1 00:00:01,680 --> 00:00:05,280 Speaker 1: Tens of millions of Americans depend on food assistants and 2 00:00:05,480 --> 00:00:09,520 Speaker 1: other social programs to feed their families and make ends meet. 3 00:00:09,800 --> 00:00:12,720 Speaker 1: And yet state budgets, which we know are under a 4 00:00:12,800 --> 00:00:16,239 Speaker 1: lot of strain these days, don't always set aside much 5 00:00:16,320 --> 00:00:19,279 Speaker 1: money to help people stay up to date on all 6 00:00:19,320 --> 00:00:22,560 Speaker 1: the paperwork the government requires for them to keep those 7 00:00:22,600 --> 00:00:26,160 Speaker 1: benefits coming. So people wind up getting kicked off for 8 00:00:26,239 --> 00:00:30,080 Speaker 1: no other reason than they just didn't know. This is 9 00:00:30,120 --> 00:00:33,800 Speaker 1: a big problem for the families who suddenly can't afford food, 10 00:00:34,280 --> 00:00:37,479 Speaker 1: and also for states that have to spend time and 11 00:00:37,680 --> 00:00:41,400 Speaker 1: millions of dollars signing them back up. If you're thinking 12 00:00:41,440 --> 00:00:45,279 Speaker 1: to yourself, there has got to be a better way, well, 13 00:00:45,320 --> 00:00:49,199 Speaker 1: in fact, there is. Bloomberg BusinessWeek contributor Bryce Covert is 14 00:00:49,240 --> 00:00:52,920 Speaker 1: here with the story of a nonprofit called Code for America. 15 00:00:53,520 --> 00:00:56,640 Speaker 1: It works with states to make navigating these benefit programs 16 00:00:56,840 --> 00:00:58,000 Speaker 1: less of a hassle. 17 00:00:58,440 --> 00:01:01,400 Speaker 2: Anything that can get rid of some of those frictions 18 00:01:01,480 --> 00:01:03,640 Speaker 2: is something that they're trying to eliminate, so it's just 19 00:01:03,720 --> 00:01:05,679 Speaker 2: an easy, easy process. 20 00:01:05,560 --> 00:01:09,280 Speaker 1: And a little later, Code for America's Genevieve Miller talks 21 00:01:09,319 --> 00:01:13,800 Speaker 1: about the challenge of marrying new digital tools to old 22 00:01:13,920 --> 00:01:15,319 Speaker 1: analog bureaucracies. 23 00:01:15,720 --> 00:01:19,880 Speaker 3: We're working to transform the social safety net by using 24 00:01:20,040 --> 00:01:23,520 Speaker 3: human centered technology to remove barriers to public benefits. 25 00:01:28,920 --> 00:01:32,000 Speaker 1: I'm Wescasova today on the Big Take. They're from the 26 00:01:32,040 --> 00:01:44,360 Speaker 1: government and they're here to help Bryce. Tell us about 27 00:01:44,440 --> 00:01:46,360 Speaker 1: Code for America. What does it do. 28 00:01:47,040 --> 00:01:51,280 Speaker 2: It's a nonprofit and their mission is basically to help 29 00:01:51,320 --> 00:01:54,600 Speaker 2: state governments make it easier for people to get the 30 00:01:54,600 --> 00:01:58,520 Speaker 2: benefits that they're already eligible for. Just because you might 31 00:01:58,600 --> 00:02:02,480 Speaker 2: be eligible for foods damps or for medicaid doesn't mean 32 00:02:03,000 --> 00:02:05,240 Speaker 2: it's an easy process to get it or to hold 33 00:02:05,280 --> 00:02:07,320 Speaker 2: on to it in a lot of places. And so 34 00:02:08,080 --> 00:02:10,720 Speaker 2: they are focused on working on the tech side of 35 00:02:10,760 --> 00:02:13,440 Speaker 2: things so that when you go to apply, when you 36 00:02:13,480 --> 00:02:16,920 Speaker 2: go to renew, it's a smoother process that works on 37 00:02:16,960 --> 00:02:20,520 Speaker 2: your cell phone, it's translated into whatever your native language is, 38 00:02:20,560 --> 00:02:23,920 Speaker 2: and then you're able to actually get the assistance that 39 00:02:23,960 --> 00:02:25,680 Speaker 2: you deserve to help you survive. 40 00:02:26,919 --> 00:02:30,359 Speaker 1: And so people who aren't on public assistants probably don't 41 00:02:30,440 --> 00:02:33,360 Speaker 1: know that there's just an endless amount that you have 42 00:02:33,440 --> 00:02:35,560 Speaker 1: to do to keep it up. You have to reapply, 43 00:02:35,720 --> 00:02:37,920 Speaker 1: you have to hit deadlines, there's a lot of paperwork. 44 00:02:37,960 --> 00:02:42,240 Speaker 1: You imagine the government bureaucracy, and so this is aimed 45 00:02:42,280 --> 00:02:44,359 Speaker 1: at just making that a whole lot easier. 46 00:02:44,919 --> 00:02:48,320 Speaker 2: Yeah, I think their ideal is that the process takes 47 00:02:48,360 --> 00:02:52,919 Speaker 2: you maybe ten minutes, and for most people where the 48 00:02:53,160 --> 00:02:56,560 Speaker 2: norm is operating, it can be hours of paperwork. And 49 00:02:56,840 --> 00:03:00,120 Speaker 2: they do that by putting things online. They do that 50 00:03:00,280 --> 00:03:02,959 Speaker 2: by making the language easier to understand. A lot of 51 00:03:02,960 --> 00:03:06,600 Speaker 2: these forms are in very like technical jargon ey language. 52 00:03:06,600 --> 00:03:09,680 Speaker 2: It's really hard to decipher. Again, they translate it into 53 00:03:09,720 --> 00:03:13,240 Speaker 2: Spanish or to even other languages. They make it mobile friendly. 54 00:03:13,639 --> 00:03:15,399 Speaker 2: They make it so that maybe you don't even need 55 00:03:15,440 --> 00:03:17,200 Speaker 2: a password, you could use a pin because a lot 56 00:03:17,200 --> 00:03:19,920 Speaker 2: of people struggle with having an email address or a password. 57 00:03:20,320 --> 00:03:23,239 Speaker 2: Anything that can get rid of some of those frictions 58 00:03:23,360 --> 00:03:25,480 Speaker 2: is something that they're trying to eliminate. So it's just 59 00:03:25,560 --> 00:03:27,040 Speaker 2: an easy, easy process. 