New Books in Technology

The digital revolution has not only transformed multiple aspects of social life – it also shakes sociological theory, transforming the most basic assumptions that have underlain it. In this timely book, Ori Schwarz explores the main challenges digitalization poses to different strands of sociological theory and offers paths to adapt them to new social realities in his book Sociological Theory for Digital Society: The Codes that Bind Us Together, published by Polity Press in 2021.What would symbolic interactionism look like in a world where interaction no longer takes place within bounded situations and is constantly documented as durable digital objects? How should we understand new digitally mediated forms of human association that bind our actions and lives together but have little in common with old-time 'collectives'; and why are they not simply ‘social networks’? How does social capital transform when it is materialized in a digital form, and how does it remold power structures? What happens to our conceptualization of power when faced with the emergence of new forms of algorithmic power? And what happens when labor departs from work? By posing and answering such fascinating questions, and offering critical tools for both students and scholars of social theory and digital society to engage with them, this thought-provoking book draws the outline of future sociological theory for our digital society.Rituparna Patgiri, PhD is an Assistant Professor of Sociology at Indraprastha College for Women, University of Delhi. She has a PhD in Sociology from Jawaharlal Nehru University (JNU), New Delhi. Her research interests lie in the areas of food, media, gender and public. She is also one of the co-founders of Doing Sociology. Patgiri can be reached at @Rituparna37 on Twitter. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

The Constitution of Algorithms: Ground-Truthing, Programming, Formulating (MIT Press, 2021) is a laboratory study that investigates how algorithms come into existence. Algorithms--often associated with the terms big data, machine learning, or artificial intelligence--underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providing an account of where algorithms come from and how they are constituted, investigating the practical activities by which algorithms are progressively assembled rather than what they may suggest or require once they are assembled.Florian Jaton is a Postdoctoral Researcher at the STS Lab, a research unit of the Institute of Social Sciences of the University of Lausanne, Switzerland. Florian studied Philosophy, Mathematics, Literature, and Political Sciences before receiving his PhD in Social Sciences at the University of Lausanne. He also worked at the Donald Bren School of Information and Computer Science at the University of California Irvine and at the Centre de Sociologie de l'Innovation at the École des Mines de Paris. His research interests are the sociology of algorithms, the philosophy of mathematics, and the history of computing. Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

For this episode, I met historian and writer Dr. Lydia Pyne. She is author of Postcards: The Rise and Fall of the World’s First Social Network (Reaktion, 2021).. Postcards is a global exploration of postcards as artifacts at the intersection of history, science, technology, art, and culture. Postcards are usually associated with banal holiday pleasantries, but they are made possible by sophisticated industries and institutions, from printers to postal services. When they were invented, postcards established what is now taken for granted in modern times: the ability to send and receive messages around the world easily and inexpensively.Fundamentally they are about creating personal connections—links between people, places, and beliefs. Lydia Pyne examines postcards on a global scale, to understand them as artifacts that are at the intersection of history, science, technology, art, and culture. In doing so, she shows how postcards were the first global social network and also, here in the twenty-first century, how postcards are not yet extinct.Paula De La Cruz-Fernandez is a consultant, historian, and digital editor. Editor New Books Network en español. Edita CEO. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Prototype Nation: China and the Contested Promise of Innovation (Princeton University Press, 2020) reveals how a growing distrust in Western models of progress and development, including Silicon Valley and the tech industry after the financial crisis of 2007–8, shaped the vision of China as a “new frontier” of innovation. Author Silvia Lindtner unpacks how this promise of entrepreneurial life has influenced governance, education, policy, investment, and urban redesign in ways that normalize the persistence of sexist and racist violence and various forms of labor exploitation.Silvia Margot Lindtner (she/her) is a writer and ethnographer. She is Associate Professor at the University of Michigan in the School