Between Truth and Power The Legal Constructions of Informational Capitalism


Book by Julie Cohen: “Our current legal system is to a great extent the product of an earlier period of social and economic transformation. From the late nineteenth century through the mid-twentieth century, as accountability for industrial-age harms became a pervasive source of conflict, the U.S. legal system underwent profound, tectonic shifts. Today, ownership of information-age resources and accountability for information-age harms have become pervasive sources of conflict, and different kinds of change are emerging.

In Between Truth and Power, Julie E. Cohen explores the relationships between legal institutions and political and economic transformation. Systematically examining struggles over the conditions of information flow and the design of information architectures and business models, she argues that as law is enlisted to help produce the profound economic and socio-technical shifts that have accompanied the emergence of the informational economy, it is too is transforming in fundamental ways. Drawing on elements from legal theory, science and technology studies, information studies, communication studies and organization studies to develop a complex theory of institutional change, Cohen develops an account of the gradual emergence of legal institutions adapted to the information age and of the power relationships that such institutions reflect and reproduce….(More)”.

Data Protection in the Humanitarian Sector – A Blockchain Approach


Report by Andrej Verity and Irene Solaiman: “Data collection and storage are becoming increasingly digital. In the humanitarian sector, data motivates action, informing organizations who then determine priorities and resource allocation in crises.

“Humanitarians are dependent on technology and on the Internet. When life-saving aid isn’t delivered on time and to the right beneficiaries, people can die.” -Brookings

In the age of information and cyber warfare, humanitarian organizations must take measures to protect civilians, especially those in critical and vulnerable positions.

“Data privacy and ensuring protection from harm, including the provision of data security, are therefore fundamentally linked—and neither can be realized without the other.” -The Signal Code

Information in the wrong hands can risk lives or even force aid organizations to shut down. For example, in 2009, Sudan expelled over a dozen international nongovernmental organizations (NGOs) that were deemed key to maintaining a lifeline to 4.7 million people in western Darfur. The expulsion occurred after the Sudanese Government collected Internet-accessible information that made leadership fear international criminal charges. Responsible data protection is a crucial component of cybersecurity. As technology develops, so do threats and data vulnerabilities. Emerging technologies such as blockchain provide further security to sensitive information and overall data storage. Still, with new technologies come considerations for implementation…(More)”.

Quadratic Payments: A Primer


Blogpost by Vitalik Buterin: “If you follow applied mechanism design or decentralized governance at all, you may have recently heard one of a few buzzwords: quadratic votingquadratic funding and quadratic attention purchase. These ideas have been gaining popularity rapidly over the last few years, and small-scale tests have already been deployed: the Taiwanese presidential hackathon used quadratic voting to vote on winning projects, Gitcoin Grants used quadratic funding to fund public goods in the Ethereum ecosystem, and the Colorado Democratic party also experimented with quadratic voting to determine their party platform.

To the proponents of these voting schemes, this is not just another slight improvement to what exists. Rather, it’s an initial foray into a fundamentally new class of social technology which, has the potential to overturn how we make many public decisions, large and small. The ultimate effect of these schemes rolled out in their full form could be as deeply transformative as the industrial-era advent of mostly-free markets and constitutional democracy. But now, you may be thinking: “These are large promises. What do these new governance technologies have that justifies such claims?”…(More)”.

Collective Intelligence: A Taxonomy and Survey


Paper by Feijuan He et al: “Collective intelligence (CI) refers to the intelligence that emerges at the macro-level of a collection and transcends that of the individuals. CI is a continuously popular research topic that is studied by researchers in different areas, such as sociology, economics, biology, and artificial intelligence. In this survey, we summarize the works of CI in various fields. First, according to the existence of interactions between individuals and the feedback mechanism in the aggregation process, we establish CI taxonomy that includes three paradigms: isolation, collaboration and feedback. We then conduct statistical literature analysis to explain the differences among three paradigms and their development in recent years. Second, we elaborate the types of CI under each paradigm and discuss the generation mechanism or theoretical basis of the different types of CI. Third, we describe certain CI-related applications in 2019, which can be appropriately categorized by our proposed taxonomy. Finally, we summarize the future research directions of CI under each paradigm. We hope that this survey helps researchers understand the current conditions of CI and clears the directions of future research….(More)”

The Crowd and the Cosmos: Adventures in the Zooniverse


Book by Chris Lintott: “The world of science has been transformed. Where once astronomers sat at the controls of giant telescopes in remote locations, praying for clear skies, now they have no need to budge from their desks, as data arrives in their inbox. And what they receive is overwhelming; projects now being built provide more data in a few nights than in the whole of humanity’s history of observing the Universe. It’s not just astronomy either – dealing with this deluge of data is the major challenge for scientists at CERN, and for biologists who use automated cameras to spy on animals in their natural habitats. Artificial intelligence is one part of the solution – but will it spell the end of human involvement in scientific discovery?

