1 00:00:01,680 --> 00:00:04,160 Speaker 1: We can talk about the hardware and software all day, 2 00:00:04,200 --> 00:00:09,239 Speaker 1: but social technologies like trust, like mutuality, we have to 3 00:00:09,280 --> 00:00:13,560 Speaker 1: invest as much intellectual and emotional energy into honing those, 4 00:00:13,600 --> 00:00:17,319 Speaker 1: building those practicing those. It doesn't come natural, and so 5 00:00:17,600 --> 00:00:20,680 Speaker 1: part of what we're doing is trying to prototype new 6 00:00:20,760 --> 00:00:24,880 Speaker 1: relationships amongst ourselves. Like well, our tagline within the lab 7 00:00:24,960 --> 00:00:27,400 Speaker 1: is be careful with each other so we can be 8 00:00:27,520 --> 00:00:34,520 Speaker 1: dangerous together. Welcome to How to Citizen with Baritune Day, 9 00:00:34,680 --> 00:00:38,000 Speaker 1: a podcast that reimagine citizen as a verb, not a 10 00:00:38,080 --> 00:00:42,440 Speaker 1: legal status. This season is all about how we practice democracy, 11 00:00:42,640 --> 00:00:44,839 Speaker 1: what can we get rid of, what can we invent, 12 00:00:45,120 --> 00:00:47,640 Speaker 1: and how do we change the culture of democracy itself. 13 00:00:47,960 --> 00:00:50,800 Speaker 1: We're leaving the theoretical clouds and hitting the ground with 14 00:00:50,920 --> 00:00:54,800 Speaker 1: inspiring examples of people and institutions that are showing us 15 00:00:54,920 --> 00:01:04,240 Speaker 1: new ways to govern ourselves. I first came across the 16 00:01:04,319 --> 00:01:08,880 Speaker 1: name Ruha Benjamin, such a great sounding name, during the 17 00:01:08,920 --> 00:01:12,200 Speaker 1: peak of my rebellion against technology and my realization that 18 00:01:12,640 --> 00:01:16,960 Speaker 1: it was causing a lot of harm. It was the 19 00:01:17,000 --> 00:01:20,040 Speaker 1: fall of twenty eighteen. I was living in New York 20 00:01:20,080 --> 00:01:22,479 Speaker 1: City and working out of a place called the Data 21 00:01:22,560 --> 00:01:26,000 Speaker 1: in Society Research Institute. Which is about what it sounds like. 22 00:01:26,640 --> 00:01:29,840 Speaker 1: They're focused on the impact of data centric technologies on 23 00:01:30,000 --> 00:01:35,360 Speaker 1: society and how they affect people, especially those in marginalized communities. 24 00:01:35,880 --> 00:01:38,280 Speaker 1: Ruha was coming through to talk about her new book, 25 00:01:38,680 --> 00:01:41,880 Speaker 1: Race After Technology, a book that was saying out loud 26 00:01:41,880 --> 00:01:44,199 Speaker 1: and imprint a lot of the things that I'd also 27 00:01:44,240 --> 00:01:48,560 Speaker 1: been feeling and thinking and saying. In particular, she coined 28 00:01:48,600 --> 00:01:53,040 Speaker 1: this phrase the new gym code. I mean, come on now, 29 00:01:53,040 --> 00:01:56,160 Speaker 1: I'm a sucker for wordplay. That's amazing, And this is 30 00:01:56,240 --> 00:02:00,520 Speaker 1: basically her definition of the new gym code. Using technology 31 00:02:00,720 --> 00:02:05,680 Speaker 1: to reflect or even reproduce existing inequalities, while concealing that 32 00:02:06,120 --> 00:02:09,880 Speaker 1: by promoting the tech with the language of progress and 33 00:02:10,080 --> 00:02:13,400 Speaker 1: objectivity that masks the fact that it's built on the 34 00:02:13,440 --> 00:02:17,160 Speaker 1: discrimination from a previous era. I cheered when I saw 35 00:02:17,200 --> 00:02:19,720 Speaker 1: that because it echoed my own statements around the time 36 00:02:20,080 --> 00:02:22,480 Speaker 1: that we might find the civil rights battles of the 37 00:02:22,520 --> 00:02:26,000 Speaker 1: future harder to win because they'd be encoded in this 38 00:02:26,120 --> 00:02:30,680 Speaker 1: technocentric language of progress and fairness and equality. But the 39 00:02:30,840 --> 00:02:35,000 Speaker 1: systems will actually make us more oppressed by literally codifying 40 00:02:35,040 --> 00:02:39,600 Speaker 1: discrimination in the data in tech that's based on our 41 00:02:39,720 --> 00:02:43,800 Speaker 1: unjust past. We'd write history into our futures, and not 42 00:02:43,919 --> 00:02:51,560 Speaker 1: in a good way. So Ruha was saying all that 43 00:02:51,800 --> 00:02:54,840 Speaker 1: and so much more. When I saw her three years 44 00:02:54,919 --> 00:02:57,760 Speaker 1: later at south By Southwest in twenty twenty two, she 45 00:02:57,880 --> 00:03:01,200 Speaker 1: was moderating a panel on a virtual and augmented reality 46 00:03:01,240 --> 00:03:06,359 Speaker 1: experience that beautifully honored the life of Brianna Taylor. Sadly, 47 00:03:06,440 --> 00:03:10,280 Speaker 1: we know about Brianna because the Louisville Metro Police shot 48 00:03:10,280 --> 00:03:12,960 Speaker 1: and killed her in the summer of twenty twenty. In 49 00:03:12,960 --> 00:03:16,360 Speaker 1: this case, technology was being used to help a family 50 00:03:16,440 --> 00:03:19,840 Speaker 1: and a community remember Brianna's life, not just her death, 51 00:03:20,360 --> 00:03:24,280 Speaker 1: and ultimately help them heal. Ruha was helping show a 52 00:03:24,320 --> 00:03:28,079 Speaker 1: different and more positive experience of technology and its impact. 53 00:03:28,800 --> 00:03:32,160 Speaker 1: Along with bringing community connection and facilitation to the front 54 00:03:32,200 --> 00:03:35,600 Speaker 1: of her fight for justice. Ruha is echoing that same 55 00:03:35,760 --> 00:03:38,840 Speaker 1: joy and warmth that Adrian Marie Brown brought us at 56 00:03:38,840 --> 00:03:41,600 Speaker 1: the start of this season, and her work connects to 57 00:03:41,600 --> 00:03:43,800 Speaker 1: the way we think about citizen as a verb. Here 58 00:03:43,800 --> 00:03:47,480 Speaker 1: at the show, our four pillars show up and participate, 59 00:03:47,720 --> 00:03:52,320 Speaker 1: invest in relationships, understand power, and value the collective are 60 00:03:52,360 --> 00:03:56,840 Speaker 1: things she practices, not just preaches, Especially on relationships and power. 61 00:03:57,200 --> 00:03:59,720 Speaker 1: She does much of that practice as founding director of 62 00:03:59,720 --> 00:04:03,200 Speaker 1: the Data Lab at Princeton, where she also teaches. The 63 00:04:03,320 --> 00:04:06,640 Speaker 1: lab is focused on rethinking and retooling the relationship between 64 00:04:06,680 --> 00:04:12,120 Speaker 1: stories and statistics, power and technology, data and justice. They 65 00:04:12,160 --> 00:04:15,880 Speaker 1: invite community based organizations to partner with them on building 66 00:04:15,920 --> 00:04:19,479 Speaker 1: technologies that meet their needs, from mapping the work of 67 00:04:19,560 --> 00:04:23,279 Speaker 1: companies engaged in immigrants surveillance and developing tools for formerly 68 00:04:23,320 --> 00:04:27,200 Speaker 1: incarcerated small business owners, to creating playbooks about black maternal 69 00:04:27,240 --> 00:04:31,039 Speaker 1: mental health and resources for tenants facing eviction. And that's 70 00:04:31,080 --> 00:04:36,200 Speaker 1: just naming a few. I consider Uja to be a 71 00:04:36,320 --> 00:04:39,280 Speaker 1: kindred spirit and it's so cool to finally have her 72 00:04:39,279 --> 00:04:41,960 Speaker 1: on the show. Now. We got together in front of 73 00:04:42,000 --> 00:04:45,360 Speaker 1: a live i RL audience in New York in September 74 00:04:45,400 --> 00:04:48,039 Speaker 1: twenty twenty two. It was part of a conference and 75 00:04:48,160 --> 00:04:51,679 Speaker 1: festival called Unfinished. I've been hosting that event for three 76 00:04:51,960 --> 00:04:54,240 Speaker 1: years straight because it's so well aligned with what we 77 00:04:54,320 --> 00:04:58,040 Speaker 1: do here at How to Citizen. This gathering is predicated 78 00:04:58,080 --> 00:05:02,040 Speaker 1: on interpreting the project of a mer the possibilities of technology, 79 00:05:02,080 --> 00:05:07,760 Speaker 1: even democracy itself, as well as Unfinished, especially in this 80 00:05:07,839 --> 00:05:11,599 Speaker 1: moment where both democracy and technology feel like they're on 81 00:05:11,640 --> 00:05:17,080 Speaker 1: the precipice of something, something great or something terrible. While 82 00:05:17,080 --> 00:05:19,719 Speaker 1: it unfinished, Ruhat and I sat down for a special 83 00:05:19,800 --> 00:05:22,920 Speaker 1: live taping of Hot to Citizen, which you'll hear right after. 84 00:05:22,960 --> 00:05:34,599 Speaker 1: We pay for this podcast with an ad break. Yes, Yes, 85 00:05:34,760 --> 00:05:41,360 Speaker 1: smatterings of applause are encouraged, encouraged, Thank you. We're here 86 00:05:41,800 --> 00:05:45,200 Speaker 1: first context on the podcast, which I assume you all 87 00:05:45,200 --> 00:05:47,960 Speaker 1: listened to religiously. But there may be one person who's 88 00:05:48,000 --> 00:05:50,919 Speaker 1: never heard of podcasting and hasn't gotten around to the 89 00:05:50,960 --> 00:05:53,760 Speaker 1: billion that exists in the world. The premise of our 90 00:05:53,800 --> 00:05:56,840 Speaker 1: show is that we interpret the word citizen as a verb, 91 00:05:57,520 --> 00:06:00,320 Speaker 1: and we see it as an opportunity to include people 92 00:06:00,320 --> 00:06:03,560 Speaker 1: in the process, as opposed to this noun that divides 93 00:06:03,640 --> 00:06:06,760 Speaker 1: us from one another, separating people across imagine every line. 94 00:06:07,279 --> 00:06:09,599 Speaker 1: And so I'm sitting here with you, Ruha, because of 95 00:06:09,640 --> 00:06:11,920 Speaker 1: your book, and I was I here yelling in these 96 00:06:11,960 --> 00:06:15,800 Speaker 1: Internet streets about you know, the bias baked into the 97 00:06:15,880 --> 00:06:20,000 Speaker 1: system and they're making us new digital slaves and black box. 98 00:06:20,080 --> 00:06:21,400 Speaker 1: First of why I got to be a black box? 99 00:06:21,400 --> 00:06:23,599 Speaker 1: Why can't just be another obfuscated box? Why I gotta 100 00:06:23,640 --> 00:06:26,560 Speaker 1: be black? So I feel like you gotta reruha. You 101 00:06:26,560 --> 00:06:30,000 Speaker 1: gotta reruha. So I came across Raced after technology the 102 00:06:30,080 --> 00:06:32,720 Speaker 1: New You Gym Code, after having already read the New 103 00:06:32,760 --> 00:06:35,680 Speaker 1: Gym Chrome many years prior. And I would love to 104 00:06:35,720 --> 00:06:41,600 Speaker 1: know to start us off, how you're weaving of medicine 105 00:06:41,640 --> 00:06:46,320 Speaker 1: and technology and technological systems with ideas of power and 106 00:06:46,440 --> 00:06:49,440 Speaker 1: ultimately liberation, which we'll get to. Where does that come 107 00:06:49,480 --> 00:06:53,080 Speaker 1: from for you? Yes, so many origin stories. First of all, 108 00:06:53,640 --> 00:06:56,640 Speaker 1: Hi everyone, good to see you. I'm so thrilled to 109 00:06:56,720 --> 00:07:00,159 Speaker 1: be in conversation with Bartunde, whose work I read I 110 00:07:00,160 --> 00:07:03,880 Speaker 1: first started teaching as a young assistant professor BU and 111 00:07:03,960 --> 00:07:06,400 Speaker 1: it was the first and only book that had me 112 00:07:06,680 --> 00:07:11,000 Speaker 1: cackling on the airplane, like to the to everyone around. 