The Rights Track

Todd Landman
The Rights Track

The Rights Track podcast gets the hard facts about the human rights challenges facing the world today and aims to get our thinking about human rights on the right track.

  1. 06/09/2022

    The Rights Track: Sound Evidence on Human Rights and Modern Slavery - SPECIAL EPISODE

    In this special BONUS episode of the podcast, Todd is joined by Rights Track producer Chris Garrington of Research Podcasts to discuss their recently published book The Rights Track: Sound Evidence on Human Rights and Modern Slavery.  The book, published by Anthem Press is launched today (September 6, 2022) at a special event hosted by the University of Nottingham's Rights Lab, funders of Series 3-5 of the podcast.  Transcript Todd Landman  0:01  Welcome to The Rights Track podcast, which gets the hard facts about the human rights challenges facing us today. I'm Todd Landman. In this special episode of the podcast, I'm delighted to be joined by Rights Track producer, Chris Garrington to discuss our new book, The Rights Track: Sound Evidence on Human Rights and Modern Slavery, which was published in July. Chris and I launched The Rights Track podcast together in 2015, and have just finished production of a seventh series. Chris is the director and owner of Research Podcasts Limited, which specialises in consultancy, training and podcast production for researchers and students. So, welcome to this side of the mic, Chris. Christine Garrington  0:38  Thanks, Todd. I was gonna say it feels strange to be here. But of course, it doesn't feel strange at all, because I'm always here for recordings of Rights Track episodes, but it does feel strange, slightly strange. I'm not gonna lie to be speaking into the mic and be having a proper conversation with you in this way. But wonderful. Todd Landman  0:55  You're now the guest, you are not sitting behind the scenes trying to make the guests sound fantastic. So Chris, I wanted to start with, when did podcasts first enter into your head?  Christine Garrington  1:06  Oh, that's a really good question. So you know, Todd, but our listeners won't know that my background was in journalism. So I came straight out of university and trained to be a journalist back in the late 80s, early 90s. And spent most of that time working in radio - in BBC local radio in Essex. And then when radio five live launched here in the UK, in the mid 90s I worked there. So I developed if you like, my love of audio, my passion around the power of audio to tell stories, to report news, as well as obviously, all of the technical and editorial skills required to do that well, whilst working as a radio journalist. But jump forward a decade after leaving the BBC and doing a few different things and living abroad for a while, I came back to the UK and ended up working a little bit by chance, if I can be honest there, working in a research institute at the University of Essex. Todd Landman  2:03  Yeah. Christine Garrington  2:03  And it was actually there where I was given a free rein to try to help that institute promote its research better to communicate and engage around its research better with non-academic audiences to wider audiences, that I came up with this idea of using my skills, my background in this new setting, in the university and research setting to launch a podcast and it was indeed there that I launched my very first podcast, and that would have been in around I think, 2010 - 2011. Todd Landman  2:34  Wow. So 12 years ago. Now, I wanted to just hone in on one thing you said there, you've talked about people telling their stories. And I want to link it to my next question, which is, at what point did you want to work with academics interested in presenting their own podcasts? But I guess, are they any good at telling their stories? And did you really have to coach them to tell their stories? Because sometimes people ask us questions, we give ridiculously complex answers. And people really want more straightforward answers to questions, maybe in a more binary fashion. So how do you get academics interested in presenting their own podcasts? And how do you get actually get academics to sit and talk in a way that is meaningful, interesting and productive for a non-academic audien

