We are organising a one-day workshop in the end of August for researchers working on, or participating in, initiatives that aim for societally sustainable data practices. The workshop is part of the academic programme within the MyData 2017 conference. See the call text below:
Call for abstracts: Our data futures
Datafication, referring to the conversion of life into digital data, generates new societal opportunities alongside power asymmetries. Initiatives, such as MyData, Open mHealth, MIDATA.coop, Hub of All Things, and Open Humans take datafication as a starting point, but try to steer data flows and data practices in a societally more sustainable direction. These initiatives address asymmetries in terms of data usage and distribution, or inadequacies of existing ethical and regulatory frameworks; they push for the rearticulation of concepts such as participation, sharing, governance, or public good.
This workshop of the MyData 2017 conference invites scholars, participating in and studying such data-driven initiatives, to discuss how the capacities of data technology might be harnessed to promote social justice, new forms of agency, political participation, and collective action. We are also interested in research on data activism and how uses of data challenge accepted norms, assumptions and ideological projects. The aim is to promote debate on the ways forms of data are thought to guide, or shape us as we move into data futures, and whether the data initiatives succeed in promoting new communities of producers and users of data.
Workshop: 30.8.2017 at Tallinn University, Tallinn, Estonia
Abstract deadline: 300 words by 2.5.2017
Details are available at http://mydata2017.org/session/our-data-futures/
Minna Ruckenstein, University of Helsinki
Indrek Ibrus, Tallinn University
Tuukka Lehtiniemi, Helsinki Institute for Information Technology
The workshop is arranged in connection with MyData 2017 conference, Helsinki, Finland & Tallinn, Estonia. Information on the academic workshops of the conference is available at http://mydata2017.org/programme/academic/.