No, argues Chris Lintott. We humans still have unique capabilities to bring to bear – our curiosity, our capacity for wonder, and, most importantly, our capacity for surprise. It seems that humans and computers working together do better than computers can on their own. But with so much scientific data, you need a lot of scientists – a crowd, in fact. Lintott found such a crowd in the Zooniverse, the web-based project that allows hundreds of thousands of enthusiastic volunteers to contribute to science.

In this book, Lintott describes the exciting discoveries that people all over the world have made, from galaxies to pulsars, exoplanets to moons, and from penguin behavior to old ship’s logs. This approach builds on a long history of so-called “citizen science,” given new power by fast internet and distributed data. Discovery is no longer the remit only of scientists in specialist labs or academics in ivory towers. It’s something we can all take part in. As Lintott shows, it’s a wonderful way to engage with science, yielding new insights daily. You, too, can help explore the Universe in your lunch hour…(More)”.

Defining concepts of the digital society


A special section of Internet Policy Review edited by Christian Katzenbach and Thomas Christian Bächle: “With this new special section Defining concepts of the digital society in Internet Policy Review, we seek to foster a platform that provides and validates exactly these overarching frameworks and theories. Based on the latest research, yet broad in scope, the contributions offer effective tools to analyse the digital society. Their authors offer concise articles that portray and critically discuss individual concepts with an interdisciplinary mindset. Each article contextualises their origin and academic traditions, analyses their contemporary usage in different research approaches and discusses their social, political, cultural, ethical or economic relevance and impact as well as their analytical value. With this, the authors are building bridges between the disciplines, between research and practice as well as between innovative explanations and their conceptual heritage….(More)”

Algorithmic governance
Christian Katzenbach, Alexander von Humboldt Institute for Internet and Society
Lena Ulbricht, Berlin Social Science Center

Datafication
Ulises A. Mejias, State University of New York at Oswego
Nick Couldry, London School of Economics & Political Science

Filter bubble
Axel Bruns, Queensland University of Technology

Platformisation
Thomas Poell, University of Amsterdam
David Nieborg, University of Toronto
José van Dijck, Utrecht University

Privacy
Tobias Matzner, University of Paderborn
Carsten Ochs, University of Kassel

Causal Inference: What If


Book by Miguel A. Hernán, James M. Robins: “Causal Inference is an admittedly pretentious title for a book. Causal inference is a complex scientific task that relies on triangulating evidence from multiple sources and on the application of a variety of methodological approaches. No book can possibly provide a comprehensive description of methodologies for causal inference across the sciences. The authors of any Causal Inference book will have to choose which aspects of causal inference methodology they want to emphasize.

The title of this introduction reflects our own choices: a book that helps scientists–especially health and social scientists–generate and analyze data to make causal inferences that are explicit about both the causal question and the assumptions underlying the data analysis. Unfortunately, the scientific literature is plagued by studies in which the causal question is not explicitly stated and the investigators’ unverifiable assumptions are not declared. This casual attitude towards causal inference has led to a great deal of confusion. For example, it is not uncommon to find studies in which the effect estimates are hard to interpret because the data analysis methods cannot appropriately answer the causal question (were it explicitly stated) under the investigators’ assumptions (were they declared).

In this book, we stress the need to take the causal question seriously enough to articulate it, and to delineate the separate roles of data and assumptions for causal inference. Once these foundations are in place, causal inferences become necessarily less casual, which helps prevent confusion. The book describes various data analysis approaches that can be used to estimate the causal effect of interest under a particular set of assumptions when data are collected on each individual in a population. A key message of the book is that causal inference cannot be reduced to a collection of recipes for data analysis.

The book is divided in three parts of increasing difficulty: Part I is about causal inference without models (i.e., nonparametric identification of causal effects), Part II is about causal inference with models (i.e., estimation of causal effects with parametric models), and Part III is about causal inference from complex longitudinal data (i.e., estimation of causal effects of time-varying treatments)….(More) (Additional Material)”.

Contract for the Web


About: “The Web was designed to bring people together and make knowledge freely available. It has changed the world for good and improved the lives of billions. Yet, many people are still unable to access its benefits and, for others, the Web comes with too many unacceptable costs.