    30 min
  2. 22/07/2022

    Human rights in a digital world: pause for thought

    In Episode 9 of Series 7, Todd is joined again by Ben Lucas, Director of 3DI at the University of Nottingham, funders of this series. Together they reflect on some of the key themes and ideas to emerge from Series 7 of The Rights Track about human rights in a digital world.   Transcript Todd Landman  0:01   Welcome to The Rights Track podcast, which gets the hard facts about the human rights challenges facing us today. In series seven, we've been discussing human rights in a digital world. I'm Todd Landman. And in the last episode of this fantastic series, I'm delighted to be joined for the second time by Ben Lucas, Managing Director of 3DI at the University of Nottingham, a hub for world class data science research and funders for this series of our podcast. Ben helped kick off series seven at the end of last year talking about some of the challenges and opportunities created in a data driven society and the implications for our human rights. Today, he's here to help us reflect on some of the key themes that have emerged from this series. So welcome, Ben, it's great to have you on this final episode of The Rights Track. Ben Lucas  0:46   Great to be here. Thanks very much. Todd Landman  0:48   So last night, we were at a launch event for INFINITY, which is an inclusive financial technology hub being launched here at the University of Nottingham, we had a bucolic setting at the Trent bridge, cricket ground, which I say was quite historic. But some of the messages I heard coming out of that event last night, really gave me hope for the promise of digital with respect, particularly to helping people who are currently excluded from financial technologies or finance more generally. And the ever, you know, sort of problem of people getting credit ratings getting access to finance, I wondered if you could just reflect on what was shared last night around the the positive story that could be told around using technology to give people access to hard to find finance? Ben Lucas  1:29   Yeah, absolutely. So I think the central issue with financial inaccessibility is really the fact that people get trapped in this really bad cycle, and perhaps don't have savings, and then you lean more on credit options, for example. And then you become more and more dependent, if you like on credit options. Equally, there are also folks who are excluded from accessing credit completely or at an affordable rate. In the first instance, which obviously changes very much the quality of life, let's say that they're able to enjoy the things they're able to purchase, and so on. So really, the mission of projects like INFINITY, which is focusing very much on this idea of inclusive financial technology, is trying to boost accessibility to everything from tools that help people save to tools that help people spend to a breaking that some of these negative cycles that cause people to end up in not so great financial situations. And yeah, it's really leveraging and learning from, you know, all the wonderful developments in, you know, things like analytics and new financial services, products, especially those that are app based, that we use in the rest of the financial services world, but applying them for good, basically, so very much consistent with this data for good message that we've been speaking about in this series. Todd Landman  2:51   Right that's really interesting. So it's a data driven approach to understanding the gaps and inequalities in a modern society that does have the data infrastructure and technological infrastructure to give people access. But really the data driven approach lowers the barriers to entry for those folks. And I was quite struck by that there was a colleague there from Experian, which is a credit rating agency talking about the millions of people who either don't have online bank accounts don't have access to the right kinds of technologies, and don't have the kind of credit rating that gives them access t

    26 min
  3. 28/06/2022

    Eyewitness: using digital technology to prosecute human rights abusers

    In Episode 8 of Series 7 of The Rights Track, Todd is in conversation with Wendy Betts, Director of eyeWitness, an International Bar Association project launched in 2015 which collects verifiable video of human rights violations for use in investigations and trials. We're asking Wendy how the use of digital technology can help to hold accountable those who commit human rights crimes.   Transcript Todd Landman  0:01  Welcome to The Rights Track podcast, which gets the hard facts about the human rights challenges facing us today. In series seven, we're discussing human rights in a digital world. I'm Todd Landman, in this episode, I'm delighted to be joined by Wendy Betts. Wendy is director of eyeWitness an International Bar Association project launched in 2015, which collects verifiable video of human rights violations for use in investigations and trials. So today we're asking Wendy, how does the use of digital technology help to hold accountable those who commit human rights crimes? So Wendy, it's absolutely brilliant to have you on this episode of the right track. So welcome. Wendy Betts  0:38  Thanks, Todd. It's great to be here. Todd Landman  0:40  You and I met in Bergen in Norway, we were at the Rafto Foundation awards for the Human Rights Data Analysis Group and Human Rights Data Analysis Group have featured in previous episodes on The Rights Track. And I see there is a kind of correlation, if you will, between the work of the Human Rights Data Analysis Group and the work that you do at eyeWitness. It is just that the data you're collecting is really video files and video footage. So tell us a little bit about the work that you're doing with eyeWitness. Wendy Betts  1:08  Absolutely. So at eyeWitness, we are helping human rights defenders in conflict zones and other places that are experiencing large scale human rights violations, to collect photo and video information in a way that makes it easier to authenticate. So that footage can be used in investigations and trials. So we work with human rights defenders in three ways. First, we're providing a mobile camera app that we designed to help ensure that the footage can be easily authenticated. And then we are helping to securely store that footage and maintain the chain of custody so it can eventually be used in investigations and trials. And third, we work to then take a working copy of that footage that we catalogue and tag to make it easier for investigators to identify footage that's potentially of interest to their investigations and incorporate that into those processes. Todd Landman  2:01  Well, that's a great summary of the work that you do. I recall when I was a student at Georgetown University, I worked in the Lauinger Library. And my job was to produce photographs in the pre-digital age. So this was processing rolls of film in the old cans used to kind of shake them with the chemicals and then use an enlarger and make photographs. And that was fine for special collections and photographing books. But one day, a Jesuit priest came into the library and handed me a roll of film and said I need 10 copies of each of these pictures. And they were actually photographs from the crime scene where Jesuit priests had been murdered in El Salvador. And I'm curious that when we enlarge those pictures and submitted them back to the authorities that requested them, is that kind of evidence still considered verifiable evidence? And what is it that the digital elements all of this adds to the veracity and the verifiability of evidence collected on human rights crimes? Wendy Betts  2:58  There's a long history of photo and video being used as evidence, that photo and video in its hard copy form would need to be verified to go to court. So generally speaking, the court would want to speak with the photographer, or in the absence of photographer, somebody that could help explain that that footage is indeed an accurate portrayal of that location at tha

