A New Model for Industry-Academic Partnerships


Working Paper by Gary King and Nathaniel Persily: “The mission of the academic social sciences is to understand and ameliorate society’s greatest challenges. The data held by private companies holds vast potential to further this mission. Yet, because of its interaction with highly politicized issues, customer privacy, proprietary content, and differing goals of firms and academics, these data are often inaccessible to university researchers.

We propose here a new model for industry-academic partnerships that addresses these problems via a novel organizational structure: Respected scholars form a commission which, as a trusted third party, receives access to all relevant firm information and systems, and then recruits independent academics to do research in specific areas following standard peer review protocols organized and funded by nonprofit foundations.

We also report on a partnership we helped forge under this model to make data available about the extremely visible and highly politicized issues surrounding the impact of social media on elections and democracy. In our partnership, Facebook will provide privacy-preserving data and access; seven major politically and substantively diverse nonprofit foundations will fund the research; and the Social Science Research Council will oversee the peer review process for funding and data access….(More)”.

From Crowdsourcing to Extreme Citizen Science: Participatory Research for Environmental Health


P.B. English, M.J. Richardson, and C. Garzón-Galvis in the Annual Review of Public Health: “Environmental health issues are becoming more challenging, and addressing them requires new approaches to research design and decision-making processes. Participatory research approaches, in which researchers and communities are involved in all aspects of a research study, can improve study outcomes and foster greater data accessibility and utility as well as increase public transparency. Here we review varied concepts of participatory research, describe how it complements and overlaps with community engagement and environmental justice, examine its intersection with emerging environmental sensor technologies, and discuss the strengths and limitations of participatory research. Although participatory research includes methodological challenges, such as biases in data collection and data quality, it has been found to increase the relevance of research questions, result in better knowledge production, and impact health policies. Improved research partnerships among government agencies, academia, and communities can increase scientific rigor, build community capacity, and produce sustainable outcomes….(More)”

Practical approaches to big data privacy over time


Micah Altman, Alexandra Wood, David R O’Brien and Urs Gasser in International Data Privacy Law: “

  • Governments and businesses are increasingly collecting, analysing, and sharing detailed information about individuals over long periods of time.
  • Vast quantities of data from new sources and novel methods for large-scale data analysis promise to yield deeper understanding of human characteristics, behaviour, and relationships and advance the state of science, public policy, and innovation.
  • The collection and use of fine-grained personal data over time, at the same time, is associated with significant risks to individuals, groups, and society at large.
  • This article examines a range of long-term research studies in order to identify the characteristics that drive their unique sets of risks and benefits and the practices established to protect research data subjects from long-term privacy risks.
  • We find that many big data activities in government and industry settings have characteristics and risks similar to those of long-term research studies, but are subject to less oversight and control.
  • We argue that the risks posed by big data over time can best be understood as a function of temporal factors comprising age, period, and frequency and non-temporal factors such as population diversity, sample size, dimensionality, and intended analytic use.
  • Increasing complexity in any of these factors, individually or in combination, creates heightened risks that are not readily addressable through traditional de-identification and process controls.
  • We provide practical recommendations for big data privacy controls based on the risk factors present in a specific case and informed by recent insights from the state of the art and practice….(More)”.

Citizen Sensing: A Toolkit


Book from Making Sense: “Collaboration using open-source technologies makes it possible to create new and powerful forms of community action, social learning and citizenship. There are now widely accessible platforms through which we can come together to make sense of urgent challenges, and discover ways to address these. Together we can shape our streets, neighbourhoods, cities and countries – and in turn, shape our future. You can join with others to become the solution to challenges in our environment, in our communities and in the way we live together.

In this book, there are ideas and ways of working that can help you build collective understanding and inspire others to take action. By coming together with others on issues you identify and define yourselves, and by designing and using the right tools collaboratively, both your awareness and ability to act will be improved. In the process, everyone involved will have better insights, better arguments and better discussions; sometimes to astonishing effect!

We hope this book will help you engage people to learn more about an issue that concerns you, support you to take action, and change the world for the better. This resource will teach you how to scope your questions, identify and nurture relevant communities, and plan an effective campaign. It will then help you gather data and evidence, interpret your findings, build awareness and achieve tangible outcomes. Finally, it will show you how to reflect on these outcomes, and offers suggestions on how you can leave a lasting legacy.

This book is intended to help community activists who are curious or concerned about one or more issues, whether local or global, and are motivated to take action. This resource can also be of value to professionals in organisations which support community actions and activists. Finally, this book will be of interest to researchers in the fields of citizen science, community activism and participatory sensing, government officials and other public policy actors who wish to include citizens’ voices in the decision-making process…(More)”.

How Democracy Can Survive Big Data


Colin Koopman in The New York Times: “…The challenge of designing ethics into data technologies is formidable. This is in part because it requires overcoming a century-long ethos of data science: Develop first, question later. Datafication first, regulation afterward. A glimpse at the history of data science shows as much.