60 00:03:27,520 --> 00:03:29,880 Speaker 1: And so they are not a government organization. What they 61 00:03:29,919 --> 00:03:32,480 Speaker 1: do is they try to get governments to work with them. 62 00:03:33,040 --> 00:03:35,400 Speaker 2: Right, they're a nonprofit and what they do is they 63 00:03:35,400 --> 00:03:37,960 Speaker 2: partner with the governments and they are very much about 64 00:03:37,960 --> 00:03:42,000 Speaker 2: working together. Basically, the landscape sort of pre code for 65 00:03:42,080 --> 00:03:44,240 Speaker 2: America is that there are a bunch of vendors that 66 00:03:44,280 --> 00:03:49,840 Speaker 2: specialize in these benefit delivery technology services, and the vendor 67 00:03:49,880 --> 00:03:52,440 Speaker 2: will be hired to say, build a website where you 68 00:03:52,480 --> 00:03:54,640 Speaker 2: can apply for SNAP. But then the vendor goes off 69 00:03:54,640 --> 00:03:57,400 Speaker 2: and sort of does all the work, delivers this product, 70 00:03:57,680 --> 00:04:00,880 Speaker 2: and then the state government hands it over and says, okay, 71 00:04:00,920 --> 00:04:02,840 Speaker 2: people come apply, and if they want to update it, 72 00:04:02,880 --> 00:04:04,360 Speaker 2: they have to go back to the vendor and say, hey, 73 00:04:04,400 --> 00:04:06,800 Speaker 2: can you change this little thing, and then the vendor 74 00:04:06,840 --> 00:04:08,880 Speaker 2: has to go through the process, and so it's very 75 00:04:08,920 --> 00:04:13,000 Speaker 2: hard to update technology, and it means that the state 76 00:04:13,040 --> 00:04:17,320 Speaker 2: government employees don't have ownership over it, maybe don't understand 77 00:04:17,400 --> 00:04:20,000 Speaker 2: the systems that they're working with. Code for America is 78 00:04:20,120 --> 00:04:23,120 Speaker 2: very much about coming in and learning from the state 79 00:04:23,160 --> 00:04:26,680 Speaker 2: government employees, learning also from the people who use these 80 00:04:26,680 --> 00:04:30,239 Speaker 2: systems themselves to understand how they work, how they don't work, 81 00:04:30,520 --> 00:04:33,200 Speaker 2: and then working with everyone in a really collaborative way. 82 00:04:33,240 --> 00:04:37,080 Speaker 2: And ultimately every project they aim to hand over completely 83 00:04:37,080 --> 00:04:39,279 Speaker 2: to the state government so that they can keep building 84 00:04:39,320 --> 00:04:41,320 Speaker 2: on it and they can just fully own it and 85 00:04:41,680 --> 00:04:44,560 Speaker 2: use it for whatever purposes they think are the right purposes. 86 00:04:45,279 --> 00:04:48,320 Speaker 1: So you got to watch them in action as they 87 00:04:48,320 --> 00:04:51,600 Speaker 1: were trying to put together a program in a state. 88 00:04:51,800 --> 00:04:54,160 Speaker 1: How did that work? Just tell us what do they 89 00:04:54,160 --> 00:04:57,320 Speaker 1: do when they contract with the state to provide their services. 90 00:04:57,760 --> 00:05:00,360 Speaker 2: Sure, so I got to watch and sort of ride 91 00:05:00,520 --> 00:05:02,760 Speaker 2: as they were helping the state of Connecticut in their 92 00:05:02,800 --> 00:05:07,160 Speaker 2: SNAP program, their food benefit program specifically roll out texting 93 00:05:07,240 --> 00:05:10,159 Speaker 2: for the first time, and the first pilot, which is 94 00:05:10,160 --> 00:05:12,320 Speaker 2: basically the part of it that I got to see, 95 00:05:12,640 --> 00:05:15,599 Speaker 2: was just to text people when it was time to 96 00:05:15,680 --> 00:05:18,359 Speaker 2: renew their benefits so that they didn't forget. And the 97 00:05:18,400 --> 00:05:20,640 Speaker 2: text would also include a link to the website where 98 00:05:20,680 --> 00:05:22,400 Speaker 2: they can renew, to try to urge them to do 99 00:05:22,440 --> 00:05:23,200 Speaker 2: it online. 100 00:05:23,520 --> 00:05:26,640 Speaker 1: So, in Connecticut, how does your work? You get SNAP 101 00:05:26,680 --> 00:05:28,839 Speaker 1: benefits and sort of like what happens? 102 00:05:29,320 --> 00:05:32,560 Speaker 2: So you enroll the first time, and then every six 103 00:05:32,600 --> 00:05:35,520 Speaker 2: months or so, unless you aren't in an exempt category, 104 00:05:35,640 --> 00:05:37,920 Speaker 2: you have to renew in order to keep your benefits, 105 00:05:37,960 --> 00:05:40,520 Speaker 2: which means that the paperwork is lighter, but you still 106 00:05:40,560 --> 00:05:42,880 Speaker 2: have to do it on a regular basis, basically to 107 00:05:43,000 --> 00:05:45,320 Speaker 2: tell the state whether your income has changed, or you 108 00:05:45,360 --> 00:05:47,360 Speaker 2: have a kid at home or maybe a kid left, 109 00:05:47,560 --> 00:05:50,680 Speaker 2: and a lot of people actually lose their benefits at 110 00:05:50,680 --> 00:05:54,159 Speaker 2: that point. Nationally, there is a lot of what's called 111 00:05:54,240 --> 00:05:57,520 Speaker 2: churn when people have to renew and reapply, and it's 112 00:05:57,560 --> 00:06:00,360 Speaker 2: not because they're not eligible, it's because they get tripped 113 00:06:00,440 --> 00:06:03,159 Speaker 2: up by the paperwork, the deadlines, all of that. 114 00:06:04,440 --> 00:06:07,799 Speaker 1: If somebody has kicked off the rolls, are people going 115 00:06:07,839 --> 00:06:10,559 Speaker 1: for long periods of time without being able to buy food? 116 00:06:11,080 --> 00:06:12,960 Speaker 2: It depends on, first of all, just the process the 117 00:06:12,960 --> 00:06:14,800 Speaker 2: state has already set up. You know, how long is 118 00:06:14,839 --> 00:06:17,120 Speaker 2: the paperwork and how long is the approval process, and 119 00:06:17,160 --> 00:06:18,960 Speaker 2: that's going to vary a lot. And then it also 120 00:06:19,000 --> 00:06:21,680 Speaker 2: just sort of depends on how quickly are you able 121 00:06:21,680 --> 00:06:23,600 Speaker 2: to get it together to get that paperwork done again. 