CfP: Data-Intensive Science, Hannover, October 26-27
Website: dataintensivescience.
Confirmed Speakers
Stefano Canali (Leibniz Universität Hannover)
Gregor Halfmann (University of Exeter)
Koray Karaca (Universiteit Twente)
Sabina Leonelli (University of Exeter)
Wolgang Pietsch (Technical University of Munich)
Federica Russo (Universiteit van Amsterdam)
Judith Simon (University of Hamburg)
Call for Papers
Discussions on the role of data in the
sciences have acquired a central position in current philosophy of
science. As part of a wider critical debate on the rhetoric of ‘big
data’, philosophical discussions are now focused on the practices
involved in the use of data in specific scientific disciplines,
documenting challenges and benefits of working with data and studying
the ethical dimensions of what is known as “data-intensive science”.
This workshop is aimed at promoting and
further expanding this line of research, by focusing on a number of
particularly important questions for the debate:
Discussions on these issues will follow a
practice-based approach to philosophy of science, thus aiming at
studying actual contexts of practice in the sciences, as well as at
improving and advancing scientific practice itself by highlighting its
potentially problematic aspects.
How to submit an abstract
Philosophers of science and researchers
from other areas with interests in these issues, including PhD
candidates and early career researchers, are encouraged to submit an
abstract of up to 500 words.
Abstract should be sent in anonymised
version to permit blinded review. Please state your name, affiliation
and title of the abstract only in the body of your email.
The final deadline for abstract submission is 2 June 2017.
- What is the role played by ‘traditional’ aspects of scientific research (e.g. experiments, causal discovery, etc.) in data-intensive science?
- Which kind of practical and methodological issues are part of scientific practices involved in the use of (big) data?
- Which modes of integration are made necessary by the need of using different kinds of data regarding significantly different phenomena?
- Which role should we conceive for values in data-intensive science?
- Does data-intensive science entail new aspects of responsibility? If so, which notion of responsibility do we need and which aspects should we highlight?
Organisation and Contact
The workshop is organised by Stefano
Canali, Mathias Frisch and Thomas Reydon, Institute of Philosophy,
Leibniz Universität Hannover.
For any queries please contact Stefano Canali: stefano.canali@philos.