113 00:07:11,000 --> 00:07:13,040 Speaker 1: It was mad because I was reading this and just 114 00:07:13,160 --> 00:07:17,560 Speaker 1: loved how incisive, how brilliant, how you use humor to 115 00:07:17,560 --> 00:07:19,560 Speaker 1: get us to open our hearts in our minds. So 116 00:07:19,680 --> 00:07:22,360 Speaker 1: thank you. So she's referring to how to Be Black, Yes, 117 00:07:22,800 --> 00:07:26,680 Speaker 1: which if you haven't bought your Races, that's just the 118 00:07:26,800 --> 00:07:32,280 Speaker 1: marketing sciences, not it's not accusing you back. So I 119 00:07:32,400 --> 00:07:36,320 Speaker 1: just I have been a huge fan of bartun Day's 120 00:07:36,320 --> 00:07:39,640 Speaker 1: work for a long time. Um, so so many origin stories, 121 00:07:39,680 --> 00:07:41,360 Speaker 1: you know, when someone asked you, how did you start? 122 00:07:41,400 --> 00:07:45,240 Speaker 1: And also I'll try to just distill perhaps two quick 123 00:07:45,640 --> 00:07:49,000 Speaker 1: personal experiences or times in my life that have led 124 00:07:49,040 --> 00:07:51,840 Speaker 1: me to this work. One is as a young in 125 00:07:52,080 --> 00:07:56,160 Speaker 1: growing up in Los Angeles. Imagine little seven or eight 126 00:07:56,200 --> 00:07:59,320 Speaker 1: year old Ruha in the back of her grandma's gold 127 00:07:59,400 --> 00:08:05,400 Speaker 1: Chrysler cruising down Crenshaw Boulevar exactly and how many times 128 00:08:05,440 --> 00:08:11,040 Speaker 1: have I heard that? So, you know, and just being 129 00:08:11,560 --> 00:08:15,520 Speaker 1: you know, just a wide eyed young kid, you know, 130 00:08:15,720 --> 00:08:21,040 Speaker 1: and passing by this one moment, passing by a group 131 00:08:21,080 --> 00:08:23,840 Speaker 1: of boys from my school lined up against the fence 132 00:08:24,080 --> 00:08:27,240 Speaker 1: very close to my house being patted down very aggressively 133 00:08:28,520 --> 00:08:32,760 Speaker 1: and shamefully, and just kind of catching their eye as 134 00:08:32,800 --> 00:08:36,640 Speaker 1: I'm in the back seat and seeing that very overt 135 00:08:36,720 --> 00:08:40,000 Speaker 1: form of policing that wasn't just meant to shame them 136 00:08:40,080 --> 00:08:42,880 Speaker 1: and control them, but it felt like a message to 137 00:08:42,960 --> 00:08:47,200 Speaker 1: all of us about where we belonged and what we were, 138 00:08:47,400 --> 00:08:51,000 Speaker 1: what we could expect, and that was reinforced and amplified 139 00:08:51,040 --> 00:08:55,520 Speaker 1: in many, many different ways, most notably just the everyday 140 00:08:55,600 --> 00:09:00,199 Speaker 1: audible experience of police helicopters rumbling overhead in Los Angeles, 141 00:09:00,200 --> 00:09:03,120 Speaker 1: you know, as a resident, and just the literal wall 142 00:09:03,160 --> 00:09:05,920 Speaker 1: shaking in my grandma's house a periodic intervals. So I 143 00:09:05,960 --> 00:09:10,959 Speaker 1: think of us as being in police occupied neighborhoods, and so, 144 00:09:11,160 --> 00:09:13,800 Speaker 1: you know, as a young mother, then I remember times 145 00:09:13,840 --> 00:09:16,280 Speaker 1: putting my boys to sleep in that same house and 146 00:09:16,360 --> 00:09:19,640 Speaker 1: the lights of the helicopters shining in and waking them up, 147 00:09:19,960 --> 00:09:24,760 Speaker 1: and so this very physical presence of policing. Then realizing that, oh, 148 00:09:24,880 --> 00:09:29,080 Speaker 1: there are other less visible, less audible ways in which 149 00:09:29,120 --> 00:09:32,640 Speaker 1: surveillance technologies are being deployed that perhaps are even more 150 00:09:32,720 --> 00:09:35,640 Speaker 1: dangerous because I can't point to them, because I can't 151 00:09:35,679 --> 00:09:37,800 Speaker 1: see them. And so it sort of led me to 152 00:09:37,880 --> 00:09:40,440 Speaker 1: look behind the screen, look at things that are out 153 00:09:40,440 --> 00:09:44,760 Speaker 1: of sight but are nevertheless classifying people controlling our lives 154 00:09:44,920 --> 00:09:48,640 Speaker 1: and in very harmful ways. And so there's this experience 155 00:09:48,679 --> 00:09:52,440 Speaker 1: of just being someone who understands what it is like 156 00:09:52,600 --> 00:09:56,440 Speaker 1: to be watched and not seen that has led to 157 00:09:56,520 --> 00:10:00,680 Speaker 1: this work. The other origin story comes from being a 158 00:10:00,800 --> 00:10:04,240 Speaker 1: young mother. I had my sons in my twenties and 159 00:10:05,280 --> 00:10:08,720 Speaker 1: living in Atlanta, Georgia at the time, and with my 160 00:10:08,800 --> 00:10:12,079 Speaker 1: first son, realizing what the experience was probably going to 161 00:10:12,160 --> 00:10:15,680 Speaker 1: be like with childbirth and the overly medicalized approach to 162 00:10:15,760 --> 00:10:19,560 Speaker 1: childbirth in this country, and understanding that there are different 163 00:10:19,559 --> 00:10:24,360 Speaker 1: schools of childbirth. There's the conventional obstetrics medicalized approach to 164 00:10:24,440 --> 00:10:27,360 Speaker 1: childbirth that we're familiar with and that I Binge watched 165 00:10:27,400 --> 00:10:30,199 Speaker 1: when I was pregnant with the birth story, and just 166 00:10:30,559 --> 00:10:34,120 Speaker 1: understanding what I could expect if I had my child 167 00:10:34,160 --> 00:10:37,040 Speaker 1: in a hospital, which is that the schedules of other 168 00:10:37,120 --> 00:10:41,880 Speaker 1: people would proceed mine that I could expect various technologies 169 00:10:41,920 --> 00:10:44,240 Speaker 1: that I may not necessarily need, that can be life 170 00:10:44,240 --> 00:10:48,880 Speaker 1: saving in some situations but have become normalized. And for 171 00:10:48,920 --> 00:10:51,320 Speaker 1: those who don't know, the experience of black women in 172 00:10:51,360 --> 00:10:55,720 Speaker 1: particular in our healthcare settings and childbirth in particular is 173 00:10:55,760 --> 00:11:01,400 Speaker 1: astronomically worse than everyone else. But I learned about midwiff free, 174 00:11:01,480 --> 00:11:04,439 Speaker 1: a different approach where you can either have your child 175 00:11:04,440 --> 00:11:07,160 Speaker 1: in a hospital, a birth center at home with the 176 00:11:07,240 --> 00:11:12,880 Speaker 1: accompaniment of dulas and midwives birthworkers, and the experience is 177 00:11:13,000 --> 00:11:16,320 Speaker 1: much much different. Centers the woman or birth in person, 178 00:11:16,480 --> 00:11:21,800 Speaker 1: centers our autonomy, our dignity is based on respect and 179 00:11:21,920 --> 00:11:25,720 Speaker 1: mutuality and trust, and that's what I chose to do. 180 00:11:25,880 --> 00:11:29,680 Speaker 1: And that's when I became critical of both authoritative forms 181 00:11:29,720 --> 00:11:33,720 Speaker 1: of knowledge, whether whatever sciences or medicine that is, but 182 00:11:33,840 --> 00:11:39,320 Speaker 1: also that other forms of expertise that exist and that 183 00:11:39,400 --> 00:11:43,680 Speaker 1: are often sort of marginalized and discounted in the form 184 00:11:43,720 --> 00:11:47,959 Speaker 1: in this case of childbirthing knowledge, and also became critical 185 00:11:48,000 --> 00:11:50,960 Speaker 1: of the overabundance of technology in our lives that we 186 00:11:51,000 --> 00:11:54,360 Speaker 1: may not necessarily need. But that just gives you a 187 00:11:54,400 --> 00:11:58,520 Speaker 1: sense of my critical take on when things are being 188 00:11:58,559 --> 00:12:03,640 Speaker 1: sold to us as a straightforward good without thinking carefully 189 00:12:03,840 --> 00:12:07,040 Speaker 1: about how they're actually being experienced. Would you describe this 190 00:12:07,160 --> 00:12:15,880 Speaker 1: as your critical race theory? Yes, yes, I would, Yes, 191 00:12:15,960 --> 00:12:21,839 Speaker 1: I would leap that out. I want the people a Georgia. 192 00:12:21,880 --> 00:12:26,520 Speaker 1: But they hear this exactly. Midwifery is actually a good 193 00:12:26,520 --> 00:12:29,840 Speaker 1: and unexpected segue. I'd like to spend the bulk of 194 00:12:29,840 --> 00:12:33,880 Speaker 1: the remainder of our time in this word seeds and 195 00:12:33,960 --> 00:12:39,280 Speaker 1: in midwifing new ideas of design, justice, of freedom, of thriving, 196 00:12:39,280 --> 00:12:43,200 Speaker 1: of liberation. One effort that you've undertaken is to create 197 00:12:43,600 --> 00:12:48,600 Speaker 1: the Ida B. Wells Just Data Lab at Princeton. What 198 00:12:48,840 --> 00:12:51,680 Speaker 1: is that? Yeah, I'm happy to talk about that. Because 199 00:12:51,720 --> 00:12:54,640 Speaker 1: that means we get to talk about my students, yes, 200 00:12:54,760 --> 00:12:57,480 Speaker 1: which is where a lot of my optimism, hope, and 201 00:12:57,679 --> 00:13:00,560 Speaker 1: energy comes from is getting to hang out with eighteen 202 00:13:00,559 --> 00:13:03,600 Speaker 1: to twenty two year olds all day who are both 203 00:13:03,640 --> 00:13:06,480 Speaker 1: critical and creative in their approaches. And so Ida B. 204 00:13:06,640 --> 00:13:14,880 Speaker 1: Wells I named it after Ida B Wells because, and 205 00:13:15,000 --> 00:13:18,520 Speaker 1: now an explainer to today if you're not familiar. Ida B. 206 00:13:18,640 --> 00:13:22,760 Speaker 1: Wells was a civil rights leader, suffragette, and investigative journalist 207 00:13:22,840 --> 00:13:25,640 Speaker 1: who lived from eighteen sixty two to nineteen thirty one. 208 00:13:25,960 --> 00:13:29,400 Speaker 1: She's best known for her work documenting racial terror lynchings 209 00:13:29,440 --> 00:13:31,959 Speaker 1: in the United States, and her most famous work is 210 00:13:32,000 --> 00:13:35,400 Speaker 1: The Red Record, an historic effort to quantify lynchings in 211 00:13:35,440 --> 00:13:43,319 Speaker 1: the US after slavery. I named it after Ida B 212 00:13:43,440 --> 00:13:48,120 Speaker 1: Wells because for many reasons, but one very personal reason 213 00:13:48,240 --> 00:13:52,600 Speaker 1: is that her grandson was my dissertation advisor, doctor Troy Duster, 214 00:13:52,840 --> 00:13:55,680 Speaker 1: and so I've felt a kinship with her, her family 215 00:13:55,880 --> 00:13:58,640 Speaker 1: and that legacy because he's the one who brought me 216 00:13:58,679 --> 00:14:02,640 Speaker 1: into this field of theology of science, knowledge and medicine, 217 00:14:02,960 --> 00:14:05,920 Speaker 1: and so as a tribute to that legacy, and also 218 00:14:06,040 --> 00:14:11,360 Speaker 1: because she used both statistics and stories to shine a 219 00:14:11,480 --> 00:14:15,520 Speaker 1: light on what is ailing us and the forms of 220 00:14:15,600 --> 00:14:19,240 Speaker 1: violence and injustice. And it's that combination those different tools 221 00:14:19,360 --> 00:14:22,280 Speaker 1: that we need the data, but the data itself is 222 00:14:22,280 --> 00:14:24,960 Speaker 1: not going to save us, because people can tell all 223 00:14:25,040 --> 00:14:28,840 Speaker 1: kinds of stories about data to justify all kinds of things. 