Stefaan Verhulst
Book by Nick Couldry: “We are told that progress requires human beings to be connected, and that science, medicine and much else that is good demands the kind massive data collection only possible if every thing and person are continuously connected.
But connection, and the continuous surveillance that connection makes possible, usher in an era of neocolonial appropriation. In this new era, social life becomes a direct input to capitalist production, and data – the data collected and processed when we are connected – is the means for this transformation. Hence the need to start counting the costs of connection.
Capturing and processing social data is today handled by an emerging social quantification sector. We are familiar with its leading players, from Acxiom to Equifax, from Facebook to Uber. Together, they ensure the regular and seemingly natural conversion of daily life into a stream of data that can be appropriated for value. This stream is extracted from sensors embedded in bodies and objects, and from the traces left by human interaction online. The result is a new social order based on continuous tracking, and offering unprecedented new opportunities for social discrimination and behavioral influence. This order has disturbing consequences for freedom, justice and power — indeed, for the quality of human life.
The true violence of this order is best understood through the history of colonialism. But because we assume that colonialism has been replaced by advanced capitalism, we often miss the connection. The concept of data colonialism can thus be used to trace continuities from colonialism’s historic appropriation of territories and material resources to the datafication of everyday life today. While the modes, intensities, scales and contexts of dispossession have changed, the underlying function remains the same: to acquire resources from which economic value can be extracted.
In data colonialism, data is appropriated through a new type of social relation: data relations. We are living through a time when the organization of capital and the configurations of power are changing dramatically because of this contemporary form of social relation. Data colonialism justifies what it does as an advance in scientific knowledge, personalized marketing, or rational management, just as historic colonialism claimed a civilizing mission. Data colonialism is global, dominated by powerful forces in East and West, in the USA and China. The result is a world where, wherever we are connected, we are colonized by data.
Where is data colonialism heading in the long term? Just as historical colonialism paved the way for industrial capitalism, data colonialism is paving the way for a new stage of capitalism whose outlines we only partly see: the capitalization of life without limit. There will be no part of human life, no layer of experience, that is not extractable for economic value. Human life will be there for mining by corporations without reserve as governments look on appreciatively. This process of capitalization will be the foundation for a highly unequal new social arrangement, a social order that is deeply incompatible with human freedom and autonomy.
But resistance is still possible, drawing on past and present decolonial struggles, as well as the on the best of the humanities, philosophy, political economy, information and social science. The goal is to name what is happening and imagine better ways of living together without the exploitation on which today’s models of ‘connection’ are founded….(More)”
Sheri Fink in The New York Times: “The company called One Concern has all the characteristics of a buzzy and promising Silicon Valley start-up: young founders from Stanford, tens of millions of dollars in venture capital and a board with prominent names.
Its particular niche is disaster response. And it markets a way to use artificial intelligence to address one of the most vexing issues facing emergency responders in disasters: figuring out where people need help in time to save them.
That promise to bring new smarts and resources to an anachronistic field has generated excitement. Arizona, Pennsylvania and the World Bank have entered into contracts with One Concern over the past year. New York City and San Jose, Calif., are in talks with the company. And a Japanese city recently became One Concern’s first overseas client.
But when T.J. McDonald, who works for Seattle’s office of emergency management, reviewed a simulated earthquake on the company’s damage prediction platform, he spotted problems. A popular big-box store was grayed out on the web-based map, meaning there was no analysis of the conditions there, and shoppers and workers who might be in danger would not receive immediate help if rescuers relied on One Concern’s results.
“If that Costco collapses in the middle of the day, there’s going to be a lot of people who are hurt,” he said.
The error? The simulation, the company acknowledged, missed many commercial areas because damage calculations relied largely on residential census data.
One Concern has marketed its products as lifesaving tools for emergency responders after earthquakes, floods and, soon, wildfires. But interviews and documents show the company has often exaggerated its tools’ abilities and has kept outside experts from reviewing its methodology. In addition, some product features are available elsewhere at no charge, and data-hungry insurance companies — whose interests can diverge from those of emergency workers — are among One Concern’s biggest investors and customers.
Some critics even suggest that shortcomings in One Concern’s approach could jeopardize lives….(More)”.
Paper by David Rolnick et al: “Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change….(More)”.
Book by Barnali Choudhury and Martin Petrin: “In a world where the grocery store may be more powerful than the government and corporations are the governors rather than the governed, the notion of corporations being only private actors is slowly evaporating. Gone is the view that corporations can focus exclusively on maximizing shareholder wealth. Instead, the idea that corporations owe duties to the public is capturing the attention of not only citizens and legislators, but corporations themselves. This book explores the deepening connections between corporations and the public. It explores timely – and often controversial – public issues with which corporations must grapple including the corporate purpose, civil and criminal liability, taxation, human rights, the environment and corruption. Offering readers an encompassing, balanced, and systematic understanding of the most pertinent duties corporations should bear, how they work, whether they are justified, and how they should be designed in the future, this book clarifies corporations’ roles vis-à-vis the public….(More)”.