    29 min
  4. 26/05/2022

    Democracy assaulted: are we our own worst enemy?

    In Episode 7 of Series 7 of The Rights Track, Todd is joined by Tom Nichols, Professor Emeritus of National Security Affairs at the U.S. Naval War College and Contributing Writer at The Atlantic. Tom specialises in international security affairs including U.S. - Russia relations, nuclear strategy, and NATO issues. His recent book – Our Own Worst Enemy: The Assault from within on Modern Democracy is an account of the spread of illiberal and anti-democratic sentiment throughout our culture.  Transcript Todd Landman  00:00 Welcome to The Rights Track podcast, which gets the hard facts about the human rights challenges facing us today. In series seven, we're discussing human rights in a digital world. I'm Todd Landman, in this episode, I'm delighted to be joined by Tom Nichols. Tom is Professor Emeritus of National Security Affairs at the US Naval War College and contributing writer at The Atlantic. He specialises in international security affairs, including US Russia relations, nuclear strategy, and NATO issues. He recently authored a book - Our Own Worst Enemy; The Assault From Within on Modern Democracy. It's an engaging account of the spread of illiberal and anti-democratic sentiment throughout our culture. So today, we're asking him who's responsible for this, and what we should  do about it. So Tom, it's fantastic to have you on this episode of The Rights Track. So welcome. Tom Nichols  00:51 Thank you. Thanks for having me. Todd Landman  00:53 So I have a rather unusual question to enter into this conversation with you and it involves Indian food, because in your book, you talk about the idea that you're not a big fan of Indian food. But tell me a little bit of the story. What happened when you just expressed this view that you know what, I don't like Indian food? Tom Nichols  01:10 Well, I didn't just express that I didn't like Indian food, I added this kind of snarky comment, because it was on Twitter, of course, and someone had said, post your worst food takes here. And of course, people said things like, well, I hate mayonnaise, and doughnuts are bad, and so on. But I said, Indian food is terrible, and we pretend that it isn't. And, of course, I meant my colleagues who would always drag me to Indian restaurants, and then spend the afternoon sweating and gulping water and you know, sweat running in their eyes. And I would always turn to them and say, so you can't possibly be enjoying this. Because I don't happen to like very spicy food. And this Firestorm broke out. I mean, within two days, you know, I was this, you know, genocidal racist maniac. You know, I was in all the Indian papers. I was in The Washington Post -  Russian television mentioned me. I mean, it was insane. All because I'm a middle aged New Englander, who just doesn't happen to like Indian food and is very snarky about it. The coda to this whole story is that finally the former US attorney in New York, Preet Bharara, when the pandemic finally lifted, he took me out and said I challenge you to come to dinner with me. And he took me to an Indian restaurant. And I said, I would sit there and I would just eat Indian food, while people were making donations that we're gonna be used for a COVID ward in India. And this challenge ended up raising about $135,000 for COVID relief in India. Todd Landman  02:42 That is fantastic. Now, I'm going to pick this apart a little bit, because what's interesting is what looked like an incidental and as you admit a bit of a snarky comment about your food preferences, what you really communicated there is the rapidity and the spread of information, geographically, how it gets picked up, it's a bit unusual how one tweet can be picked up and really run and other tweets just sort of die on the vine, as it were. So this captures this idea that you have in the book around the viral nature of information, regardless of its veracity, how it can spread around the world, and how the originator of that information

    29 min
  5. 11/05/2022

    Liberating our minds in a digital world: how do we do it?