224 00:14:29,280 --> 00:14:33,160 Speaker 1: And so it's that marrying of the narrative with the 225 00:14:33,280 --> 00:14:38,000 Speaker 1: statistics that she modeled so brilliantly in the Red Record, 226 00:14:38,120 --> 00:14:40,680 Speaker 1: and that I wanted to use as a beacon for 227 00:14:40,800 --> 00:14:43,920 Speaker 1: my own students. So these are students who aren't necessarily 228 00:14:43,960 --> 00:14:46,560 Speaker 1: in my classes, some of them are. They come from 229 00:14:46,560 --> 00:14:50,359 Speaker 1: many different disciplines from the STEM side, humanity, social sciences, 230 00:14:50,640 --> 00:14:56,080 Speaker 1: but they share an underlying desire to engage in what 231 00:14:56,120 --> 00:15:00,320 Speaker 1: we call tech justice, and so thinking about technol oology 232 00:15:00,480 --> 00:15:04,480 Speaker 1: not just as hardware software, but taking the stories as 233 00:15:04,480 --> 00:15:07,560 Speaker 1: seriously as we do the software. So we have artists 234 00:15:07,640 --> 00:15:10,960 Speaker 1: up in there. We have people who didn't necessarily take 235 00:15:11,000 --> 00:15:13,560 Speaker 1: a single computer science class, but who are bringing a 236 00:15:13,560 --> 00:15:17,080 Speaker 1: different skill set and approach. And one of the ways 237 00:15:17,080 --> 00:15:19,960 Speaker 1: that we've structured the lab is that we collaborate with 238 00:15:20,040 --> 00:15:29,480 Speaker 1: community based organizations insanity, humane and consensual. That is not 239 00:15:29,560 --> 00:15:33,600 Speaker 1: the technology that so many of us have been subjected 240 00:15:33,640 --> 00:15:36,800 Speaker 1: to in an autocratic kind of way, literally as subjects 241 00:15:36,800 --> 00:15:40,760 Speaker 1: to someone else's will, And say, you're describing really all 242 00:15:40,800 --> 00:15:46,360 Speaker 1: those words, this consensual, respectful relationship where it is a 243 00:15:46,400 --> 00:15:49,080 Speaker 1: feature not a bug, that someone who isn't a computer 244 00:15:49,200 --> 00:15:54,000 Speaker 1: programmer is involved in the programming because non programmers are 245 00:15:54,000 --> 00:15:57,080 Speaker 1: going to be living with these technologies. So what sorts 246 00:15:57,120 --> 00:16:01,920 Speaker 1: of critical and creative work have been prototyped and researched 247 00:16:01,920 --> 00:16:04,160 Speaker 1: in this last so as I was saying, we take 248 00:16:04,320 --> 00:16:08,280 Speaker 1: our marching orders from the organizations that we collaborate with. 249 00:16:08,400 --> 00:16:12,480 Speaker 1: Rather than study them or bring ideas to them, we 250 00:16:12,520 --> 00:16:15,520 Speaker 1: ask what would help you as an organizer? What would 251 00:16:15,640 --> 00:16:19,760 Speaker 1: help you as an organization do your work better? Silicon Valley, 252 00:16:19,800 --> 00:16:24,800 Speaker 1: are you listening? You have to prebake the solution, talk 253 00:16:24,920 --> 00:16:28,000 Speaker 1: to those who are most impacted. Whether we have a 254 00:16:28,040 --> 00:16:30,720 Speaker 1: team working on housing justice, we have a team working 255 00:16:30,760 --> 00:16:34,760 Speaker 1: on workers rights, we have a team working on maternal mortality. 256 00:16:34,920 --> 00:16:37,680 Speaker 1: And they collaborate with organizations all over the country, some 257 00:16:37,880 --> 00:16:42,040 Speaker 1: in Canada and elsewhere. But again, so getting the questions 258 00:16:42,560 --> 00:16:45,520 Speaker 1: from the source right, And so when we think about 259 00:16:45,680 --> 00:16:50,840 Speaker 1: design justice, we think about collaboration. Most corners of our world, 260 00:16:50,920 --> 00:16:53,480 Speaker 1: like if you go to NSF National Science Foundation and 261 00:16:53,480 --> 00:16:55,360 Speaker 1: get a grant, they'll tell you better have a community 262 00:16:55,520 --> 00:16:59,600 Speaker 1: organization involved. But oftentimes we're involving them much later in 263 00:16:59,720 --> 00:17:03,480 Speaker 1: the process, right, And sometimes it's window dressing. Sometimes it's 264 00:17:03,520 --> 00:17:08,320 Speaker 1: theatrical in terms of showing that you have this community support, 265 00:17:08,920 --> 00:17:12,359 Speaker 1: rather than starting at the very very beginning and find 266 00:17:12,400 --> 00:17:16,920 Speaker 1: out what questions should we be asking as researchers, as 267 00:17:16,960 --> 00:17:20,200 Speaker 1: a lab and get the questions and get the insights 268 00:17:20,400 --> 00:17:24,040 Speaker 1: from the start that let that be directed by our partners. 269 00:17:24,720 --> 00:17:27,399 Speaker 1: And so if you go to the Just Data Lab 270 00:17:27,760 --> 00:17:29,960 Speaker 1: dot org and go to the projects tab, you'll see 271 00:17:30,000 --> 00:17:33,120 Speaker 1: a wide range of projects that have come out of it, 272 00:17:33,920 --> 00:17:38,359 Speaker 1: whether it's dealing with police surveillance. Oftentimes we're casting the 273 00:17:38,480 --> 00:17:41,480 Speaker 1: light back on power, going back to how to citizen. 274 00:17:42,640 --> 00:17:45,960 Speaker 1: Rather than studying the most vulnerable who are trying to 275 00:17:46,040 --> 00:17:49,879 Speaker 1: navigate hostile systems, we say, who's creating this vulnerability, who's 276 00:17:49,960 --> 00:17:54,280 Speaker 1: creating this risk? Let's actually point our digital lens and 277 00:17:54,320 --> 00:17:58,520 Speaker 1: collect data and shine a light on upstream what's creating 278 00:17:58,680 --> 00:18:02,119 Speaker 1: these problems. So I'm going back to the pictures you 279 00:18:02,200 --> 00:18:05,000 Speaker 1: initially painted of these brothers with their hands up on 280 00:18:05,040 --> 00:18:09,720 Speaker 1: the wall being subject to an ill system, and I'm 281 00:18:09,720 --> 00:18:13,399 Speaker 1: imagining a world where your lab is talking to them, yes, 282 00:18:13,440 --> 00:18:16,440 Speaker 1: and working backwards up the stream. What have been some 283 00:18:16,520 --> 00:18:20,840 Speaker 1: of the results and at least feedback, especially from the 284 00:18:20,920 --> 00:18:24,960 Speaker 1: community members, from being much more involved in creating their 285 00:18:24,960 --> 00:18:28,760 Speaker 1: own solutions. Yes, and so you know, one example of 286 00:18:28,760 --> 00:18:32,159 Speaker 1: one of the organizations that we have learned from is 287 00:18:32,200 --> 00:18:37,440 Speaker 1: called Stop LAPD Spine Coalition. You may have heard of them, 288 00:18:37,680 --> 00:18:40,000 Speaker 1: very subtle name. Well, I don't know if I know 289 00:18:40,040 --> 00:18:44,199 Speaker 1: what they're about. Yeah, exactly, the Stop LAPD Spine Coalition. 290 00:18:44,359 --> 00:18:47,560 Speaker 1: And so they have modeled for us in their advocacy, 291 00:18:47,600 --> 00:18:51,000 Speaker 1: in their research is they base their own advocacy and 292 00:18:51,160 --> 00:18:55,240 Speaker 1: organizing on talking to community members first. So they created 293 00:18:55,280 --> 00:18:58,640 Speaker 1: a survey and with a whole range of questions about 294 00:18:59,080 --> 00:19:02,199 Speaker 1: what it feels like to be watched and all of 295 00:19:02,240 --> 00:19:05,160 Speaker 1: the different ways that people might not know what surveillance means, 296 00:19:05,160 --> 00:19:07,320 Speaker 1: They might not know what predictive policing means. But when 297 00:19:07,320 --> 00:19:09,760 Speaker 1: you break it down and say, has X, Y and 298 00:19:09,840 --> 00:19:12,280 Speaker 1: Z have you experienced this? Have people in your family 299 00:19:12,320 --> 00:19:15,280 Speaker 1: experiences has this happened to you? Then that is an 300 00:19:15,280 --> 00:19:18,280 Speaker 1: abundance of knowledge that might not necessarily have the latest 301 00:19:18,359 --> 00:19:21,080 Speaker 1: jargon and lingo attached to it, but it's a form 302 00:19:21,119 --> 00:19:25,280 Speaker 1: of deep experiential knowledge upon which then they're organizing and 303 00:19:25,280 --> 00:19:28,400 Speaker 1: their advocacy work has been built, and they have been 304 00:19:28,440 --> 00:19:31,119 Speaker 1: so successful in actually beginning to change some of the 305 00:19:31,160 --> 00:19:35,840 Speaker 1: policies putting moratory on certain predictive policing practices in LA. 306 00:19:36,000 --> 00:19:39,960 Speaker 1: But that has been based on actually listening to people, right, 307 00:19:40,080 --> 00:19:43,520 Speaker 1: so basic, Yeah, but it's also what I resonate with 308 00:19:43,560 --> 00:19:47,080 Speaker 1: about that is how does it make you feel? Yes? 309 00:19:47,160 --> 00:19:49,000 Speaker 1: What is it like to live like this? And I 310 00:19:49,040 --> 00:19:51,720 Speaker 1: think we can be very abstracted away from other people's 311 00:19:51,760 --> 00:19:55,760 Speaker 1: experiences when they're statistics and a word surveillance is not 312 00:19:55,800 --> 00:20:00,920 