The techniques that Cambridge Analytica uses to produce its psychometric profiles are the cutting edge of data-driven methodologies first devised 100 years ago. The science of personality research was born in 1917. That year, in the midst of America’s fevered entry into war, Robert Sessions Woodworth of Columbia University created the Personal Data Sheet, a questionnaire that promised to assess the personalities of Army recruits. The war ended before Woodworth’s psychological instrument was ready for deployment, but the Army had envisioned its use according to the precedent set by the intelligence tests it had been administering to new recruits under the direction of Robert Yerkes, a professor of psychology at Harvard at the time. The data these tests could produce would help decide who should go to the fronts, who was fit to lead and who should stay well behind the lines.

The stakes of those wartime decisions were particularly stark, but the aftermath of those psychometric instruments is even more unsettling. As the century progressed, such tests — I.Q. tests, college placement exams, predictive behavioral assessments — would affect the lives of millions of Americans. Schoolchildren who may have once or twice acted out in such a way as to prompt a psychometric evaluation could find themselves labeled, setting them on an inescapable track through the education system.

Researchers like Woodworth and Yerkes (or their Stanford colleague Lewis Terman, who formalized the first SAT) did not anticipate the deep consequences of their work; they were too busy pursuing the great intellectual challenges of their day, much like Mr. Zuckerberg in his pursuit of the next great social media platform. Or like Cambridge Analytica’s Christopher Wylie, the twentysomething data scientist who helped build psychometric profiles of two-thirds of all Americans by leveraging personal information gained through uninformed consent. All of these researchers were, quite understandably, obsessed with the great data science challenges of their generation. Their failure to consider the consequences of their pursuits, however, is not so much their fault as it is our collective failing.

For the past 100 years we have been chasing visions of data with a singular passion. Many of the best minds of each new generation have devoted themselves to delivering on the inspired data science promises of their day: intelligence testing, building the computer, cracking the genetic code, creating the internet, and now this. We have in the course of a single century built an entire society, economy and culture that runs on information. Yet we have hardly begun to engineer data ethics appropriate for our extraordinary information carnival. If we do not do so soon, data will drive democracy, and we may well lose our chance to do anything about it….(More)”.

The Age of Perplexity: Rethinking the World we Knew


BVBA Open Access Book: “The impact of globalization, of technological progress and of the insecurity that they cause is reflected in people’s decisions, and by the path that our society is following. This path that will decide our future, in the sense that it will determine our capability of facing the challenges and taking advantage of the opportunities offered up by the advances in science and technology.

In this book, we look at generalized subjects, taking in the transformation that computing and the greater availability of information brings to our perceptions and understanding of things, and in the social imaginaries, that shape our attitudes and reactions to the events that we observe.
All this underpins the changes in politics we are witnessing, the appearance of populist movements or, more generally, the lack of commitment or disaffection with political institutions and the values that support the existing democracies. In these arenas, the new digital media, new types of digital political activism, and the rise of movements that question the dominant economic and political paradigm all play a key role.

In the supranational and geopolitical level we discuss the importance of incorporating a feminist perspective to international relations (as well, of course, as to all the spheres of human activity); new types of warfare, in which neither the contenders, strategies or media resemble anything we knew before; the huge geopolitical challenge represented by the complex and diverse Arab Islamic question; the end of the brief unipolar world era, with the emergence of powers that question the United States’ hegemony, among which we highlight China; or the future role of Latin America in the global map.

Regarding the economic questions that are at the root of the current perplexity, insecurity and discontent, we examine the impact of globalization and technological change on growth, the welfare state and, above all, employment.

From this base, we look at which are the most suitable economic policies and forms of organization for harnessing the potential of the digital revolution, and also for minimizing the risks of a society with increasing inequality, with a huge number of jobs taken over by machines, or even the loss of control of individual or collective decisions.

This technological revolution will undoubtedly require a complex transition process, but we also have before us a wonderful opportunity to better tend to the needs and demands of people: with more growth, jobs and a fairer distribution of wealth, and a richer and fuller life for the whole of humanity….(More)”.

Reapplying behavioral symmetry: public choice and choice architecture


Michael David Thomas in Public Choice: “New justifications for government intervention based on behavioral psychology rely on a behavioral asymmetry between expert policymakers and market participants. Public choice theory applied the behavioral symmetry assumption to policy making in order to illustrate how special interests corrupt the suppositions of benevolence on the part of policy makers. Cognitive problems associated with market choices have been used to argue for even more intervention.

If behavioral symmetry is applied to the experts and not just to market participants, problems with this approach to public policy formation become clear. Manipulation, cognitive capture, and expert bias are among the problems associated with a behavioral theory of market failure. The application of behavioral symmetry to the expanding role of choice architecture will help to limit the bias in behavioral policy. Since experts are also subject to cognitive failures, policy must include an evaluation of expert error. Like the rent-seeking literature before it, a theory of cognitive capture points out the systematic problems with a theory of asymmetry between policy experts and citizens when it comes to policy making….(More)”.

