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• 25 oct 2017

  Seminario - Epistemología y métodos

  Journal transition from subscription model to open access

  De Gruyter webinar

  Serial crisis, sky-rocketing subscription prices as well as more and more widespread and powerful OA mandates have pushed many publishers to rethink the finance of publishing the journals. Considering a switch calls out numerous challenges but it is a path more and more travelled – and importantly so an economically – sustainable and one with long-term benefits – not only for readers, but also for authors and the journal owners, too. In 2014 De Gruyter converted 14 journals to OA – this webinar looks at overarching strategies for journal transition from subs to OA – including current OA publishing landscape and single factors (like managing submissions, citations and funding) that play a role during the process.  Is it worth it? Who will foot the bill? What to expect? And how to bring the EAB on board? The introductory one-hour webinar is built around three sections to allow participants to work out the flipping strategy for their publication and to timely and reasonably plan  the change.

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• 15 mai 2015

  París

  Convocatoria de ponencias - Estudios políticos

  Profile, Predict and Prevent

  Data-driven policies, markets and societies

  Algorithms are increasingly used, both by States,market actors and citizens, for the purpose of profiling. Through big data analysis and inference techniques, an attempt is made to better understand, predict and, in certain cases, prevent citizen behaviour. Data analysis techniques are deployed in many sectors of society, from cyber-security and police investigations to judicial decision-making, from product customization and personalisation to marketing strategies and targeted advertising, from self-monitoring to lifestyle improvement. For this conference, we invite researchers, experts and practitioners from different backgrounds to reflect upon the legal, ethical and social implications of data-driven policies, market transactions and quantified-self techniques. We welcome empirical, theoretical and philosophical contributions regarding profiling, prediction and prevention.

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