Speaker 1: a deeply emotional word, factly but not trusting. Yes, we 313 00:20:00,960 --> 00:20:03,800 Speaker 1: know that feeling and we don't like that feeling. And 314 00:20:03,840 --> 00:20:05,600 Speaker 1: I'm just imagining some of the other words from my 315 00:20:05,640 --> 00:20:09,280 Speaker 1: own experience that if we could build deeper sympathies and 316 00:20:09,320 --> 00:20:12,280 Speaker 1: empathies around the shared emotion, we don't want to project 317 00:20:12,280 --> 00:20:14,080 Speaker 1: that onto other people. It's something that we will want 318 00:20:14,080 --> 00:20:18,040 Speaker 1: to experience ourselves. Yes, yes, anything else you want to 319 00:20:18,040 --> 00:20:21,600 Speaker 1: brag on from from your just data student, now, I 320 00:20:21,600 --> 00:20:24,520 Speaker 1: would just really encourage you know. Part of it is 321 00:20:24,600 --> 00:20:30,200 Speaker 1: just as much about the process as the endpoints, the projects, 322 00:20:30,280 --> 00:20:32,679 Speaker 1: or the outputs we call them outputs, yeah, that you 323 00:20:32,720 --> 00:20:35,000 Speaker 1: can find. And so a lot of this has to 324 00:20:35,040 --> 00:20:39,080 Speaker 1: do with creating new forms of relationships because we can 325 00:20:39,119 --> 00:20:42,040 Speaker 1: talk about the hardware and software all day, but social 326 00:20:42,080 --> 00:20:47,440 Speaker 1: technologies like trust, like mutuality, we have to invest as 327 00:20:47,560 --> 00:20:51,600 Speaker 1: much intellectual and emotional energy into honing those, building those 328 00:20:51,640 --> 00:20:55,280 Speaker 1: practicing those. It doesn't come natural. We have to actually 329 00:20:55,400 --> 00:20:58,760 Speaker 1: price on it, no can't. You can't know, and so 330 00:20:58,880 --> 00:21:01,600 Speaker 1: there's not as much invest in it, right, And so 331 00:21:01,960 --> 00:21:05,160 Speaker 1: part of what we're doing is trying to prototype new 332 00:21:05,440 --> 00:21:09,560 Speaker 1: relationships amongst ourselves. Like well, our tagline within the lab 333 00:21:09,680 --> 00:21:12,560 Speaker 1: is be careful with each other so we can be 334 00:21:12,680 --> 00:21:16,359 Speaker 1: dangerous together. So this is a way of you know, 335 00:21:16,480 --> 00:21:21,480 Speaker 1: treating one another that yeah, okay, all right now, because 336 00:21:21,680 --> 00:21:25,280 Speaker 1: you know, for me it's important because I have seen 337 00:21:25,440 --> 00:21:30,000 Speaker 1: from the outside so many really noble undertakings where the 338 00:21:30,280 --> 00:21:33,159 Speaker 1: end just you know, justifies the mean. Where when you 339 00:21:33,240 --> 00:21:36,640 Speaker 1: actually are spending time with people, we're not treating each 340 00:21:36,640 --> 00:21:38,960 Speaker 1: other in the ways that we want the world to 341 00:21:39,080 --> 00:21:42,920 Speaker 1: mirror back to us. Psych is that what's a practical Yes, 342 00:21:43,400 --> 00:21:47,000 Speaker 1: example or implementation of how internally, yes, you are careful 343 00:21:47,040 --> 00:21:49,840 Speaker 1: with each other. Where's another institution focused on output may 344 00:21:49,840 --> 00:21:52,520 Speaker 1: not be Yeah, so there's there's two. One is sort 345 00:21:52,520 --> 00:21:55,440 Speaker 1: of you know, might seem less less grand, but it's 346 00:21:55,480 --> 00:21:59,479 Speaker 1: you know, really respecting each other's time and commitments. So 347 00:21:59,520 --> 00:22:01,280 Speaker 1: if we see we're going to do something at a 348 00:22:01,320 --> 00:22:05,240 Speaker 1: certain time, don't just be respectful to me as the director, 349 00:22:05,280 --> 00:22:06,879 Speaker 1: but I want you to have the same regard and 350 00:22:06,960 --> 00:22:10,160 Speaker 1: respect for each other's time. So that's just everyday type 351 00:22:10,160 --> 00:22:14,000 Speaker 1: of thing. But even sort of bigger picture beyond the 352 00:22:14,080 --> 00:22:17,320 Speaker 1: lab for all of us to consider is to think 353 00:22:17,359 --> 00:22:21,240 Speaker 1: about we're in this moment of this really flourishing of 354 00:22:21,400 --> 00:22:26,480 Speaker 1: abolitionist thought and imagination. So it's this twin process we're 355 00:22:26,520 --> 00:22:28,640 Speaker 1: trying to bring down or trying to grow. We're trying 356 00:22:28,680 --> 00:22:31,359 Speaker 1: to plant these seeds. And so part of that is 357 00:22:31,560 --> 00:22:35,280 Speaker 1: being critical of the way that punishment and policing has 358 00:22:35,359 --> 00:22:38,359 Speaker 1: infected not just the obvious police, but so many of 359 00:22:38,359 --> 00:22:43,000 Speaker 1: our institutions are punitive. Healthcare is punitive, Like I've heard 360 00:22:43,080 --> 00:22:46,359 Speaker 1: nurses say that, you know, if a patient is a 361 00:22:46,480 --> 00:22:49,679 Speaker 1: non compliant, they're supposed to call in the police or 362 00:22:49,760 --> 00:22:53,680 Speaker 1: do x Y and Z school, we know is super punitive, 363 00:22:54,080 --> 00:22:56,439 Speaker 1: and so if we're critical of that, but in our 364 00:22:56,480 --> 00:23:00,879 Speaker 1: own relationships with each other, we are punitive. We punish 365 00:23:00,960 --> 00:23:04,720 Speaker 1: each other for all kinds of things in ways. It 366 00:23:04,760 --> 00:23:08,479 Speaker 1: can be passive aggressive or disaggressive aggressive, you know. And 367 00:23:08,520 --> 00:23:11,560 Speaker 1: so I remember some years back being on this kind 368 00:23:11,560 --> 00:23:15,920 Speaker 1: of traveling caravan with some wonderful colleagues going through South Africa, 369 00:23:16,000 --> 00:23:18,840 Speaker 1: and one of the people on our traveling bus was 370 00:23:19,400 --> 00:23:25,199 Speaker 1: the Angela Davis and she was standingble I know, she 371 00:23:25,359 --> 00:23:27,720 Speaker 1: was standing in front of an auditorium full of students 372 00:23:27,720 --> 00:23:30,399 Speaker 1: in Cape Town, and there was a question what do 373 00:23:30,440 --> 00:23:33,560 Speaker 1: we do? Question? You know, like we're so excited, like 374 00:23:33,600 --> 00:23:35,080 Speaker 1: what do we do? She was like, well, you know, 375 00:23:35,280 --> 00:23:38,520 Speaker 1: we can't be critical of policing out there if we're 376 00:23:38,520 --> 00:23:42,160 Speaker 1: punitive in our relationships in here. We have to start modeling. 377 00:23:42,160 --> 00:23:45,160 Speaker 1: We have to start prefiguring the world we want right 378 00:23:45,280 --> 00:23:48,400 Speaker 1: in how we treat one another. And so that's part 379 00:23:48,440 --> 00:23:50,600 Speaker 1: of the ethos to think about, like how do we 380 00:23:50,680 --> 00:23:53,960 Speaker 1: show up and when people are not looking, when there's 381 00:23:53,960 --> 00:23:58,240 Speaker 1: no lights, no camera, you know, behind closed doors, because 382 00:23:58,359 --> 00:24:01,359 Speaker 1: if it's all just for the for the show, and 383 00:24:01,400 --> 00:24:07,359 Speaker 1: we're not really practicing those new values that ethos. Then 384 00:24:08,000 --> 00:24:10,800 Speaker 1: I don't think we have a strong foundation on which 385 00:24:10,840 --> 00:24:14,080 Speaker 1: to erect these structures that we imagine we want. So 386 00:24:14,400 --> 00:24:16,880 Speaker 1: in the lab itself, what does that look like? Then? 387 00:24:17,000 --> 00:24:19,119 Speaker 1: Do you do you not punish people at all? Do 388 00:24:19,160 --> 00:24:25,040 Speaker 1: you punish people for punishing people? There's accountability versus punishment. 389 00:24:25,080 --> 00:24:27,600 Speaker 1: I think that's two very different things, right, And that's 390 00:24:27,640 --> 00:24:30,720 Speaker 1: part of we think about, you know, the abolitionist approach. 391 00:24:30,760 --> 00:24:33,160 Speaker 1: It's like it's not a free for all. We don't 392 00:24:33,200 --> 00:24:36,320 Speaker 1: just do things and there's no consequence. But it's really 393 00:24:36,359 --> 00:24:40,240 Speaker 1: about thinking about when someone does something that violates a 394 00:24:40,400 --> 00:24:45,360 Speaker 1: norm or it's not respectful, if we really want that 395 00:24:45,480 --> 00:24:48,080 Speaker 1: action to change, then we have to approach it in 396 00:24:48,119 --> 00:24:52,199 Speaker 1: a way that fosters that invites that change, rather that 397 00:24:52,359 --> 00:24:56,640 Speaker 1: punishment doesn't change people's behavior. And so really thinking about 398 00:24:56,720 --> 00:24:59,320 Speaker 1: you know, when we had situations, I mean, we created 399 00:24:59,359 --> 00:25:02,840 Speaker 1: the lab at the of COVID, which means people's lives 400 00:25:02,840 --> 00:25:05,439 Speaker 1: are upside down and we want them to focus on 401 00:25:05,480 --> 00:25:08,160 Speaker 1: work and research. I don't care how important it is. 402 00:25:08,520 --> 00:25:11,000 Speaker 1: You have a whole life. You have parents dying, you 403 00:25:11,080 --> 00:25:14,399 Speaker 1: have siblings who are sick, and so part of bringing 404 00:25:14,400 --> 00:25:16,600 Speaker 1: this ethos inside the lab is to say we are 405 00:25:16,680 --> 00:25:20,919 Speaker 1: whole people. We are students, sometimes we're professors, We're not 406 00:25:21,000 --> 00:25:23,760 Speaker 1: our jobs. And so it's trying to build in that 407 00:25:23,800 --> 00:25:27,119 Speaker 1: approach to put work in its place, you know. And 408 00:25:27,200 --> 00:25:30,080 Speaker 1: so I think we can appreciate that in our own 409 00:25:30,240 --> 00:25:33,000 Speaker 1: beyond what I'm talking about and thinking about the role 410 00:25:33,040 --> 00:25:36,440 Speaker 1: of work and you know, getting things done, but also 411 00:25:36,520 --> 00:25:39,840 Speaker 1: realizing that we are living in an extraordinary moment in 412 00:25:39,880 --> 00:25:44,840 Speaker 1: which we're all hurting, we're all grieving, and so we 413 00:25:45,240 --> 00:25:48,399 Speaker 1: shouldn't simply just put our emotions at the door. We 414 00:25:48,400 --> 00:25:51,200 Speaker 1: should find a way to metabolize it in the way 415 00:25:51,200 --> 00:25:57,119 Speaker 1: that we work and organize ourselves. Metabolizing and whole person 416 00:25:58,080 --> 00:26:00,720 Speaker 1: reminds me of the dat First all you in person 417 00:26:01,240 --> 00:26:04,600 Speaker 1: south By Southwest twenty twenty two, you were leading a 418 00:26:04,640 --> 00:26:11,119 Speaker 1: discussion about an immersive art experience called Brihanna's Garden, which 419 00:26:11,400 --> 00:26:15,080 Speaker 1: was erected to I think honor the whole person. Yes, 420 00:26:15,200 --> 00:26:17,680 Speaker 1: it was Brianna Taylor, who many of us only know 421 00:26:17,800 --> 00:26:21,280 Speaker 1: as a victim of gun violence, of police violence, of 422 00:26:21,320 --> 00:26:24,760 Speaker 1: the state of no knock, warrants of black lives not mattering. Yes, 423 00:26:25,960 --> 00:26:30,200 Speaker 1: and so to briefly summarize, this is an AR experience, 424 00:26:30,240 --> 00:26:33,760 Speaker 1: a VR experience now that the family was a part 425 00:26:33,800 --> 00:26:38,800 Speaker 1: of building. Yes, that has volumetric capture of Brianna's sister, 426 00:26:40,000 --> 00:26:42,960 Speaker 1: the voice of her boyfriend. It's a you can drop 427 00:26:43,000 --> 00:26:45,320 Speaker 1: this garden in the room right now. You can install 428 00:26:45,359 --> 00:26:49,280 Speaker 1: it from the app store, and you encounter flowers that 429 00:26:49,359 --> 00:26:52,080 Speaker 1: have voiced memos embedded in them. So as you touch 430 00:26:52,119 --> 00:26:55,119 Speaker 1: a flower, you hear a message from someone who was 431 00:26:55,200 --> 00:26:57,840 Speaker 1: moved by Brianna, whether they knew her or not exactly. 