A Clever Smartphone Attachment Will Show if Water Is Contaminated


Victor Tangermann in Futurism: “…astronomers from the University of Leiden in the Netherlands… are developing a simple smartphone attachment that makes it ridiculously, comically easy to measure the quality of water by pointing the tool at it, nothing more.

The tool’s primary purpose isn’t just so that you can whet your whistle in any lake, river, or creek you deem tasty-looking  quick and precise measurements of water pollution can be hugely beneficial for science. This kind of data can steer environmental policies on a national level. Citizens can tell if their drinking water is contaminated. Fishermen are able to determine the quality of their catch, and how pollution could affect local fish populations. Polluted water can even determine human migration patterns by forcing fishermen to move or give up their trade altogether….

There’s a precedent that have researchers hopeful. In 2013, the same team of astronomers and toxicologists developed the iSPEX (Spectropolarimeter for Planetary EXploration) — a smartphone attachment that can measure air pollution. Dutch citizens, along with people in cities from Athens to London, took thousands of measurements of the particulates in the air. The result: a detailed map of dust particles over the Netherlands and beyond.

The technology behind the smartphone attachment actually is a spin-off of sophisticated astronomy technology that can tell if oxygen is present on planets around other stars. This also foregoes the need to take local samples and send them back to the lab — a relatively expensive process that can take a lot longer….(More)”.

Cambridge Analytica scandal: legitimate researchers using Facebook data could be collateral damage


 at The Conversation: “The scandal that has erupted around Cambridge Analytica’s alleged harvesting of 50m Facebook profiles assembled from data provided by a UK-based academic and his company is a worrying development for legitimate researchers.

Political data analytics company Cambridge Analytica – which is affiliated with Strategic Communication Laboratories (SCL) – reportedly used Facebook data, after it was handed over by Aleksandr Kogan, a lecturer at the University of Cambridge’s department of psychology.

Kogan, through his company Global Science Research (GSR) – separate from his university work – gleaned the data from a personality test app named “thisisyourdigitallife”. Roughly 270,000 US-based Facebook users voluntarily responded to the test in 2014. But the app also collected data on those participants’ Facebook friends without their consent.

This was possible due to Facebook rules at the time that allowed third-party apps to collect data about a Facebook user’s friends. The Mark Zuckerberg-run company has since changed its policy to prevent such access to developers….

Social media data is a rich source of information for many areas of research in psychology, technology, business and humanities. Some recent examples include using Facebook to predict riots, comparing the use of Facebook with body image concern in adolescent girls and investigating whether Facebook can lower levels of stress responses, with research suggesting that it may enhance and undermine psycho-social constructs related to well-being.

It is right to believe that researchers and their employers value research integrity. But instances where trust has been betrayed by an academic – even if it’s the case that data used for university research purposes wasn’t caught in the crossfire – will have a negative impact on whether participants will continue to trust researchers. It also has implications for research governance and for companies to share data with researchers in the first place.

Universities, research organisations and funders govern the integrity of research with clear and strict ethics proceduresdesigned to protect participants in studies, such as where social media data is used. The harvesting of data without permission from users is considered an unethical activity under commonly understood research standards.

The fallout from the Cambridge Analytica controversy is potentially huge for researchers who rely on social networks for their studies, where data is routinely shared with them for research purposes. Tech companies could become more reluctant to share data with researchers. Facebook is already extremely protective of its data – the worry is that it could become doubly difficult for researchers to legitimately access this information in light of what has happened with Cambridge Analytica….(More)”.

As If: Idealization and Ideals


Book by Kwame Anthony Appiah: “Idealization is a fundamental feature of human thought. We build simplified models in our scientific research and utopias in our political imaginations. Concepts like belief, desire, reason, and justice are bound up with idealizations and ideals. Life is a constant adjustment between the models we make and the realities we encounter. In idealizing, we proceed “as if” our representations were true, while knowing they are not. This is not a dangerous or distracting occupation, Kwame Anthony Appiah shows. Our best chance of understanding nature, society, and ourselves is to open our minds to a plurality of imperfect depictions that together allow us to manage and interpret our world.

The philosopher Hans Vaihinger first delineated the “as if” impulse at the turn of the twentieth century, drawing on Kant, who argued that rational agency required us to act as if we were free. Appiah extends this strategy to examples across philosophy and the human and natural sciences. In a broad range of activities, we have some notion of the truth yet continue with theories that we recognize are, strictly speaking, false. From this vantage point, Appiah demonstrates that a picture one knows to be unreal can be a vehicle for accessing reality.

As If explores how strategic untruth plays a critical role in far-flung areas of inquiry: decision theory, psychology, natural science, and political philosophy. A polymath who writes with mainstream clarity, Appiah defends the centrality of the imagination not just in the arts but in science, morality, and everyday life…(More)”.