of Information and Director of the Center for Ethics, Society, and Computing (ESC). She is also a PIP (Public Intellectual Program) Fellow with the National Committee on United States-China Relations. Lindtner's research focuses on the cultures and politics of technology innovation, including the labor necessary to incubate entrepreneurial life, data-driven futures, and the promise of democratized agency. Drawing from more than ten years of multi-sited ethnographic research, she writes about China's shifting position in the global political economy of computing, supply chains, industrial and agricultural production, and science and technology policy.Host Peter Lorentzen is an Associate Professor in the Department of Economics at the University of San Francisco, where he leads a new Master's program in Applied Economics focused on the digital economy. His own research focuses on China’s political economy and governance. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Many have experienced moments where algorithms have made us uncomfortable or suspicious. In Algorithms and Autonomy: The Ethics of Automated Decision Systems (Cambridge University Press, 2021), Rubel, Phan, and Castro outline the stories of teachers and citizens subject to the criminal justice system who face serious consequences at the hands of algorithms. With a focus on locating the a philosophical touchstone to these harms, the authors look at how ideas of autonomy and freedom are affected by algorithms. When algorithms afford those subject to their decisions no transparency to endorse its use or worse hide responsibility for their decision in a network of actors laundering their own agency, citizens are harmed and democracy is harmed. This book mount a forceful lens of what exactly algorithms in criminal justice, education, housing, elections and beyond can do to autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core.Dr. Alan Rubel is Professor and Director of the Information School at University of Wisconsin Madison. Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Police use of advanced data collection and analysis technologies—or, "big data policing"—continues to receive both positive and negative attention through media, activism, and politics. While some high-profile cases illustrate its potential to hasten investigations or even solve previously unsolved crimes, and others showcase risks to individual liberties and vulnerable communities, we know surprisingly little about how and why police departments actually adopt and deploy these tools.Sarah Brayne's new book, Predict and Surveil: Data, Discretion, and the Future of Policing (Oxford UP, 2021) provides the first in-depth study of these questions. Dr. Brayne recorded observations and interviews over a 5-year period of ethnographic fieldwork and follow-up with the LAPD. In the book, she examines the roles of extra- and intra-departmental factors in the uptake of big data tools, their relationship to the practice and culture of policing, and the impacts and reactions they've precipitated among captains, sworn officers, civilian analysts, and policed communities.A major theme of the book is the role of discretion: While data-driven decision-making tools may promise to replace biased human judgment, in practice they can instead displace human judgment—to earlier and less visible steps in the process, exacerbating the problem they are invoked to solve. Conversely, i was also interested in how Dr. Brayne suggests we shift our perspectives on these tools: She proposes to think of a "big data environment" that shapes our social behavior, and she flips the analogy of data as capital to describe a "cumulative disadvantage" that accrues to those with less access to and control over the data collected on them.Dr. Brayne's study has legal and scholarly as well as policy implications, and it will be of interest to anyone interested in the societal role of data or in that of police. I hope that it becomes part of the foundation for urgently needed future work at their intersection.Suggested companion work: Ballad of the Bullet by Forrest Stuart (listen to Stuart's interview with Sarah E. Patterson here)Sarah Brayne is an Assistant Professor of Sociology at The University of Texas at Austin. Prior to joining the faculty at UT-Austin, she was a Postdoctoral Researcher at Microsoft Research. Dr. Brayne is the founder and director of the Texas Prison Education Initiative, a group of faculty and students who volunteer to teach college classes in prisons throughout Texas. Cory Brunson is an Assistant Professor at the Laboratory for Systems Medicine at the University of Florida. His research focuses on geometric and topological approaches to the analysis of medical and healthcare data. