Call for papers
Heuristics and Causality in the Sciences (HaCitS)
University College London, London, UK
18-20 May 2023
https://sites.google.com/stevens.edu/hacits2023
This is the fourteenth conference in the Causality in the Sciences series of
conferences. Causality plays a central role in the sciences. Causal inference,
explanation and reasoning are major concerns in fields as diverse as computer
science, psychology, astrophysics, biochemistry, biomedical or social
sciences.
Following Herbert Simon’s work, ideas of heuristics have also been pervasive
in fields as diverse as computer science, psychology, and game theory and are
recently of interest in questions of evidence in philosophy of biology and
biomedical sciences. Heuristics have been understood in many ways, but they
are united by offering problem solving or discovery methods when traditionally
‘optimal’ search is impossible or otherwise undesirable.
These ideas have influenced thinking in many disciplines, and this conference
aims to bring together researchers from multiple disciplines, working on
diverse questions of heuristics and causality. We offer some suggested
topics of interest but encourage submission of abstracts on all related
topics:
- What are heuristics, and what does it mean to search for causes in some less
than optimal way?
- Should we seek one best view of heuristics, or is there potentially a
toolbox of heuristic formalisms that may apply to different areas?
- How should we think about heuristics for non-formal evidence of and
reasoning about causality?
- Are there heuristics that are particularly fruitful for model-building
(perhaps for a specific domain)?
- How does – or should – heuristic search change how we use the resulting
evidence or models?
- Computational methods for causal inference and the tradeoff between provably
correct methods (with strong assumptions) and heuristic methods (that work in
reality but have no guarantees)
- Judgment and decision-making heuristics and how causes fit in
Organizers
Phyllis Illari (Science and Technology Studies, UCL)
Samantha Kleinberg (Computer Science, Stevens Institute of Technology)
and David Lagnado(Psychology, UCL).
Invited speakers
Tobias Gerstenberg, Stanford
Dan Goldstein, Microsoft Research
Sam Johnson, U of Waterloo
Anne Ruth Mackor, Groningen
Lauren Ross, UC Irvine
Important dates
- 1 February 2023: deadline for submission of abstracts (300 words) vis
Microsoft CMT https://cmt3.research.microsoft.com/HaCitS2023
- 15 March 2023: notification of acceptance
- 1 April 2023: deadline for receipt of early-bird registration
Details of registration and payment will be published on the conference
website: https://sites.google.com/stevens.edu/hacits2023
Abstracts will be refereed by the CitS steering committee and local
organizers: Samantha Kleinberg, Phyllis Illari, David Lagnado, Bert Leuridan,
Julian Reiss, Federica Russo, Erik Weber, Jon Williamson
Further information
samantha.kleinberg@stevens.edu
Dr Federica Russo
| http://russofederica.wordpress.com | @federicarusso | Zoom: https:/
/uva-live.zoom.us/my/federicarusso | https://orcid.org/0000-0002-1993-9697
Department of Philosophy & ILLC, University of Amsterdam
Honorary Professor, University College London, Department of Science and
Technology Studies
Digital Society, Editor-in-Chief
European Philosophy of Science Association - Member of the Steering Committee
Institute for Advanced Study - UvA | Member of the Management Team
Recent publications:
Russo F. (2022) Techno-Scientific Practices. An Informational Approach.
Rowman&Littlefield International.
Brave R., Russo F., Uzovic O., Wagemans J. (2022) Can an AI analyze arguments?
Argument-checking and the challenges of assessing the quality of online
information. In El Morr C. (eds) AI and Society: Opportunities and Tensions,
CRC Taylor and Francis.
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