30-31 March 2015 University College London

Run by the Society for the Philosophy of Information.
Organised by Phyllis Illari (Science and Technology Studies, UCL) Giuseppe Primiero (Computer Science, Middlesex University).

Invited speakers

Submission information

Send your 500-1000 words abstract by 23rd January 2015 in doc, docx, txt, rft or pdf format, suitable for anonymous review, to phyllis.illari@ucl.ac.uk.

Issues of interest include (but are not limited to): Causality: how should we find causes in the era of ‘data-driven science’? do we need a new conception of causality to fit with new practices? Quality: how should we ensure that data are good enough quality for the purposes for which we use them? What should we make of the open access movement; what kind of new technologies might be needed? Security: how can we adequately secure data, while making it accessible to those who need it? Big data: what defines big data as a new scientific method?; what is it and what are the challenges? Uncertainty: can big data help with uncertainty, or does it merely generate new uncertainties? what technologies are essential to reduce uncertainty elements in data-driven sciences?

All good quality abstracts on the broad areas described above will be given serious consideration. Abstracts will be refereed by members of the board of the Society.

Important Dates

23 January 2015: Deadline for submission (CLOSED)

13 February 2015: Notification of acceptance

Further information

phyllis.illari@ucl.ac.uk
G.Primiero@mdx.ac.uk

Workshop website

Each workshop is a small scale gathering, with an open Call for Papers to present works in the large variety of research areas that focus on information, both in scientific and conceptual terms. This includes works in progress and we aim at discussing open problems in the area. For a brief presentation of the topics covered by this branch of philosophy, see http://www.socphilinfo.org/about-pi/about-pi.

The Workshop series has had publications in the following Journals: Synthese, Logique & Analyse, Minds & Machines, Topoi. We hope to offer presenters to the Seventh Workshop the chance to submit papers for a Special Issue in a renowned Journal.

With thanks to the School of Science & Technology at Middlesex University, the British Society for the Philosophy of Science, and the Department of Science and Technology Studies, UCL for financial support.