    In Episode 6 of Series 7 of The Rights Track, we're joined by Susie Alegre, an international human rights lawyer and associate at Doughty Street Chambers specialising in digital rights. Susie's work focuses in particular on the impact of technology and AI on the rights to freedom of thought and opinion. Her recently published book - Freedom to Think: The Long Struggle to Liberate Our Minds – explores how the powerful have always sought to influence how we think and what we buy. And today we are asking her how do we liberate our minds in a modern digital world?    Transcript Todd Landman  0:01  Welcome to the Rights Track podcast which gets the hard facts about the human rights challenges facing us today. In series seven, we're discussing human rights in a digital world. I'm Todd Landman, in the sixth episode of the series, I'm delighted to be joined by Susie Alegre. Susie is the international human rights lawyer and associate the Doughty Street Chambers specialising in digital rights, in particular the impact of technology and artificial intelligence on the rights to freedom of thought and opinion. Her recently published book - Freedom to Think; The Long Struggle to Liberate our Minds - explores how the powerful have always sought to influence how we think and what we buy. And today we're asking her, how do we liberate our minds in a modern digital world? So Susie it's great to have you on this episode of the Rights Track. Welcome. Susie Alegre  0:47  Thank you so much for having me. I'm very excited to be here. Todd Landman  0:49  So I love the book - Freedom to Think - I've read it cover to cover. In fact, I read it probably in two days, because it's such a compelling read. And I guess my first question for you is, why is the freedom to think broadly understood belief, expression, speech, religion, thought, why is all of that so critical to us as human beings? Susie Alegre  1:10  I think the way that I've looked at it in the book is really dividing those elements up a little bit. So what I focused on in the book is freedom of thought and opinion and what goes on inside our heads, as opposed to the more traditional discussions that we have around freedom of speech. And one of the reasons for that is that while freedom of speech has consequences and responsibilities, and freedom of speech can be limited, that freedom in our inner worlds to think whatever we like to practice our thoughts and opinions and decide whether or not there's something we should share, is what allows us to really develop and be human. And the right to freedom of thought and opinion, along with belief and conscience, insofar as we practice that inside our heads is something that's protected absolutely in international human rights law, which I think reflects its importance. And when you consider other absolute rights and human rights law, like the prohibition on torture, or the prohibition on slavery, the right to freedom of thought inside your head alongside those other rights, really gets to the heart of human dignity, and what it means for us to be humans. Todd Landman  2:24  Yes and so in protecting those rights, we are giving people agency because I was caught really captured by one thing you just said there about, we choose what we want to share. So a lot of us can have a million thoughts a second, but we don't share all of them. Although in the current era, it seems that people are sharing pretty much everything that they're thinking. But we'll get to that in a minute. I'm just curious about this idea of agency that, you know, you choose what to share, you also choose what not to share. And that element of choice is fundamental to being human. Susie Alegre  2:53  Absolutely. And what the right to freedom of thought, well certainly a key element is right to freedom of thought and freedom of opinion, is what's called freedom in the forum internal that's inside, you know, in our inner lives, it's not what we then choose

