1 00:00:06,940 --> 00:00:09,440 - So I'm thrilled to welcome, Dr. Erika Svendsen 2 00:00:09,440 --> 00:00:12,560 to the virtual stage as our plenary speaker for today. 3 00:00:12,560 --> 00:00:15,480 Erika is a social scientist with the USDA Forest Service 4 00:00:15,480 --> 00:00:17,760 and a leader in the field of environmental stewardship 5 00:00:17,760 --> 00:00:19,680 as it relates to governance, civic engagement, 6 00:00:19,680 --> 00:00:21,180 and urban forestry. 7 00:00:21,180 --> 00:00:23,010 She holds a doctorate in Urban Planning 8 00:00:23,010 --> 00:00:24,180 from Columbia University, 9 00:00:24,180 --> 00:00:25,013 and a master's 10 00:00:25,013 --> 00:00:27,950 from Yale School of Forestry and Environmental Studies. 11 00:00:27,950 --> 00:00:30,230 And is a co-director of the New York Urban Field Station 12 00:00:30,230 --> 00:00:32,340 where she emphasizes the co-production of knowledge 13 00:00:32,340 --> 00:00:33,540 and fosters collaboration 14 00:00:33,540 --> 00:00:36,070 among natural resource professionals. 15 00:00:36,070 --> 00:00:38,210 She's also the co-founder of STEW-MAP, 16 00:00:38,210 --> 00:00:40,200 a research project in sustainability 17 00:00:40,200 --> 00:00:42,630 to visualize, amplify, and support the work 18 00:00:42,630 --> 00:00:44,010 of thousands of civic groups 19 00:00:44,010 --> 00:00:46,380 as they care for their local environment. 20 00:00:46,380 --> 00:00:48,190 And reflecting on the theme of this conference, 21 00:00:48,190 --> 00:00:49,110 it's all about responding 22 00:00:49,110 --> 00:00:51,120 to disruption, disturbance, and change. 23 00:00:51,120 --> 00:00:52,740 Things we as environmental professionals 24 00:00:52,740 --> 00:00:54,540 contemplate most every day. 25 00:00:54,540 --> 00:00:57,960 We are very adept to thinking of responses as reaction. 26 00:00:57,960 --> 00:00:59,910 What do we do and how do we do it? 27 00:00:59,910 --> 00:01:01,670 But reaction doesn't always encompass 28 00:01:01,670 --> 00:01:03,930 a creative, hopeful, transformative thinking 29 00:01:03,930 --> 00:01:05,840 that we need to not only react to change 30 00:01:05,840 --> 00:01:09,300 but thrive, build, and grow in our response to it. 31 00:01:09,300 --> 00:01:11,330 And we know that despite these trying times 32 00:01:11,330 --> 00:01:13,070 that energy and potential is out there 33 00:01:13,070 --> 00:01:15,700 and it needs to be examined and celebrated. 34 00:01:15,700 --> 00:01:18,410 In recent years, Erika has focused to work on understanding 35 00:01:18,410 --> 00:01:20,080 the role of green responders. 36 00:01:20,080 --> 00:01:21,590 And thus, it's with great pleasure 37 00:01:21,590 --> 00:01:23,337 that I welcome Erika for her talk titled, 38 00:01:23,337 --> 00:01:25,370 "Green Responders: Examining the role 39 00:01:25,370 --> 00:01:26,320 of environmental groups 40 00:01:26,320 --> 00:01:28,970 during times of acute and chronic disturbance." 41 00:01:28,970 --> 00:01:30,060 Erika. 42 00:01:30,060 --> 00:01:31,850 - Thank you, Jim. 43 00:01:31,850 --> 00:01:32,683 Thank you, all. 44 00:01:32,683 --> 00:01:35,113 It is my honor to be with you this morning. 45 00:01:36,300 --> 00:01:39,660 And what lovely remarks and very inspiring remarks 46 00:01:39,660 --> 00:01:43,490 from Dean Matthews, Jim, Elissa, 47 00:01:43,490 --> 00:01:45,473 the whole staff and community. 48 00:01:46,340 --> 00:01:48,490 My deep appreciation and excitement 49 00:01:48,490 --> 00:01:50,239 to come to you this morning 50 00:01:50,239 --> 00:01:54,770 and reflect back on the work that I've done over the years 51 00:01:54,770 --> 00:01:57,770 around disturbance and change 52 00:01:58,620 --> 00:02:01,360 and share with you a little bit of insight 53 00:02:01,360 --> 00:02:03,510 and hopefully have a discussion at the end. 54 00:02:04,480 --> 00:02:05,917 I am gonna be speaking about 55 00:02:05,917 --> 00:02:08,470 "Green Responders: Examining the role 56 00:02:08,470 --> 00:02:11,500 of environmental stewardship groups 57 00:02:11,500 --> 00:02:15,430 during acute and chronic disturbances." 58 00:02:15,430 --> 00:02:17,690 I am a research social scientist 59 00:02:17,690 --> 00:02:19,240 with the United States Forest Service. 60 00:02:19,240 --> 00:02:23,743 I've been in that role now, gosh, for about 20 years. 61 00:02:24,810 --> 00:02:29,290 I am based out of New York City at our field station there. 62 00:02:29,290 --> 00:02:33,560 We like to say we are placed-based, that is, 63 00:02:33,560 --> 00:02:34,670 but not place-bound. 64 00:02:34,670 --> 00:02:36,630 And a lot of our work and collaboration 65 00:02:36,630 --> 00:02:38,440 takes us throughout the country 66 00:02:38,440 --> 00:02:41,530 as well as other parts of the world. 67 00:02:41,530 --> 00:02:45,170 So, I really am excited to be here this morning. 68 00:02:45,170 --> 00:02:49,510 It gave me a real chance to pause in my own work and reflect 69 00:02:49,510 --> 00:02:52,410 and really select some of the key projects 70 00:02:52,410 --> 00:02:56,370 that I've been involved with over the years now 71 00:02:56,370 --> 00:02:58,750 that I think might be most interesting 72 00:02:58,750 --> 00:03:03,063 to bring to this forum and to discuss with you. 73 00:03:04,170 --> 00:03:07,200 So, little bit of way-finding. 74 00:03:07,200 --> 00:03:10,940 So, I'm going to share with you just a very brief 75 00:03:10,940 --> 00:03:13,923 and basic rationale for the work that I do. 76 00:03:15,470 --> 00:03:16,960 Then go into a little bit 77 00:03:16,960 --> 00:03:19,680 of a longer part of the presentation 78 00:03:19,680 --> 00:03:23,630 and share with you three cases from my research 79 00:03:25,070 --> 00:03:27,760 on and with green responders. 80 00:03:27,760 --> 00:03:31,600 And those are comparative cases 81 00:03:31,600 --> 00:03:36,260 from different parts of the country. 82 00:03:36,260 --> 00:03:41,210 And third, I'm going to dive into a tool we've developed 83 00:03:41,210 --> 00:03:44,090 to help natural resource managers over the years 84 00:03:44,090 --> 00:03:46,650 to prepare pre and post disturbance 85 00:03:46,650 --> 00:03:50,770 and to work with community a little bit more directly. 86 00:03:50,770 --> 00:03:52,120 And then, some reflections. 87 00:03:57,080 --> 00:04:01,300 So, there's something, I don't need to tell this group, 88 00:04:01,300 --> 00:04:04,450 about a tree, about a forest, 89 00:04:04,450 --> 00:04:07,943 something that really compels us into its care. 90 00:04:10,600 --> 00:04:15,050 Perhaps, because there's a symmetry that exists 91 00:04:15,050 --> 00:04:19,060 between ourselves and that forest and that tree. 92 00:04:19,060 --> 00:04:22,660 And even a single tree has a remarkable ability 93 00:04:22,660 --> 00:04:25,913 to reveal something to us about ourselves. 94 00:04:29,140 --> 00:04:32,470 We mourn when the woods have fallen, 95 00:04:32,470 --> 00:04:36,863 finding ways to honor life and actively engage in renewal. 96 00:04:37,720 --> 00:04:41,460 This picture was taken actually by me 97 00:04:41,460 --> 00:04:45,070 at the World Forestry Congress a few years ago now. 98 00:04:45,070 --> 00:04:49,040 And just an outstandingly moving memorial 99 00:04:49,040 --> 00:04:53,580 to these trees that were struck down by storm 100 00:04:54,670 --> 00:04:58,760 and just had us all really reflecting every minute 101 00:04:58,760 --> 00:05:01,900 about disturbance and change and adaption, 102 00:05:01,900 --> 00:05:05,310 not just to the landscape but ourselves in that setting. 103 00:05:05,310 --> 00:05:06,513 It was very powerful. 104 00:05:09,000 --> 00:05:13,340 We also know that in times of great human tragedy, 105 00:05:13,340 --> 00:05:17,993 we often draw strength from a tree's ability to endure. 106 00:05:20,040 --> 00:05:22,800 And this, of course, is the Survivor Tree 107 00:05:23,940 --> 00:05:26,720 which is one of the more emergent parts 108 00:05:26,720 --> 00:05:30,320 of the National September 11 Memorial. 109 00:05:30,320 --> 00:05:33,150 That if any of you have been there, in Lower Manhattan, 110 00:05:33,150 --> 00:05:36,070 you know this tree draws the attention 111 00:05:36,070 --> 00:05:39,670 of millions of people every year. 112 00:05:39,670 --> 00:05:44,570 Single humble tree in the midst of that memorial. 113 00:05:44,570 --> 00:05:49,570 Very powerful and unique value that trees and forest give us 114 00:05:51,210 --> 00:05:53,680 perhaps its greatest value 115 00:05:53,680 --> 00:05:56,630 and one that we don't maybe talk enough about. 116 00:05:56,630 --> 00:05:59,280 And doing so, you know, 117 00:05:59,280 --> 00:06:03,020 knowing that we need to preserve what we've got, 118 00:06:03,020 --> 00:06:05,990 the single tree, the dense forest 119 00:06:05,990 --> 00:06:07,760 that in doing so we need to engage 120 00:06:07,760 --> 00:06:10,700 all of our capacities and capabilities. 121 00:06:10,700 --> 00:06:13,640 And to remember that we have an enormous capacity 122 00:06:13,640 --> 00:06:16,313 for care and for engagement. 123 00:06:17,210 --> 00:06:20,910 You know a lot of times, anecdotally as a social scientist, 124 00:06:20,910 --> 00:06:24,770 people say to me, how can we motivate community? 125 00:06:24,770 --> 00:06:26,840 How can we get people more involved? 126 00:06:26,840 --> 00:06:28,820 How can we get people to care? 127 00:06:28,820 --> 00:06:31,750 And I often say, well, there's a couple of ways. 128 00:06:31,750 --> 00:06:35,710 One of the most popular one is fear. 129 00:06:37,820 --> 00:06:42,663 Well, climate change is a bum among us and we have to act. 130 00:06:43,730 --> 00:06:45,930 The other is guilt, 131 00:06:45,930 --> 00:06:48,140 we did this, we gotta clean up this mess. 132 00:06:48,140 --> 00:06:50,340 It's our problem. 133 00:06:50,340 --> 00:06:52,790 Another good motivator is money and profit. 134 00:06:52,790 --> 00:06:56,910 And that there are gains to be made in the environment. 135 00:06:56,910 --> 00:07:00,620 But I find that the most abiding motivation over the years 136 00:07:00,620 --> 00:07:04,690 is simply love and our capacity to care for each other. 137 00:07:04,690 --> 00:07:05,850 So this is at the end 138 00:07:05,850 --> 00:07:08,050 when I go back to sites over the years, 139 00:07:08,050 --> 00:07:12,160 you know, it's really the people, the places 140 00:07:12,160 --> 00:07:15,180 that stick with stewarding the landscape 141 00:07:15,180 --> 00:07:20,180 whether it's in urban areas or rural or anything in between, 142 00:07:20,400 --> 00:07:22,760 there is some element, there is some persistence 143 00:07:22,760 --> 00:07:25,833 of love and that capacity to care. 144 00:07:27,060 --> 00:07:31,380 So, I did promise a presentation about green responders 145 00:07:31,380 --> 00:07:34,120 and sharing with you some of the research over the years 146 00:07:34,120 --> 00:07:37,880 looking at the role that stewardship groups and individuals 147 00:07:37,880 --> 00:07:42,600 play during times of acute and chronic disturbance. 148 00:07:42,600 --> 00:07:46,510 I did want to just do some definition work here. 149 00:07:46,510 --> 00:07:48,630 In that, what do I mean by disturbance? 150 00:07:48,630 --> 00:07:50,970 And what is a green responder? 151 00:07:50,970 --> 00:07:54,690 Well, with disturbance what we often talk about 152 00:07:54,690 --> 00:07:57,300 and we look at disturbance through these often 153 00:07:57,300 --> 00:08:01,820 two lenses of acute disturbance and chronic disturbance. 154 00:08:01,820 --> 00:08:05,060 And often it becomes very hard to disentangle the two, 155 00:08:05,060 --> 00:08:09,770 almost like that chicken and egg thing. 156 00:08:09,770 --> 00:08:12,920 So acute though would be a stock market crash, 157 00:08:12,920 --> 00:08:16,030 a lightning storm or hurricane. 158 00:08:16,030 --> 00:08:21,030 Chronic might be a slow decline of a neighborhood, 159 00:08:21,610 --> 00:08:24,270 a deterioration of a relationship, 160 00:08:24,270 --> 00:08:28,010 or the incremental damage caused by an invasive pest. 161 00:08:28,010 --> 00:08:31,520 And you get the idea and suddenly soon, sure enough, 162 00:08:31,520 --> 00:08:34,500 these two things often, the acute and the chronic, 163 00:08:34,500 --> 00:08:36,640 usually become so entangled 164 00:08:36,640 --> 00:08:40,660 that it doesn't even make sense to disentangle them 165 00:08:40,660 --> 00:08:45,103 but just to recover, to restore, and to learn. 166 00:08:46,760 --> 00:08:49,620 And what is a green responder? 167 00:08:49,620 --> 00:08:53,810 Well, I've been tracking green responders all my career, 168 00:08:53,810 --> 00:08:55,640 chasing them if you will, 169 00:08:55,640 --> 00:09:00,630 alongside one of my very dear colleagues all these years, 170 00:09:00,630 --> 00:09:03,730 Lindsay Campbell who also is with the US Forest Service 171 00:09:03,730 --> 00:09:05,280 as well as Michelle Johnson 172 00:09:06,220 --> 00:09:07,640 who's also with the Forest Service. 173 00:09:07,640 --> 00:09:09,730 The three of us are based in New York City 174 00:09:09,730 --> 00:09:11,900 and we do different work occasionally, 175 00:09:11,900 --> 00:09:15,977 but often we are together looking at 176 00:09:15,977 --> 00:09:19,710 and learning from what we call green responders. 177 00:09:19,710 --> 00:09:22,470 And those are what I would say, 178 00:09:22,470 --> 00:09:27,470 everyday people in everyday landscapes, if you will, 179 00:09:27,800 --> 00:09:31,040 who are responding to disturbance as it hits them 180 00:09:31,040 --> 00:09:34,240 as individuals in their community 181 00:09:34,240 --> 00:09:36,900 and sometimes across a broader region 182 00:09:36,900 --> 00:09:39,450 in acute and chronic situations. 183 00:09:39,450 --> 00:09:41,550 But we take particular note 184 00:09:41,550 --> 00:09:44,380 when we find these individuals in groups 185 00:09:45,760 --> 00:09:50,360 responding to that disturbance by planting trees, 186 00:09:50,360 --> 00:09:55,360 by sewing sowing the seeds of a garden in a vacant lot, 187 00:09:56,370 --> 00:09:59,440 by organizing into a coalition, much like yourselves, 188 00:09:59,440 --> 00:10:03,543 to monitor and care for the landscape. 