122 00:06:23,640 --> 00:06:26,039 Speaker 2: You know, I spoke to a woman in Connecticut who 123 00:06:26,200 --> 00:06:29,480 Speaker 2: has to get doctor's notes for her SNAP and her 124 00:06:29,720 --> 00:06:33,480 Speaker 2: cash welfare renewal forms, and she doesn't have a car, 125 00:06:33,880 --> 00:06:36,200 Speaker 2: and it's hours on a bus to go see those 126 00:06:36,240 --> 00:06:38,200 Speaker 2: doctors and then get them to fax it in, and 127 00:06:38,240 --> 00:06:40,000 Speaker 2: they don't always fax it in time, and so she 128 00:06:40,040 --> 00:06:43,480 Speaker 2: went a couple weeks recently without her food stamp benefits, 129 00:06:43,880 --> 00:06:46,400 Speaker 2: and then she went months without her cash welfare benefits, 130 00:06:46,400 --> 00:06:48,720 Speaker 2: and that for her is missed meals, and then the 131 00:06:48,880 --> 00:06:51,360 Speaker 2: missed cash is missed rent payments, and she had to 132 00:06:51,400 --> 00:06:54,840 Speaker 2: go to her family, who also don't have many resources 133 00:06:54,880 --> 00:06:57,120 Speaker 2: and ask to borrow money. So that's I think a 134 00:06:57,200 --> 00:06:59,960 Speaker 2: very typical story where maybe you get on in a 135 00:07:00,000 --> 00:07:01,440 Speaker 2: couple of weeks, maybe you get back on in a 136 00:07:01,440 --> 00:07:05,719 Speaker 2: couple months, but that's pretty dire for someone who doesn't 137 00:07:05,760 --> 00:07:08,200 Speaker 2: have a lot of cushion to fall back on, and 138 00:07:08,360 --> 00:07:12,200 Speaker 2: that actually comes at a huge cost because they later 139 00:07:12,280 --> 00:07:16,280 Speaker 2: get back on, usually hopefully to reapply right, but then 140 00:07:16,480 --> 00:07:19,360 Speaker 2: a caseworker has to first of all take them off, 141 00:07:19,760 --> 00:07:21,280 Speaker 2: then put them back on, and they have to go 142 00:07:21,320 --> 00:07:23,680 Speaker 2: through that whole system again, whereas if they had just 143 00:07:23,760 --> 00:07:26,120 Speaker 2: gotten through the first time around with the first round 144 00:07:26,200 --> 00:07:28,520 Speaker 2: of paperwork, everyone would have been saved a lot of 145 00:07:28,560 --> 00:07:31,000 Speaker 2: time and hassle. So it is it's a really big 146 00:07:31,040 --> 00:07:34,920 Speaker 2: problem for the state for that outlay of resources. They 147 00:07:34,920 --> 00:07:37,880 Speaker 2: were able to calculate what that actually costs and dollars. 148 00:07:38,240 --> 00:07:41,080 Speaker 2: In Illinois, for example, it was three point nine million 149 00:07:41,120 --> 00:07:44,360 Speaker 2: dollars a year, and that's a net cost because while 150 00:07:44,400 --> 00:07:47,080 Speaker 2: the state saved some money perhaps by some people losing 151 00:07:47,120 --> 00:07:49,720 Speaker 2: benefits and then walking away or maybe they really weren't 152 00:07:49,760 --> 00:07:54,120 Speaker 2: eligible anymore, the cost to actually get everybody back on 153 00:07:54,320 --> 00:07:57,800 Speaker 2: who was in fact still eligible, was far more than 154 00:07:57,840 --> 00:08:00,480 Speaker 2: what was saved by kicking some people off. And then, 155 00:08:00,520 --> 00:08:03,640 Speaker 2: of course it's a huge problem for people with constantly 156 00:08:03,680 --> 00:08:07,800 Speaker 2: losing access to things that keep them alive food, health, insurance, 157 00:08:08,280 --> 00:08:11,840 Speaker 2: housing subsidies. You know, these are really basic things that 158 00:08:11,880 --> 00:08:14,840 Speaker 2: people need for survival that they're losing here and there 159 00:08:14,920 --> 00:08:16,160 Speaker 2: because of paperwork castles. 160 00:08:16,560 --> 00:08:18,480 Speaker 1: All right, So they come in and they set up 161 00:08:18,480 --> 00:08:22,080 Speaker 1: a system where all the people who are on food assistance, 162 00:08:22,560 --> 00:08:25,680 Speaker 1: when the deadline is coming up, they get a text, right, 163 00:08:26,040 --> 00:08:27,800 Speaker 1: and what does the text say? Like, how does sending 164 00:08:27,840 --> 00:08:30,800 Speaker 1: out a text suddenly make it much easier for somebody 165 00:08:30,840 --> 00:08:31,600 Speaker 1: to renew? 166 00:08:32,120 --> 00:08:35,520 Speaker 2: Every little piece of this process took a lot of work, 167 00:08:35,679 --> 00:08:38,239 Speaker 2: And that was what was so fascinating about watching it firsthand, 168 00:08:38,360 --> 00:08:41,480 Speaker 2: is that it's a small thing, right, just sending a 169 00:08:41,559 --> 00:08:44,000 Speaker 2: text to remind to renew, and yet it took months 170 00:08:44,000 --> 00:08:46,959 Speaker 2: of work, a lot of cooks in the kitchen and 171 00:08:47,040 --> 00:08:49,079 Speaker 2: something as small as a text message. You know, you 172 00:08:49,120 --> 00:08:52,600 Speaker 2: don't have a lot of space, so every single world counts. 173 00:08:52,679 --> 00:08:56,800 Speaker 2: And they also really thought very intentionally about every one 174 00:08:56,800 --> 00:08:59,440 Speaker 2: of those words. You know, do Connecticut residents call it 175 00:09:00,040 --> 00:09:02,079 Speaker 2: food stamps? Do they call it snap, Do they call 176 00:09:02,080 --> 00:09:04,800 Speaker 2: it EBT, which is like a little bit outdated. Do 177 00:09:04,840 --> 00:09:07,320 Speaker 2: they call it the Connecticut Department of Social Services? Do 178 00:09:07,360 --> 00:09:10,360 Speaker 2: they call it DSS. Can the text message be sent 179 00:09:10,400 --> 00:09:12,640 Speaker 2: from a short code or will people think that's a scam? 180 00:09:12,720 --> 00:09:15,800 Speaker 2: So they worked on every little bit of this, you know, 181 00:09:16,400 --> 00:09:18,240 Speaker 2: down to the wire. Right before they were supposed to 182 00:09:18,240 --> 00:09:20,520 Speaker 2: send the text. There was a question of is this 183 00:09:20,640 --> 00:09:23,400 Speaker 2: comma in the message going to screw up the URL, 184 00:09:23,520 --> 00:09:25,520 Speaker 2: so they had to move a comma. You know, they 185 00:09:25,559 --> 00:09:27,880 Speaker 2: were really fine tuning it. But in the end the 186 00:09:27,920 --> 00:09:31,800 Speaker 