    32 min
  6. 14/04/2022

    Using prison data to reduce incarceration

    In Episode 5 of Series 7 of The Rights Track, Todd is in conversation with Amrit Dhir, Director of Partnerships at Recidiviz – a team of technologists committed to getting decision makers the data they need to drive better criminal justice outcomes.  Transcript Todd Landman  0:00  Welcome to the Rights Track podcast, which gets the hard facts about the human rights challenges facing us today. In series seven, we're discussing human rights in a digital world. I'm Todd Landman, in this episode, I'm delighted to be joined by Amrit Dhir. Amrit is the Director of Partnerships at Recidiviz, a team of technologists committed to getting decision makers the data they need to drive better criminal justice outcomes. He has previously spent over a decade at the intersection of technology and new business development, working, for example at Sidewalk Labs, Google for Startups and Verily. Today, we'll be exploring the practical uses of technology and data in the criminal justice system. So Amrit, it's great to have you on this episode of the Rights Track. Welcome from California. Amrit Dhir  0:44  Thank you so much, I'm really glad to be here. Todd Landman  0:46  It's great for you to join us. And I want to start with a simple question. We had a guest - Sam Gilbert - on our last episode, we made this distinction between the sort of data for good and data for bad and there's a very large sort of argument out there about surveillance capitalism, the misuses of data, you know, behavioural microtargeting and all these sorts of issues. And yet I see that where you're working at Recidiviz there's a kind of data for good argument here around using technology and data to help criminal justice systems and the healthcare sector. So just briefly, could you tell us about this data for good and data for bad distinction? Amrit Dhir  1:19  Yeah, well, as with most things, I think it's difficult to pigeonhole anything into one of those camps, everything it seems, can be used for good or bad. And so data itself is not one or the other. I think it's about the use, I think that's what Sam was getting at with you as well. With Recidiviz, you know, what we've understood is that data that's been collected over a long period of time, especially in the context of the United States, and our unfortunate kind of race to mass incarceration, from basically the 1970s until about mid-2010s. We've collected a lot of data along the way, and we're not actually using or understanding that data. And so what we do at Recidiviz is we bring that data together, so make it something that can be better understood and better utilised, to help reduce prison populations to help drive better outcomes. So we're focused on taking data that's been, again, collected over quite a long period of time and consistently collected, but also making it better understandable. Todd Landman  2:17  So this sounds like big, messy, disparate, fragmented data, is that correct? Amrit Dhir  2:22  Most of those things, most of the time. It's definitely fragmented most of the time, it's not always necessarily what we'd call big. Because, you know, coming from Google, I think of big in the terms of, you know, search query type volume. So in corrections, it's not necessarily that big, but it is certainly messy, and it is certainly fragmented. Todd Landman  2:42  You know we had a guest on Rights Track, some while back, David Fathi from the American Civil Liberties Union, he explained to us the structure of the American sort of prison system, not justice in itself, but prison system with, you know, 50 state prison systems, plus a federal prison system and a mix of public and private prisons. So it's a mixed picture in terms of jurisdiction, the use of incarceration and of course, the conditions of incarceration. So what's the sort of data that's being collected that you find useful at Recidiviz? Amrit Dhir  3:13  Yeah, I'll actually add a piece of that as well, you're ex

    22 min
  7. 23/03/2022

    An optimist's view: What makes data good?