189 00:10:04,690 --> 00:10:08,160 And so, in this broad net 190 00:10:08,160 --> 00:10:11,510 we would call you all green responders at some point 191 00:10:11,510 --> 00:10:16,510 using nature as a mode for recovery, for restoration, 192 00:10:16,530 --> 00:10:19,580 and even oftentimes some redemption. 193 00:10:19,580 --> 00:10:22,800 So pictured here are just a handful of the hundreds, 194 00:10:22,800 --> 00:10:27,040 and I will say thousands of groups 195 00:10:27,040 --> 00:10:29,670 that we have tracked and looked at 196 00:10:29,670 --> 00:10:32,450 and cataloged over the years 197 00:10:33,550 --> 00:10:35,740 that have responded in this way. 198 00:10:35,740 --> 00:10:40,740 And despite sometimes the very challenging circumstances 199 00:10:41,480 --> 00:10:43,790 that people find themselves in, 200 00:10:43,790 --> 00:10:48,270 it is inspiring and a note of promise 201 00:10:48,270 --> 00:10:52,053 of, again, our capacity to care and what we can do together. 202 00:10:53,560 --> 00:10:55,000 So I'm gonna pivot now 203 00:10:55,000 --> 00:10:59,226 and share with you some of our research. 204 00:10:59,226 --> 00:11:04,226 And I've kinda nested them together into these three cases. 205 00:11:04,320 --> 00:11:07,413 And the first one I want to share with you, 206 00:11:08,560 --> 00:11:11,050 and I have to move my screen just a little bit 207 00:11:11,050 --> 00:11:13,113 so I can track along, 208 00:11:15,748 --> 00:11:17,743 I'm gonna share with you two projects, 209 00:11:18,690 --> 00:11:23,230 two research projects that we've worked on in the past. 210 00:11:23,230 --> 00:11:26,877 One relates to September 11 211 00:11:26,877 --> 00:11:28,640 and the terrorist attack on that day. 212 00:11:28,640 --> 00:11:31,550 And the other is the 1970s Fiscal Crisis 213 00:11:31,550 --> 00:11:36,550 and how it specifically hit cities in the United States 214 00:11:37,570 --> 00:11:40,490 pretty hard with a lot of vacant land 215 00:11:40,490 --> 00:11:45,490 and open opportunities for gardens and trees and the like. 216 00:11:47,270 --> 00:11:48,910 But you might think, 217 00:11:48,910 --> 00:11:50,780 what do these things have to do with each other? 218 00:11:50,780 --> 00:11:52,650 And in fact they did originate 219 00:11:52,650 --> 00:11:54,660 as two distinct research projects. 220 00:11:54,660 --> 00:11:55,590 And let me just give you. 221 00:11:55,590 --> 00:11:56,970 On the top left, 222 00:11:56,970 --> 00:12:01,190 you'll see that's Memorial Tree Planting 223 00:12:01,190 --> 00:12:03,007 shortly after September 11 224 00:12:03,007 --> 00:12:08,007 for a firefighter who was killed on that day, 225 00:12:08,630 --> 00:12:09,530 this is in Queens. 226 00:12:09,530 --> 00:12:13,980 On the top right, a scrappy group from Lower Manhattan 227 00:12:13,980 --> 00:12:18,710 that are attending to planting trees, planting sunflowers 228 00:12:18,710 --> 00:12:20,410 so that there's something beautiful 229 00:12:20,410 --> 00:12:23,510 that would emerge in the spring that year. 230 00:12:23,510 --> 00:12:27,520 Lower left is an infamous title from the daily news 231 00:12:27,520 --> 00:12:31,460 when President Ford told New York City essentially that 232 00:12:31,460 --> 00:12:34,010 recovery dollars would not be coming. 233 00:12:34,010 --> 00:12:37,700 And the headline was, "Ford to City: Drop Dead". 234 00:12:37,700 --> 00:12:42,530 And on the lower right is a community garden in the Bronx. 235 00:12:45,420 --> 00:12:48,350 And this is an example of the hundreds of community gardens 236 00:12:48,350 --> 00:12:52,120 that kind of rose up during that time in particular 237 00:12:52,120 --> 00:12:54,070 in response to a lack of services, 238 00:12:54,070 --> 00:12:56,100 the lack of parks and open space, 239 00:12:56,100 --> 00:12:58,013 the lack of sanitation in greening. 240 00:12:58,890 --> 00:13:01,820 And so, many of you are probably familiar with that story. 241 00:13:01,820 --> 00:13:04,110 But back to the research project. 242 00:13:04,110 --> 00:13:07,050 On September 11, actually this was my first project 243 00:13:07,050 --> 00:13:08,540 that brought me into the Forest Service. 244 00:13:08,540 --> 00:13:13,330 I was hired to use the, if you will, 245 00:13:13,330 --> 00:13:17,760 resonating power of trees to help communities recover 246 00:13:17,760 --> 00:13:20,930 and kind of come to terms with that attack, 247 00:13:20,930 --> 00:13:23,770 particularly in the north east. 248 00:13:23,770 --> 00:13:27,050 And so, Lindsay Campbell and I went ahead and we studied 249 00:13:27,050 --> 00:13:30,703 hundreds of essentially living memorials parks, 250 00:13:31,740 --> 00:13:36,610 land trust projects, forest plantings, you name it. 251 00:13:36,610 --> 00:13:41,610 And that is what you would call the acute disturbance. 252 00:13:42,100 --> 00:13:44,600 And what we learned from that time 253 00:13:45,550 --> 00:13:49,480 was that people's need to be in the public realm, 254 00:13:49,480 --> 00:13:51,580 to bring forth that mourning, 255 00:13:51,580 --> 00:13:55,000 to kind of be with and be in the company of others. 256 00:13:55,000 --> 00:13:59,420 When we were also doing the research around the 1970s 257 00:13:59,420 --> 00:14:00,440 and trying to look back 258 00:14:00,440 --> 00:14:02,830 and look at the origins of many of these gardens, 259 00:14:02,830 --> 00:14:03,960 particularly in New York City 260 00:14:03,960 --> 00:14:06,140 but in other cities as well, 261 00:14:06,140 --> 00:14:07,690 we would do interviews and the like 262 00:14:07,690 --> 00:14:09,490 and we would talk to stewards. 263 00:14:09,490 --> 00:14:13,494 And we were struck on the similarities of folks responding 264 00:14:13,494 --> 00:14:16,990 and responding with green if you will, 265 00:14:16,990 --> 00:14:18,780 for the September 11 memorials. 266 00:14:18,780 --> 00:14:20,590 And we were struck by the similarities 267 00:14:20,590 --> 00:14:24,230 with these gardeners of the 1970s. 268 00:14:24,230 --> 00:14:26,880 And in both cases everyone, 269 00:14:26,880 --> 00:14:29,460 really when you say the reason for being 270 00:14:29,460 --> 00:14:31,260 was to be in the company of others 271 00:14:32,290 --> 00:14:36,530 to regain a sense of control in their community, 272 00:14:36,530 --> 00:14:40,390 their physical community but also their social community 273 00:14:40,390 --> 00:14:43,960 to care for each other and share and to leave a legacy 274 00:14:43,960 --> 00:14:46,420 and to try and leave a legacy for next generation 275 00:14:46,420 --> 00:14:50,460 that was different than what was brought onto them 276 00:14:50,460 --> 00:14:53,430 from economic decline of the 1970s 277 00:14:53,430 --> 00:14:58,160 and of course, the horrific terrorist attack on that day. 278 00:14:58,160 --> 00:15:00,810 So, really strong similarities there 279 00:15:00,810 --> 00:15:03,640 that at the individual insight level 280 00:15:03,640 --> 00:15:05,840 that kind of piqued our curiosity. 281 00:15:05,840 --> 00:15:08,290 And we've tracked these sites over the years, 282 00:15:08,290 --> 00:15:09,268 a subset of them. 283 00:15:09,268 --> 00:15:13,840 And most recently with the Heather McMillen 284 00:15:13,840 --> 00:15:16,140 produced a paper on social resilience. 285 00:15:16,140 --> 00:15:18,910 Social resilience is a very popular term these days. 286 00:15:18,910 --> 00:15:20,630 It's something that you can't really buy. 287 00:15:20,630 --> 00:15:22,160 It's something that doesn't come off 288 00:15:22,160 --> 00:15:25,040 a FEMA emergency response truck. 289 00:15:25,040 --> 00:15:26,500 It's something that has to be there 290 00:15:26,500 --> 00:15:29,323 in place pre-disturbance. 291 00:15:32,130 --> 00:15:34,490 It is place attachment. 292 00:15:34,490 --> 00:15:37,330 It is having a core community identity. 293 00:15:37,330 --> 00:15:41,360 It is repositories of social trust. 294 00:15:41,360 --> 00:15:43,670 And that's the kind of thing that we really need 295 00:15:43,670 --> 00:15:46,120 at times of change and adaptation. 296 00:15:46,120 --> 00:15:49,980 And we find it as people steward the landscape 297 00:15:49,980 --> 00:15:52,890 in these two very distinct disturbances, 298 00:15:52,890 --> 00:15:56,040 different disturbances but a lot of similarities. 299 00:15:56,040 --> 00:15:58,723 So, that brings us to other studies. 300 00:15:59,980 --> 00:16:04,180 This one is a little bit focused at a different scale 301 00:16:04,180 --> 00:16:08,300 more looking at how are environmental groups, 302 00:16:08,300 --> 00:16:10,820 stewardship groups not as much individuals, 303 00:16:10,820 --> 00:16:13,758 not as much site based but more neighborhood based, 304 00:16:13,758 --> 00:16:16,450 how are individual, sorry, 305 00:16:16,450 --> 00:16:19,210 how are organizations responding to change 306 00:16:19,210 --> 00:16:21,000 during times of disturbance? 307 00:16:21,000 --> 00:16:23,007 And so, again, these started off 308 00:16:23,007 --> 00:16:25,610 as two different research studies. 309 00:16:25,610 --> 00:16:30,450 One was looking back in the weeks and months 310 00:16:30,450 --> 00:16:35,300 after superstorm Sandy hit the region. 311 00:16:35,300 --> 00:16:38,090 We wanted to better understand how environmental groups 312 00:16:38,090 --> 00:16:40,540 were playing a role in recovery and response. 313 00:16:40,540 --> 00:16:45,005 And the other is basically looking at our own backyard 314 00:16:45,005 --> 00:16:48,540 in the Jamaica Bay in the New York City region, 315 00:16:48,540 --> 00:16:51,270 and looking at how communities, environmental groups 316 00:16:51,270 --> 00:16:54,900 are dealing with every day or sunny day flooding, 317 00:16:54,900 --> 00:16:56,530 as they call it the nuisance flooding, 318 00:16:56,530 --> 00:17:01,530 that's out there based in results arising sea levels. 319 00:17:02,020 --> 00:17:04,870 And here too, we found similarities 320 00:17:04,870 --> 00:17:07,160 but we found some key differences. 321 00:17:07,160 --> 00:17:09,620 Top left, you see Hurricane Sandy. 322 00:17:09,620 --> 00:17:12,870 Top right, you see that is a tree planting 323 00:17:12,870 --> 00:17:14,730 very shortly in the spring. 324 00:17:14,730 --> 00:17:18,140 After Hurricane Sandy hundreds, thousands of people came out 325 00:17:18,140 --> 00:17:19,670 to plant trees in the Rockaway 326 00:17:19,670 --> 00:17:22,020 to restore part of the shoreline area. 327 00:17:22,020 --> 00:17:23,060 Lower left, 328 00:17:25,243 --> 00:17:26,290 lower right sorry, 329 00:17:26,290 --> 00:17:27,950 that is an example of sunny day flooding 330 00:17:27,950 --> 00:17:30,540 which is recently, actually, 331 00:17:30,540 --> 00:17:34,380 from the Hamilton Beach, Howard Beach area at high tide. 332 00:17:34,380 --> 00:17:38,962 And lower left is a flood watch community flyer 333 00:17:38,962 --> 00:17:42,740 to basically call out the community 334 00:17:42,740 --> 00:17:46,600 to start to identify the times, locations 335 00:17:46,600 --> 00:17:48,250 'cause it varies street to street 336 00:17:48,250 --> 00:17:52,290 of when flooding is happening in the community. 337 00:17:52,290 --> 00:17:56,540 And we bring that all together because, you know, 338 00:17:56,540 --> 00:18:00,480 with the superstorm and in the large scale disturbances 339 00:18:00,480 --> 00:18:02,100 and that acute disturbance, 340 00:18:02,100 --> 00:18:03,020 it's almost like, you know, 341 00:18:03,020 --> 00:18:05,700 there's a rapid response incident command team 342 00:18:05,700 --> 00:18:08,190 government is built to do this, 343 00:18:08,190 --> 00:18:09,223 we respond. 344 00:18:10,180 --> 00:18:14,363 But what we found is much, I guess, 345 00:18:15,450 --> 00:18:20,450 less able to respond to that lower scale disturbance 346 00:18:20,950 --> 00:18:25,900 of the everyday nuisance flooding and the like. 347 00:18:25,900 --> 00:18:28,340 During the time of superstorm Sandy, 348 00:18:28,340 --> 00:18:31,690 we found that environmental groups in New York City 349 00:18:31,690 --> 00:18:35,120 not only responded, but they responded differently. 350 00:18:35,120 --> 00:18:38,070 They didn't often respond just by planting trees. 351 00:18:38,070 --> 00:18:42,770 They also got involved in all sorts of mutual aid networks, 352 00:18:42,770 --> 00:18:45,460 and knocking on doors, 353 00:18:45,460 --> 00:18:47,130 and identifying what key issues 354 00:18:49,506 --> 00:18:51,310 needed to be addressed in certain communities, 355 00:18:51,310 --> 00:18:53,320 handing out food and water, 356 00:18:53,320 --> 00:18:55,830 and then over time started to integrate back 357 00:18:55,830 --> 00:18:57,080 into what they do best, 358 00:18:57,080 --> 00:18:58,870 which is environmental stewardship 359 00:18:58,870 --> 00:19:02,240 and bringing kind of that recovery mode 360 00:19:02,240 --> 00:19:05,690 back into those stewardship events and projects. 361 00:19:05,690 --> 00:19:09,010 So, we really saw after Hurricane Sandy 362 00:19:09,010 --> 00:19:11,730 that environmental groups had this ability 363 00:19:11,730 --> 00:19:14,910 to adapt and respond in a way, 364 00:19:14,910 --> 00:19:17,220 again, that's different from their core mission 365 00:19:17,220 --> 00:19:19,500 but incredibly needed. 366 00:19:19,500 --> 00:19:21,730 They were flexible and they adapted. 367 00:19:21,730 --> 00:19:24,570 When we look at the sunny day flooding we find that, 368 00:19:24,570 --> 00:19:27,673 again, government is less of a big player in that. 369 00:19:28,620 --> 00:19:31,440 At the moment we do see a tremendous amount 370 00:19:31,440 --> 00:19:34,350 of collaboration happening in the co-production of knowledge 371 00:19:34,350 --> 00:19:36,297 models are out there and we're involved in this study. 372 00:19:36,297 --> 00:19:38,460 The study is happening actually right now. 373 00:19:38,460 --> 00:19:40,100 We published one paper from it 374 00:19:40,100 --> 00:19:43,200 but we're kind of scaling up to do a little bit more. 375 00:19:43,200 --> 00:19:46,120 And we're finding that it's just critically important 376 00:19:46,120 --> 00:19:49,270 that in some of these slower scale disturbances, 377 00:19:49,270 --> 00:19:51,010 the more chronic that, you know, 378 00:19:51,010 --> 00:19:53,833 local ecological knowledge is critical. 