2: message basically said, you know, dear first name, and it 187 00:09:31,880 --> 00:09:34,200 Speaker 2: included the last four numbers of their case ID so 188 00:09:34,240 --> 00:09:37,920 Speaker 2: that it would look less scammy. Your benefits are about 189 00:09:37,960 --> 00:09:41,320 Speaker 2: to expire. You need to renew. I'm paraphrasing, because you know, 190 00:09:41,360 --> 00:09:44,520 Speaker 2: they had the language really exact by January twentieth. You 191 00:09:44,559 --> 00:09:47,520 Speaker 2: need to go here to update or you need to 192 00:09:47,559 --> 00:09:49,920 Speaker 2: send in your form by mail. And then it also 193 00:09:49,960 --> 00:09:52,720 Speaker 2: included if you want to opt out text. I think 194 00:09:52,760 --> 00:09:56,439 Speaker 2: it was stop snap opt out or something like that, 195 00:09:56,559 --> 00:09:59,640 Speaker 2: because they didn't want people when they texted back stop 196 00:09:59,800 --> 00:10:02,520 Speaker 2: to be unable to be contacted by the Department of 197 00:10:02,520 --> 00:10:04,840 Speaker 2: Social Services ever again about anything else. 198 00:10:06,760 --> 00:10:09,480 Speaker 1: So when they got this text and had the link 199 00:10:09,559 --> 00:10:11,160 Speaker 1: and you click on the link, where did a link 200 00:10:11,200 --> 00:10:11,559 Speaker 1: take you? 201 00:10:12,120 --> 00:10:14,720 Speaker 2: It took you to the Department of Social Services website. 202 00:10:14,880 --> 00:10:17,240 Speaker 2: They do have a website in Connecticut where you can 203 00:10:17,400 --> 00:10:21,080 Speaker 2: renew online. Not every state has the capabilities to do that, 204 00:10:21,640 --> 00:10:24,120 Speaker 2: And in fact, Code for America's next project is they 205 00:10:24,160 --> 00:10:27,000 Speaker 2: want to help make that website work even better. But yeah, 206 00:10:27,000 --> 00:10:28,920 Speaker 2: it just took you straight to the website where you 207 00:10:29,120 --> 00:10:31,400 Speaker 2: would have to renew anyway, and was sort of again 208 00:10:31,440 --> 00:10:34,720 Speaker 2: prompting people to do it digitally instead of go back 209 00:10:34,760 --> 00:10:36,479 Speaker 2: to the mailing and the paperwork. 210 00:10:36,880 --> 00:10:39,640 Speaker 1: Well, what about people, especially older people, or who may 211 00:10:39,679 --> 00:10:42,480 Speaker 1: not have smartphones, or don't have internet connection or don't 212 00:10:42,559 --> 00:10:45,280 Speaker 1: use a laptop. Is there a way that those people 213 00:10:45,280 --> 00:10:46,240 Speaker 1: are able to be reached? 214 00:10:46,720 --> 00:10:48,760 Speaker 2: It's going to be harder to reach them certainly with this. 215 00:10:49,280 --> 00:10:51,920 Speaker 2: They did do some research and the vast majority of 216 00:10:51,960 --> 00:10:54,560 Speaker 2: low income households in the state do have cell phone 217 00:10:54,600 --> 00:10:58,160 Speaker 2: numbers LOANCME. People do tend to access the Internet on 218 00:10:58,240 --> 00:11:00,439 Speaker 2: a phone, so they're more likely to be able to 219 00:11:00,480 --> 00:11:02,400 Speaker 2: get a text message, whereas if you're trying to reach 220 00:11:02,440 --> 00:11:04,800 Speaker 2: people by mail. They tend to move around a lot, 221 00:11:04,800 --> 00:11:08,080 Speaker 2: and their physical address actually changes quite frequently, so it 222 00:11:08,120 --> 00:11:10,400 Speaker 2: may be a better way to reach folks. But this 223 00:11:10,480 --> 00:11:13,400 Speaker 2: is definitely not going to reach everyone, and in particular 224 00:11:13,440 --> 00:11:15,800 Speaker 2: people who are not tech savvy, who do not have 225 00:11:15,840 --> 00:11:19,240 Speaker 2: a phone, perhaps older people, This is not something that's 226 00:11:19,280 --> 00:11:20,160 Speaker 2: going to reach them or. 227 00:11:20,160 --> 00:11:21,040 Speaker 4: Help them necessarily. 228 00:11:21,040 --> 00:11:23,360 Speaker 2: So the Department of Social Services is definitely going to 229 00:11:23,400 --> 00:11:25,720 Speaker 2: need to think of other ways to be in touch 230 00:11:25,720 --> 00:11:26,480 Speaker 2: with people as well. 231 00:11:27,400 --> 00:11:31,240 Speaker 1: After the break, how is this texting program in Connecticut 232 00:11:31,320 --> 00:11:41,760 Speaker 1: working out? You talked about how they really sweated over 233 00:11:41,800 --> 00:11:43,880 Speaker 1: the link. You know, what the link should look like 234 00:11:43,920 --> 00:11:47,120 Speaker 1: and what those tech should say. So how do they 235 00:11:47,240 --> 00:11:51,600 Speaker 1: overcome that skepticism that we all have now that everything 236 00:11:51,640 --> 00:11:54,080 Speaker 1: we get from someone we don't know is bad. 237 00:11:54,679 --> 00:11:57,720 Speaker 2: It's a huge hurdle and it's a real one. They 238 00:11:57,960 --> 00:12:01,080 Speaker 2: did research talking to snappers in themselves to try to 239 00:12:01,080 --> 00:12:03,360 Speaker 2: answer this question, and I sat in on some of that, 240 00:12:03,559 --> 00:12:07,320 Speaker 2: and everyone they talked to knew someone who had been 241 00:12:07,360 --> 00:12:10,199 Speaker 2: subject to a scam and had lost money a Social 242 00:12:10,240 --> 00:12:13,240 Speaker 2: Security scam or a snap scam over their texts. So 243 00:12:13,320 --> 00:12:15,880 Speaker 2: this is really real and people have a right to 244 00:12:15,960 --> 00:12:19,520 Speaker 2: be skeptical and so what they did was they talk 245 00:12:19,559 --> 00:12:21,360 Speaker 2: to people about, Okay, what are the things that we 246 00:12:21,400 --> 00:12:23,560 Speaker 2: could do that would signal to you that this is real. 247 00:12:23,800 --> 00:12:25,840 Speaker 2: One of them was get the word out ahead of time. 248 00:12:26,240 --> 00:12:29,560 Speaker 2: So in the paperwork that they send regularly, they include 249 00:12:29,559 --> 00:12:31,680 Speaker 2: a little flyer that says, this is coming. You're going 250 00:12:31,760 --> 00:12:33,160 Speaker 2: to get a text. It's going to look like this. 251 00:12:33,240 --> 00:12:36,160 Speaker 2: It's going to be from this number. They did TV spots, 252 00:12:36,200 --> 00:12:39,240 Speaker 2: they did radio spots, they did a press release, they 253 00:12:39,240 --> 00:12:39,959 Speaker 2: did social media. 