Paper by Arthur Campbell, C. Matthew Leister and Yves Zenou: “Because of its impacts on democracy, there is an important debate on whether the recent trends towards greater use of social media increases or decreases (political) polarization. One challenge for understanding this issue is how social media affects the equilibrium prevalence of different types of media content. We address this issue by developing a model of a social media network where there are two types of news content: mass-market (mainstream news) and niche-market (biased or more “extreme” news) and two different types of individuals who have a preference for recommending one or other type of content. We find that social media will amplify the prevalence of mass-market content and may result in it being the only type of content consumed. Further, we find that greater connectivity and homophily in the social media network will concurrently increase the prevalence of the niche market content and polarization. We then study an extension where there are two lobbying agents that can and wish to influence the prevalence of each type of content. We find that the lobbying agent in favor of the niche content will invest more in lobbying activities. We also show that lobbying activity will tend to increase polarization, and that this effect is greatest in settings where polarization would be small absent of lobbying activity. Finally, we allow individuals to choose the degree of homophily amongst their connections and demonstrate that niche-market individuals exhibit greater homophily than the mass-market ones, and contribute more to polarization….(More)”.
Paper by Yunsoo Lee and Hindy Lauer Schachter: “Theories of deliberative and stealth democracy offer different predictions on the relationship between trust in government and citizen participation. To help resolve the contradictory predictions, this study used the World Values Survey to examine the influence of trust in government on citizen participation. Regression analyses yielded mixed results. As deliberative democracy theory predicts, the findings showed that people who trust governmental institutions are more likely to vote and sign a petition. However, the data provided limited support for stealth democracy in that trust in government negatively affects the frequency of attending a demonstration….(More)”.
Joshua Becker and Edward “Ned” Smith in Havard Business Review: “How useful is the wisdom of crowds? For years, it has been recognized as producing incredibly accurate predictions by aggregating the opinions of many people, allowing even amateur forecasters to beat the experts. The belief is that when large numbers of people make forecasts independently, their errors are uncorrelated and ultimately cancel each other out, which leads to more accurate final answers.
However, researchers and pundits have argued that the wisdom of crowds is extremely fragile, especially in two specific circumstances: when people are influenced by the opinions of others (because they lose their independence) and when opinions are distorted by cognitive biases (for example, strong political views held by a group).
In new research, we and our colleagues zeroed in on these assumptions and found that the wisdom of crowds is more robust than previously thought — it can even withstand the groupthink of similar-minded people. But there’s one important caveat: In order for the wisdom of crowds to retain its accuracy for making predictions, every member of the group must be given an equal voice, without any one person dominating. As we discovered, the pattern of social influence within groups — that is, who talks to whom and when — is the key determinant of the crowd’s accuracy in making predictions….(More)”.
Handbook by Douwe Korff and Marie Georges: “This Handbook was prepared for and is used in the EU-funded “T4DATA” training‐of-trainers programme. Part I explains the history and development of European data protection law and provides an overview of European data protection instruments including the Council of Europe Convention and its “Modernisation” and the various EU data protection instruments relating to Justice and Home Affairs, the CFSP and the EU institutions, before focusing on the GDPR in Part II. The final part (Part III) consists of detailed practical advice on the various tasks of the Data Protection Officer now institutionalised by the GDPR. Although produced for the T4DATA programme that focusses on DPOs in the public sector, it is hoped that the Handbook will be useful also to anyone else interested in the application of the GDPR, including DPOs in the private sector….(More)”.
Report by the Pew Research Center: “In an era when science and politics often appear to collide, public confidence in scientists is on the upswing, and six-inten Americans say scientists should play an active role in policy debates about scientific
issues, according to a new Pew Research Center survey.
The survey finds public confidence in scientists on par with confidence in the military. It also exceeds the levels of public confidence in other groups and institutions, including the media, business leaders and elected officials.
At the same time, Americans are divided along party lines in terms of how they view the value and objectivity of scientists and their ability to act in the public interest. And, while political divides do not carry over to views of all scientists and scientific issues, there are particularly sizable gaps between Democrats and Republicans when it comes to trust in scientists whose work is related to the environment.
Higher levels of familiarity with the work of scientists are associated with more positive and more trusting views of scientists regarding their competence, credibility and commitment to the public, the survey shows….(More)”.
Centre for Humanitarian Data: “Survey and needs assessment data, or what is known as ‘microdata’, is essential for providing adequate response to crisis-affected people. However, collecting this information does present risks. Even as great effort is taken to remove unique identifiers such as names and phone numbers from microdata so no individual persons or communities are exposed, combining key variables such as location or ethnicity can still allow for re-identification of individual respondents. Statistical Disclosure Control (SDC) is one method for reducing this risk.
The Centre has developed a Guidance Note on Statistical Disclosure Control that outlines the steps involved in the SDC process, potential applications for its use, case studies and key actions for humanitarian data practitioners to take when managing sensitive microdata. Along with an overview of what SDC is and what tools are available, the Guidance Note outlines how the Centre is using this process to mitigate risk for datasets shared on HDX. …(More)”.