379 00:19:54,940 --> 00:19:57,230 The ability to adapt to this new normal 380 00:19:57,230 --> 00:20:00,630 is not, again, something that sometimes 381 00:20:00,630 --> 00:20:03,913 large government response teams are geared up to do. 382 00:20:05,170 --> 00:20:06,380 But we're getting there 383 00:20:06,380 --> 00:20:09,500 and understanding kind of the longer arc of recovery 384 00:20:09,500 --> 00:20:11,033 and what's needed. 385 00:20:12,260 --> 00:20:15,370 And the third case that I wanted to share for you 386 00:20:15,370 --> 00:20:19,760 is also positioned at a different scale 387 00:20:19,760 --> 00:20:22,410 on the scale of social organizational networks 388 00:20:22,410 --> 00:20:23,510 or regional scales. 389 00:20:23,510 --> 00:20:28,510 So, we just published a series of papers from this study 390 00:20:28,630 --> 00:20:33,630 that we started basically a couple of weeks into COVID-19. 391 00:20:34,450 --> 00:20:36,530 We immediately said, well, we're home 392 00:20:36,530 --> 00:20:39,070 here we are feeling useless. 393 00:20:39,070 --> 00:20:40,930 As researchers what can we do? 394 00:20:40,930 --> 00:20:45,775 Well, let's take a peek at how environmental governance 395 00:20:45,775 --> 00:20:48,220 is managing during COVID-19. 396 00:20:48,220 --> 00:20:52,440 How are environmental groups responding to COVID-19? 397 00:20:52,440 --> 00:20:56,540 We all know that, there was a huge uptake and still is 398 00:20:56,540 --> 00:21:00,680 in recreation use and the appreciation of nature and forests 399 00:21:00,680 --> 00:21:03,933 in like city as well as rural. 400 00:21:05,160 --> 00:21:06,760 And we wanted to understand, you know, 401 00:21:06,760 --> 00:21:08,160 what environmental stewardship groups 402 00:21:08,160 --> 00:21:09,923 were doing in that context. 403 00:21:10,990 --> 00:21:14,190 No more than a few months in, 404 00:21:14,190 --> 00:21:16,640 we have the murder of George Floyd 405 00:21:16,640 --> 00:21:19,370 and the Black Lives Matter protests. 406 00:21:19,370 --> 00:21:23,680 And we start to, these things in an open space 407 00:21:23,680 --> 00:21:25,990 and even the forest parks and open spaces 408 00:21:25,990 --> 00:21:29,320 become in many ways protest spaces. 409 00:21:29,320 --> 00:21:33,270 So there at once a space for reflection and recreation 410 00:21:33,270 --> 00:21:36,370 and at the same time becoming spaces for protests, 411 00:21:36,370 --> 00:21:39,630 for messaging, for organizing. 412 00:21:39,630 --> 00:21:42,110 So, wow, what are stewardship groups doing? 413 00:21:42,110 --> 00:21:47,110 Well, in New York City, we looked at stewardship groups 414 00:21:47,620 --> 00:21:51,280 and we looked at the parks department and the municipality 415 00:21:51,280 --> 00:21:53,330 and how they work together to respond. 416 00:21:53,330 --> 00:21:54,330 And then we've fanned out 417 00:21:54,330 --> 00:21:56,700 across the eastern region of the Forest Service 418 00:21:56,700 --> 00:22:01,230 and surveyed several national forest 419 00:22:01,230 --> 00:22:02,927 and talk to their recreation folks 420 00:22:02,927 --> 00:22:06,010 and their public affairs folks and the partnership folks 421 00:22:06,010 --> 00:22:11,010 to learn how those folks were adapting in place. 422 00:22:11,280 --> 00:22:16,050 And what we found was striking, once again, 423 00:22:16,050 --> 00:22:17,940 that environmental stewardship groups 424 00:22:17,940 --> 00:22:21,220 really well-suited to adapt to this moment. 425 00:22:21,220 --> 00:22:23,320 We saw a lot of spanning, again, 426 00:22:23,320 --> 00:22:25,050 as we saw with Hurricane Sandy 427 00:22:25,050 --> 00:22:25,987 where groups were saying, 428 00:22:25,987 --> 00:22:28,450 "Well, I do X, but now I'm gonna do Y 429 00:22:28,450 --> 00:22:30,100 because this is what's really important 430 00:22:30,100 --> 00:22:31,840 for the good of the cause here." 431 00:22:31,840 --> 00:22:34,400 We saw a lot of groups crossing boundaries 432 00:22:34,400 --> 00:22:37,020 and working in new ways and innovating. 433 00:22:37,020 --> 00:22:39,820 And we saw groups, stewardship groups in particular, 434 00:22:39,820 --> 00:22:44,820 really bringing to light this unevenness and inequalities 435 00:22:44,880 --> 00:22:47,580 that we find in funding across the landscape 436 00:22:47,580 --> 00:22:50,490 and how people can access nature 437 00:22:50,490 --> 00:22:52,600 across the landscape very different. 438 00:22:52,600 --> 00:22:56,860 And some issues around welcoming or not so welcoming 439 00:22:56,860 --> 00:22:59,630 design and programming. 440 00:22:59,630 --> 00:23:02,380 So, in New York City in particular, 441 00:23:02,380 --> 00:23:04,190 because the partnership network, 442 00:23:04,190 --> 00:23:05,800 environmental stewardship network, 443 00:23:05,800 --> 00:23:09,900 is so tightly woven prior to disturbance 444 00:23:10,930 --> 00:23:13,200 we saw them raise unprecedented amounts 445 00:23:13,200 --> 00:23:15,250 of money and resources 446 00:23:15,250 --> 00:23:17,200 and came together in a way 447 00:23:17,200 --> 00:23:19,590 to really support the parks department there 448 00:23:19,590 --> 00:23:22,523 at a time when their budget basically was leveled out. 449 00:23:23,360 --> 00:23:25,670 And we saw a lot of environmental groups 450 00:23:25,670 --> 00:23:28,160 joining with social service organizations 451 00:23:28,160 --> 00:23:28,997 and mutual aid groups 452 00:23:28,997 --> 00:23:33,880 and really forming bonds that now lasts to this day 453 00:23:33,880 --> 00:23:38,880 and they've become bigger and more effective in many ways. 454 00:23:39,380 --> 00:23:41,310 And it really did, for us, 455 00:23:41,310 --> 00:23:45,370 affirm the critical role of pre-existing partnerships. 456 00:23:45,370 --> 00:23:46,930 You know, you all are cooperatives, 457 00:23:46,930 --> 00:23:49,380 stay together, build more, grow more. 458 00:23:49,380 --> 00:23:52,110 I mean, it really works and it helps 459 00:23:52,110 --> 00:23:55,410 particularly during these challenging times. 460 00:23:55,410 --> 00:23:58,650 And partnerships can also help shape an organization. 461 00:23:58,650 --> 00:24:02,710 We learned in many ways from Forest Service looking inward, 462 00:24:02,710 --> 00:24:06,020 that our partners help kind of shape and define us 463 00:24:06,020 --> 00:24:08,290 as much as we do our partners. 464 00:24:08,290 --> 00:24:11,260 And really it matters. 465 00:24:11,260 --> 00:24:13,040 It depends on who you partner with 466 00:24:13,040 --> 00:24:15,570 and that's a very important relationship. 467 00:24:15,570 --> 00:24:20,120 And the need for transparency in these relationships 468 00:24:20,120 --> 00:24:24,340 also was very critical at this time for reflective learning, 469 00:24:24,340 --> 00:24:26,680 not to come out and say, I have all the answers. 470 00:24:26,680 --> 00:24:28,460 But more here are the questions, 471 00:24:28,460 --> 00:24:31,260 how can we tackle them together? 472 00:24:31,260 --> 00:24:33,830 Openness was a common refrain 473 00:24:33,830 --> 00:24:37,410 across the 20 state region that we looked at. 474 00:24:37,410 --> 00:24:39,500 It really did make a difference for a lot of people 475 00:24:39,500 --> 00:24:42,780 and being able to effectively get through this 476 00:24:42,780 --> 00:24:44,750 and shared leadership. 477 00:24:44,750 --> 00:24:46,683 These are kind of a hallmarks. 478 00:24:47,600 --> 00:24:50,140 To say that we didn't see it in every place. 479 00:24:50,140 --> 00:24:52,630 And that's the other part if you check at the papers. 480 00:24:52,630 --> 00:24:55,200 There are some places where we didn't see this happening, 481 00:24:55,200 --> 00:24:58,010 and there was almost an uneasy, quiet, 482 00:24:58,010 --> 00:24:59,850 and a lack of innovation. 483 00:24:59,850 --> 00:25:02,450 But we hope that by bringing some of this to light 484 00:25:02,450 --> 00:25:04,823 that will hopefully inspire others. 485 00:25:05,830 --> 00:25:08,410 And so when we get to this moment, 486 00:25:08,410 --> 00:25:11,150 this is a pivot point in the presentation 487 00:25:11,150 --> 00:25:12,550 we get to this moment, you know, 488 00:25:12,550 --> 00:25:14,860 most of what we've done over the years 489 00:25:14,860 --> 00:25:19,153 is helping groups to plan for the unplanned. 490 00:25:20,290 --> 00:25:22,470 Because, sure there's things we can predict, 491 00:25:22,470 --> 00:25:25,390 there's things we can monitor, there's things we can do 492 00:25:25,390 --> 00:25:28,180 but gosh darn it, something always happens 493 00:25:28,180 --> 00:25:29,670 that we didn't plan for. 494 00:25:29,670 --> 00:25:31,800 So how do we plan for the unplanned 495 00:25:31,800 --> 00:25:35,360 is sort of been our kind of secret aim all these years 496 00:25:35,360 --> 00:25:37,273 in the work that we do. 497 00:25:38,360 --> 00:25:42,950 So, I am gonna pivot now in this point in the presentation 498 00:25:42,950 --> 00:25:45,477 and share with you because, you know, 499 00:25:45,477 --> 00:25:48,030 I'm a government research scientist. 500 00:25:48,030 --> 00:25:53,030 My job is to conduct scientific research, 501 00:25:53,470 --> 00:25:55,470 to publish it in peer review journals. 502 00:25:55,470 --> 00:25:58,620 But it's also critical that we provide information 503 00:25:58,620 --> 00:26:02,363 that people can use, that is answering questions of our day. 504 00:26:03,504 --> 00:26:06,320 And so most of this learning 505 00:26:06,320 --> 00:26:08,040 that we've done through our research, 506 00:26:08,040 --> 00:26:12,478 we've tried to put together in practical tools 507 00:26:12,478 --> 00:26:15,800 that can be used by natural resource managers. 508 00:26:15,800 --> 00:26:18,390 So for us, we have a project called STEW-MAP, 509 00:26:18,390 --> 00:26:20,400 which I'm gonna tell you about in a minute. 510 00:26:20,400 --> 00:26:21,810 And essentially STEW-MAP is a way 511 00:26:21,810 --> 00:26:24,580 to map, track, and integrate environmental stewardship, 512 00:26:24,580 --> 00:26:26,220 all that green response. 513 00:26:26,220 --> 00:26:28,360 Green responders at group the level, 514 00:26:28,360 --> 00:26:30,520 we have forest ecosystem management. 515 00:26:30,520 --> 00:26:32,780 And when I say forest ecosystem management, 516 00:26:32,780 --> 00:26:35,170 I'm really talking about natural resource management 517 00:26:35,170 --> 00:26:37,470 across the board and across areas, 518 00:26:37,470 --> 00:26:39,743 so in urban and rural context as well. 519 00:26:40,960 --> 00:26:43,660 So, gosh, don't have to tell group 520 00:26:43,660 --> 00:26:47,480 but there is tremendous power in stewardship. 521 00:26:47,480 --> 00:26:50,670 We know this in research, not just ours, 522 00:26:50,670 --> 00:26:52,960 but research of many others as well 523 00:26:52,960 --> 00:26:55,270 has shown that stewardship can build 524 00:26:55,270 --> 00:26:56,510 and strengthen our community. 525 00:26:56,510 --> 00:26:59,810 That environmental stewardship is a means to contribute, 526 00:26:59,810 --> 00:27:03,140 to help people and communities contribute to have a purpose 527 00:27:03,140 --> 00:27:04,700 very critical on life. 528 00:27:04,700 --> 00:27:07,800 Remember that story I said at the onset about love. 529 00:27:07,800 --> 00:27:12,560 Also helping groups do catalyze change in their community. 530 00:27:12,560 --> 00:27:15,860 It serves as a form of empowerment for folks. 531 00:27:15,860 --> 00:27:17,520 And it can play a key role 532 00:27:17,520 --> 00:27:19,700 in helping communities recover from disturbances. 533 00:27:19,700 --> 00:27:20,980 We know all of this. 534 00:27:23,100 --> 00:27:24,600 We've been posing to ourselves 535 00:27:24,600 --> 00:27:28,160 as much as anybody else these days about, so what? 536 00:27:28,160 --> 00:27:29,500 So what can we do about it? 537 00:27:29,500 --> 00:27:31,240 What am I gonna do about it? 538 00:27:31,240 --> 00:27:36,170 And so, you know, STEW-MAP is kind of our answer 539 00:27:36,170 --> 00:27:40,380 to what we wanna do about it. 540 00:27:40,380 --> 00:27:42,780 So, just a little definition here. 541 00:27:42,780 --> 00:27:44,830 When I talk about stewardship, 542 00:27:44,830 --> 00:27:47,180 these are green responders as well, 543 00:27:47,180 --> 00:27:49,600 but we cast the net super wide 544 00:27:49,600 --> 00:27:51,920 and we include all those groups 545 00:27:51,920 --> 00:27:55,320 that do these kinds of like six functions. 546 00:27:55,320 --> 00:27:59,510 Which include, you know, groups like yours 547 00:27:59,510 --> 00:28:03,290 but include managing, conserving, monitoring, 548 00:28:03,290 --> 00:28:07,850 transforming like food systems or energy systems, 549 00:28:07,850 --> 00:28:11,870 advocating for, and educating the public about environment. 550 00:28:11,870 --> 00:28:15,160 So if you do any one of these things as a group, 551 00:28:15,160 --> 00:28:18,230 we like to track you in STEW-MAP. 552 00:28:18,230 --> 00:28:20,080 And STEW-MAP in many ways 553 00:28:21,860 --> 00:28:24,350 is our attempt, our humble attempt, 554 00:28:24,350 --> 00:28:25,890 because it is one way, 555 00:28:25,890 --> 00:28:28,000 we know there are other ways out there, 556 00:28:28,000 --> 00:28:31,220 but it's a way that we've refined over the years 557 00:28:31,220 --> 00:28:34,870 to make stewardship more visual with the type of precision 558 00:28:34,870 --> 00:28:38,260 that many of you monitor and care for the natural resource. 559 00:28:38,260 --> 00:28:42,997 So, here on the left, obviously, is a FIA plot. 560 00:28:42,997 --> 00:28:46,113 And here on the right is five boroughs of New York City. 561 00:28:47,450 --> 00:28:51,220 It is a map of the green responders, if you will, 562 00:28:51,220 --> 00:28:52,700 or the stewardship groups 563 00:28:52,700 --> 00:28:57,190 that are present in New York City, in what areas. 564 00:28:57,190 --> 00:29:00,020 And the darker color indicates 565 00:29:00,020 --> 00:29:02,860 kind of the overlapping areas of intensity. 