254 00:12:40,000 --> 00:12:40,880 Speaker 4: So they got the word out. 255 00:12:41,240 --> 00:12:43,160 Speaker 2: And then the other thing they did was they were 256 00:12:43,200 --> 00:12:46,640 Speaker 2: really intentional about what the text looked like. One big 257 00:12:46,640 --> 00:12:49,000 Speaker 2: thing that really came up in the research they did 258 00:12:49,000 --> 00:12:52,320 Speaker 2: with Snap recipients was that if it came from a 259 00:12:52,440 --> 00:12:55,319 Speaker 2: random number or a five digit short code, that was 260 00:12:55,360 --> 00:12:58,160 Speaker 2: going to look like a scam. But everyone felt comfortable 261 00:12:58,440 --> 00:13:01,240 Speaker 2: having it come from the Department of so Services call 262 00:13:01,280 --> 00:13:03,400 Speaker 2: center number because they knew that number. Often it was 263 00:13:03,400 --> 00:13:05,560 Speaker 2: already in their phone. They called it a lot. That 264 00:13:05,679 --> 00:13:07,120 Speaker 2: was something they knew, so they said, okay, if it 265 00:13:07,200 --> 00:13:09,920 Speaker 2: comes from that, I'll be fine. Another thing was if 266 00:13:09,960 --> 00:13:13,440 Speaker 2: it has part of their client ID, that's a number 267 00:13:13,520 --> 00:13:15,920 Speaker 2: that no one else should have. A scammer or a 268 00:13:15,960 --> 00:13:18,200 Speaker 2: hacker shouldn't have So there were these things that they 269 00:13:18,240 --> 00:13:20,240 Speaker 2: could do to sort of signal to them, you know, 270 00:13:20,320 --> 00:13:23,040 Speaker 2: this is real. This is coming from a department you 271 00:13:23,160 --> 00:13:26,160 Speaker 2: already know, but it is a risk. I'm sure they 272 00:13:26,200 --> 00:13:29,600 Speaker 2: weren't able to eliminate skepticism entirely. One person said, this 273 00:13:29,640 --> 00:13:32,480 Speaker 2: text message idea is great, and if I get it, 274 00:13:32,520 --> 00:13:34,439 Speaker 2: I will probably trust it, but I will still go 275 00:13:34,520 --> 00:13:36,560 Speaker 2: to a library computer and I will type it in 276 00:13:36,600 --> 00:13:38,160 Speaker 2: manually just to be sure. 277 00:13:38,760 --> 00:13:42,199 Speaker 1: How were they able to make sure that all that 278 00:13:42,400 --> 00:13:46,280 Speaker 1: pretty sensitive private information was going to be safe when 279 00:13:46,280 --> 00:13:48,560 Speaker 1: they contracted out to a nonprofit. 280 00:13:49,120 --> 00:13:50,960 Speaker 2: That is I think a concern that comes up a 281 00:13:50,960 --> 00:13:53,600 Speaker 2: lot for Code for America in this project and all others, 282 00:13:53,640 --> 00:13:58,240 Speaker 2: because governments are tasked with having and keeping your very 283 00:13:58,320 --> 00:14:01,520 Speaker 2: very personal data and promising to keep it secure, and 284 00:14:01,600 --> 00:14:04,840 Speaker 2: so I think there's a lot of discomfort around allowing 285 00:14:04,920 --> 00:14:07,880 Speaker 2: an outside entity to have access to it. So one 286 00:14:07,920 --> 00:14:10,920 Speaker 2: thing is just that Code for America has protocols and 287 00:14:10,960 --> 00:14:13,240 Speaker 2: practices that it has in place that it has used 288 00:14:13,280 --> 00:14:15,400 Speaker 2: with other states, and it was able to say to Connecticut, 289 00:14:15,400 --> 00:14:17,480 Speaker 2: for example, this is what we do. This is what 290 00:14:17,480 --> 00:14:19,640 Speaker 2: we've done it has worked, we can vouch for it. 291 00:14:20,400 --> 00:14:22,800 Speaker 2: But on top of that, you know Code for America, 292 00:14:22,920 --> 00:14:25,360 Speaker 2: anyone who was going to be working with the data 293 00:14:25,400 --> 00:14:27,240 Speaker 2: that they needed to send text messages had to have 294 00:14:27,280 --> 00:14:30,640 Speaker 2: a background check. There are some extra sort of bureaucratic 295 00:14:30,680 --> 00:14:33,160 Speaker 2: hurdles that they had to step through to make sure 296 00:14:33,200 --> 00:14:34,960 Speaker 2: that they were going to be able to be trusted 297 00:14:35,000 --> 00:14:36,400 Speaker 2: with this highly sensitive data. 298 00:14:37,000 --> 00:14:41,200 Speaker 1: So this kind of sounds like less question of technology 299 00:14:41,280 --> 00:14:44,040 Speaker 1: because this is some pretty like low tech stuff, as 300 00:14:44,120 --> 00:14:46,720 Speaker 1: it is a matter of just will to be able 301 00:14:46,800 --> 00:14:49,520 Speaker 1: to do this. Do states just make this really really hard? 302 00:14:50,200 --> 00:14:53,080 Speaker 2: Yes, and no, I think to some extent there are 303 00:14:53,120 --> 00:14:55,720 Speaker 2: a lot of states that want to do better, and 304 00:14:55,760 --> 00:14:57,960 Speaker 2: it's a question of resources. To some intent, it is 305 00:14:57,960 --> 00:15:01,240 Speaker 2: a question of technology, Like, yes, these are not really 306 00:15:01,400 --> 00:15:04,920 Speaker 2: high flying projects, but it does require a brand new 307 00:15:04,960 --> 00:15:07,760 Speaker 2: system to send texts when you've never sent a text 308 00:15:07,760 --> 00:15:12,200 Speaker 2: message to someone before. And state agencies are really starved 309 00:15:12,240 --> 00:15:16,800 Speaker 2: for resources. The workforces that take care of giving out 310 00:15:17,120 --> 00:15:22,080 Speaker 2: benefits of reviewing applications, they just are chronically underfunded. So 311 00:15:22,200 --> 00:15:25,720 Speaker 2: if you spend money in time on something like text messages, 312 00:15:26,160 --> 00:15:29,160 Speaker 2: you're taking it away from something else. But I will 313 00:15:29,160 --> 00:15:33,120 Speaker 2: also say that the hurdles that poor people are confronted 314 00:15:33,120 --> 00:15:35,720 Speaker 2: with when they go to apply for these benefits are 315 00:15:35,760 --> 00:15:38,720 Speaker 2: sometimes intentional. It is a way to whittle down the 316 00:15:38,800 --> 00:15:41,000 Speaker 2: roles when you just make it harder and harder for 317 00:15:41,040 --> 00:15:44,520 Speaker 2: people to access benefits. And we tend to see more 318 00:15:44,560 --> 00:15:47,760 Speaker 2: of those hurdles and states, for example, with higher black population. 