432 00:26:57,920 --> 00:27:02,720 Speaker 1: There's voices from all over the world, most beautifully and 433 00:27:02,840 --> 00:27:07,880 Speaker 1: non hideously. There's no Nazi graffiti in this space. There's 434 00:27:07,920 --> 00:27:12,679 Speaker 1: no hate spewing. This is a curated experience, a moderated space. 435 00:27:13,080 --> 00:27:16,639 Speaker 1: And so I saw you moderating this conversation, and I 436 00:27:16,680 --> 00:27:19,080 Speaker 1: wonder how did you get connected to that project and 437 00:27:19,920 --> 00:27:22,960 Speaker 1: what did that mean to you as far as a 438 00:27:23,160 --> 00:27:28,960 Speaker 1: seed and an imagination of how we might be using technologies, Yes, 439 00:27:29,160 --> 00:27:32,440 Speaker 1: in a way that cares for allows us to care 440 00:27:32,480 --> 00:27:34,639 Speaker 1: for each other and create the systems we want to 441 00:27:34,640 --> 00:27:37,320 Speaker 1: live in. Yes. So, first of all, you described it 442 00:27:37,359 --> 00:27:41,880 Speaker 1: so beautifully. It's no movie to think about it. I 443 00:27:41,920 --> 00:27:48,240 Speaker 1: think if Brianna's family was not did not co create 444 00:27:48,320 --> 00:27:51,480 Speaker 1: this was not part of it from the beginning, was 445 00:27:51,520 --> 00:27:55,320 Speaker 1: not asked permission for this to be created. I wouldn't 446 00:27:55,359 --> 00:27:57,600 Speaker 1: have come near it with a ten foot poll, even 447 00:27:57,640 --> 00:28:01,520 Speaker 1: though I respected them Bleed designer, the team. To me, 448 00:28:01,720 --> 00:28:06,960 Speaker 1: it was absolutely crucial that this was their wish, that 449 00:28:07,000 --> 00:28:11,160 Speaker 1: they had input at every stage, and that in its 450 00:28:11,200 --> 00:28:15,360 Speaker 1: circulation in the world, that a family member is present 451 00:28:15,880 --> 00:28:18,800 Speaker 1: at all of you know, all of the yes. Yeah. 452 00:28:19,520 --> 00:28:24,320 Speaker 1: So I will say I knew the lead designer on 453 00:28:24,359 --> 00:28:29,639 Speaker 1: this and how careful she was in Lady Phoenix and 454 00:28:29,760 --> 00:28:34,439 Speaker 1: approaching the family, and her motivation was that she noticed 455 00:28:34,480 --> 00:28:37,840 Speaker 1: that in the aftermath of Brianna's murder that they there 456 00:28:37,920 --> 00:28:43,120 Speaker 1: was no place online, which is how especially young people, 457 00:28:43,480 --> 00:28:47,400 Speaker 1: there's no separation like your life is online that they 458 00:28:47,400 --> 00:28:50,440 Speaker 1: could grieve or express themselves. They were being harassed and 459 00:28:50,480 --> 00:28:53,040 Speaker 1: sent death threats and getting all of these messages, and 460 00:28:53,080 --> 00:28:55,680 Speaker 1: so like, the seed for her was what if we 461 00:28:55,720 --> 00:29:00,560 Speaker 1: could create a space for the family to express themselves 462 00:29:00,600 --> 00:29:04,920 Speaker 1: their love, their care, their grief around this, And that 463 00:29:05,040 --> 00:29:09,640 Speaker 1: was where Brianna's Garden was first born. But she went 464 00:29:09,680 --> 00:29:12,360 Speaker 1: and said, is this something that you would want again 465 00:29:12,480 --> 00:29:15,959 Speaker 1: asking permission, and if they had said no, she wouldn't 466 00:29:16,000 --> 00:29:18,239 Speaker 1: have done it no matter how. Now it's won all 467 00:29:18,280 --> 00:29:21,600 Speaker 1: these awards, it's getting all this attention, but that was 468 00:29:21,680 --> 00:29:24,320 Speaker 1: not the purpose. The purpose was for the family to 469 00:29:24,360 --> 00:29:28,000 Speaker 1: have a space. And what happened, as you describe, is 470 00:29:28,000 --> 00:29:30,360 Speaker 1: that it has become a space for so many people 471 00:29:30,440 --> 00:29:34,720 Speaker 1: not only to express their emotions around Brianna, but their 472 00:29:34,760 --> 00:29:39,440 Speaker 1: own unprocessed grief at all of the loss that people 473 00:29:39,480 --> 00:29:42,280 Speaker 1: have experienced over the last two years. So it's really 474 00:29:42,320 --> 00:29:46,760 Speaker 1: become this model for how we can curate and shape 475 00:29:46,760 --> 00:29:52,240 Speaker 1: and design different values and create spaces intentionally for healing 476 00:29:52,400 --> 00:29:57,760 Speaker 1: and for solidarity. And so yes, that is the story 477 00:29:57,760 --> 00:30:00,720 Speaker 1: of how I was pulled in, and I think why 478 00:30:00,760 --> 00:30:03,600 Speaker 1: I was because I'm so critical of technology. So they 479 00:30:03,600 --> 00:30:06,160 Speaker 1: were like, if we can get hurt of like that, man, 480 00:30:06,240 --> 00:30:09,480 Speaker 1: we must be doing something good. So it's kind of like, okay, 481 00:30:09,560 --> 00:30:14,360 Speaker 1: ruins on the panel. So so I went to that 482 00:30:14,440 --> 00:30:17,280 Speaker 1: panel and I installed the app from the audience and 483 00:30:17,360 --> 00:30:19,720 Speaker 1: I popped it up in my hotel room. Later that night, 484 00:30:20,120 --> 00:30:22,760 Speaker 1: I wept a lot just hearing other people and I 485 00:30:22,800 --> 00:30:25,640 Speaker 1: was left my own message about you know, losing my 486 00:30:25,640 --> 00:30:27,480 Speaker 1: mother to colon cancer at a pretty young age of 487 00:30:27,520 --> 00:30:31,680 Speaker 1: sixty five years old. I ended up going months later. 488 00:30:31,720 --> 00:30:38,800 Speaker 1: It's mayish and we had these twin foolish tragedies self 489 00:30:38,840 --> 00:30:44,400 Speaker 1: inflicted in the US in Buffalo with the Masks, shooting 490 00:30:44,440 --> 00:30:47,880 Speaker 1: at the Tops food market in Uvaldi at the school, 491 00:30:48,560 --> 00:30:51,040 Speaker 1: and I was at I was at my end with 492 00:30:51,120 --> 00:30:53,480 Speaker 1: like the whole thing. Just America. Yes, I'm like, I'm 493 00:30:53,520 --> 00:30:57,600 Speaker 1: out here, pretty hottest citizen, done whatever, do your thing. Yeah, 494 00:30:57,920 --> 00:31:00,080 Speaker 1: I was just I felt a bit broken, Yes, And 495 00:31:00,080 --> 00:31:03,200 Speaker 1: I found myself in DC, where I'm from, and I 496 00:31:03,240 --> 00:31:07,240 Speaker 1: went to the FM Museum and a friend works there, 497 00:31:07,240 --> 00:31:09,880 Speaker 1: and I said to her, like, I need to be uplifted. 498 00:31:10,640 --> 00:31:13,760 Speaker 1: I get it. The problems are problematic, problem is going 499 00:31:13,840 --> 00:31:17,080 Speaker 1: to problem. Yes, my heart is broken in pieces. So 500 00:31:17,120 --> 00:31:19,520 Speaker 1: I'm going to skip the basement of the museum, which 501 00:31:19,560 --> 00:31:22,880 Speaker 1: is all about the origin of the slave trade in 502 00:31:22,960 --> 00:31:26,040 Speaker 1: Belgium and the ships. And she's India Company. I'm like, 503 00:31:26,040 --> 00:31:29,040 Speaker 1: can you take me to a higher level? Literally literally 504 00:31:29,440 --> 00:31:32,920 Speaker 1: climbed the mountain together. And she showed me a few 505 00:31:33,120 --> 00:31:36,239 Speaker 1: of the dark things, just to like reconnect. But one 506 00:31:36,280 --> 00:31:38,080 Speaker 1: of the most beautiful things she showed me is that 507 00:31:38,440 --> 00:31:42,640 Speaker 1: Brihanna's in the museum. Yes, there's this beautiful portrait. And 508 00:31:42,800 --> 00:31:46,400 Speaker 1: I popped open my phone and I put Brihanna next 509 00:31:46,440 --> 00:31:50,080 Speaker 1: to Brianna in the museum, and she had never heard 510 00:31:50,120 --> 00:31:52,400 Speaker 1: this curator and so she saw this, She's like, oh 511 00:31:52,480 --> 00:31:55,520 Speaker 1: my God. And it just felt like, all right, My 512 00:31:55,680 --> 00:31:57,880 Speaker 1: heart was healed a little bit just having her in 513 00:31:58,000 --> 00:32:02,400 Speaker 1: her own garden represent it in analog art and digital art. 514 00:32:02,640 --> 00:32:05,959 Speaker 1: Of that augmenting our reality was something more beautiful than 515 00:32:06,040 --> 00:32:09,040 Speaker 1: what the reality I was experiencing at a time. So yeah, 516 00:32:09,640 --> 00:32:13,400 Speaker 1: powerful stuff powerful So and would I would be permiss 517 00:32:13,480 --> 00:32:16,760 Speaker 1: if I didn't say, again, echoing Lady Phoenix, that the 518 00:32:16,880 --> 00:32:22,160 Speaker 1: purpose for the whole team there is not to remember 519 00:32:22,440 --> 00:32:26,000 Speaker 1: Brianna for her pain, but for her purpose. Yeah, as 520 00:32:26,080 --> 00:32:29,120 Speaker 1: we know, she was training to be a nurse, she 521 00:32:29,400 --> 00:32:32,600 Speaker 1: was working at the front lines of COVID, and so 522 00:32:33,440 --> 00:32:36,280 Speaker 1: for the team and the family, she's carrying on her 523 00:32:36,320 --> 00:32:40,160 Speaker 1: work of healing in doing this for all of us. Yeah, 524 00:32:40,240 --> 00:32:55,000 Speaker 1: which I experienced directly, Yes, after the break, how reimagining 525 00:32:55,080 --> 00:32:58,400 Speaker 1: our social technologies can help us grow the world we want. 526 00:33:00,400 --> 00:33:03,880 Speaker 1: You have this book coming out, Viral Justice, which is 527 00:33:03,960 --> 00:33:08,080 Speaker 1: filled with tales of more seeds that we might cultivate 528 00:33:08,160 --> 00:33:11,720 Speaker 1: in water and grow into a garden that we would 529 00:33:11,720 --> 00:33:13,480 Speaker 1: be happy to inhabit in terms of the way we 530 00:33:13,640 --> 00:33:17,400 Speaker 1: structure our society. Can you share a bit more of 531 00:33:17,520 --> 00:33:20,640 Speaker 1: the seeds that you're excited about, especially as they relate 532 00:33:20,680 --> 00:33:24,240 Speaker 1: to our ability to self govern and maybe with that 533 00:33:24,360 --> 00:33:29,440 Speaker 1: intersection of technology and science as well. Absolutely, so I'll 534 00:33:29,600 --> 00:33:33,640 Speaker 1: try to just give you two or three seeds, literal seeds. 