566 00:29:02,860 --> 00:29:05,390 So we really take seriously this notion 567 00:29:05,390 --> 00:29:10,390 of wanting to map capacity, social civic capacity, 568 00:29:11,160 --> 00:29:13,130 to put this in conversation 569 00:29:13,130 --> 00:29:14,923 with natural resource management. 570 00:29:16,380 --> 00:29:19,130 So Stewardship Mapping and Assessment Project, 571 00:29:19,130 --> 00:29:21,270 that's what STEW-MAP stands for, 572 00:29:21,270 --> 00:29:24,970 a bit of a clunky name but can't change it now. 573 00:29:24,970 --> 00:29:26,740 But it's a pretty basic 574 00:29:26,740 --> 00:29:29,410 survey and interview-based methodology. 575 00:29:29,410 --> 00:29:32,920 And it essentially measures how, where, and why 576 00:29:32,920 --> 00:29:35,210 civic groups care for their local environment. 577 00:29:35,210 --> 00:29:37,640 And it's part of the Wayback Machine 578 00:29:37,640 --> 00:29:40,780 and it began in New York City in 2007 579 00:29:40,780 --> 00:29:45,670 and now we're in a well over 15 locations. 580 00:29:45,670 --> 00:29:47,810 And each time we show up in a different place 581 00:29:47,810 --> 00:29:49,773 and we work with different partners, 582 00:29:51,240 --> 00:29:53,780 it changes and we learn more from each and every place. 583 00:29:53,780 --> 00:29:56,820 But we also find the commonalities and the similarities 584 00:29:56,820 --> 00:30:00,550 on it's database driven, geospatial data, 585 00:30:00,550 --> 00:30:02,623 we are able to develop maps, 586 00:30:04,840 --> 00:30:06,670 we also have network data in there. 587 00:30:06,670 --> 00:30:08,480 And as I said, interview data, 588 00:30:08,480 --> 00:30:09,950 and I'll share a little bit more. 589 00:30:09,950 --> 00:30:12,690 And a big shout out to the University of Vermont, 590 00:30:12,690 --> 00:30:15,350 particularly the SAL Lab, 591 00:30:15,350 --> 00:30:17,700 because they were with us in the early days 592 00:30:17,700 --> 00:30:20,530 helping us to think through the STEW-MAP methodology. 593 00:30:20,530 --> 00:30:24,433 Jim Duncan was with us, of course, Jarlath O'Neil-Dunne. 594 00:30:25,460 --> 00:30:26,970 So it's taken, you know, 595 00:30:26,970 --> 00:30:31,580 it's been a labor of love and cooperation over those years. 596 00:30:31,580 --> 00:30:34,040 But now, if you fast forward to today, 597 00:30:34,040 --> 00:30:36,497 what we're able to do for natural resource managers 598 00:30:36,497 --> 00:30:38,010 and others as well 599 00:30:38,010 --> 00:30:41,110 is serve up data in these, 600 00:30:41,110 --> 00:30:43,590 what we think are handy dashboards 601 00:30:43,590 --> 00:30:46,040 so you're able to get a handle at any given moment 602 00:30:46,040 --> 00:30:50,040 of the total number of groups in your region 603 00:30:50,040 --> 00:30:53,290 but also to learn a little bit more about them 604 00:30:53,290 --> 00:30:55,620 and to ask some questions of them. 605 00:30:55,620 --> 00:30:59,550 Which groups are focusing where, on what topics? 606 00:30:59,550 --> 00:31:01,480 What's the capacity of these groups 607 00:31:01,480 --> 00:31:04,850 in terms of their staff size or their funding? 608 00:31:04,850 --> 00:31:07,870 What networks are they engaging with? 609 00:31:07,870 --> 00:31:12,180 So all sorts of information can be gleaned and called up now 610 00:31:12,180 --> 00:31:17,053 with the ability to have dashboards at the ready. 611 00:31:18,222 --> 00:31:19,820 A little bit about the methodology 612 00:31:19,820 --> 00:31:22,680 because I thought maybe this group might be interested 613 00:31:22,680 --> 00:31:26,563 being so engaged in monitoring and analysis. 614 00:31:27,550 --> 00:31:30,360 As I said, STEW-MAP derives it's data 615 00:31:30,360 --> 00:31:34,030 basically from a simple survey. 616 00:31:34,030 --> 00:31:35,880 We're approaching prototyping right now, 617 00:31:35,880 --> 00:31:37,250 something called STEW-MAP Live. 618 00:31:37,250 --> 00:31:40,490 We're going to be able to take some more available data 619 00:31:40,490 --> 00:31:42,770 and put that into the database. 620 00:31:42,770 --> 00:31:46,170 But, generally to start off a STEW-MAP 621 00:31:46,170 --> 00:31:47,558 it's really great to just start off 622 00:31:47,558 --> 00:31:50,120 with a good old fashioned survey 623 00:31:50,120 --> 00:31:52,110 with your particular community. 624 00:31:52,110 --> 00:31:55,350 And we collect data in these three buckets. 625 00:31:55,350 --> 00:32:00,330 Organizational data on staff, like I said, staff size, 626 00:32:00,330 --> 00:32:02,760 year founded, mission, budget, 627 00:32:02,760 --> 00:32:05,300 some indication of professionalization. 628 00:32:05,300 --> 00:32:10,300 We have had some studies that have told us that 629 00:32:10,630 --> 00:32:13,550 a lot of these groups are professionalizing over in time. 630 00:32:13,550 --> 00:32:15,030 Some of these groups are dying out 631 00:32:15,030 --> 00:32:17,300 and that's an area of future research. 632 00:32:17,300 --> 00:32:18,930 Sometimes we don't know why, 633 00:32:18,930 --> 00:32:21,320 that's interesting to note and important. 634 00:32:21,320 --> 00:32:25,490 But the majority are professionalizing over time. 635 00:32:25,490 --> 00:32:29,420 The second bucket of questions we focus on 636 00:32:29,420 --> 00:32:33,250 is around turf or geographic territory. 637 00:32:33,250 --> 00:32:35,250 Where do these groups actually work? 638 00:32:35,250 --> 00:32:39,040 As government managers and land managers 639 00:32:39,040 --> 00:32:40,430 we have our territories 640 00:32:41,370 --> 00:32:44,480 and areas that we work, our boundaries. 641 00:32:44,480 --> 00:32:47,770 But stewardship groups, green responders, civic groups, 642 00:32:47,770 --> 00:32:48,950 they function a little differently. 643 00:32:48,950 --> 00:32:52,160 That territory is usually the lines around 644 00:32:52,160 --> 00:32:55,210 and are drawn by different social cultural reasons. 645 00:32:55,210 --> 00:32:56,600 So we try and really map that 646 00:32:56,600 --> 00:32:59,073 and bring that to life on our maps. 647 00:33:00,230 --> 00:33:04,630 And network data who is connected to who and why and how? 648 00:33:04,630 --> 00:33:07,550 And then, from that data we were able to see 649 00:33:07,550 --> 00:33:10,250 who are the critical brokers and networkers 650 00:33:10,250 --> 00:33:11,470 and who's on the outside, 651 00:33:11,470 --> 00:33:15,050 who's disconnected or just a few connections away 652 00:33:15,050 --> 00:33:17,170 from being out of the group. 653 00:33:17,170 --> 00:33:20,270 And so, that has proved to be very useful 654 00:33:20,270 --> 00:33:22,370 in a number of different situations. 655 00:33:22,370 --> 00:33:24,850 So what you can learn from tracking 656 00:33:24,850 --> 00:33:26,550 stewardship groups in this way, like I said, 657 00:33:26,550 --> 00:33:30,040 it's who is participating and by virtue of that who is not. 658 00:33:30,040 --> 00:33:31,190 How they're participating, 659 00:33:31,190 --> 00:33:32,430 what are they doing, 660 00:33:32,430 --> 00:33:33,840 where they're doing it 661 00:33:33,840 --> 00:33:37,670 and what is their effect on natural resources 662 00:33:37,670 --> 00:33:38,880 and surrounding communities. 663 00:33:38,880 --> 00:33:40,530 And I have to give a shout out 664 00:33:40,530 --> 00:33:43,010 to Dr. Michelle Johnson with U.S. Forest Service, 665 00:33:43,010 --> 00:33:45,400 'cause she's really posed this question 666 00:33:45,400 --> 00:33:47,520 quite reflectively to us over the years 667 00:33:47,520 --> 00:33:51,530 and is really building up this area of our research. 668 00:33:51,530 --> 00:33:54,380 And so, just a few maps here. 669 00:33:54,380 --> 00:33:59,380 Once again, these are a lot of maps from New York City. 670 00:34:00,040 --> 00:34:03,490 I recognize that some of the work that you all do 671 00:34:03,490 --> 00:34:05,190 is not in city areas, 672 00:34:05,190 --> 00:34:07,793 but you'll see later we've been able to do STEW-MAP 673 00:34:07,793 --> 00:34:10,870 on the national forest and all sorts of landscapes, 674 00:34:10,870 --> 00:34:12,710 it doesn't really matter. 675 00:34:12,710 --> 00:34:14,730 But these maps are from New York City. 676 00:34:14,730 --> 00:34:16,400 And on the left you can see 677 00:34:16,400 --> 00:34:18,970 us being able to understand a little bit more 678 00:34:18,970 --> 00:34:21,330 about organizational capacity 679 00:34:21,330 --> 00:34:25,520 because capacities is uneven across the landscape. 680 00:34:25,520 --> 00:34:28,450 Not every community has a green responder 681 00:34:28,450 --> 00:34:31,280 or a network of green responders or coalitions. 682 00:34:31,280 --> 00:34:33,910 And so, it is important for us to try and understand 683 00:34:33,910 --> 00:34:37,246 and try as managers, if you will, 684 00:34:37,246 --> 00:34:38,079 and decision decision-makers 685 00:34:38,079 --> 00:34:40,570 to try and strengthen capacity in certain areas 686 00:34:40,570 --> 00:34:42,990 and build upon it and to share knowledge. 687 00:34:42,990 --> 00:34:45,430 Really, really super important. 688 00:34:45,430 --> 00:34:47,120 On the other hand on the right, 689 00:34:47,120 --> 00:34:49,730 it's another display of intensity 690 00:34:49,730 --> 00:34:51,820 and we start to see what are the areas 691 00:34:51,820 --> 00:34:55,600 that are not chock-full of stewardship groups 692 00:34:55,600 --> 00:34:57,850 and why, and what's happening. 693 00:34:57,850 --> 00:35:00,220 And also the areas that are a little bit quieter 694 00:35:00,220 --> 00:35:01,960 and what's happening there and why. 695 00:35:01,960 --> 00:35:04,140 Is that because the landscape's a little bit different 696 00:35:04,140 --> 00:35:06,350 and we don't need that many stewardship groups 697 00:35:06,350 --> 00:35:09,700 or is it because there's lack of social trust or awareness? 698 00:35:09,700 --> 00:35:10,533 We don't know. 699 00:35:10,533 --> 00:35:14,497 We often use this as a first step to kind of get in there 700 00:35:14,497 --> 00:35:18,633 and work with our collaborators to learn more. 701 00:35:19,533 --> 00:35:23,370 Stewardship groups, of course, and green responders 702 00:35:23,370 --> 00:35:28,370 work across all different types and shapes of green space. 703 00:35:29,320 --> 00:35:30,720 And this is just an example 704 00:35:30,720 --> 00:35:33,510 of kind of this small, medium large multi-site 705 00:35:33,510 --> 00:35:36,140 or corridor type work 706 00:35:36,140 --> 00:35:39,830 that we see people in groups engaging in 707 00:35:39,830 --> 00:35:42,850 as we stack these together with our larger maps. 708 00:35:42,850 --> 00:35:44,720 But, you can also dis-aggregate them 709 00:35:44,720 --> 00:35:48,220 and really hone in at the local scale. 710 00:35:48,220 --> 00:35:53,220 We also find that stewardship groups are agents of change. 711 00:35:54,340 --> 00:35:57,330 And as I said, one of the key questions 712 00:35:57,330 --> 00:36:00,550 that we're into these days are like the so what question. 713 00:36:00,550 --> 00:36:04,020 So what's the outcome, if you will, of all this work 714 00:36:04,020 --> 00:36:06,080 both on the physical environment 715 00:36:06,080 --> 00:36:08,360 but also on the social environment? 716 00:36:08,360 --> 00:36:12,970 And so, the darker colors here in both of these maps 717 00:36:12,970 --> 00:36:17,970 indicate where groups have said that they are doing the most 718 00:36:18,010 --> 00:36:20,840 or having the most impact, if you will. 719 00:36:20,840 --> 00:36:24,340 On the left on air, water quality, and land protection. 720 00:36:24,340 --> 00:36:27,180 And on the right, this is where groups 721 00:36:27,180 --> 00:36:29,260 feel like they're having the most impact 722 00:36:29,260 --> 00:36:32,220 in terms of strengthening social trust, 723 00:36:32,220 --> 00:36:36,743 engaging in chair decision-making and civic engagement. 724 00:36:38,250 --> 00:36:41,453 Here's another set of maps that are kind of fun. 725 00:36:41,453 --> 00:36:45,370 And there's no end to how you can use this data 726 00:36:45,370 --> 00:36:47,440 in combination with other data 727 00:36:47,440 --> 00:36:50,180 or these data with other data. 728 00:36:50,180 --> 00:36:52,900 And on the left is essentially 729 00:36:52,900 --> 00:36:56,620 a map of environmental stewardship groups 730 00:36:56,620 --> 00:36:58,530 and where they are working to address 731 00:36:58,530 --> 00:37:00,517 specifically issues around climate change. 732 00:37:00,517 --> 00:37:02,930 And we're able to call that map up 733 00:37:02,930 --> 00:37:05,090 again, it's not a finite map. 734 00:37:05,090 --> 00:37:07,240 You know groups are dynamic. 735 00:37:07,240 --> 00:37:08,650 There was probably a group formed 736 00:37:08,650 --> 00:37:11,360 while I've been talking this morning. 737 00:37:11,360 --> 00:37:13,540 They're a little bit dynamic and they change. 738 00:37:13,540 --> 00:37:16,050 But it's a really great point of wayfinding. 739 00:37:16,050 --> 00:37:16,900 At the same time, 740 00:37:16,900 --> 00:37:18,700 we really find that groups are abiding 741 00:37:18,700 --> 00:37:22,700 and that groups do stick with things for years. 742 00:37:22,700 --> 00:37:26,250 And that's very important as well. 743 00:37:26,250 --> 00:37:28,130 But in this particular case on the left, 744 00:37:28,130 --> 00:37:30,490 we start to see that groups, no surprise, 745 00:37:30,490 --> 00:37:34,060 are hugging the coastline of New York City 746 00:37:34,060 --> 00:37:36,920 mainly due to issues around sea level rise. 747 00:37:36,920 --> 00:37:41,050 But not only, and we see some upland, if you will, clusters. 748 00:37:41,050 --> 00:37:42,950 And we see also groups really responding 749 00:37:42,950 --> 00:37:46,010 to heat in New York City as well. 750 00:37:46,010 --> 00:37:48,597 On the right is housing affordability. 751 00:37:48,597 --> 00:37:50,610 And what the heck does environmental stewardship 752 00:37:50,610 --> 00:37:52,520 have to do with housing affordability? 