319 00:15:48,280 --> 00:15:51,680 Speaker 2: So it's this legacy of sort of viewing the poor 320 00:15:51,680 --> 00:15:54,600 Speaker 2: as perhaps undeserving or needing to work harder for the 321 00:15:54,600 --> 00:15:56,160 Speaker 2: assistance that they qualify for. 322 00:15:56,800 --> 00:15:58,920 Speaker 1: They put the system in place to send all these 323 00:15:58,960 --> 00:16:01,560 Speaker 1: texts to people in Connecticut when it was time to 324 00:16:01,600 --> 00:16:04,000 Speaker 1: renew their benefits. Did it work? Was it successful? 325 00:16:04,520 --> 00:16:04,800 Speaker 4: Yeah? 326 00:16:04,840 --> 00:16:07,000 Speaker 2: I got to watch the day they deployed the pilot 327 00:16:07,320 --> 00:16:12,640 Speaker 2: and the texts went out extremely quickly and costs less 328 00:16:12,640 --> 00:16:13,960 Speaker 2: than four dollars total. 329 00:16:14,320 --> 00:16:16,680 Speaker 1: And how many texts did they send that. 330 00:16:16,160 --> 00:16:18,840 Speaker 2: That first day They sent about ten thousand texts, And 331 00:16:19,040 --> 00:16:21,480 Speaker 2: the plan was to keep ramping it up. But it 332 00:16:21,560 --> 00:16:24,880 Speaker 2: is reaching people and they're evaluating the impact. But it 333 00:16:24,920 --> 00:16:29,280 Speaker 2: seemed preliminarily that they were seeing less churn. They were 334 00:16:29,320 --> 00:16:33,160 Speaker 2: not overwhelming the field offices with calls for recipients who 335 00:16:33,160 --> 00:16:35,800 Speaker 2: were confused or scared by these texts and they were 336 00:16:35,840 --> 00:16:39,160 Speaker 2: also driving traffic to the Department of Social Services websites. 337 00:16:39,200 --> 00:16:42,480 Speaker 2: So the preliminary results looked really good. They were getting 338 00:16:42,520 --> 00:16:44,840 Speaker 2: a lot of texts back from people saying thank you, 339 00:16:45,040 --> 00:16:47,320 Speaker 2: this is great, and you know, I think they're going 340 00:16:47,400 --> 00:16:49,840 Speaker 2: to keep evaluating the impact and seeing if they can 341 00:16:49,960 --> 00:16:51,440 Speaker 2: keep expanding it to other uses. 342 00:16:52,840 --> 00:16:54,960 Speaker 1: And what did the state of Connecticut pay CODE for 343 00:16:55,000 --> 00:16:57,360 Speaker 1: America to do this for them? 344 00:16:57,680 --> 00:16:58,600 Speaker 4: They paid them nothing. 345 00:16:58,880 --> 00:17:01,040 Speaker 1: So where does the funding for HOD for America come from? 346 00:17:01,040 --> 00:17:02,640 Speaker 1: How do they pay their staff? 347 00:17:03,040 --> 00:17:06,480 Speaker 2: They have philanthropic funding and they just got this big 348 00:17:06,520 --> 00:17:09,560 Speaker 2: infusion of funding to start what they're calling the Safety 349 00:17:09,600 --> 00:17:12,360 Speaker 2: Net Innovation Lab, and so this Connecticut partnership is part 350 00:17:12,400 --> 00:17:13,000 Speaker 2: of that lab. 351 00:17:13,080 --> 00:17:15,840 Speaker 4: And the goal is both to work with more states. 352 00:17:15,880 --> 00:17:19,040 Speaker 2: Eventually they hope to have fifteen states in this innovation 353 00:17:19,160 --> 00:17:21,199 Speaker 2: lab with them, but also I think to do it 354 00:17:21,240 --> 00:17:25,280 Speaker 2: on a longer timeframe. Most of their projects before this 355 00:17:25,400 --> 00:17:27,080 Speaker 2: tended to be come in and sort of fix the. 356 00:17:27,119 --> 00:17:29,080 Speaker 4: Problem and then walk away. 357 00:17:29,160 --> 00:17:32,440 Speaker 2: And in Connecticut, for example, they started with this texting 358 00:17:32,440 --> 00:17:34,520 Speaker 2: pilot which was pretty small, and then they wanted to 359 00:17:34,760 --> 00:17:38,200 Speaker 2: expand texting and then, like I said, ultimately the goal 360 00:17:38,320 --> 00:17:42,560 Speaker 2: is to redo the whole process entirely, the Department of 361 00:17:42,600 --> 00:17:46,760 Speaker 2: Social Services website and how people interact with it, how 362 00:17:46,800 --> 00:17:48,760 Speaker 2: easy it is to navigate, how easy it is to 363 00:17:48,800 --> 00:17:51,879 Speaker 2: complete things online. So it's a bigger project and a 364 00:17:51,920 --> 00:17:54,240 Speaker 2: longer term project, I think than they've normally been able 365 00:17:54,280 --> 00:17:57,320 Speaker 2: to take on. Interestingly, though, it's not really a blue 366 00:17:57,320 --> 00:17:59,280 Speaker 2: state or a red state thing so far. You know, 367 00:17:59,320 --> 00:18:01,520 Speaker 2: they've done a lot of work with the State of Louisiana, 368 00:18:01,920 --> 00:18:04,679 Speaker 2: which has been really interested in making benefit delivery better. 