    In Episode 4 of Series 7 of The Rights Track, Todd is in conversation with Sam Gilbert, an entrepreneur and affiliated researcher at the Bennett Institute for Public Policy at the University of Cambridge. Sam works on the intersection of politics and technology. His recent book – Good Data: An Optimist’s Guide to Our Future – explores the different ways data helps us, suggesting that “the data revolution could be the best thing that ever happened to us”.  Transcript Todd Landman  0:01  Welcome to The Rights Track podcast which gets the hard facts about the human rights challenges facing us today. In Series 7, we're discussing human rights in a digital world. I'm Todd Landman, in the fourth episode of this series, I'm delighted to be joined by Sam Gilbert. Sam is an entrepreneur and affiliated researcher at the Bennett Institute for Public Policy at the University of Cambridge, working on the intersection of politics and technology. His recent book, Good Data: An Optimist's Guide to Our Future explores the different ways data helps us suggesting the data revolution could be the best thing that ever happened to us. And today, we're asking him, what makes data good? So Sam, welcome to this episode of The Rights Track. Sam Gilbert  0:41  Todd thanks so much for having me on.  Todd Landman  0:44  So I want to start really with the book around Good Data. And I'm going to start I suppose, with the negative perception first, and then you can make the argument for a more optimistic assessment. And this is this opening set of passages you have in the book around surveillance capitalism. Could you explain to us what surveillance capitalism is and what it means?  Sam Gilbert  1:01  Sure. So surveillance capitalism is a concept that's been popularised by the Harvard Business School Professor, Shoshana Zuboff. And essentially, it's a critique of the power that big tech companies like Google and Facebook have. And what it says is that, that power is based on data about us that they accumulate, as we live our lives online. And by doing that produce data, which they collect, and analyse, and then sell to advertisers. And for proponents of surveillance capitalism theory, there's something sort of fundamentally illegitimate about that. In terms of the way that it, as they would see it, appropriates data from individuals for private gain on the path of tech companies. I think they would also say that it infringes individual's rights in a more fundamental way by subjecting them to surveillance. So that I would say is surveillance capitalism in a nutshell.  Todd Landman  2:07  Okay. So to give you a concrete example, if I'm searching for a flannel shirt from Cotton Trader, on Google, the next day, I open up my Facebook and I start to see ads for Cotton Trader, on my Facebook feed, or if I go on to CNN, suddenly I see an ad for another product that I might have been searching for on Google. Is that the sort of thing that he's talking about in this concept? Sam Gilbert  2:29  Yes, that's certainly one dimension to it. So that example that you just gave is an example of something that's called behaviour or retargeting. So this is when data about things you've searched for, or places you've visited on the internet, are used to remind you about products or services that you've browsed. So I guess this is probably the most straightforward type of what surveillance capitalists would call surveillance advertising.  Todd Landman  2:57  Yeah, I understand that, Sam, but you know when I'm internally in Amazon searching for things. And they say you bought this other people who bought this might like this, have you thought about, you know, getting this as well. But this is actually between platforms. This is, you know, might do a Google search one day. And then on Facebook or another platform, I see that same product being suggested to me. So how did, how did the data cross platforms? Are they selling data to each other? Is that how that works?  Sam Gilbert  3:22  So there's a variety of different technical mechanisms. So without wanting to get too much into the jargon of the ad tech world, there are all kinds of platforms, which put together data from different sources. And then in a programmatic or automated way, allow advertisers the opportunity to bid in an auction for the right to target people who the data suggests are interested in particular products. So it's quite a kind of complex ecosystem. I think maybe one of the things that gets lost a little bit in the discussion is some of the differences between the ways in which big tech companies like Facebook and Google and Amazon use data inside their own platforms, and the ways in which data flows out from those platforms and into the wider digital ecosystem. I guess maybe just to add one more thing about that. I think, probably many people would have a hard time thinking of something as straightforward as being retargeted with a product that they've already browsed for, they wouldn't necessarily see that as surveillance, or see that as being particularly problematic. I think what gets a bit more controversial, is where this enormous volume of data can have machine learning algorithms applied to it, in order to make predictions about products or services that people might be interested in as consumers that they themselves haven't even really considered. I think that's where critics of what they would call surveillance capitalism have a bigger problem with what's going on. Todd Landman  4:58  No I understand that's, that's a great great explanation. Thank you. And I guess just to round out this set of questions, really then it sounds to me like there's a tendency for accumulated value and expenditure here, that is really creating monopolies and cartels. To what degree is the language of monopoly and cartel being used? Because these are, you know, we rattle off the main platforms we use, but we use those because they have become so very big. And, you know, being a new platform, how does a new platform cut into that ecosystem? Because it feels like it's dominated by some really big players. Sam Gilbert  5:32  Yes. So I think this is a very important and quite complicated area. So it is certainly the case that a lot of Silicon Valley tech companies have deliberately pursued a strategy of trying to gain a monopoly. In fact, it might even be said that that's sort of inherent to the venture capital driven start-up business model to try and dominate particular market space. But I suppose the sense in which some of these companies, let's take Facebook as an example, are monopolies is really not so related to the way in which they monetize data or to their business model. So Facebook might reasonably be said to be a monopolist of encrypted messaging, because literally billions of people use Facebook's platform to communicate with each other. But it isn't really a monopolist of advertising space, because there are so many other alternatives available to advertisers who want to promote their products. I guess another dimension to this is the fact that although there are unquestionably concentrations of power with the big tech companies, they also provide somewhat of a useful service to the wider market, in that they allow smaller businesses to acquire customers much more effectively. So that actually militates against monopoly. Because now in the current digital advertising powered world, not every business has to be so big and so rich in terms of capital, that it can afford to do things like TV advertising. The platform's that Facebook and Google provides are also really helpful to small businesses that want to grow and compete with bigger players.  Todd Landman  7:15  Yeah, now I hear you shifting into the positive turn here. So I'm going to push you on this. So what is good data? And why are you an optimist about the good data elements to the work you've been doing? Sam Gilbert  7:27  Well, for me, when I talk about good data, what I'm really talking about is the positive public and social potential of data. And that really comes from my own professional experience. Because although at the moment, I spend most of my time researching and writing about these issues of data and digital technology, actually, my background is in the commercial sector. So I spent 18 years working in product and strategy and marketing roles, and particularly financial services. Also at the data company, Experian, also in a venture backed FinTech business called Bought By Many. And I learnt a lot about the ways in which data can be used to make businesses successful. And I learned a lot of techniques that, in general, at the moment, are only really put to use to achieve quite banal goals. So for example, to sell people more trainers, or to encourage them to buy more insurance products. And so one of the things that I'm really interested in is how some of those techniques and technologies can move across from the commercial sector, into the public sector, the third sector, and be put to work in ways that are more socially beneficial. So maybe just to give one example of that type of data that I think contains huge potential for public goods is search data. So this is the data set that is produced by all of us using Google and Bing and other search engines on a daily basis. Now, ordinarily, when this data is used, it is to do banal things like, target shoes more effectively. But there is also this emerging discipline called Infodemiology, where academic researchers use search data in response to public health challenges. So one great example of that, at the moment has been work by Bill Lampos at University College London and his team, where they've built a predictive model around COVID symptoms using search data. And that model actually predicts new outbreaks 17 days faster than conventional modes of epidemiological surveillance. So that's just on