Everyone has a role to play in safeguarding the future of the Web. The Contract for the Web was created by representatives from over 80 organizations, representing governments, companies and civil society, and sets out commitments to guide digital policy agendas. To achieve the Contract’s goals, governments, companies, civil society and individuals must commit to sustained policy development, advocacy, and implementation of the Contract’s text…(More)”.

Access My Info (AMI)


About: “What do companies know about you? How do they handle your data? And who do they share it with?

Access My Info (AMI) is a project that can help answer these questions by assisting you in making data access requests to companies. AMI includes a web application that helps users send companies data access requests, and a research methodology designed to understand the responses companies make to these requests. Past AMI projects have shed light on how companies treat user data and contribute to digital privacy reforms around the world.

What are data access requests?

A data access request is a letter you can send to any company with products/services that you use. The request asks that the company disclose all the information it has about you and whether or not it has shared your data with any third-parties. If the place where you live has data protection laws that include the right to data access then companies may be legally obligated to respond…

AMI has made personal data requests in jurisdictions around the world and found common patterns.

  1. There are significant gaps between data access laws on paper and the law in practice;
  2. People have consistently encountered barriers to accessing their data.

Together with our partners in each jurisdiction, we have used Access My Info to set off a dialog between users, civil society, regulators, and companies…(More)”

A New Wave of Deliberative Democracy


Essay by Claudia Chwalisz: “….Deliberative bodies such as citizens’ councils, assemblies, and juries are often called “deliberative mini-publics” in academic literature. They are just one aspect of deliberative democracy and involve randomly selected citizens spending a significant period of time developing informed recommendations for public authorities. Many scholars emphasize two core defining featuresdeliberation (careful and open discussion to weigh the evidence about an issue) and representativeness, achieved through sortition (random selection).

Of course, the principles of deliberation and sortition are not new. Rooted in ancient Athenian democracy, they were used throughout various points of history until around two to three centuries ago. Evoked by the Greek statesman Pericles in 431 BCE, the ideas—that “ordinary citizens, though occupied with the pursuits of industry, are still fair judges of public matters” and that instead of being a “stumbling block in the way of action . . . [discussion] is an indispensable preliminary to any wise action at all”—faded to the background when elections came to dominate the contemporary notion of democracy.

But the belief in the ability of ordinary citizens to deliberate and participate in public decisionmaking has come back into vogue over the past several decades. And it is modern applications of the principles of sortition and deliberation, meaning their adaption in the context of liberal representative democratic institutions, that make them “democratic innovations” today. This is not to say that there are no longer proponents who claim that governance should be the domain of “experts” who are committed to govern for the general good and have superior knowledge to do it. Originally espoused by Plato, the argument in favor of epistocracy—rule by experts—continues to be reiterated, such as in Jason Brennan’s 2016 book Against Democracy. It is a reminder that the battle of ideas for democracy’s future is nothing new and requires constant engagement.

Today’s political context—characterized by political polarization; mistrust in politicians, governments, and fellow citizens; voter apathy; increasing political protests; and a new context of misinformation and disinformation—has prompted politicians, policymakers, civil society organizations, and citizens to reflect on how collective public decisions are being made in the twenty-first century. In particular, political tensions have raised the need for new ways of achieving consensus and taking action on issues that require long-term solutions, such as climate change and technology use. Assembling ordinary citizens from all parts of society to deliberate on a complex political issue has thus become even more appealing.

Some discussions have returned to exploring democracy’s deliberative roots. An ongoing study by the Organization for Economic Co-operation and Development (OECD) is analyzing over 700 cases of deliberative mini-publics commissioned by public authorities to inform their decisionmaking. The forthcoming report assesses the mini-publics’ use, principles of good practice, and routes to institutionalization.3 This new area of work stems from the 2017 OECD Recommendation of the Council on Open Government, which recommends that adherents (OECD members and some nonmembers) grant all stakeholders, including citizens, “equal and fair opportunities to be informed and consulted and actively engage them in all phases of the policy-cycle” and “promote innovative ways to effectively engage with stakeholders to source ideas and co-create solutions.” A better understanding of how public authorities have been using deliberative mini-publics to inform their decisionmaking around the world, not just in OECD countries, should provide a richer understanding of what works and what does not. It should also reveal the design principles needed for mini-publics to effectively function, deliver strong recommendations, increase legitimacy of the decisionmaking process, and possibly even improve public trust….(More)”.