369 00:18:05,040 --> 00:18:07,200 Speaker 2: So I think that this is the kind of work 370 00:18:07,200 --> 00:18:11,360 Speaker 2: that can attract people from all political persuasions. But there 371 00:18:11,440 --> 00:18:14,320 Speaker 2: is a bit of a hurdle for some state governments 372 00:18:14,359 --> 00:18:17,680 Speaker 2: in that while Code for America does not charge anything, 373 00:18:17,880 --> 00:18:20,439 Speaker 2: you do have to invest staff time, and that is 374 00:18:20,440 --> 00:18:23,320 Speaker 2: a resource, and it's a limited resource when funding is 375 00:18:23,359 --> 00:18:26,800 Speaker 2: solow for state government agencies. So I think they would 376 00:18:26,840 --> 00:18:28,800 Speaker 2: love to work with every single state government, but there'll 377 00:18:28,800 --> 00:18:30,760 Speaker 2: be me some that just feel like they can't really 378 00:18:31,119 --> 00:18:31,520 Speaker 2: swing it. 379 00:18:31,960 --> 00:18:33,880 Speaker 1: Bryce, thanks so much for coming on the show. 380 00:18:33,960 --> 00:18:34,880 Speaker 4: Thank you for having me. 381 00:18:35,680 --> 00:18:38,920 Speaker 1: When we come back. How receptive our states to the 382 00:18:39,000 --> 00:18:50,680 Speaker 1: kind of help Code for America is offering. Now, let's 383 00:18:50,720 --> 00:18:53,719 Speaker 1: hear what it's actually like to do this kind of work. 384 00:18:54,000 --> 00:18:59,040 Speaker 1: Genevieve Miller is Program Manager for Insight and Impact at 385 00:18:59,119 --> 00:19:02,520 Speaker 1: Code for America. Genevieve, can you start by telling us 386 00:19:02,600 --> 00:19:05,400 Speaker 1: how does Code for America choose projects? 387 00:19:05,480 --> 00:19:05,520 Speaker 3: Like? 388 00:19:05,560 --> 00:19:07,239 Speaker 1: How do you decide who you're going to work with? 389 00:19:07,760 --> 00:19:11,239 Speaker 3: Code for America is a civic tech nonprofit, So that 390 00:19:11,280 --> 00:19:14,200 Speaker 3: phrase civic tech may or may not be something listeners 391 00:19:14,240 --> 00:19:17,080 Speaker 3: are familiar with, but what that essentially means is that 392 00:19:17,119 --> 00:19:20,560 Speaker 3: we're driven by a core belief, which is that with 393 00:19:20,640 --> 00:19:24,760 Speaker 3: the mindful use of technology, government can work well for everyone. 394 00:19:24,840 --> 00:19:28,240 Speaker 3: And so for more than a decade, we've been working 395 00:19:28,320 --> 00:19:31,800 Speaker 3: shoulder to shoulder with governments and communities across the country 396 00:19:32,160 --> 00:19:35,760 Speaker 3: to make government services more accessible and equitable. 397 00:19:36,160 --> 00:19:38,520 Speaker 4: We've worked with a. 398 00:19:37,920 --> 00:19:41,960 Speaker 3: Wide range of states up until this point, and now 399 00:19:42,240 --> 00:19:45,040 Speaker 3: our work with Connecticut is part of something called the 400 00:19:45,040 --> 00:19:48,040 Speaker 3: Safety Net Innovation Lab. This is something that we launched 401 00:19:48,160 --> 00:19:51,680 Speaker 3: last year with the goal of working with fifteen states 402 00:19:51,840 --> 00:19:56,000 Speaker 3: over seven years to reach thirteen million people and unlock 403 00:19:56,359 --> 00:19:58,040 Speaker 3: thirty billion dollars in benefits. 404 00:19:58,080 --> 00:20:00,320 Speaker 4: And so that's a lot of numbers. 405 00:20:00,240 --> 00:20:03,160 Speaker 3: But another way of articulating that vision is that we're 406 00:20:03,240 --> 00:20:07,480 Speaker 3: working to transform the social safety net by using human 407 00:20:07,600 --> 00:20:11,640 Speaker 3: centered technology to remove barriers to public benefits. And it's 408 00:20:11,680 --> 00:20:16,440 Speaker 3: really both as simple and as complex as that. Alongside Connecticut, 409 00:20:16,480 --> 00:20:20,960 Speaker 3: we are also working with Louisiana, Minnesota, Colorado, and California. 410 00:20:21,280 --> 00:20:24,360 Speaker 3: And then we recently announced and are in the process 411 00:20:24,359 --> 00:20:27,480 Speaker 3: of kicking off work with New York, New Mexico, Maryland, 412 00:20:27,520 --> 00:20:30,520 Speaker 3: and Washington, DC as part of the second cohort. We 413 00:20:30,960 --> 00:20:32,880 Speaker 3: as part of the Innovation Lab. In particular, we kind 414 00:20:32,880 --> 00:20:36,679 Speaker 3: of shared this opportunity publicly and states actually reached out 415 00:20:36,720 --> 00:20:37,040 Speaker 3: to us. 416 00:20:37,760 --> 00:20:40,200 Speaker 1: And so you are working on this project to make 417 00:20:40,240 --> 00:20:45,560 Speaker 1: it easier for people to renew benefits that would expire otherwise. 418 00:20:45,840 --> 00:20:49,080 Speaker 1: So when you move in to a project, here's this need. 419 00:20:49,160 --> 00:20:51,600 Speaker 1: How do you go about figuring out what to do 420 00:20:51,640 --> 00:20:53,360 Speaker 1: from like a tech standpoint. 421 00:20:54,080 --> 00:20:57,399 Speaker 3: With the recent end of the public health emergency and 422 00:20:57,520 --> 00:21:02,080 Speaker 3: unwinding of Medicaid, we're really seeing that renewing benefits is 423 00:21:02,280 --> 00:21:06,600 Speaker 3: particularly challenging right now for both clients and government partners. 424 00:21:06,600 --> 00:21:09,560 Speaker 3: This is true in Connecticut and across the country. 425 00:21:10,160 --> 00:21:13,480 Speaker 1: How did you zero in a simple text message as 426 00:21:13,520 --> 00:21:14,879 Speaker 1: being the best way to reach people. 427 00:21:15,440 --> 00:21:18,840 Speaker 3: Government services are at their best when they meet people 428 00:21:18,880 --> 00:21:21,919 Speaker 3: where they're at and center those who are often excluded, 429 00:21:22,320 --> 00:21:24,719 Speaker 3: And we know from our previous work in other states 430 00:21:24,800 --> 00:21:27,480 Speaker 3: and now in Connecticut, that texting is one of the 431 00:21:27,480 --> 00:21:31,240 Speaker 3: most effective and equitable tools to do so. Texts are 432 00:21:31,400 --> 00:21:34,960 Speaker 3: relatively affordable to send, especially when you compare it to 433 00:21:35,160 --> 00:21:39,000 Speaker 3: sending for example, paper notices in the mail. Client Phone 434 00:21:39,040 --> 00:21:42,440 Speaker 3: numbers are also less likely to change than their physical address, 435 00:21:42,440 --> 00:21:46,399 Speaker 3: which makes texting a more consistently reliable way of reaching people. 