    30 min
  8. 15/02/2022

    Dizzying digital change: how is it disrupting our lives and our world?

    In Episode 3 of Series 7 of The Rights Track, Professor Diane Coyle, Bennett Professor of Public Policy at the University of Cambridge and co-director of the Bennett Institute joins Todd to discuss the dizzying digital changes over the last 25 years, how it has disrupted the economy and impacted on our lives. Transcript Todd Landman  0:01  Welcome to The Rights Track podcast which gets the hard facts about the human rights challenges facing us today. In Series 7, we're discussing human rights in a digital world. I'm Todd Landman, in our third episode of the series, I'm delighted to be joined by Professor Diane Coyle. Diane is Bennett Professor of Public Policy at the University of Cambridge and co- directs the Bennett Institute, where she leads research under the themes of progress and productivity. Her most recent book- Cogs and Monsters - explores the problems and opportunities for economics today, in light of the dizzying changes in digital technology, big data, machine learning, and artificial intelligence. And today we're asking her, why is it that digital is so very disruptive? So welcome, Diane, it's wonderful to have you here on this episode of The Rights Track. Diane Coyle  0:49  It's a pleasure, I'm flattered to be invited. Todd Landman  0:52  Well, it's great. And you know, I was reading Cogs and Monsters over the holidays and enjoy very much your dissection of you know, the state of the discipline of economics and where it's going, and some of its challenges, etc. But I was really taken by the section on digital technology and digital transformation. And you, you reference your 1997 book, The Weightless World. And of course, that was 25 years ago. So the time between the publication of The Weightless World and Cogs and Monsters. And you know, factoring in Moore's Law of technological change, a lot has happened over these 25 years. So I wonder if I could just start by asking you, what are the sort of broad brush, absolutely huge changes in this area? And what has been their impact on economics? Diane Coyle  1:34  Well, where to start, as you say, it's 25 years since I first got interested in digital technology, and was always sure, it was going to be transformative. But for a lot of economists, that was not obvious for quite a while. And I remember talking to one very senior figure in the UK profession who said, well, this digital stuff, it's going to reduce transactions costs a little bit, but we know how to handle transactions costs in our models so, so what's so special about this? And I suppose they've been inflection points where small changes or what might seem to be small changes bring about very large consequences. One of those was the switch from dial up internet, to broadband. And simply the loss of friction in the sort of *dial-up joining sound* when the modem did the handshake, for those who are old enough to remember, it made a big difference in the kind of services and opportunities that people thought they were able to put online and expanding the audience for them. And then the other was 2007, and the smartphone. Steve Jobs at that iconic Apple press conference, holding up the first smartphone first iPhone, which converged with the arrival of 3G, so that data transmission became cheaper and more possible at volume and speed. And also the kind of market design ideas in economics that enabled the creation of apps and in particular, matching apps and digital platforms. And if you look at what's happened since 2007, both in terms of individual behaviour and economic transactions, the fact that we spend a whole day a week, whole 24 hours a week, I think it's 28 now, online. And the new kinds of business models and the way that markets have restructured, it has been absolutely extraordinary. And I think in many areas, we're only just beginning to think through what the consequences are, and what the implications are for politics and policy and regulatory choices. Todd Landman  3:38  Thank you for that. And you know, that rapid expansion just in terms of volume, scale, speed has fundamentally transformed our lives. I remember Steve Jobs, the announcement and I thought what am I ever going to do with that? Why do I need a phone that takes a picture? And equally when the iPad came out, I thought, I'm not sure how I'm going to use that now of course I can't live without one. And it sort of does. It changes our workflow, it changes our productivity, people who are amenable to multitasking find that these devices do help us and of course, being able to share information at rapid speed. As we know, through the pandemic, we've been able to communicate and stay on, on track in some ways in engaging with the sorts of things that we do. And so I wanted to focus a little bit on those that haven't really experienced this incredible transformation. I was recently at an event where a representative from one of the local housing association said well, we have about you know, 10,000 houses in our portfolio, if we add up all the housing associations in our, our