753 00:37:52,520 --> 00:37:55,420 Well, as neighborhoods change which is a disturbance, 754 00:37:55,420 --> 00:38:00,420 gentrification is a disturbance to many 755 00:38:00,790 --> 00:38:04,040 we're finding that stewardship groups have reported that 756 00:38:04,040 --> 00:38:07,220 they participate in stabilizing communities 757 00:38:08,534 --> 00:38:12,760 and helping groups and their neighbors 758 00:38:12,760 --> 00:38:15,560 navigate that kind of a change 759 00:38:15,560 --> 00:38:19,745 in terms of helping to retain a sense of place 760 00:38:19,745 --> 00:38:22,200 and foster place attachment 761 00:38:22,200 --> 00:38:26,500 which is an interesting take on how we can span 762 00:38:26,500 --> 00:38:28,653 and work together with other sectors. 763 00:38:29,940 --> 00:38:32,363 Stewards do not work alone this is just, 764 00:38:33,910 --> 00:38:36,870 I think I just have one network map up for you all. 765 00:38:36,870 --> 00:38:39,320 But there's so much that could be explored here, 766 00:38:39,320 --> 00:38:41,220 it's a topic unto its own. 767 00:38:41,220 --> 00:38:43,300 But here's one of our network diagrams 768 00:38:43,300 --> 00:38:47,550 and there's blue circles, yellow circles, green and orange. 769 00:38:47,550 --> 00:38:52,550 And they all indicate government groups, school groups, 770 00:38:52,550 --> 00:38:54,510 business groups, and then civic groups 771 00:38:54,510 --> 00:38:56,730 and how they're interacting with each other. 772 00:38:56,730 --> 00:38:59,190 This is a stewardship network from New York City. 773 00:38:59,190 --> 00:39:00,397 You'll see there's a central node 774 00:39:00,397 --> 00:39:01,810 and New York City Parks 775 00:39:01,810 --> 00:39:04,080 as being one of the core government groups. 776 00:39:04,080 --> 00:39:07,810 Not surprising but really important, I think, 777 00:39:07,810 --> 00:39:10,390 for the Parks Department to be able to own that space 778 00:39:10,390 --> 00:39:14,460 and to understand it and why they are there 779 00:39:14,460 --> 00:39:17,590 performing that central function for a lot of groups. 780 00:39:17,590 --> 00:39:19,510 And then you see some outliers. 781 00:39:19,510 --> 00:39:22,410 And we've done some sort of, in the past, 782 00:39:22,410 --> 00:39:24,010 interviews with those outlier groups 783 00:39:24,010 --> 00:39:26,690 and learn that some of these groups are the innovators. 784 00:39:26,690 --> 00:39:27,880 They're really special. 785 00:39:27,880 --> 00:39:30,930 But they're just, for a variety of reasons, 786 00:39:30,930 --> 00:39:32,040 outside the network. 787 00:39:32,040 --> 00:39:34,150 And so, here's a map where you might 788 00:39:34,150 --> 00:39:37,220 just tactically wanna bring those groups in. 789 00:39:37,220 --> 00:39:39,833 And so, we can learn a lot when we look at, 790 00:39:40,690 --> 00:39:42,860 you know, information in this way. 791 00:39:42,860 --> 00:39:45,640 Again, trying to do this with the same precision 792 00:39:45,640 --> 00:39:48,460 that most people take to enforce inventory analysis 793 00:39:48,460 --> 00:39:53,060 but trying to understand social capacity 794 00:39:53,060 --> 00:39:55,710 and why and how groups are linked together 795 00:39:55,710 --> 00:39:59,043 in a more of a polycentric and less hierarchical way. 796 00:40:00,470 --> 00:40:01,303 Just to close out, 797 00:40:01,303 --> 00:40:05,630 I still wanted to share a few vignettes from how the data, 798 00:40:05,630 --> 00:40:07,500 how we put STEW-MAP data 799 00:40:07,500 --> 00:40:10,990 or how others have put STEW-MAP data in action 800 00:40:10,990 --> 00:40:12,933 with policy and planning. 801 00:40:15,251 --> 00:40:20,251 And we've done this with groups, as I mentioned, 802 00:40:20,620 --> 00:40:22,280 in many parts of the world. 803 00:40:22,280 --> 00:40:24,060 And this is an eclectic 804 00:40:24,060 --> 00:40:27,700 but I am very proud of this group of locations. 805 00:40:27,700 --> 00:40:29,010 And you would look at it and say, 806 00:40:29,010 --> 00:40:33,697 gosh, why this group of places? 807 00:40:36,030 --> 00:40:37,870 What's the common denominator here? 808 00:40:37,870 --> 00:40:40,020 And I'll tell you, it's disturbance. 809 00:40:40,020 --> 00:40:44,660 It is the folks that we work with in many of these places 810 00:40:44,660 --> 00:40:46,450 have become interested 811 00:40:46,450 --> 00:40:49,240 in doing this kind of mapping more precisely 812 00:40:49,240 --> 00:40:53,670 because they recognize the critical role of partnerships, 813 00:40:53,670 --> 00:40:57,820 collaboration of really engaging in mapping 814 00:40:57,820 --> 00:41:00,840 and tracking their social infrastructure 815 00:41:00,840 --> 00:41:03,800 in response and in preparation for disturbance. 816 00:41:03,800 --> 00:41:06,310 That's the common thing that brings us all together. 817 00:41:06,310 --> 00:41:08,420 Now, when we do this work in different locations, 818 00:41:08,420 --> 00:41:10,670 like I said, we always learn something a little different. 819 00:41:10,670 --> 00:41:11,950 No place, no river, 820 00:41:11,950 --> 00:41:13,850 you never step in the same river twice 821 00:41:13,850 --> 00:41:15,733 as the old saying goes. 822 00:41:15,733 --> 00:41:18,840 And so, it really is a wonderful community of practice. 823 00:41:18,840 --> 00:41:21,830 And we invite any of you into it as well, 824 00:41:21,830 --> 00:41:22,893 if you're interested. 825 00:41:23,910 --> 00:41:27,180 So back to a little bit of STEW-MAP in action. 826 00:41:27,180 --> 00:41:29,600 So, ah, sorry about that one. 827 00:41:29,600 --> 00:41:32,803 In New York City, more recently, 828 00:41:34,180 --> 00:41:37,680 managers there have used the STEW-MAP data 829 00:41:39,460 --> 00:41:43,640 to get a little bit deeper into the unknowns. 830 00:41:43,640 --> 00:41:46,200 Like meaning, they know a lot of the coalition groups. 831 00:41:46,200 --> 00:41:48,940 It is a very vibrant environmental stewardship network 832 00:41:48,940 --> 00:41:51,560 but there's a lot of groups that aren't in the network. 833 00:41:51,560 --> 00:41:56,560 And there's also some, you know, there's some fighting, 834 00:41:56,620 --> 00:42:00,920 there's some issues that are controversial. 835 00:42:00,920 --> 00:42:05,400 And the STEW-MAP data approach has enabled them 836 00:42:05,400 --> 00:42:08,120 to see other like-minded groups that are out there 837 00:42:08,120 --> 00:42:10,590 that might not be from the environmental field 838 00:42:10,590 --> 00:42:12,040 but are very much aligned 839 00:42:12,040 --> 00:42:14,480 in what those environmental stewards are doing. 840 00:42:14,480 --> 00:42:17,570 So it's helped build social cohesion 841 00:42:17,570 --> 00:42:19,850 as New York City and other places, 842 00:42:19,850 --> 00:42:22,100 but New York City in this case, 843 00:42:22,100 --> 00:42:26,560 begins and is adapting to a changing climate. 844 00:42:26,560 --> 00:42:29,853 In, sorry about all that, trigger finger there. 845 00:42:31,180 --> 00:42:32,750 In Baltimore, 846 00:42:32,750 --> 00:42:36,540 I liked the way that they have used their STEW-MAP data 847 00:42:36,540 --> 00:42:38,750 and they're doing even more right now 848 00:42:38,750 --> 00:42:39,970 with their network data. 849 00:42:39,970 --> 00:42:42,520 Super excited for that to come out soon. 850 00:42:42,520 --> 00:42:45,290 But they initially used their data 851 00:42:45,290 --> 00:42:48,010 to leverage more effective funding. 852 00:42:48,010 --> 00:42:52,760 They didn't have exactly the same kind of coalition network 853 00:42:52,760 --> 00:42:55,820 that other places had at the time. 854 00:42:55,820 --> 00:42:58,310 And this really got the attention of funders 855 00:42:58,310 --> 00:43:01,110 to support environmental coordinators 856 00:43:01,110 --> 00:43:03,040 and coalition builders. 857 00:43:03,040 --> 00:43:07,713 And really, I think, was a great win for them. 858 00:43:09,290 --> 00:43:12,050 On Hawaii Island as well as O'ahu, 859 00:43:12,050 --> 00:43:16,620 there are two STEW-MAPs in very different settings. 860 00:43:16,620 --> 00:43:21,620 And these researchers and their community cooperators 861 00:43:23,140 --> 00:43:27,490 just did an amazing job of taking their existing knowledge 862 00:43:27,490 --> 00:43:29,320 and expanding it out 863 00:43:29,320 --> 00:43:33,700 and actually using the whole process of a survey 864 00:43:33,700 --> 00:43:35,770 not trying to just get the results 865 00:43:35,770 --> 00:43:38,130 but using the process of building that survey, 866 00:43:38,130 --> 00:43:41,690 the population sample, of having meetings and dialogues 867 00:43:41,690 --> 00:43:46,690 to really expand and kind of grow and their own mission 868 00:43:46,710 --> 00:43:48,730 and united with other groups. 869 00:43:48,730 --> 00:43:50,440 And it's really, 870 00:43:50,440 --> 00:43:54,420 we've learned a lot from what they've done there. 871 00:43:54,420 --> 00:43:58,530 And I did mention that you can do STEW-MAP anywhere really. 872 00:43:58,530 --> 00:44:00,700 And most recently we've learned a ton 873 00:44:00,700 --> 00:44:02,570 from a workout in western Wyoming 874 00:44:02,570 --> 00:44:05,580 with the Bridger-Teton National Forest. 875 00:44:05,580 --> 00:44:08,660 They have a great team out there that found us 876 00:44:08,660 --> 00:44:12,290 and we collaborated on a STEW-MAP project 877 00:44:12,290 --> 00:44:15,360 and they did just such an amazing job. 878 00:44:15,360 --> 00:44:17,900 And we learned a lot about, you know, 879 00:44:17,900 --> 00:44:20,950 oftentimes we think about these groups as sources of labor, 880 00:44:20,950 --> 00:44:25,040 people to come in and do work that we identify. 881 00:44:25,040 --> 00:44:28,560 But they're really growing their partnership base 882 00:44:28,560 --> 00:44:31,260 and seeing their collaborators now 883 00:44:31,260 --> 00:44:35,710 as co-producers of ecological knowledge and understanding. 884 00:44:35,710 --> 00:44:38,040 And that I can't wait. 885 00:44:38,040 --> 00:44:41,540 There's more reporting coming out on that project 886 00:44:41,540 --> 00:44:43,070 in the beginning of the new year 887 00:44:43,070 --> 00:44:45,770 and I'm really looking forward to that. 888 00:44:45,770 --> 00:44:47,623 So some reflections. 889 00:44:49,270 --> 00:44:51,900 Green responders, civic stewards. 890 00:44:51,900 --> 00:44:55,290 Okay, they're out there, they're here, 891 00:44:55,290 --> 00:44:56,450 they're in your community, 892 00:44:56,450 --> 00:44:58,270 but how do we harness them? 893 00:44:58,270 --> 00:45:00,120 How do we strengthen them? 894 00:45:00,120 --> 00:45:02,843 How do we cultivate some new potential? 895 00:45:03,820 --> 00:45:07,230 How do we think of this work as a social innovation? 896 00:45:07,230 --> 00:45:11,010 Oftentimes we think about the technology, 897 00:45:11,010 --> 00:45:15,160 what we can build, what we can design as an innovation. 898 00:45:15,160 --> 00:45:18,860 But the way we organize ourselves is an innovation 899 00:45:18,860 --> 00:45:20,560 and a very powerful one. 900 00:45:20,560 --> 00:45:23,810 So how do we foster new forms of collaboration, 901 00:45:23,810 --> 00:45:25,903 trans-boundary work and governance. 902 00:45:26,850 --> 00:45:30,520 And this need for flexible or unprogrammed space, 903 00:45:30,520 --> 00:45:32,600 I go back to the Living Memorial Projects, 904 00:45:32,600 --> 00:45:34,790 to the work with the community gardens, 905 00:45:34,790 --> 00:45:37,840 the work after Hurricane Sandy, 906 00:45:37,840 --> 00:45:41,330 how do we create places of social meaning in our landscape? 907 00:45:41,330 --> 00:45:43,770 And that changes as communities change, 908 00:45:43,770 --> 00:45:45,780 as we change from time to time. 909 00:45:45,780 --> 00:45:49,120 And so, how do we use our forested communities, 910 00:45:49,120 --> 00:45:52,890 our street corner garden as a place for social meaning 911 00:45:52,890 --> 00:45:55,303 so that we can help sustain that love. 912 00:45:56,210 --> 00:45:59,000 And finally, nature is a restorative mechanism. 913 00:45:59,000 --> 00:46:00,910 How do we envision nature, 914 00:46:00,910 --> 00:46:05,510 not just as a buffer but as a platform, if you will, 915 00:46:05,510 --> 00:46:10,510 for supporting human wellbeing, for recovery, 916 00:46:10,770 --> 00:46:13,700 and the co-creation of those ecosystem services 917 00:46:13,700 --> 00:46:16,163 that we value so very much. 918 00:46:17,750 --> 00:46:19,960 And last, a hearty thank you 919 00:46:19,960 --> 00:46:23,320 if you've hung in with me all this time in this Zoom room. 920 00:46:23,320 --> 00:46:26,143 Again, I do wish this was in person one day. 921 00:46:27,340 --> 00:46:29,650 But I wanted to put up a couple of resources. 922 00:46:29,650 --> 00:46:33,900 One is a recent collection of short reflections 923 00:46:36,170 --> 00:46:38,130 on "Green Readiness Response and Recovery" 924 00:46:38,130 --> 00:46:41,570 from other, my colleagues and other federal agencies 925 00:46:41,570 --> 00:46:44,250 including FEMA and EPA and the Forest Service 926 00:46:44,250 --> 00:46:47,110 but also our NGO partners. 927 00:46:47,110 --> 00:46:48,510 We did this a few years ago, 928 00:46:48,510 --> 00:46:51,660 and I think it really still stands up on its own, 929 00:46:51,660 --> 00:46:54,100 you can find it on the web. 930 00:46:54,100 --> 00:46:56,080 STEW-MAP website, you can dig in there 931 00:46:56,080 --> 00:46:57,470 you can see those dashboards. 932 00:46:57,470 --> 00:46:59,090 We have some interactive maps up. 933 00:46:59,090 --> 00:47:03,060 We also have a link to an exhibition 934 00:47:03,060 --> 00:47:06,210 that I think is about New York, who takes care of New York, 935 00:47:06,210 --> 00:47:09,460 but really pushed us to use the STEW-MAP data 936 00:47:09,460 --> 00:47:11,750 in a very integrated way. 937 00:47:11,750 --> 00:47:13,600 So, I just wanted to highlight that. 938 00:47:13,600 --> 00:47:15,860 And if you have any questions 939 00:47:15,860 --> 00:47:19,720 or want to just chat more about any of the things I've said, 940 00:47:19,720 --> 00:47:24,260 contact me, of course, Lindsay Campbell or Michelle Johnson. 