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Privacy is gravely endangered in the digital age, and we, the digital citizens, are its principal threat, willingly surrendering it to avail ourselves of new technology, and granting the government and corporations immense power over us. In Life After Privacy: Reclaiming Democracy in a Surveillance Society (Cambridge UP, 2020), Firmin DeBrabander begins with this premise and asks how we can ensure and protect our freedom in the absence of privacy. Can--and should--we rally anew to support this institution? Is privacy so important to political liberty after all? DeBrabander makes the case that privacy is a poor foundation for democracy, that it is a relatively new value that has been rarely enjoyed throughout history--but constantly persecuted--and politically and philosophically suspect. The vitality of the public realm, he argues, is far more significant to the health of our democracy, but is equally endangered--and often overlooked--in the digital age.Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Today I talked to Shameen Prashantham about his book Gorillas Can Dance: Lessons from Microsoft and Other Corporations on Partnering with Startups (Wiley, 2021).In a nutshell, the distrust that must be overcome in business partnerships involving large companies and startups consists of Will they screw up? versus Will they screw us over? In other words, corporations harbor concerns about the competency and reliability of their startup partners. In turn, entrepreneurs worry that they will be taken advantage of, with their I.P. being co-opted or outright stolen. To establish trust rather than fear isn’t easy, as Dr. Prashantham acknowledges in this episode. A lot of stress can only be resolved by establishing how the partnership is a true win-win. At the same time, the person at the “bridge” on the corporation’s side must be at once an advocate, a diplomat and mentor, spanning boundaries within the corporation to bring multiple business units on-board to ensure the collaboration can succeed. All this and more gets covered in this episode, which concludes by exploring how the answer to what’s the “next China” may actually be China outside of its largest, showcase cities.Dr. Shameen Prasantham is Professor of International Business & Strategy and Associate Dean (MBA) at China Europe International Business School (CEIBS) in Shanghai, China. His academic specialty is business partnerships that contribute to sustainable development goals.Dan Hill, PhD, is the author of nine books and leads Sensory Logic, Inc. (https://www.sensorylogic.com). His new book is Blah, Blah, Blah: A Snarky Guide to Office Lingo. To check out his related “Dan Hill’s EQ Spotlight” blog, visit https://emotionswizard.com. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

For fans of computers and comedy alike, an accessible and entertaining look into how we can use artificial intelligence to make smart machines funny.Most robots and smart devices are not known for their joke-telling abilities. And yet, as computer scientist Tony Veale explains in Your Wit Is My Command (MIT Press, 2021), machines are not inherently unfunny; they are just programmed that way. By examining the mechanisms of humor and jokes—how jokes actually works—Veale shows that computers can be built with a sense of humor, capable not only of producing a joke but also of appreciating one. Along the way, he explores the humor-generating capacities of fictional robots ranging from B-9 in Lost in Space to TARS in Interstellar, maps out possible scenarios for developing witty robots, and investigates such aspects of humor as puns, sarcasm, and offensiveness.In order for robots to be funny, Veale explains, we need to analyze humor computationally. Using artificial intelligence (AI), Veale shows that joke generation is a knowledge-based process—a sense of humor is blend of wit and wisdom. He notes that existing technologies can detect sarcasm in conversation, and explains how some jokes can be pre-scripted while others are generated algorithmically—all while making the technical aspects of AI accessible for the general reader. Of course, there's no single algorithm or technology that we can plug in to make our virtual assistants or GPS voice navigation funny, but Veale provides a computational roadmap for how we might get there.Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In The Power of Experiments: Decision Making in a Data-Driven World (MIT Press, 2021), Michael Luca and Max Bazerman explain the importance of experiments for decision-making in a data-driven world.Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit.In this show, Peter Lorentzen interviews economist Michael Luca about this new book on how organizations—including Google, StubHub, Airbnb, and Facebook—learn from experiments in a data-driven world.Michael Luca, a professor of business administration at Harvard University, is an expert on the design of online platforms and the use of data to inform managerial and policy decision-making.Host Peter Lorentzen is an Associate Professor in the Department of Economics at the University of San Francisco, where he leads a new digital economy-focused Master's program in Applied Economics. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology