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<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fstevens.edu%2Fhacits2023&data=05%7C01%7Cskleinbe%40stevens.edu%7Cce1f39db6dd84929aa3e08dabe550d4c%7C8d1a69ec03b54345ae21dad112f5fb4f%7C0%7C0%7C638031569778254165%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=XZc4dr9%2BmokUMhvVQhr4Zm95Bl6oosUBpEfHhx4cC0I%3D&reserved=0>



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<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fstevens.edu%2Fhacits2023&data=05%7C01%7Cskleinbe%40stevens.edu%7Cce1f39db6dd84929aa3e08dabe550d4c%7C8d1a69ec03b54345ae21dad112f5fb4f%7C0%7C0%7C638031569778410415%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=KXlGfCBx5E44jzasYvmwqFILvcIGWDInJ%2BTHXGRkNgo%3D&reserved=0>



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.kleinb...@stevens.edu






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