941 00:47:24,260 --> 00:47:26,263 We'd be delighted to talk with you. 942 00:47:27,660 --> 00:47:31,813 And with that, I hope I kept to the time. 943 00:47:32,748 --> 00:47:35,963 I'm gonna stop sharing my screen. 944 00:47:37,120 --> 00:47:40,880 And perhaps if there's any questions, 945 00:47:40,880 --> 00:47:44,420 something I can clarify, something we can discuss 946 00:47:44,420 --> 00:47:47,203 I'm happy to engage. 947 00:47:48,510 --> 00:47:49,350 - Thank you, Erika. 948 00:47:49,350 --> 00:47:50,710 That was wonderful. 949 00:47:50,710 --> 00:47:52,490 We do have a good amount of time 950 00:47:52,490 --> 00:47:54,100 for questions and discussion. 951 00:47:54,100 --> 00:47:56,860 I invite anyone who's here to share a question. 952 00:47:56,860 --> 00:47:59,870 You can use the Q and A box on Zoom 953 00:47:59,870 --> 00:48:01,620 or you're welcome to type it into the chat 954 00:48:01,620 --> 00:48:03,190 or raise your hand. 955 00:48:03,190 --> 00:48:05,060 We do have a couple of questions 956 00:48:05,060 --> 00:48:06,790 already queued up for you here. 957 00:48:06,790 --> 00:48:09,400 So I'm gonna kick one to you right now. 958 00:48:09,400 --> 00:48:10,867 This is from Alan Burley. 959 00:48:10,867 --> 00:48:12,330 "Hi, Erika, wonderful talk. 960 00:48:12,330 --> 00:48:14,840 I'm curious if you could explain a little further 961 00:48:14,840 --> 00:48:16,610 about what you mean when you say 962 00:48:16,610 --> 00:48:18,850 many of the groups are professionalizing. 963 00:48:18,850 --> 00:48:20,330 I'm sure that means different things 964 00:48:20,330 --> 00:48:22,230 for various organizations. 965 00:48:22,230 --> 00:48:23,720 But generally are you referring 966 00:48:23,720 --> 00:48:26,660 to seeking non-profit status, hiring more professionals, 967 00:48:26,660 --> 00:48:29,100 expanding funding sources, et cetera?" 968 00:48:29,100 --> 00:48:32,030 - You know, that's a great question. 969 00:48:32,030 --> 00:48:33,633 A couple of years back now, 970 00:48:35,010 --> 00:48:38,730 we published a piece on environmental professionalization 971 00:48:38,730 --> 00:48:41,000 using the STEW-MAP data from New York City. 972 00:48:41,000 --> 00:48:45,460 And we created a professionalism professionalization index. 973 00:48:45,460 --> 00:48:49,363 And in it we included nonprofit status, that's right, 974 00:48:50,750 --> 00:48:53,170 funding, and number of staff. 975 00:48:53,170 --> 00:48:55,380 And that's one way to go. 976 00:48:55,380 --> 00:48:56,430 It's not the only way. 977 00:48:56,430 --> 00:49:01,410 But we've noticed that there's other roles 978 00:49:01,410 --> 00:49:03,600 that environmental groups will start to take on 979 00:49:03,600 --> 00:49:07,140 in terms of decision-making and being seated at the table. 980 00:49:07,140 --> 00:49:10,260 So, we wanna get back to that index 981 00:49:10,260 --> 00:49:11,700 and refine it a bit more. 982 00:49:11,700 --> 00:49:15,860 But the shorthand that we were using 983 00:49:15,860 --> 00:49:18,780 for many years around professionalization would be 984 00:49:18,780 --> 00:49:22,620 if a group was filing for official non-profit status, 985 00:49:22,620 --> 00:49:25,593 if they had a certain level of income and staff. 986 00:49:26,600 --> 00:49:29,752 But there's a crude measure in some ways. 987 00:49:29,752 --> 00:49:33,480 And it's also about staying power. 988 00:49:33,480 --> 00:49:35,520 You know, how long the group has been around, 989 00:49:35,520 --> 00:49:37,920 the amount of knowledge too. 990 00:49:37,920 --> 00:49:39,850 You know, there's many groups that are unincorporated 991 00:49:39,850 --> 00:49:41,230 but are very knowledgeable. 992 00:49:41,230 --> 00:49:43,660 There's many groups that have a limited staff 993 00:49:43,660 --> 00:49:45,770 but are very powerful and engaging. 994 00:49:45,770 --> 00:49:48,360 So that's why we're looking 995 00:49:48,360 --> 00:49:53,360 to revise a little bit of that thinking and that index. 996 00:49:53,800 --> 00:49:57,623 And lately we've been interested in capacity. 997 00:49:58,620 --> 00:50:03,620 Really inspired by sociologists, Robert Sampson's work 998 00:50:03,630 --> 00:50:08,040 around capacity in Chicago 999 00:50:08,040 --> 00:50:11,060 and noting that social civic organizations 1000 00:50:11,060 --> 00:50:12,820 are uneven across the landscape. 1001 00:50:12,820 --> 00:50:15,120 Eric Klinenberg, you know, 1002 00:50:15,120 --> 00:50:17,920 with his initial book "Heat Wave". 1003 00:50:17,920 --> 00:50:20,360 I mean, these are things that we know. 1004 00:50:20,360 --> 00:50:24,380 And so, we're interested in taking stewardship groups 1005 00:50:24,380 --> 00:50:26,810 and looking a little bit 1006 00:50:26,810 --> 00:50:28,560 through lens of professionalization 1007 00:50:28,560 --> 00:50:31,030 but also looking maybe more pointedly, 1008 00:50:31,030 --> 00:50:32,980 do certain neighborhoods or certain places 1009 00:50:32,980 --> 00:50:34,720 have more civic capacity, 1010 00:50:34,720 --> 00:50:37,860 civic stewardship capacity than others and why? 1011 00:50:37,860 --> 00:50:42,593 And trying to understand what is capacity. 1012 00:50:43,520 --> 00:50:48,520 Often it is the ability to show up persistently, 1013 00:50:48,670 --> 00:50:52,770 to engage, to be part of those networks. 1014 00:50:52,770 --> 00:50:57,770 So it's a great question that I think we have to explore 1015 00:50:57,960 --> 00:50:59,583 and should explore a bit more. 1016 00:51:00,500 --> 00:51:02,000 - Great. Thank you. 1017 00:51:02,000 --> 00:51:04,637 The next one is from Aanuka McGurk. 1018 00:51:04,637 --> 00:51:06,770 "Who can use this data? 1019 00:51:06,770 --> 00:51:09,180 I see so many possible applications in enhancing 1020 00:51:09,180 --> 00:51:11,980 local conservation district work and their partnership." 1021 00:51:13,390 --> 00:51:15,770 - Well, these data have been used 1022 00:51:15,770 --> 00:51:18,130 by many different types of groups. 1023 00:51:18,130 --> 00:51:20,650 I would think most, 1024 00:51:20,650 --> 00:51:23,160 if we're just talking about the STEW-MAP, for example, 1025 00:51:23,160 --> 00:51:26,340 which is group level data, you know, you have to be... 1026 00:51:27,220 --> 00:51:30,840 I think, we define group is like two or three people 1027 00:51:32,460 --> 00:51:34,560 or multi-million dollar 1028 00:51:34,560 --> 00:51:38,343 non-profit nature conservancy, for example. 1029 00:51:39,590 --> 00:51:43,780 So, who uses STEW-MAP data 1030 00:51:43,780 --> 00:51:47,423 is often decision makers and planners. 1031 00:51:48,490 --> 00:51:51,230 Often, if someone has a project in a certain community. 1032 00:51:51,230 --> 00:51:53,180 Well, who are those groups I can start with 1033 00:51:53,180 --> 00:51:55,500 and get my message out to? 1034 00:51:55,500 --> 00:51:58,900 More and more folks are using them as, you know, 1035 00:51:58,900 --> 00:52:00,920 who holds the knowledge in a particular area? 1036 00:52:00,920 --> 00:52:03,720 Let me asses that, who's there doing what 1037 00:52:03,720 --> 00:52:05,220 and how can I learn from them? 1038 00:52:06,710 --> 00:52:09,810 And so, it's usually the decision makers, planners 1039 00:52:09,810 --> 00:52:14,313 who have a project that start to use STEW-MAP data. 1040 00:52:17,820 --> 00:52:20,210 And we just actually wrote up a report 1041 00:52:20,210 --> 00:52:24,360 'cause we had some good work on this past summer. 1042 00:52:24,360 --> 00:52:27,610 You know, interviewing some of our data providers 1043 00:52:27,610 --> 00:52:30,350 and seeing how they're using STEW-MAP. 1044 00:52:30,350 --> 00:52:32,550 Another way people are using it 1045 00:52:32,550 --> 00:52:35,410 to network with other groups. 1046 00:52:35,410 --> 00:52:38,383 Particularly when you get into like dense communities, 1047 00:52:39,640 --> 00:52:40,730 sometimes people don't know 1048 00:52:40,730 --> 00:52:42,500 if there's somebody right next door. 1049 00:52:42,500 --> 00:52:46,190 So, other groups have used it to find other groups. 1050 00:52:46,190 --> 00:52:47,173 That's another way. 1051 00:52:48,330 --> 00:52:51,940 Landscape designers or development folks 1052 00:52:51,940 --> 00:52:54,060 have used STEW-MAP before 1053 00:52:54,060 --> 00:52:57,850 to engage in their private sector projects. 1054 00:52:57,850 --> 00:53:00,100 Academics have certainly used STEW-MAP 1055 00:53:00,100 --> 00:53:05,100 to answer a lot of questions around not just capacity, 1056 00:53:05,550 --> 00:53:09,203 but governance, social motivations. 1057 00:53:12,130 --> 00:53:15,640 Yeah, so it's been used by a number of different people 1058 00:53:15,640 --> 00:53:18,900 but primarily academics, decision-makers, 1059 00:53:18,900 --> 00:53:20,463 and the groups themselves. 1060 00:53:22,050 --> 00:53:22,950 Yeah. 1061 00:53:22,950 --> 00:53:25,490 - Thank you, maybe I'll just pose a follow-up. 1062 00:53:25,490 --> 00:53:26,623 STEW-MAP does have, 1063 00:53:27,527 --> 00:53:29,680 there is a high barrier to entry to kind of developing 1064 00:53:29,680 --> 00:53:32,133 that initial baseline network of information. 1065 00:53:33,190 --> 00:53:37,590 Have you seen any groups using some like a STEW-MAP light 1066 00:53:37,590 --> 00:53:39,810 that they can kind of bring to their own communities 1067 00:53:39,810 --> 00:53:42,310 without going through the full process? 1068 00:53:42,310 --> 00:53:43,143 - Definitely. 1069 00:53:43,143 --> 00:53:45,710 In fact, in that community of practice slide, 1070 00:53:45,710 --> 00:53:50,170 the one where I had a number of different locations up 1071 00:53:50,170 --> 00:53:52,780 our colleagues in Puerto Princesa 1072 00:53:52,780 --> 00:53:54,823 in the Philippines, for example, 1073 00:53:55,830 --> 00:53:59,130 we're kind of just inspired by the project 1074 00:53:59,130 --> 00:54:03,180 and started their own way of just cataloging 1075 00:54:03,180 --> 00:54:05,140 and documenting who's out there 1076 00:54:05,140 --> 00:54:08,430 across their city in that region. 1077 00:54:08,430 --> 00:54:12,500 And then they had kind of a stewardship award ceremony 1078 00:54:12,500 --> 00:54:13,990 and they develop programming 1079 00:54:13,990 --> 00:54:16,430 to just basically strengthen the stewards. 1080 00:54:16,430 --> 00:54:18,710 And so, it was a very kind of just 1081 00:54:18,710 --> 00:54:21,270 basics STEW-MAP light, as you say, Jim, 1082 00:54:21,270 --> 00:54:24,380 and they didn't go forward with a full survey 1083 00:54:24,380 --> 00:54:26,470 that they're sending out or monitoring. 1084 00:54:26,470 --> 00:54:29,530 It was more of like, everyone bringing out your cell phone, 1085 00:54:29,530 --> 00:54:30,880 who's in it, who do you know, 1086 00:54:30,880 --> 00:54:33,940 and let's get them all to this meeting and build from there. 1087 00:54:33,940 --> 00:54:37,030 So, you know, we count that as a win often. 1088 00:54:37,030 --> 00:54:40,367 If people are just, you know, acknowledging that 1089 00:54:42,224 --> 00:54:44,930 they need to track and monitor the natural resources 1090 00:54:44,930 --> 00:54:49,390 but also pay attention to the cultivation and care 1091 00:54:49,390 --> 00:54:52,333 of their social networks and organizations. 1092 00:54:53,410 --> 00:54:56,290 So there's just different ways to do this. 1093 00:54:56,290 --> 00:54:57,910 I did mention STEW-MAP Live 1094 00:54:57,910 --> 00:55:00,140 and so stay tuned next year 1095 00:55:00,140 --> 00:55:03,241 because we are like actively working on it. 1096 00:55:03,241 --> 00:55:05,620 I think, Jim, you especially would appreciate this. 1097 00:55:05,620 --> 00:55:07,610 They were trying to lower that bar 1098 00:55:07,610 --> 00:55:12,210 by just starting out with some data that you can just take 1099 00:55:12,210 --> 00:55:17,210 already from the state department, you know, your 990 Forms. 1100 00:55:17,580 --> 00:55:19,780 The NGOs that exist in any given state, 1101 00:55:19,780 --> 00:55:23,230 you can do kind of a quick statewide view 1102 00:55:23,230 --> 00:55:25,050 of who's out there doing what 1103 00:55:25,050 --> 00:55:29,260 and start to kind of map it out a bit and then add to it. 1104 00:55:29,260 --> 00:55:31,410 So, we're working on it. 1105 00:55:31,410 --> 00:55:34,640 We also have, if you go to the STEW-MAP website, 1106 00:55:34,640 --> 00:55:37,110 there's also a number of how-to guides 1107 00:55:37,110 --> 00:55:38,920 that we've refined over the years 1108 00:55:38,920 --> 00:55:41,740 and we've automated some of the database features. 1109 00:55:41,740 --> 00:55:44,870 So if you are gonna do a survey, 1110 00:55:44,870 --> 00:55:47,190 we've made it a little easier for you. 1111 00:55:47,190 --> 00:55:49,020 I wouldn't say it's completely plug and play, 1112 00:55:49,020 --> 00:55:51,963 but it's a lot easier than it was 10 years ago. 1113 00:55:54,310 --> 00:55:56,190 - That's great to hear so many different avenues 1114 00:55:56,190 --> 00:55:59,070 already coming up and being in development. 1115 00:55:59,070 --> 00:56:02,057 Our next question comes from Amanda Mahaffey, she says, 1116 00:56:02,057 --> 00:56:04,670 "Thank you so much for this mind opening presentation. 1117 00:56:04,670 --> 00:56:06,600 Many of us in the FEMC network 1118 00:56:06,600 --> 00:56:08,890 work in natural forest ecosystems. 1119 00:56:08,890 --> 00:56:10,460 How much do you see tools like STEW-MAP 1120 00:56:10,460 --> 00:56:12,320 playing a role in advancing our work 1121 00:56:12,320 --> 00:56:14,730 where the spatial scale of human tree interaction 1122 00:56:14,730 --> 00:56:17,970 is very different from the urban forest environment?" 1123 00:56:17,970 --> 00:56:19,410 - Absolutely. Absolutely. 1124 00:56:19,410 --> 00:56:21,920 I appreciate that question so very much. 1125 00:56:21,920 --> 00:56:25,900 And because we asked that question to ourselves, 1126 00:56:25,900 --> 00:56:30,330 and that's why we collaborated with 1127 00:56:30,330 --> 00:56:34,020 the Bridger-Teton National Forest initially. 