436 00:21:46,880 --> 00:21:51,280 Speaker 3: And most importantly, texts provide really timely information to support 437 00:21:51,320 --> 00:21:52,920 Speaker 3: clients every step of the way. 438 00:21:54,240 --> 00:21:56,760 Speaker 1: What does CO for America see as like this next 439 00:21:56,800 --> 00:22:00,960 Speaker 1: needed step in making public benefits more accessible so you 440 00:22:00,960 --> 00:22:03,240 Speaker 1: don't just lose them if you forget to renew. 441 00:22:03,920 --> 00:22:06,880 Speaker 3: Well, I think what we learned from our pilot thus 442 00:22:06,920 --> 00:22:09,919 Speaker 3: far in Connecticut, and what we've learned certainly in our 443 00:22:09,960 --> 00:22:13,480 Speaker 3: texting work in other states as well, is that texts 444 00:22:13,680 --> 00:22:17,320 Speaker 3: are a part of a much larger puzzle when it 445 00:22:17,320 --> 00:22:21,240 Speaker 3: comes to supporting clients all the way from accessing benefits 446 00:22:21,240 --> 00:22:24,000 Speaker 3: from the first time to renewing and maintaining their benefits, 447 00:22:24,040 --> 00:22:30,560 Speaker 3: and so texts can provide timely information and resources for clients. However, 448 00:22:30,600 --> 00:22:33,760 Speaker 3: there are still a lot of other steps in the 449 00:22:33,800 --> 00:22:36,440 Speaker 3: process and kind of barriers that clients need to overcome 450 00:22:36,520 --> 00:22:39,240 Speaker 3: when it comes to pulling together the documents that are needed, 451 00:22:39,359 --> 00:22:42,280 Speaker 3: or attending an interview and kind of scheduling that, and 452 00:22:42,520 --> 00:22:45,560 Speaker 3: there are all of these pieces to the process. And 453 00:22:45,720 --> 00:22:48,800 Speaker 3: so what's been really wonderful about this process and working 454 00:22:48,800 --> 00:22:51,639 Speaker 3: with the Department of Social Services is that we're hearing 455 00:22:51,680 --> 00:22:54,320 Speaker 3: from clients who are replying to our texts, and we're 456 00:22:54,359 --> 00:22:57,159 Speaker 3: hearing the questions that they're asking. And so when we 457 00:22:57,200 --> 00:22:59,879 Speaker 3: remind clients to renew, for example, they may have a 458 00:23:00,080 --> 00:23:02,600 Speaker 3: lot of follow up questions around what's required of them 459 00:23:02,640 --> 00:23:06,040 Speaker 3: and some of those next steps. And so we're continuing 460 00:23:06,080 --> 00:23:09,120 Speaker 3: to have conversations with the Department of Social Services around 461 00:23:09,320 --> 00:23:12,560 Speaker 3: other things that we're hearing from clients about Gennevie. 462 00:23:12,840 --> 00:23:15,960 Speaker 1: We've mostly been talking about this specific program in Connecticut, 463 00:23:15,960 --> 00:23:18,440 Speaker 1: but you mentioned other states that Code for America is 464 00:23:18,480 --> 00:23:20,679 Speaker 1: also working in. What do you do in those places? 465 00:23:20,720 --> 00:23:23,359 Speaker 1: What are their projects do you have in the works? 466 00:23:23,880 --> 00:23:27,800 Speaker 3: Other states are looking at increasing participation for the Special 467 00:23:27,840 --> 00:23:31,760 Speaker 3: Supplemental Nutrition Program for women, infants, and children, often referred 468 00:23:31,760 --> 00:23:34,920 Speaker 3: to as WICK, and other states are focused on projects 469 00:23:34,920 --> 00:23:40,440 Speaker 3: related to Medicaid and really improving single integrated benefits applications. 470 00:23:40,640 --> 00:23:43,320 Speaker 3: And so there's a lot of different projects that are 471 00:23:43,560 --> 00:23:46,520 Speaker 3: within the Innovation Lab, and so we're sharing a lot 472 00:23:46,560 --> 00:23:49,159 Speaker 3: of learnings as part of that process. And actually, a 473 00:23:49,240 --> 00:23:53,239 Speaker 3: really core part of the Innovation Lab for States is 474 00:23:53,240 --> 00:23:56,480 Speaker 3: that they're doing this in cohorts, so they have the 475 00:23:56,520 --> 00:23:59,879 Speaker 3: opportunity to on a monthly basis come together and really 476 00:24:00,520 --> 00:24:03,280 Speaker 3: learn from each other, hear what everyone is working on, 477 00:24:03,680 --> 00:24:07,200 Speaker 3: and I think really importantly to share the challenges they're facing, 478 00:24:07,520 --> 00:24:10,880 Speaker 3: the dreams that they have for their clients and their staff. 479 00:24:11,480 --> 00:24:15,560 Speaker 3: And we've seen just an incredible space held for those conversations. 480 00:24:15,560 --> 00:24:17,720 Speaker 3: And so they're doing a lot of learning together, even 481 00:24:17,760 --> 00:24:20,520 Speaker 3: if their specific projects might look different. 482 00:24:21,280 --> 00:24:23,919 Speaker 1: Genevieve, thanks so much. I appreciate your time. Thank you, 483 00:24:25,359 --> 00:24:27,320 Speaker 1: Thanks for listening to us here at The Big Take. 484 00:24:27,400 --> 00:24:30,760 Speaker 1: It's a daily podcast from Bloomberg and iHeartRadio. For more 485 00:24:30,800 --> 00:24:34,800 Speaker 1: shows from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, or 486 00:24:34,840 --> 00:24:37,320 Speaker 1: wherever you listen. And we'd love to hear from you. 487 00:24:37,400 --> 00:24:40,760 Speaker 1: Email us questions or comments to Big Take at Bloomberg 488 00:24:40,800 --> 00:24:44,000 Speaker 1: dot net. The supervising producer of The Big take is 489 00:24:44,080 --> 00:24:48,840 Speaker 1: Vicky Virgolina. Our senior producer is Catherine Fink. Rebecca Shasson 490 00:24:48,960 --> 00:24:52,920 Speaker 1: is our producer. Our associate producer is Sam Gabauer. Phil 491 00:24:53,000 --> 00:24:56,760 Speaker 1: de Garcia is our engineer. Our original music was composed 492 00:24:56,760 --> 00:24:59,960 Speaker 1: by Leo Sidrin. I'm west Kasova. We'll be back tomorrow 493 00:25:00,000 --> 00:25:07,359 Speaker 1: brow with another big takee 494 00:25:09,960 --> 00:25:10,320 Speaker 3: Mhm