portfolio plus other providers that might be 100,000 houses in this region, most of whom do not have access to these digital transformations. So what could you say about the sort of the left out, the left behind or the famous word about the digital divide? How do we address some of those issues, both economically but also maybe in policy terms? Diane Coyle  4:52  In different ways it's a different level of the digital divide, and one is just the sheer network infrastructure. And the economics of these networks is such that population density really makes a difference to their financial viability. So to get universal service at high speed, there has to be public subsidy for it. In this country, we've got a government that has since Mrs. Thatcher's time being focused on you try all the market solutions possible first, and then grudgingly, you have some public intervention. And I think there should have been public intervention long ago and much more focused on minimum universal service. Ofcom does set standards and I think the standards that they have set are now outdated by the technology. So that needs revisiting, and then the investments got to happen. And we've had, you know, more or less monopoly of Openreach having the core of the network. And that problem hasn't really been fixed. So there's a set of problems about network infrastructure, and who's going to pay for it, and universal services and utility. And then there's access to devices and the payment plans. And for that, you know, obviously, smartphones are expensive, we've got plans where you can get the handset subsidised if you sign up to a reasonably expensive data plan. But lots of people can't do that. And this is a universal problem in all countries, because they're all pretty unequal. And so the people who are best off have best access. During the pandemic that's been diabolically bad, in particular for schoolchildren who've been learning online. And if you've got a limited plan, limited data, and you've only got a phone, not a tablet or a computer, you're not going to learn, you're not going to learn that learning deficit is going to scar those individuals for the rest of their working careers. So that has been a problem. And I'm not sure I've got an easy fix for this except that this is a necessity of modern life. And if people need subsidising to get necessities, if we subsidise their energy, for example, then we should be subsidising their connectivity as well. And then there's this sort of whole digital literacy bit, which is a whole other kettle of fish. And how do we teach people to be properly sophisticated consumers of whatever it is, whether it's social media misinformation, or whether it's price comparison websites, and how to interpret the information that you're getting from those.  Todd Landman  7:18  When I've listened to you, you know, it feels like you're making the case for digital connectivity as almost a public good like access to health care, education, social welfare, social, you know, the social safety net, if you will, is that your view that this really is, you know, akin to the provision of education and health and welfare?  Diane Coyle  7:43  I think it is because it's about conveying information really. And this is the fundamental characteristic of information and how that drives economic growth, particularly in what we call the knowledge economy. And all of this is useful because it gives people information to do things that make their lives easier or better in some way that matters to them. A trivial example might be, you've got an app on your phone that helps you navigate around the city so that you don't waste time because your bus isn't running. So that's one kind of valuable information and the time saving that goes with that. But you know, that's, that's the fundamental point of it. It's accessing public services online is almost essential now, leading your daily life, making it more convenient, making it more enjoyable, in business, using the information that you can get to deliver better services to your customers. So it's all, it's all about information. And that is the key characteristic of information - it is a public good, it's non-rival. Todd Landman  8:38  Ah it is a non-rival public good and it's very interesting that that crosses over with a lot of discourse of the Human Rights field around rights to information, rights to be informed, etc. But also date obligations to progressive really realise that the fulfilment of social, economic and cultural rights. So there's a really interesting communication or conversation, if you will, that could take place between economists and human rights people around the provision of non-rival public goods. But the other thing that I was struck by what you said was this idea about digital literacy about not knowing in a way, how good all this can be for you, but

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The Rights Track podcast gets the hard facts about the human rights challenges facing the world today and aims to get our thinking about human rights on the right track.

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