1128 00:56:34,020 --> 00:56:39,020 And they came to us wanting to get a better sense 1129 00:56:39,330 --> 00:56:40,973 of who their partners are. 1130 00:56:42,027 --> 00:56:45,790 And knowing in Western Wyoming 1131 00:56:45,790 --> 00:56:47,560 there are clearly less people there 1132 00:56:47,560 --> 00:56:49,240 than there are in New York City, 1133 00:56:49,240 --> 00:56:50,840 what could they learn from the STEW-MAP? 1134 00:56:50,840 --> 00:56:52,430 Well, we learned a couple things. 1135 00:56:52,430 --> 00:56:56,187 One is in the forest service, in particular, 1136 00:56:56,187 --> 00:56:58,230 you know, there is turnover. 1137 00:56:58,230 --> 00:57:01,420 And the person who holds in their mind, 1138 00:57:01,420 --> 00:57:02,810 even for a few years, 1139 00:57:02,810 --> 00:57:07,090 who all the partners are and those relationship moves on. 1140 00:57:07,090 --> 00:57:09,883 And so, they take with it that information. 1141 00:57:10,980 --> 00:57:15,770 And so, again, going back to the whole analogy with FIA, 1142 00:57:15,770 --> 00:57:18,860 we wanted to create a database of information 1143 00:57:18,860 --> 00:57:21,680 so that information would not be lost, 1144 00:57:21,680 --> 00:57:23,740 that knowledge would not be lost, those connections, 1145 00:57:23,740 --> 00:57:26,083 and it could be passed on to the next person. 1146 00:57:27,140 --> 00:57:30,120 We've also found that the larger the region, 1147 00:57:30,120 --> 00:57:32,290 even the less populated, 1148 00:57:32,290 --> 00:57:37,290 there's no lack of intensity of issues. 1149 00:57:37,850 --> 00:57:41,170 And that in fact, there are many actors that are out there 1150 00:57:41,170 --> 00:57:44,110 that, for example, the Bridger folks 1151 00:57:44,110 --> 00:57:46,420 did not realize was in their network. 1152 00:57:46,420 --> 00:57:48,590 And when they start to cross boundaries 1153 00:57:48,590 --> 00:57:52,010 into the national park service or BLM lands, 1154 00:57:52,010 --> 00:57:53,980 they can now grow this a little wider 1155 00:57:53,980 --> 00:57:55,720 and they're getting an enormous, 1156 00:57:55,720 --> 00:57:58,323 that their network maps are very, very interesting. 1157 00:57:59,775 --> 00:58:04,070 And so you can go deeper 1158 00:58:04,070 --> 00:58:07,930 and do different things in different landscapes. 1159 00:58:07,930 --> 00:58:10,270 It took them less time to do the work, I'll say that, 1160 00:58:10,270 --> 00:58:11,770 that was a good thing. 1161 00:58:11,770 --> 00:58:13,150 But they also did something 1162 00:58:13,150 --> 00:58:16,970 which we're now carrying full forth into future projects 1163 00:58:16,970 --> 00:58:20,450 which is they interviewed their own staff first. 1164 00:58:20,450 --> 00:58:25,450 So they said, who in the national forest at Bridger, 1165 00:58:25,790 --> 00:58:27,200 the staff there, 1166 00:58:27,200 --> 00:58:30,460 they asked all their staff who they work with. 1167 00:58:30,460 --> 00:58:31,940 and they found some overlap 1168 00:58:31,940 --> 00:58:34,450 but they also found some groups of people 1169 00:58:34,450 --> 00:58:36,900 that are only working with, you know, certain groups. 1170 00:58:36,900 --> 00:58:37,733 And so they were able, 1171 00:58:37,733 --> 00:58:40,200 that itself was a great aha moment. 1172 00:58:40,200 --> 00:58:42,150 Then they surveyed that sample 1173 00:58:42,150 --> 00:58:44,790 and now they're building more onto it. 1174 00:58:44,790 --> 00:58:45,623 So you can see, 1175 00:58:45,623 --> 00:58:48,870 even in a rural area there's a lot of work to be done. 1176 00:58:48,870 --> 00:58:51,620 We've done this in Medellin in Columbia 1177 00:58:51,620 --> 00:58:55,140 and Valledupar, Columbia, which is a much smaller city 1178 00:58:56,320 --> 00:58:57,720 in which there are no trees. 1179 00:58:58,770 --> 00:59:01,750 It's a relatively new city and there are, 1180 00:59:01,750 --> 00:59:03,970 well, there are trees, but there's not a lot of trees. 1181 00:59:03,970 --> 00:59:06,160 And the mayor and folks want a justification 1182 00:59:06,160 --> 00:59:06,993 why plant trees? 1183 00:59:06,993 --> 00:59:08,870 Who will take care of it? 1184 00:59:08,870 --> 00:59:10,670 They did a STEW-MAP there. 1185 00:59:10,670 --> 00:59:13,220 We were kind of scratching our heads, is this gonna work? 1186 00:59:13,220 --> 00:59:15,890 And they did a STEW-MAP there and they found that 1187 00:59:17,340 --> 00:59:20,673 by just surfacing all the different people who cared, 1188 00:59:21,735 --> 00:59:23,330 all the different groups that cared, 1189 00:59:23,330 --> 00:59:26,767 it gave the mayor's office enough credibility to say, 1190 00:59:26,767 --> 00:59:29,480 "Okay, I will give you the budget to do this work 1191 00:59:29,480 --> 00:59:32,797 'cause now I see that you have a constituency for it." 1192 00:59:34,110 --> 00:59:36,560 But it wasn't visualized. 1193 00:59:36,560 --> 00:59:38,410 Like, so a lot of the things that we assume 1194 00:59:38,410 --> 00:59:40,430 about rural and urban places, 1195 00:59:40,430 --> 00:59:42,250 some of this stuff just isn't visualized. 1196 00:59:42,250 --> 00:59:45,320 So, STEW-MAP in many ways, it's just about bringing to light 1197 00:59:46,290 --> 00:59:48,480 stuff that we think we know 1198 00:59:48,480 --> 00:59:53,433 but it just doesn't often get its full light of day. 1199 00:59:55,483 --> 00:59:58,190 - That's fascinating to think that it's not a question 1200 00:59:58,190 --> 01:00:00,810 of creating the communities that you need to do the work 1201 01:00:00,810 --> 01:00:02,057 but actually finding that they're already there 1202 01:00:02,057 --> 01:00:03,650 and how you're going to support them. 1203 01:00:03,650 --> 01:00:05,310 Pretty cool. 1204 01:00:05,310 --> 01:00:06,977 This is from anonymous attendee, it says, 1205 01:00:06,977 --> 01:00:08,810 "It seems that successful engagement 1206 01:00:08,810 --> 01:00:11,230 really depends on finding funding to do the work 1207 01:00:11,230 --> 01:00:13,860 or support the people to organize the work. 1208 01:00:13,860 --> 01:00:15,860 How have you been able to fund, maintain 1209 01:00:15,860 --> 01:00:17,727 some of these great efforts?" 1210 01:00:19,760 --> 01:00:21,490 - Oh, that's a great question, 1211 01:00:21,490 --> 01:00:24,053 I hope I'm gonna answer it correctly. 1212 01:00:25,120 --> 01:00:27,393 So, funding. 1213 01:00:31,470 --> 01:00:32,470 I guess if you're asking, 1214 01:00:32,470 --> 01:00:35,750 if the question is posed, forgive me if I've got it wrong, 1215 01:00:35,750 --> 01:00:38,360 of how to fund the STEW-MAP, 1216 01:00:38,360 --> 01:00:41,735 is that the question or how to sustain- 1217 01:00:41,735 --> 01:00:46,130 - It speak specifically to successful engagement 1218 01:00:46,130 --> 01:00:49,940 and kind of either supporting people or organizing people 1219 01:00:49,940 --> 01:00:50,773 who are doing the work. 1220 01:00:50,773 --> 01:00:51,780 So it could be STEW-MAP, 1221 01:00:51,780 --> 01:00:54,570 it could also, I envisioned this question could also pertain 1222 01:00:54,570 --> 01:00:57,560 to those regional partnerships support networks. 1223 01:00:57,560 --> 01:01:01,330 - Right, well, I guess it doesn't cost that much 1224 01:01:01,330 --> 01:01:03,130 when you compare it to other things. 1225 01:01:04,190 --> 01:01:05,937 But I do want to acknowledge that a lot of this work, 1226 01:01:05,937 --> 01:01:08,140 you know, you have your STEW-MAP data 1227 01:01:08,140 --> 01:01:10,500 and then you'd have to go out and build your partnerships 1228 01:01:10,500 --> 01:01:11,850 into your coalition building. 1229 01:01:11,850 --> 01:01:14,465 And that takes, 1230 01:01:14,465 --> 01:01:18,020 that's the slow, careful work of community organizing. 1231 01:01:18,020 --> 01:01:22,180 And I think that it's hard to automate a lot of that stuff. 1232 01:01:22,180 --> 01:01:24,930 But at the same time, it might just be... 1233 01:01:26,250 --> 01:01:30,850 If I can use the example, I'm gonna use two examples, 1234 01:01:30,850 --> 01:01:32,217 one from New York City and one from the Forest Service. 1235 01:01:32,217 --> 01:01:34,670 If I can use the example of the Forest Service. 1236 01:01:34,670 --> 01:01:38,560 You can see the staff that exists on the national forest. 1237 01:01:38,560 --> 01:01:43,560 And I think during COVID, there's been a recognition that 1238 01:01:44,310 --> 01:01:47,330 recreations staff, we've interviewed a lot of them, 1239 01:01:47,330 --> 01:01:50,710 would say, "Wow, we're having a moment now. 1240 01:01:50,710 --> 01:01:54,780 We used to not be at the table and now we're at the table." 1241 01:01:54,780 --> 01:01:58,840 And folks are recognizing that 1242 01:01:58,840 --> 01:02:00,810 positions like public affairs positions, 1243 01:02:00,810 --> 01:02:04,000 recreation positions, partnership coordinators 1244 01:02:04,000 --> 01:02:07,210 are really vital and relate to issues of fire 1245 01:02:07,210 --> 01:02:09,900 and relate to issues of disturbance and recovery. 1246 01:02:09,900 --> 01:02:11,950 And so, it's not just a nice to do. 1247 01:02:11,950 --> 01:02:13,860 So part of this thing about funding 1248 01:02:13,860 --> 01:02:15,300 is more just an acknowledgement 1249 01:02:15,300 --> 01:02:18,720 of some of the roles that people are already playing 1250 01:02:18,720 --> 01:02:21,130 of how lift them up and to elevate them 1251 01:02:21,130 --> 01:02:23,620 in the structure of an organization. 1252 01:02:23,620 --> 01:02:24,523 That's one. 1253 01:02:25,740 --> 01:02:27,163 In the other, you know, 1254 01:02:28,370 --> 01:02:31,300 so New York City is getting some recovery money 1255 01:02:31,300 --> 01:02:35,300 or has received some recovery money from Hurricane Ida. 1256 01:02:35,300 --> 01:02:39,160 And it's not an insignificant amount of resources. 1257 01:02:39,160 --> 01:02:41,450 Well, in the past, a lot of those resources 1258 01:02:41,450 --> 01:02:45,373 might go to the thing, the green infrastructure, 1259 01:02:46,230 --> 01:02:49,150 the wetlands reconstruction. 1260 01:02:49,150 --> 01:02:53,980 Now, and I hear this from my colleagues that I work with, 1261 01:02:53,980 --> 01:02:55,670 they are actually pulling back 1262 01:02:55,670 --> 01:02:58,200 to see how they could actually staff up 1263 01:02:58,200 --> 01:02:59,950 some of this work for the long haul. 1264 01:02:59,950 --> 01:03:02,930 Meaning hiring more community organizers, 1265 01:03:02,930 --> 01:03:06,030 hiring more of the type of people who, you know... 1266 01:03:06,030 --> 01:03:08,880 So holding back some of that physical money 1267 01:03:08,880 --> 01:03:13,790 to go into that area and putting it a little bit, not a lot, 1268 01:03:13,790 --> 01:03:17,430 into staffing capacity around community organizing. 1269 01:03:17,430 --> 01:03:19,460 I mean, those are the kinds of like 1270 01:03:19,460 --> 01:03:23,650 small things that you can do if you do have resources 1271 01:03:23,650 --> 01:03:25,740 or to reassign resources 1272 01:03:25,740 --> 01:03:28,760 or to just elevate someone's position 1273 01:03:28,760 --> 01:03:31,743 in the context of the disturbance. 1274 01:03:31,743 --> 01:03:33,493 - And that's really interesting. 1275 01:03:34,380 --> 01:03:36,570 There's kind of a follow-on that's further down the list, 1276 01:03:36,570 --> 01:03:38,160 but I'm gonna jump to this one 1277 01:03:38,160 --> 01:03:40,340 'cause it kind of relates to what you were just speaking to 1278 01:03:40,340 --> 01:03:41,797 around the organizing. 1279 01:03:41,797 --> 01:03:43,530 "What do you see as the role 1280 01:03:43,530 --> 01:03:46,500 of state agency, forestry and wildlife departments, 1281 01:03:46,500 --> 01:03:48,870 in fostering or leveraging these networks 1282 01:03:48,870 --> 01:03:51,640 to promote healthy and resilient forests?" 1283 01:03:51,640 --> 01:03:53,010 - Critical. 1284 01:03:53,010 --> 01:03:53,978 Critical. 1285 01:03:53,978 --> 01:03:54,963 Oh, my goodness. 1286 01:03:59,010 --> 01:04:01,180 All of us perform different roles. 1287 01:04:01,180 --> 01:04:04,590 I'm a researcher just trying to visualize things. 1288 01:04:04,590 --> 01:04:08,790 And I do a little bit, my team does a little bit more, 1289 01:04:08,790 --> 01:04:10,083 you know, as I said, 1290 01:04:11,180 --> 01:04:13,670 because of our position we try and create tools 1291 01:04:13,670 --> 01:04:16,860 and we kind of try and work in co-production situations 1292 01:04:16,860 --> 01:04:19,230 where we're not kind of doing our research in isolation. 1293 01:04:19,230 --> 01:04:23,736 We're doing it to answer a question that the public has 1294 01:04:23,736 --> 01:04:25,410 and that question could be useful 1295 01:04:25,410 --> 01:04:27,990 for other publics out there. 1296 01:04:27,990 --> 01:04:31,663 So we try and, you know, always kind of work in that frame. 1297 01:04:32,600 --> 01:04:34,214 But it's really, I don't know, 1298 01:04:34,214 --> 01:04:36,367 it's super important that 1299 01:04:41,790 --> 01:04:43,537 you know, we have all scales 1300 01:04:43,537 --> 01:04:45,970 and we're working across all those scales. 1301 01:04:45,970 --> 01:04:50,000 And the state has such an unusual like 1302 01:04:50,000 --> 01:04:52,430 bird's eye view of the landscape 1303 01:04:53,380 --> 01:04:57,740 and is able to, I think, just get right in there 1304 01:04:57,740 --> 01:05:00,240 and connect people and places 1305 01:05:00,240 --> 01:05:02,530 in a way that I probably can't do 1306 01:05:02,530 --> 01:05:05,020 from my little vantage point as a researcher 1307 01:05:05,020 --> 01:05:07,870 or that someone can't do in just one particular city. 1308 01:05:07,870 --> 01:05:08,703 And you know it. 1309 01:05:08,703 --> 01:05:11,370 You know these folks in your state and your region, 1310 01:05:11,370 --> 01:05:14,683 the people who are the networkers, the influencers. 1311 01:05:17,258 --> 01:05:19,700 Keeping that community alive 1312 01:05:19,700 --> 01:05:21,630 and thriving and cultivating them 1313 01:05:21,630 --> 01:05:26,450 and finding ways to engage and have reflective discussions. 1314 01:05:26,450 --> 01:05:29,080 The COVID paper that we just came out with 1315 01:05:30,120 --> 01:05:35,120 really does underscore that the kind of company you keep, 1316 01:05:36,620 --> 01:05:39,180 those often shape your outcomes 1317 01:05:39,180 --> 01:05:43,030 and your ability to change and deal with disturbance. 