Seventh workshop on the philosophy of 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

13 February 2015: Notification of acceptance