DATACTIVE: The politics of big data

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Data Activism: The Politics of Big Data according to Civil Society (DATACTIVE) is a research project funded by a Starting Grant of the European Research Council (StG-2014_639379) awarded to Stefania Milan as Principal Investigator (2015-2020). It explores the evolution of activism and citizen participation vis-à-vis the datafication of society--and by extension it contributes to imagine the future of liberal democracy.

DATACTIVE also identifies the DATACTIVE Research Collective, based at the Department of Media Studies of the University of Amsterdam. The DATACTIVE project has its own website ( that you can visit to check out the team, as well as get updated information about the events we organize, our publications and whereabouts. Check out the summary of the research below.

Data Activism: The Politics of Big Data according to Civil Society
With the diffusion of ‘big data’, citizens become increasingly aware of the critical role of information in modern societies. This awareness gives rise to new social practices rooted in technology and data, which I term ‘data activism’. While activists see massive data collection by governments and businesses as a challenge to civil rights, big data also offer new opportunities for collective action.
This research will investigate civil society’s engagement with massive data collection, addressing three research questions: How do citizens resist massive data collection by means of technical fixes (re-active data activism)? How do social movements use big data to foster social change (pro-active data activism)? How does data activism affect the dynamics of transnational civil society, and transnational advocacy networks in particular?

The project will develop a multidisciplinary conceptual framework integrating social movement studies, science and technology studies and international relations. It will analyze organizational forms, action repertoires and the enabling role of software in data activism, and will identify emerging structures and strategies of transnational advocacy networks. Data will be collected via qualitative (interviews with activists, field observations, infrastructure ethnography on software platforms) and computational methods (such as data mining in online repositories).

‪This research is groundbreaking in four ways: 1) by analyzing civil society’s engagement with massive data collection, it evaluates risks and promises of big data; 2) by addressing an uncharted but rapidly growing field of human action, it sets the basis for understanding future civic engagement; 3) by integrating adjacent disciplines that seldom interact, it magnifies their ability to understand the interplay between society, information, technology and power; 4) by developing dedicated data collection tools, it adds to methodological innovation in big-data analytics. ‬‬‬‬‬‬