1318 01:05:43,030 --> 01:05:46,240 Also, the importance of being reflective 1319 01:05:46,240 --> 01:05:51,240 and oftentimes, we're there and we're an expert 1320 01:05:51,480 --> 01:05:53,810 and we have to feel like, I'm this, I'm that. 1321 01:05:53,810 --> 01:05:57,370 But these moments of disturbance kind of deflate that 1322 01:05:57,370 --> 01:06:00,010 and give us all kind of equal footing. 1323 01:06:00,010 --> 01:06:02,260 But why can't we do that in the normal times? 1324 01:06:05,090 --> 01:06:07,514 Why can't we all just be like, you know. 1325 01:06:07,514 --> 01:06:10,480 And so, we're finding that that kind of leadership, 1326 01:06:10,480 --> 01:06:12,430 that polycentric leadership. 1327 01:06:12,430 --> 01:06:13,840 Yeah, you might be from the state 1328 01:06:13,840 --> 01:06:15,190 or someone might be for the feds 1329 01:06:15,190 --> 01:06:17,670 or someone might be in New York City mayor's office 1330 01:06:17,670 --> 01:06:19,630 or someone might be a big NGO 1331 01:06:19,630 --> 01:06:21,770 and someone might be a small NGO 1332 01:06:21,770 --> 01:06:23,480 why can't we meet around the table 1333 01:06:23,480 --> 01:06:26,320 in a collaborative co-production model 1334 01:06:26,320 --> 01:06:28,330 and network and support each other? 1335 01:06:28,330 --> 01:06:29,880 I mean, that's the kind of stuff 1336 01:06:29,880 --> 01:06:32,600 that we're finding more and more is critical 1337 01:06:32,600 --> 01:06:35,283 for times of disturbance, any disturbance. 1338 01:06:36,480 --> 01:06:40,990 FEMA recently put on a series called, 1339 01:06:40,990 --> 01:06:41,823 I'm gonna get it wrong, 1340 01:06:41,823 --> 01:06:45,070 but if you Google, FEMA resilient nation, you'll find it. 1341 01:06:45,070 --> 01:06:46,540 A series of workshops. 1342 01:06:46,540 --> 01:06:49,680 It was phenomenal this year and really brought forth, 1343 01:06:49,680 --> 01:06:52,090 their community recovery office really brought forth 1344 01:06:52,090 --> 01:06:54,130 a lot of the learning that they've had 1345 01:06:54,130 --> 01:06:58,240 and who they've learned with over the years around recovery. 1346 01:06:58,240 --> 01:07:02,370 Really fascinating and well-thought out series of workshops 1347 01:07:02,370 --> 01:07:04,880 that, you know, if you're interested check that out. 1348 01:07:04,880 --> 01:07:06,820 And then whatever your role is; 1349 01:07:06,820 --> 01:07:10,490 state, fed, city, NGO, academic, 1350 01:07:10,490 --> 01:07:12,090 you know, how can you plug in? 1351 01:07:12,090 --> 01:07:15,453 How can you plug in and add value to this complex tapestry? 1352 01:07:17,820 --> 01:07:20,820 But states have a bird's eye view 1353 01:07:20,820 --> 01:07:24,810 that I think is that wonderful middle ground 1354 01:07:24,810 --> 01:07:28,060 between just knowing a place so well 1355 01:07:28,060 --> 01:07:29,760 and knowing who all the actors are 1356 01:07:29,760 --> 01:07:33,130 and knowing who's not there and knitting it together. 1357 01:07:33,130 --> 01:07:34,810 It's really important. 1358 01:07:34,810 --> 01:07:37,160 - Yeah, that's a great perspective. 1359 01:07:37,160 --> 01:07:39,847 We have one come into the chat from Jeff Warren, it says, 1360 01:07:39,847 --> 01:07:41,410 "Hi, Erika, great to see you. 1361 01:07:41,410 --> 01:07:43,820 We had a chance to work together and revitalizing Baltimore 1362 01:07:43,820 --> 01:07:44,830 and later BES," 1363 01:07:44,830 --> 01:07:47,447 which I assume is a Baltimore Ecosystem Study, 1364 01:07:47,447 --> 01:07:49,880 "you mentioned capacity for this work. 1365 01:07:49,880 --> 01:07:52,360 How do you find the sweet spot between city agencies 1366 01:07:52,360 --> 01:07:54,840 taking appropriate responsibility for stewardship 1367 01:07:54,840 --> 01:07:57,390 versus NGO and grassroots community efforts 1368 01:07:57,390 --> 01:08:00,570 taking this role or better enhancing and focusing it?" 1369 01:08:00,570 --> 01:08:02,300 - Yeah, well, you know, 1370 01:08:02,300 --> 01:08:04,460 I mean, I could answer broadly 1371 01:08:04,460 --> 01:08:07,430 and I guess get maybe some specifics. 1372 01:08:07,430 --> 01:08:11,650 But basically this is the reason we're doing this work 1373 01:08:11,650 --> 01:08:14,530 'cause we noticed that neither government 1374 01:08:14,530 --> 01:08:17,960 or even funder community, meaning private funders, 1375 01:08:17,960 --> 01:08:22,660 we're paying much attention to this work years ago. 1376 01:08:22,660 --> 01:08:24,413 I think that's changing now, 1377 01:08:24,413 --> 01:08:28,880 it's changing because of a lot of the social movements 1378 01:08:29,740 --> 01:08:31,460 most recently Black Lives Matter, 1379 01:08:31,460 --> 01:08:35,850 but also the vulnerabilities that have been revealed 1380 01:08:35,850 --> 01:08:38,200 through a worldwide pandemic, 1381 01:08:38,200 --> 01:08:41,240 but also other disturbances in place that we find 1382 01:08:43,771 --> 01:08:47,703 that show us kind of a way forward. 1383 01:08:51,790 --> 01:08:53,353 Give me the question once more. 1384 01:08:55,020 --> 01:08:56,430 - How do you find the sweet spot 1385 01:08:56,430 --> 01:08:59,810 between city agencies taking responsibility for stewardship- 1386 01:08:59,810 --> 01:09:00,960 - Yeah. Yeah. 1387 01:09:00,960 --> 01:09:04,963 So the sweet spot is just knowing that, 1388 01:09:09,776 --> 01:09:13,423 knowing that these groups exist and that they persist. 1389 01:09:14,870 --> 01:09:16,740 That it's very important. 1390 01:09:16,740 --> 01:09:18,633 And to know that it's not, 1391 01:09:20,440 --> 01:09:21,560 you know, by funding them 1392 01:09:21,560 --> 01:09:24,430 you're not going to have this co-dependent relationship. 1393 01:09:24,430 --> 01:09:29,020 A lot of times cities wanna own the process of many things. 1394 01:09:29,020 --> 01:09:30,580 Government wants to own the process. 1395 01:09:30,580 --> 01:09:33,330 You only wanna get involved in what you can control. 1396 01:09:33,330 --> 01:09:34,720 And there's a rationale for that. 1397 01:09:34,720 --> 01:09:37,740 But, to the extent that government is taking 1398 01:09:37,740 --> 01:09:40,850 a little bit more chance on communities and with communities 1399 01:09:40,850 --> 01:09:42,720 and letting them drive a little bit 1400 01:09:42,720 --> 01:09:44,020 is an interesting moment. 1401 01:09:44,020 --> 01:09:45,580 And that's why we did STEW-MAP 1402 01:09:45,580 --> 01:09:47,740 to show that there's groups out there 1403 01:09:47,740 --> 01:09:50,260 and they're knowledgeable, they're connected, 1404 01:09:50,260 --> 01:09:53,020 and they don't just exist, but they persist over time 1405 01:09:53,020 --> 01:09:55,481 and in the landscape. 1406 01:09:55,481 --> 01:09:57,980 With the funding community, I've been like really, 1407 01:09:57,980 --> 01:09:59,810 and that's why I was bringing up Black Lives Matter, 1408 01:09:59,810 --> 01:10:02,200 and COVID, and these social movements, 1409 01:10:02,200 --> 01:10:07,130 we're really finally seeing some of the greening funders 1410 01:10:07,130 --> 01:10:10,740 actually put more calls out there 1411 01:10:10,740 --> 01:10:13,700 to support organizational capacity. 1412 01:10:13,700 --> 01:10:17,830 You know, to fund people, to fund staff, 1413 01:10:17,830 --> 01:10:19,940 you know, instead of funding the thing. 1414 01:10:19,940 --> 01:10:22,890 We need funding for trees, okay, and do that work, 1415 01:10:22,890 --> 01:10:25,310 but I think we've neglected that whole sphere 1416 01:10:25,310 --> 01:10:28,750 of like funding for people and organizational capacity. 1417 01:10:28,750 --> 01:10:32,060 And, I think, we're seeing a turn there 1418 01:10:32,060 --> 01:10:34,820 where a lot of the larger funders 1419 01:10:34,820 --> 01:10:37,033 are starting to recognize that space. 1420 01:10:39,035 --> 01:10:42,750 I hope that continues because in the end, I think, 1421 01:10:42,750 --> 01:10:44,130 as I used to jokingly say, 1422 01:10:44,130 --> 01:10:46,260 the plants and animals ain't gonna save themselves, 1423 01:10:46,260 --> 01:10:47,400 it's gonna be us, right. 1424 01:10:47,400 --> 01:10:49,530 We're the only beings that have 1425 01:10:49,530 --> 01:10:52,070 this kind of abstract thought that they can kind of figure 1426 01:10:52,070 --> 01:10:55,290 a way out of this situation collectively. 1427 01:10:55,290 --> 01:11:00,190 And so, we have to invest in people and organizations 1428 01:11:00,190 --> 01:11:01,723 alongside the resource. 1429 01:11:04,250 --> 01:11:05,527 Some governments would say, 1430 01:11:05,527 --> 01:11:07,530 "I would love to but don't have the funds. 1431 01:11:07,530 --> 01:11:09,080 Get me the funds, get me the way." 1432 01:11:09,080 --> 01:11:11,980 And sometimes there's ways when there isn't funds. 1433 01:11:11,980 --> 01:11:14,810 I go back to that other question, you know, 1434 01:11:14,810 --> 01:11:17,730 sometimes it's just elevating someone in their position. 1435 01:11:17,730 --> 01:11:21,370 Sometimes it just rearranging the deck chairs a little bit 1436 01:11:21,370 --> 01:11:23,990 you know, within your organization. 1437 01:11:23,990 --> 01:11:25,720 And other times, yes, 1438 01:11:25,720 --> 01:11:28,163 you need more funds to support this work. 1439 01:11:29,970 --> 01:11:33,670 Yeah, so, but disturbance offers, any disturbance, 1440 01:11:33,670 --> 01:11:36,760 offers an opportunity to have this conversation. 1441 01:11:36,760 --> 01:11:41,760 So, and it's a moment where people are open to change. 1442 01:11:43,590 --> 01:11:44,520 - That's so true. 1443 01:11:44,520 --> 01:11:47,330 Disruption really does give you that opening 1444 01:11:47,330 --> 01:11:49,110 to begin thinking about what's new 1445 01:11:49,110 --> 01:11:51,180 and what could be re-done. 1446 01:11:51,180 --> 01:11:52,590 We are really close to time. 1447 01:11:52,590 --> 01:11:54,550 I wanna try and squeeze in this last question 1448 01:11:54,550 --> 01:11:57,303 'cause I think it's a great kind of segue out here. 1449 01:11:58,280 --> 01:12:00,040 I love this idea, but it was from Andy Wood, 1450 01:12:00,040 --> 01:12:02,640 I love this idea of a green responder. 1451 01:12:02,640 --> 01:12:03,790 Where did that term come from? 1452 01:12:03,790 --> 01:12:05,560 And are you finding that it resonates with other people 1453 01:12:05,560 --> 01:12:06,973 in the STEW-MAP network? 1454 01:12:09,200 --> 01:12:10,660 - Yes. 1455 01:12:10,660 --> 01:12:13,470 The term for us really came from, 1456 01:12:13,470 --> 01:12:16,870 and, you know, we've been doing this work for a long time 1457 01:12:16,870 --> 01:12:19,990 as you saw with the first case. 1458 01:12:19,990 --> 01:12:23,170 But we've been doing those work in the company of others. 1459 01:12:23,170 --> 01:12:26,090 Most notably is a good colleague of mine, 1460 01:12:26,090 --> 01:12:30,310 Keith Tidball from Cornell, and others, 1461 01:12:30,310 --> 01:12:32,470 Marianne Krasny at Cornell. 1462 01:12:32,470 --> 01:12:37,470 And, you know, I don't know it's one of those jokes where, 1463 01:12:38,013 --> 01:12:40,730 who said it as we were gathered around the table 1464 01:12:40,730 --> 01:12:42,463 post one of these conferences. 1465 01:12:43,830 --> 01:12:48,550 Wondering that greeners respond, you know, 1466 01:12:48,550 --> 01:12:51,130 and so we always think about the first responder 1467 01:12:51,130 --> 01:12:55,810 of course, to save life and to save property and safety. 1468 01:12:55,810 --> 01:12:56,670 This is critical, 1469 01:12:56,670 --> 01:13:00,590 no one's trying to say that that's not part of the response 1470 01:13:00,590 --> 01:13:03,010 it's the immediate and emergent response. 1471 01:13:03,010 --> 01:13:07,483 But as we start to see this larger kind of road to recovery, 1472 01:13:09,002 --> 01:13:11,140 we've found that greeners 1473 01:13:11,140 --> 01:13:15,370 really are part of that response cycle and recovery cycle. 1474 01:13:15,370 --> 01:13:17,230 And so green responder, you know, 1475 01:13:17,230 --> 01:13:20,060 they're responding with the thing that they know best, 1476 01:13:20,060 --> 01:13:24,350 which is a handful of seeds, a tree seedling, 1477 01:13:24,350 --> 01:13:25,840 come on out, how you doing, 1478 01:13:25,840 --> 01:13:28,070 some conversation, let's get going. 1479 01:13:28,070 --> 01:13:30,930 And it scales up from there. 1480 01:13:30,930 --> 01:13:34,010 It's not a nice to do, it's actually sowing the seeds, 1481 01:13:34,010 --> 01:13:36,543 as I said earlier, of social resilience. 1482 01:13:37,420 --> 01:13:40,040 And social resilience is at the table 1483 01:13:40,040 --> 01:13:44,670 with all the other biophysical resilient 1484 01:13:44,670 --> 01:13:47,420 of restoring life and property 1485 01:13:47,420 --> 01:13:51,520 and makes you stronger for the next time something happens. 1486 01:13:51,520 --> 01:13:56,340 So really it's, I think, it is enormously important. 1487 01:13:56,340 --> 01:14:00,213 And I thank you for that question and all the others 1488 01:14:00,213 --> 01:14:04,470 and an opportunity just to be with you 1489 01:14:04,470 --> 01:14:06,673 and think about this together. 1490 01:14:08,330 --> 01:14:10,210 - Thank you, Dr. Svendsen Erika, thank you. 1491 01:14:10,210 --> 01:14:13,890 This has been not only really mind opening, as Amanda said, 1492 01:14:13,890 --> 01:14:16,300 but also really inspiring to think about 1493 01:14:17,240 --> 01:14:18,610 the scales that we're working at 1494 01:14:18,610 --> 01:14:22,240 and the level of effort and care that's out there right now 1495 01:14:22,240 --> 01:14:24,100 and that we may not even realize 1496 01:14:24,100 --> 01:14:25,890 how many of us are trying to fill this role. 1497 01:14:25,890 --> 01:14:27,960 So thank you for sharing your research 1498 01:14:27,960 --> 01:14:29,380 and sharing this moment with us. 1499 01:14:29,380 --> 01:14:30,726 I really appreciate it. 1500 01:14:30,726 --> 01:14:32,360 - Absolute pleasure. 1501 01:14:32,360 --> 01:14:33,193 My pleasure.