Inoltro questa call sperando sia di interesse. "How is data science influencing the social contract? And what are the opportunities for evolving international norms and rules in response to transnational practices of data science and global data markets?" *From:*L.E.M. Taylor [mailto:L.E.M.Taylor@uvt.nl] *Sent:* 9 November, 2016 12:06 PM *To:* Ines Hasselberg *Subject:* TILTing 2017 CFP At TILT we’re in the process of organising the Tilting conference (www.tilburguniversity.edu/tilting2017 <http://www.tilburguniversity.edu/tilting2017>), to take place May 17-19 2017. There’s a data science track, for which I am responsible, which I’d like to make as broad and inclusive as possible – see the outline that follows below. If any of you are interested in pulling together a panel, or making a presentation, about your current research interests or to try out new ideas, you are very welcome. It will be a very diverse crowd and we’re hoping to create good conversations and alliances. The website is now open for the submission of panel and paper ideas. I’d be grateful if you could also send this out to your networks, as I’d also very much like to reach the people you are currently talking to about your research. Best regards, Linnet Data Science track Data science —the practice of organizing, analyzing and using new sources of digital data—, is transforming societies around the world, but that transformation is largely invisible. Algorithmic sorting and categorization, machine learning and artificial intelligence, data emitted through people’s use of technology, from the internet of things and by smart environments are contributing to new types of visibility and changing power dynamics between people, corporations and governments. The use of digital data in policy and planning creates the power to understand and visualize in new ways, but also to monitor and influence to an unprecedented extent. Similarly, the use of digital traces in research is transforming many fields, but with associated shifts in power and practice. Data science therefore has implications for rights, for culture and research, for how economic growth, development and social justice are conceptualized and practiced, and also for modes of resistance and organizing. How are societies balancing the use of data analytics for economic growth, knowledge and security with the need to preserve ‘the play of everyday practice’ (Cohen 2012)? How is data science influencing the social contract? And what are the opportunities for evolving international norms and rules in response to transnational practices of data science and global data markets? Suggested themes Suggested topics for contributions include, but are not limited to: · Cybersecurity and data governance · Algorithmic cultures and related political and social dynamics, including algorithmic accountability · The global implications of data science and data markets · Social and regulatory challenges relating to the Internet of Things · The social and regulatory implications of smart environments · The effects of data science on media and communications · The interaction between data science and culture · The ethics of data science and related technologies · The implications of data science for academic research Questions For questions about possible presentation topics for this track, please contact Dr. Linnet Taylor: L.E.M.Taylor@tilburguniversity.edu <http://Mailto:L.E.M.Taylor@tilburguniversity.edu/>