535 00:33:33,720 --> 00:33:36,680 Speaker 1: I mean, like the beginning is like literally getting our 536 00:33:36,720 --> 00:33:40,000 Speaker 1: hands dirty in terms of working with the earth. You know, 537 00:33:40,240 --> 00:33:43,520 Speaker 1: there's a man named Ron Finley in my neighborhood in 538 00:33:43,600 --> 00:33:49,560 Speaker 1: Los Angeles who the guerrilla gardener, the gangster garden gardener. Yeah, 539 00:33:50,120 --> 00:33:53,400 Speaker 1: and so part of it is like him just realizing 540 00:33:53,760 --> 00:33:57,680 Speaker 1: the food and security, the food deserts, and the toll 541 00:33:57,800 --> 00:33:59,600 Speaker 1: that takes on our health. And so he looked at 542 00:33:59,640 --> 00:34:02,080 Speaker 1: these parkways that are all over La, the little patch 543 00:34:02,160 --> 00:34:05,920 Speaker 1: of grass between people's homes and the streets, and said, 544 00:34:05,960 --> 00:34:08,640 Speaker 1: what if we just created urban gardens. And when he 545 00:34:08,719 --> 00:34:12,879 Speaker 1: first started, the city sided him right again, policing there 546 00:34:12,960 --> 00:34:17,319 Speaker 1: they go, there they go again. And so people get 547 00:34:17,400 --> 00:34:21,439 Speaker 1: you know, organized with him, and not only push that back, 548 00:34:21,520 --> 00:34:24,400 Speaker 1: but this has flourished this whole, you know, over I 549 00:34:24,480 --> 00:34:27,560 Speaker 1: think twenty urban gardens now using not just the parkways 550 00:34:27,600 --> 00:34:30,080 Speaker 1: but all different kinds of spaces. And so it's one 551 00:34:30,120 --> 00:34:33,080 Speaker 1: of those literal examples of not working in your backyard, 552 00:34:33,120 --> 00:34:35,480 Speaker 1: but working in your front yard and just starting to 553 00:34:35,640 --> 00:34:38,800 Speaker 1: create what we need more of, right and so thinking 554 00:34:38,880 --> 00:34:42,200 Speaker 1: about that as a kind of you know, inspiration for 555 00:34:42,320 --> 00:34:44,280 Speaker 1: all of the different ways we can get our hands 556 00:34:44,360 --> 00:34:47,759 Speaker 1: dirty and just work right where we are. Definitely advocating 557 00:34:47,800 --> 00:34:50,719 Speaker 1: for big structural policy change, is not taking away from that, 558 00:34:50,840 --> 00:34:53,879 Speaker 1: but not waiting for that either. And so the book 559 00:34:54,040 --> 00:34:56,040 Speaker 1: ends so if it starts with finlay, it ends with 560 00:34:56,120 --> 00:35:00,279 Speaker 1: a group in Seattle called the Seattle Solidarity Budget, which 561 00:35:00,320 --> 00:35:03,280 Speaker 1: over the last couple of years has managed by bringing 562 00:35:03,280 --> 00:35:07,479 Speaker 1: together over two hundred different organizations throughout the city working 563 00:35:07,560 --> 00:35:11,640 Speaker 1: on all kinds of things, from indigenous rights to environmental justice, 564 00:35:11,719 --> 00:35:15,400 Speaker 1: to healthcare to housing to education. All of them have 565 00:35:15,520 --> 00:35:19,360 Speaker 1: come together and have managed to slowly start reducing the 566 00:35:19,480 --> 00:35:22,600 Speaker 1: policing budget and investing in all of these different things 567 00:35:22,640 --> 00:35:25,279 Speaker 1: that actually make us safe. And so part of it 568 00:35:25,440 --> 00:35:28,480 Speaker 1: is this coalition, and it's thinking about what do we 569 00:35:28,600 --> 00:35:31,040 Speaker 1: have in common. We might have these different lanes that 570 00:35:31,120 --> 00:35:33,520 Speaker 1: we're in, things we really really care about. But there's 571 00:35:33,520 --> 00:35:38,480 Speaker 1: this bigger umbrella that's about thinking about budgets, as they say, 572 00:35:38,960 --> 00:35:43,640 Speaker 1: are moral documents. Getting back to the data and understanding 573 00:35:43,719 --> 00:35:48,240 Speaker 1: that the numbers, you know, that is values in those numbers, 574 00:35:48,360 --> 00:35:51,800 Speaker 1: not just economic values, but our social values are reflected 575 00:35:51,840 --> 00:35:53,879 Speaker 1: in those numbers. And so they say, if you look 576 00:35:53,920 --> 00:35:56,440 Speaker 1: at the city budget, those are our values where we're 577 00:35:56,480 --> 00:35:59,600 Speaker 1: putting the money. And so they've managed over time, working 578 00:36:00,080 --> 00:36:02,400 Speaker 1: town hall meetings and zoom meetings you can attend and 579 00:36:02,560 --> 00:36:06,000 Speaker 1: see how they have brought this coalition together and are 580 00:36:06,200 --> 00:36:11,680 Speaker 1: having success in shifting the values literally of this entire city. 581 00:36:11,719 --> 00:36:14,440 Speaker 1: And they provide a great model for me, a viral justice. 582 00:36:15,000 --> 00:36:18,520 Speaker 1: Do you have any insight into how they are handling 583 00:36:18,840 --> 00:36:20,960 Speaker 1: some of the backlash to these moments. There was a 584 00:36:21,080 --> 00:36:26,680 Speaker 1: peak of people's budgets and participatory budgeting and shifting reallocating 585 00:36:26,800 --> 00:36:30,319 Speaker 1: resources away from policing into more community healing, which got 586 00:36:30,400 --> 00:36:33,560 Speaker 1: shortened somewhat unfortunately at times to defund the police, because 587 00:36:33,560 --> 00:36:36,799 Speaker 1: there was another side to that argument. Now that graffiti's 588 00:36:36,880 --> 00:36:39,120 Speaker 1: up and crimes up, and encampments are up, and some 589 00:36:39,239 --> 00:36:41,160 Speaker 1: people who might have been along for the ride are 590 00:36:41,239 --> 00:36:45,799 Speaker 1: no longer? Yes, How is the Solidarity Budget group there? 591 00:36:45,880 --> 00:36:48,120 Speaker 1: How are they dealing with that? Yeah? I can't speak 592 00:36:48,239 --> 00:36:50,560 Speaker 1: exactly to how they might be dealing with the backlash 593 00:36:50,800 --> 00:36:55,279 Speaker 1: in Seattle specifically, but what I've seen as effective is 594 00:36:55,400 --> 00:37:00,800 Speaker 1: people taking seriously this copaganda, these narratives about rising crime, 595 00:37:00,920 --> 00:37:05,200 Speaker 1: and taking issue with policing as a solution for crime, 596 00:37:05,320 --> 00:37:08,400 Speaker 1: which it's not because with inflated police budgets, the so 597 00:37:08,560 --> 00:37:12,960 Speaker 1: called crime rates, you know, like those things don't aren't correlating, 598 00:37:13,360 --> 00:37:17,279 Speaker 1: but also asking you know, what do we want to 599 00:37:17,440 --> 00:37:21,040 Speaker 1: invest in and taking issue with all of these scare 600 00:37:21,160 --> 00:37:24,000 Speaker 1: narratives around that. And so there's a number of people 601 00:37:24,080 --> 00:37:27,280 Speaker 1: both in terms of social media pushback but on the ground, 602 00:37:28,040 --> 00:37:30,719 Speaker 1: taking seriously the stories that are being told about our 603 00:37:30,760 --> 00:37:33,800 Speaker 1: cities and about why people are houseless or why people 604 00:37:33,840 --> 00:37:37,360 Speaker 1: are are precarious, and getting to the root of the 605 00:37:37,480 --> 00:37:40,320 Speaker 1: problem without thinking that policing are ever going to be 606 00:37:40,360 --> 00:37:44,440 Speaker 1: a solution to any of these. Do you have moments 607 00:37:44,760 --> 00:37:53,400 Speaker 1: of surrender or total exhaustion? And if so, how have 608 00:37:53,600 --> 00:37:57,200 Speaker 1: you pushed through them or moved beyond them or have 609 00:37:57,400 --> 00:38:01,600 Speaker 1: you Yes? So, I'm travert, as my friends know, and 610 00:38:01,719 --> 00:38:08,160 Speaker 1: so I am very careful to refuel, like as a 611 00:38:08,239 --> 00:38:10,600 Speaker 1: matter of survival. And so that has to do with 612 00:38:10,920 --> 00:38:12,920 Speaker 1: me person but it also has to do with thinking 613 00:38:13,040 --> 00:38:16,319 Speaker 1: about when I'm working in groups and collectives in terms 614 00:38:16,360 --> 00:38:18,960 Speaker 1: of you know, whether it's student groups or community groups, 615 00:38:19,360 --> 00:38:22,640 Speaker 1: like balancing the play and the policy, like you know, 616 00:38:22,760 --> 00:38:24,960 Speaker 1: we have to have that joy as much as we 617 00:38:25,120 --> 00:38:28,400 Speaker 1: do the anger. And so I think just in integrating 618 00:38:28,440 --> 00:38:30,759 Speaker 1: that has helped me sort of trug along like the 619 00:38:30,840 --> 00:38:34,279 Speaker 1: little engine that could. And I think, as I said, 620 00:38:34,320 --> 00:38:38,319 Speaker 1: working with young people and feeling like I can't give 621 00:38:38,400 --> 00:38:42,000 Speaker 1: them this gloom and doom diagnosis of what's ailing us 622 00:38:42,080 --> 00:38:45,040 Speaker 1: without offering with the other hand, like this is what 623 00:38:45,200 --> 00:38:47,120 Speaker 1: we can do about it, you know, this is how 624 00:38:47,200 --> 00:38:50,200 Speaker 1: people are already doing things about it. So for me 625 00:38:50,320 --> 00:38:52,680 Speaker 1: as an educator, especially at a place like Princeton, where 626 00:38:52,680 --> 00:38:57,080 Speaker 1: they're groomed to think of themselves as the solution to 627 00:38:57,440 --> 00:38:59,440 Speaker 1: all of the problems, like create an app for that, 628 00:38:59,560 --> 00:39:03,680 Speaker 1: creative new business for that, my mantra is find out 629 00:39:03,719 --> 00:39:08,239 Speaker 1: who's already working on that, Listen to them, collaborate with them, 630 00:39:08,960 --> 00:39:12,200 Speaker 1: learn from them, don't think of yourself as and so 631 00:39:12,400 --> 00:39:15,120 Speaker 1: that it actually is an antidote for burnout and depression. 