Cited by many (seriously check it here)
2020 |
|
![]() | Taylor, Linnet; Meissner, Fran A Crisis of Opportunity: Market‐Making, Big Data, and the Consolidation of Migration as Risk Journal Article Antipode, 52 (1), pp. 270-290, 2020. Abstract | BibTeX | Tags: autonomy of migration, big data, data governance, global migration, migration statistics, refugee crisis, solutionism | Links: @article{Taylor2020, title = {A Crisis of Opportunity: Market‐Making, Big Data, and the Consolidation of Migration as Risk}, author = {Linnet Taylor and Fran Meissner}, url = {https://doi.org/10.1111/anti.12583}, doi = {10.1111/anti.12583}, year = {2020}, date = {2020-01-02}, journal = {Antipode}, volume = {52}, number = {1}, pages = {270-290}, abstract = {Crisis narratives surrounding Europe’s 2015 migration influx fuelled demands for new ways of tracking, mapping and predicting human mobility. We explore how market opportunities for technology firms and data analytics start‐ups created by the EU’s Global Approach to Migration led to solutionistic approaches to compiling and analysing migration statistics. We show that initiatives such as the rebranding of existing platforms and services as migration prediction systems are consolidating policy conceptualisations of migration as risk. Despite the promise of greater granularity, this “big data approach” cannot offer greater certainty about who is on the move and why. Instead such approaches are ill‐suited to understanding the complex dynamics of migration and to offering protection to vulnerable people. The marketisation of migration statistics through big data offers a key case for advancing progressive approaches to both migration statistics and global data justice.}, keywords = {autonomy of migration, big data, data governance, global migration, migration statistics, refugee crisis, solutionism}, pubstate = {published}, tppubtype = {article} } Crisis narratives surrounding Europe’s 2015 migration influx fuelled demands for new ways of tracking, mapping and predicting human mobility. We explore how market opportunities for technology firms and data analytics start‐ups created by the EU’s Global Approach to Migration led to solutionistic approaches to compiling and analysing migration statistics. We show that initiatives such as the rebranding of existing platforms and services as migration prediction systems are consolidating policy conceptualisations of migration as risk. Despite the promise of greater granularity, this “big data approach” cannot offer greater certainty about who is on the move and why. Instead such approaches are ill‐suited to understanding the complex dynamics of migration and to offering protection to vulnerable people. The marketisation of migration statistics through big data offers a key case for advancing progressive approaches to both migration statistics and global data justice. |
2014 |
|
![]() | Participants, Bellagio Big Data Workshop Big Data and Positive Social Change in the Developing World: A White Paper for Practitioners and Researchers Miscellaneous 2014. Abstract | BibTeX | Tags: big data | Links: @misc{meissner37legal, title = {Big Data and Positive Social Change in the Developing World: A White Paper for Practitioners and Researchers}, author = {Bellagio Big Data Workshop Participants}, url = {https://www.rockefellerfoundation.org/report/big-data-and-positive-social-change-in-the-developing-world/ https://assets.rockefellerfoundation.org/app/uploads/20140507222100/Big-Data-and-Positive-Social-Change-in-the-Developing-World.pdf}, year = {2014}, date = {2014-00-00}, address = {Oxford}, institution = {Oxford Internet Institute}, abstract = {This white paper was produced by a group of activists, researchers and data experts who met at the Rockefeller Foundation’s Bellagio Centre to discuss the question of whether, and how, big data is becoming a resource for positive social change in low- and middle-income countries (LMICs). Our working definition of big data includes, but is not limited to, sources such as social media, mobile phone use, digitally mediated transactions, the online news media, and administrative records. Our analysis makes a strong case that it is time for civil society groups in particular to become part of the conversation about the power of data. These groups are the connectors between individuals and governments, corporations and governance institutions, and have the potential to promote big data analysis that is locally driven and rooted. Civil society groups are also crucially important but currently underrepresented in debates about privacy and the rights of technology users, and civil society as a whole has a responsibility for building critical awareness of the ways big data is being used to sort, categorise and intervene in LMICs by corporations, governments and other actors. Big data is shaping up to be one of the key battlefields of our era, incorporating many of the issues civil society activists worldwide have been working on for decades. We hope that this paper can inform organisations and individuals as to where their particular interests may gain traction in the debate, and what their contribution may look like.}, keywords = {big data}, pubstate = {published}, tppubtype = {misc} } This white paper was produced by a group of activists, researchers and data experts who met at the Rockefeller Foundation’s Bellagio Centre to discuss the question of whether, and how, big data is becoming a resource for positive social change in low- and middle-income countries (LMICs). Our working definition of big data includes, but is not limited to, sources such as social media, mobile phone use, digitally mediated transactions, the online news media, and administrative records. Our analysis makes a strong case that it is time for civil society groups in particular to become part of the conversation about the power of data. These groups are the connectors between individuals and governments, corporations and governance institutions, and have the potential to promote big data analysis that is locally driven and rooted. Civil society groups are also crucially important but currently underrepresented in debates about privacy and the rights of technology users, and civil society as a whole has a responsibility for building critical awareness of the ways big data is being used to sort, categorise and intervene in LMICs by corporations, governments and other actors. Big data is shaping up to be one of the key battlefields of our era, incorporating many of the issues civil society activists worldwide have been working on for decades. We hope that this paper can inform organisations and individuals as to where their particular interests may gain traction in the debate, and what their contribution may look like. |