632 00:39:15,160 --> 00:39:18,279 Speaker 1: Because you are working with people, you don't have to 633 00:39:18,360 --> 00:39:19,680 Speaker 1: do this, but you don't have to do it, and 634 00:39:19,760 --> 00:39:22,680 Speaker 1: you should not do this by yourself. And because that 635 00:39:22,880 --> 00:39:26,120 Speaker 1: is another kind of hubrist it, burnout and hubrist like, 636 00:39:26,480 --> 00:39:28,920 Speaker 1: you're not supposed to be doing all of that. Why 637 00:39:28,920 --> 00:39:30,840 Speaker 1: are you trying to fix a whole society? Please? You 638 00:39:30,920 --> 00:39:37,520 Speaker 1: can't create one by yourself. Sit down? Yes, If two 639 00:39:37,600 --> 00:39:40,280 Speaker 1: of you want to throw in a question or comment, 640 00:39:40,520 --> 00:39:42,480 Speaker 1: this is the time to shoot your hand up with no, 641 00:39:42,760 --> 00:39:47,160 Speaker 1: I see one? Anybody else want to get in the queue? Two? Okay, 642 00:39:47,800 --> 00:39:50,800 Speaker 1: then let's hear from you. Let's hear a name, a 643 00:39:50,920 --> 00:39:54,360 Speaker 1: geospatial reference as far as where you reside, as specific 644 00:39:54,480 --> 00:39:57,040 Speaker 1: or general as you like, and then your remark. Please. 645 00:39:57,760 --> 00:39:59,880 Speaker 1: My name is Bruce Traus. I live in New Jersey, 646 00:40:01,080 --> 00:40:04,520 Speaker 1: about forty minutes away from Princeton. I have a website 647 00:40:04,640 --> 00:40:08,160 Speaker 1: called One Common Purpose dot com. It's a holistic look 648 00:40:08,200 --> 00:40:13,880 Speaker 1: at life. Now talking about let's say racism, which I 649 00:40:14,040 --> 00:40:19,200 Speaker 1: call ending mistreatment, discrimination and hatred towards those who are 650 00:40:19,360 --> 00:40:25,240 Speaker 1: different nationality, different religion, different race, different ethnicity, and different 651 00:40:25,280 --> 00:40:29,799 Speaker 1: sexual irritation. There's aspects to that that I have never 652 00:40:29,920 --> 00:40:34,080 Speaker 1: heard disgust see the person each of us talks to 653 00:40:34,200 --> 00:40:37,799 Speaker 1: more than anyone else's oneself. There are things in life 654 00:40:38,040 --> 00:40:42,040 Speaker 1: that affect the person. Affected in person means you have 655 00:40:42,160 --> 00:40:44,640 Speaker 1: certain thoughts about certain things that have an impact on 656 00:40:44,719 --> 00:40:50,080 Speaker 1: your life. So a racist basically has anti thoughts that's 657 00:40:50,160 --> 00:40:52,120 Speaker 1: reinforced by a few other things. I don't want to 658 00:40:52,200 --> 00:40:56,400 Speaker 1: keep it going too long, but to me, getting to 659 00:40:56,520 --> 00:40:58,600 Speaker 1: people and there's a process to get to people when 660 00:40:58,600 --> 00:41:02,600 Speaker 1: they're younger so that they can understand aspects like that, 661 00:41:03,120 --> 00:41:05,960 Speaker 1: so that if somebody reads or sees or hears something, 662 00:41:06,520 --> 00:41:09,800 Speaker 1: they can withstand it because they understand what could happen 663 00:41:09,920 --> 00:41:15,120 Speaker 1: within their own mind. I accept your submission of a comment. 664 00:41:15,880 --> 00:41:17,680 Speaker 1: There was not a question mark at the end of it. 665 00:41:17,719 --> 00:41:19,200 Speaker 1: I don't think, but I want to thank you. Where 666 00:41:19,200 --> 00:41:22,840 Speaker 1: at such a limited time, Well, the question is what 667 00:41:23,000 --> 00:41:26,919 Speaker 1: do you think of that? Each of you? I don't 668 00:41:26,960 --> 00:41:31,520 Speaker 1: know man to be Yeah, you shared a lot, but 669 00:41:31,560 --> 00:41:33,800 Speaker 1: it was having a little hard time. Tracking and getting 670 00:41:33,800 --> 00:41:38,920 Speaker 1: to people younger and relationship with self feel like two 671 00:41:39,000 --> 00:41:41,080 Speaker 1: very important pieces of the puzzle. As I mentioned in 672 00:41:41,160 --> 00:41:44,960 Speaker 1: our principles. To start with having a connection with yourself 673 00:41:45,120 --> 00:41:47,840 Speaker 1: is very important, and I think on that score, so 674 00:41:48,040 --> 00:41:50,560 Speaker 1: it's important before you go out into the world. I 675 00:41:50,680 --> 00:41:52,879 Speaker 1: think a lot of young people actually feel a ton 676 00:41:52,920 --> 00:41:57,239 Speaker 1: of pressure right now to have positions and stances and 677 00:41:57,840 --> 00:42:02,560 Speaker 1: press conference ready statements about all kinds of complicated things 678 00:42:02,719 --> 00:42:06,040 Speaker 1: that they might be new to. And so there's I'd 679 00:42:06,080 --> 00:42:09,399 Speaker 1: like to apply some counter pressure or relief that says 680 00:42:09,440 --> 00:42:12,239 Speaker 1: it's okay not to know. I heard something on this 681 00:42:12,320 --> 00:42:14,960 Speaker 1: stage earlier today that the highest form of wisdom is 682 00:42:15,000 --> 00:42:18,560 Speaker 1: total uncertainty, and I was like, Oh, that's a that's 683 00:42:18,560 --> 00:42:20,680 Speaker 1: an ego check right there in terms of the value 684 00:42:20,680 --> 00:42:23,480 Speaker 1: of hubrists that rue I was just talking about. So 685 00:42:23,600 --> 00:42:26,320 Speaker 1: it's related, you know, to your operation and to your premise. 686 00:42:26,719 --> 00:42:28,560 Speaker 1: We can talk more later about it, but thank you 687 00:42:28,640 --> 00:42:31,040 Speaker 1: so much for the offering. I appreciate you. There was 688 00:42:31,120 --> 00:42:36,279 Speaker 1: one more, Yes, you do because we're behind you. Yeah, 689 00:42:36,280 --> 00:42:39,760 Speaker 1: they're surrounding You're being surveilled. Super quick question, doctor Benjamin. 690 00:42:39,800 --> 00:42:43,000 Speaker 1: Have been following your work so so impressive. What would 691 00:42:43,000 --> 00:42:46,239 Speaker 1: you like to be doing that you're not doing right now? 692 00:42:47,520 --> 00:42:54,560 Speaker 1: And you can't say sleeping introverting um. Well, in addition 693 00:42:54,600 --> 00:42:58,240 Speaker 1: to Viral Justice, I just finished another short book that'll 694 00:42:58,239 --> 00:43:01,520 Speaker 1: be out in a year or two on imagination, and 695 00:43:01,719 --> 00:43:07,040 Speaker 1: so it's called Imagination a Manifesto, And I would love 696 00:43:07,360 --> 00:43:11,720 Speaker 1: to build out this space of creativity not just with students, 697 00:43:11,760 --> 00:43:15,440 Speaker 1: but with artists and to really do some world building 698 00:43:15,840 --> 00:43:19,160 Speaker 1: with colleagues and with people who I respect. And so 699 00:43:19,280 --> 00:43:22,680 Speaker 1: it would be taking this in a more creative way 700 00:43:22,760 --> 00:43:24,960 Speaker 1: and putting into practice some of the ideas that I'm 701 00:43:25,000 --> 00:43:27,960 Speaker 1: working on on that Imagination book. I want to follow 702 00:43:28,040 --> 00:43:32,759 Speaker 1: up on that one. Yeah, So imagining new worlds and 703 00:43:33,400 --> 00:43:36,600 Speaker 1: practicing imagination something that we do naturally as children and 704 00:43:36,760 --> 00:43:39,359 Speaker 1: get kind of trained out of us as we grow. 705 00:43:40,040 --> 00:43:44,960 Speaker 1: Do you have any brief hacks, approaches, tools to just 706 00:43:45,080 --> 00:43:48,359 Speaker 1: get us to flex our imagination muscles more. Yeah, that's 707 00:43:48,480 --> 00:43:55,160 Speaker 1: chapter five. It's called the Imagination Incubator. So there are 708 00:43:55,200 --> 00:43:59,000 Speaker 1: lots of prompts and activities and things because it is 709 00:43:59,040 --> 00:44:02,280 Speaker 1: a muscle. It's something that we have to practice, especially 710 00:44:02,360 --> 00:44:06,719 Speaker 1: in collectives, because then our imagination gets challenged. So the 711 00:44:06,840 --> 00:44:09,799 Speaker 1: key sort of thread in the book is that imagination 712 00:44:09,960 --> 00:44:13,240 Speaker 1: isn't a straightforward good. We are in many ways living 713 00:44:13,440 --> 00:44:17,879 Speaker 1: in a eugenics imagination, a techno utopian imagination. We're living 714 00:44:17,920 --> 00:44:21,920 Speaker 1: in imagination not of our own design, and so imaginations 715 00:44:22,000 --> 00:44:24,759 Speaker 1: can be corrupting and limiting. And so part of it 716 00:44:24,920 --> 00:44:26,759 Speaker 1: is when we work in groups. Then we can see 717 00:44:26,920 --> 00:44:29,880 Speaker 1: the edges of our own imagination. We can try to 718 00:44:30,000 --> 00:44:32,440 Speaker 1: broaden the imagination in which all of us can flourish. 719 00:44:32,520 --> 00:44:35,239 Speaker 1: But we can also see the ways that our imagination 720 00:44:35,440 --> 00:44:39,680 Speaker 1: is infected with these really old, deep seated ideas about 721 00:44:39,760 --> 00:44:45,959 Speaker 1: human hierarchy and superiority and inferiority. And so the goal 722 00:44:46,120 --> 00:44:50,120 Speaker 1: is to take imagination seriously as a terrain of struggle. 723 00:44:50,600 --> 00:44:52,880 Speaker 1: So when I say creativity, I don't just mean the 724 00:44:53,000 --> 00:44:55,719 Speaker 1: literal arts. I mean all of the ways in which 725 00:44:55,840 --> 00:45:01,279 Speaker 1: we are creators. We shouldn't simply submit to the designs 726 00:45:01,400 --> 00:45:04,279 Speaker 1: that we're inhabiting, and we don't have to wait to 727 00:45:04,480 --> 00:45:07,759 Speaker 1: be billionaires to be able to create something new. Like 728 00:45:07,880 --> 00:45:10,080 Speaker 1: I'm a student of Octavia Butler. You know, when you 729 00:45:10,160 --> 00:45:12,840 Speaker 1: go and you look at her papers at the Huntington Library, 730 00:45:13,600 --> 00:45:15,720 Speaker 1: one of the things you see in her own notes 731 00:45:16,080 --> 00:45:18,759 Speaker 1: before you even think about her work that's public, her 732 00:45:18,840 --> 00:45:22,360 Speaker 1: stories and so on, you see her notes to herself 733 00:45:22,520 --> 00:45:25,839 Speaker 1: in the margins of her notebooks, where she's building her 734 00:45:25,880 --> 00:45:28,400 Speaker 1: own life, like she's saying I will be a New 735 00:45:28,480 --> 00:45:31,440 Speaker 1: York Times bestseller. I will have millions of people. This 736 00:45:31,560 --> 00:45:33,600 Speaker 1: is before when she was riding the bus to work 737 00:45:33,640 --> 00:45:36,359 Speaker 1: at a potato chip factory, you know. And so part 738 00:45:36,400 --> 00:45:39,640 Speaker 1: of it is her on the one hand, really thinking 739 00:45:39,680 --> 00:45:42,279 Speaker 1: about her own agency in her own life. But it's 740 00:45:42,320 --> 00:45:45,400 Speaker 1: also that you see her studying scholarship, You see her 741 00:45:45,719 --> 00:45:49,520 Speaker 1: making notes about the headlines medical sociology, and so she 742 00:45:49,800 --> 00:45:52,239 Speaker 1: ends up writing these stories. But it's based on a 743 00:45:52,400 --> 00:45:56,719 Speaker 1: deep research and understanding, so understanding the porousness across these 744 00:45:56,760 --> 00:45:59,640 Speaker 1: different fields that were gathered here in and to take 745 00:45:59,840 --> 00:46:05,560 Speaker 1: agency back away from these, you know, these overdetermined ideas 746 00:46:05,640 --> 00:46:09,560 Speaker 1: about power and inequality that we inhabit and infect our institutions, 747 00:46:09,640 --> 00:46:13,720 Speaker 1: and beginning to seed something different now yesterday, seed something 748 00:46:13,920 --> 00:46:19,560 Speaker 1: like justice, justice and joy and joy. Oh. I want 749 00:46:19,560 --> 00:46:22,719 Speaker 1: to keep talking, but we can't take justice and joy 750 00:46:22,800 --> 00:46:28,040 Speaker 1: with you. Spread it. Thank you so much, Rouha Benjamin. 751 00:46:31,560 --> 00:46:34,400 Speaker 1: It should be pretty obvious that Ruha and I share 752 00:46:34,600 --> 00:46:36,759 Speaker 1: a point of view, and I just find her to 753 00:46:36,840 --> 00:46:40,560 Speaker 1: be healing and grounded and even humble, and how she 754 00:46:40,680 --> 00:46:44,240 Speaker 1: practices what she preaches, even as a Princeton University professor 755 00:46:44,320 --> 00:46:47,400 Speaker 1: who moderates panels of south By Southwest. I find her 756 00:46:47,440 --> 00:46:50,840 Speaker 1: work to be so relevant because technology is increasingly relevant 757 00:46:50,840 --> 00:46:54,600 Speaker 1: to our experience of democracy, and I want a democracy 758 00:46:54,680 --> 00:46:57,440 Speaker 1: that we also build with people and not for them, 759 00:46:57,800 --> 00:47:00,239 Speaker 1: because the one we're inside right now was built for 760 00:47:01,000 --> 00:47:04,600 Speaker 1: and buy a very small group of people. When Ruha 761 00:47:04,719 --> 00:47:08,399 Speaker 1: says that we've been living inside someone else's imagination, She's right. 762 00:47:09,200 --> 00:47:13,279 Speaker 1: We've been living inside this eugenics imagination, and we have 763 00:47:13,440 --> 00:47:17,880 Speaker 1: to reimagine ourselves out of it, democratically and technologically so 764 00:47:18,040 --> 00:47:21,279 Speaker 1: we can live inside something better. I'm not just talking 765 00:47:21,320 --> 00:47:25,160 Speaker 1: about widgets and databases and code. I'm talking about social 766 00:47:25,239 --> 00:47:28,440 Speaker 1: technologies that define how we interact with each other and 767 00:47:28,560 --> 00:47:32,160 Speaker 1: even how we envision and understand what democracy is, who 768 00:47:32,239 --> 00:47:37,080 Speaker 1: it serves, and how we experience it. Ruha, She's all 769 00:47:37,160 --> 00:47:42,040 Speaker 1: about prototyping new relationships with technology, with the community, with 770 00:47:42,160 --> 00:47:45,960 Speaker 1: our colleagues, and that investment in relationships, that understanding of 771 00:47:46,040 --> 00:47:49,880 Speaker 1: how those relationships relate to power. They're two of the 772 00:47:49,960 --> 00:47:52,719 Speaker 1: core principles of how the citizen and when it comes 773 00:47:52,719 --> 00:47:55,359 Speaker 1: to the progress we're trying to make in our workplaces, 774 00:47:55,400 --> 00:47:59,040 Speaker 1: our neighborhoods, our families. Ruha stresses that it's as much 775 00:47:59,080 --> 00:48:02,400 Speaker 1: about the process as it is about the outcomes, because 776 00:48:02,440 --> 00:48:04,919 Speaker 1: if the ways we're working to improve things don't feel 777 00:48:05,000 --> 00:48:07,480 Speaker 1: good or loving, how can we be sure we're headed 778 00:48:07,520 --> 00:48:10,480 Speaker 1: in the right direction. Maybe by taking our lead from 779 00:48:10,520 --> 00:48:13,560 Speaker 1: Ruha and working to be careful with each other, we 780 00:48:13,719 --> 00:48:23,399 Speaker 1: can be dangerous together against these systems too. I really 781 00:48:23,480 --> 00:48:27,640 Speaker 1: hope you check out Race After Technology Abolitionist Tools for 782 00:48:27,760 --> 00:48:31,600 Speaker 1: the New Gym Code, along with Ruha's latest book, Viral Justice, 783 00:48:31,840 --> 00:48:34,520 Speaker 1: How We Grow the World We Won. It's full of 784 00:48:34,600 --> 00:48:37,440 Speaker 1: great examples of how we can bring democracy and collective 785 00:48:37,480 --> 00:48:40,160 Speaker 1: decision making to our use of technology and to our 786 00:48:40,200 --> 00:48:43,359 Speaker 1: imaginations of the world we can live in. And if 787 00:48:43,400 --> 00:48:45,960 Speaker 1: you'd like to take a stroll through Brihanna's Garden, I 788 00:48:46,120 --> 00:48:50,040 Speaker 1: highly recommend it. Download the AAR Experience for free in 789 00:48:50,120 --> 00:48:53,120 Speaker 1: the app Store or head over to Brihanna's Garden dot 790 00:48:53,160 --> 00:48:56,920 Speaker 1: com and check out the creator, Lady Phoenix's work on Instagram. 791 00:48:57,280 --> 00:49:03,360 Speaker 1: She's at Yes Lady Phoenix In the show notes, we 792 00:49:03,520 --> 00:49:06,680 Speaker 1: always have actions you can take after listening to each episode. 793 00:49:07,080 --> 00:49:09,960 Speaker 1: We give you options to go inwards and feel into 794 00:49:09,960 --> 00:49:13,320 Speaker 1: the material to become more knowledgeable, or to get involved 795 00:49:13,360 --> 00:49:16,879 Speaker 1: with others to make an impact. For this episode, we've 796 00:49:16,960 --> 00:49:20,160 Speaker 1: provided a suggestion for internal reflection that reminds us how 797 00:49:20,239 --> 00:49:23,480 Speaker 1: witnessing others protective acts like standing up for each other 798 00:49:23,719 --> 00:49:26,839 Speaker 1: can have large ripple effects. We've also shared two book 799 00:49:26,880 --> 00:49:31,920 Speaker 1: recommendations from Ruha, The New Jim Crow and rest Is Resistance. 800 00:49:32,600 --> 00:49:34,680 Speaker 1: You can find links to both these books and many 801 00:49:34,760 --> 00:49:38,000 Speaker 1: more from past episodes at bookshop dot org, slash shop, 802 00:49:38,200 --> 00:49:40,800 Speaker 1: slash how to Citizen, and if you're in the US, 803 00:49:41,040 --> 00:49:43,480 Speaker 1: We've found several ways you can plug into your community 804 00:49:43,680 --> 00:49:48,080 Speaker 1: with your existing skills and volunteer. These groups take the 805 00:49:48,120 --> 00:49:50,480 Speaker 1: guesswork out of how to get involved on issues you 806 00:49:50,600 --> 00:49:53,960 Speaker 1: care about. Don't wait, sign up for something, and meet 807 00:49:53,960 --> 00:50:05,160 Speaker 1: your neighbors. If you take any of these actions, please 808 00:50:05,239 --> 00:50:09,000 Speaker 1: brag about it online and use the hashtag how to Citizen. 809 00:50:09,320 --> 00:50:13,080 Speaker 1: Also tag our Instagram how to Citizen. I am always 810 00:50:13,120 --> 00:50:15,560 Speaker 1: online and I really do see your messages, so sender. 811 00:50:16,160 --> 00:50:18,960 Speaker 1: You can also visit our website, howard to citizen dot com, 812 00:50:19,320 --> 00:50:24,360 Speaker 1: which has all of our shows, full transcripts, actions, and more. Finally, 813 00:50:24,680 --> 00:50:28,120 Speaker 1: see this episode show notes for resources, actions and more 814 00:50:28,200 --> 00:50:32,200 Speaker 1: ways to connect how to Citizen with barrettun Day is 815 00:50:32,200 --> 00:50:36,000 Speaker 1: a production of iHeartRadio Podcasts and Row Home Productions. Our 816 00:50:36,040 --> 00:50:40,200 Speaker 1: executive producers are Me barrettun Day, Thurston and Elizabeth Stewart. 817 00:50:40,520 --> 00:50:44,279 Speaker 1: Our lead producer is Ali Graham, Our associate producer is 818 00:50:44,360 --> 00:50:48,239 Speaker 1: Donya abdel Hamid. Alex Lewis is our managing producer, and 819 00:50:48,440 --> 00:50:52,680 Speaker 1: John Myers is our executive editor and mix engineer. Original 820 00:50:52,800 --> 00:50:56,440 Speaker 1: music by Andrew Eapen with additional music by Blue Dot Sessions. 821 00:50:56,920 --> 00:51:00,480 Speaker 1: Special thanks to Joel Smith from iHeartRadio and La Labina. 822 00:51:08,320 --> 00:51:11,920 Speaker 1: Next time on how to citizen Building relationships with the 823 00:51:11,960 --> 00:51:14,920 Speaker 1: people we're looking to help is vital. But what if 824 00:51:15,000 --> 00:51:17,120 Speaker 1: you feel so at odds with the people in your 825 00:51:17,160 --> 00:51:20,560 Speaker 1: community that you can barely talk, let alone work together. 826 00:51:20,880 --> 00:51:23,279 Speaker 1: And what if you also think they are out to 827 00:51:23,480 --> 00:51:28,840 Speaker 1: destroy you? Deepening identity based polarization is happening in this country. 828 00:51:29,239 --> 00:51:32,280 Speaker 1: The good news is a lot of that is built 829 00:51:32,880 --> 00:51:34,960 Speaker 1: on a lot of false perceptions of the other side. 830 00:51:35,320 --> 00:51:39,080 Speaker 1: And so, for example, on several big issues, Democrats and 831 00:51:39,200 --> 00:51:42,960 Speaker 1: Republicans misperceive the position of the other by fifty percent. 832 00:51:43,320 --> 00:51:45,000 Speaker 1: And then you ask how much you think the other 833 00:51:45,080 --> 00:51:49,400 Speaker 1: side dehumanizes you, It's off by fifty percent. And so 834 00:51:49,560 --> 00:51:55,279 Speaker 1: what's happening is these metamsperceptions are adding fuel to how 835 00:51:55,360 --> 00:51:58,120 Speaker 1: we think about the other side in this country. Conflict 836 00:51:58,200 --> 00:52:01,120 Speaker 1: resolution expert Tim Phillips tells us how to be in 837 00:52:01,200 --> 00:52:04,680 Speaker 1: community with people we really disagree with, and the risks 838 00:52:04,760 --> 00:52:17,600 Speaker 1: of letting our growing nationwide division persist row home productions