Schedule (FINAL)

May 18 

Session chair: Phyllis Illari

10:00-11:00am Keynote: Lauren Ross Causal varieties as heuristics

11:00-11:30am Coffee break

11:30-12:30pm Contributed talks

• Heuristics for causal enquiry from the perspective of Evidential Pluralism Jon Williamson

• Fake News Legislation: Heuristics Vs. Evidential Pluralism Alexandra Trofimov

12:30-2:00pm Lunch 

Session chair: Jon Williamson

2:00-3:00pm Contributed talks

• Heuristics for theory choice in cognitive archaeology Anton Killin

• Causal Reasoning with Gradual and Abrupt Events Vanessa Cheung, Cristina Leone, Dave Lagnado, Samantha Kleinberg

3:00-3:30pm Coffee break

3:30-4:30pm Keynote: Tobias Gerstenberg 

4:30-5:00pm Contributed talk

• Bootstrap learning complex causal concepts Bonan Zhao, Christopher Lucas, Neil Bramley

6:00pm Conference dinner at Hoppers (Marylebone)

May 19

Session chair: Samantha Kleinberg

10:00-11:00am Keynote: Dan Goldstein Model assisted judgmental bootstrapping: Can incorrect predictions help elicit correct predictions?

11:00-11:30am Coffee break

11:30-12:30pm Contributed talks

• How do we build mental models from ambiguous evidence? A mixed-methods study Stephen H. Dewitt, Ekaterina Stoilova

• Data Leakage detection in causal machine learning Margarida A Costa, Inês Dutra, João Vinagre

12:30-2:00pm Lunch 

Session chair: Erik Weber

2:00-3:00pm Contributed talks

• A System for Optimizing Molecular Treatment Effects in Non-Small Cell Lung Cancer using Causal Meta Learners Kevin L. Matlock

• Examining Transient Part–Part Interactions toward Improving the Quality of Causal Mechanistic Explanations in Cell Biology Sepehr Ehsani

3:00-3:30pm Coffee break

3:30-4:30pm Keynote: Anne Ruth Mackor

4:30-5:00pm Contributed talk

• Synthetic Design: Heuristics Supported by Structural/Causal Explanation William Goodwin

5:30-7:00pm Poster session

• Confirmation Bias Emerges from an Approximation to Bayesian Reasoning

• Tell Me Your (Cognitive) Budget, and I’ll Tell You What You Value: Granularity, Agential Values, and Data in Mutual Heuristics for Inferring Each Other in Generic Causal Claims about the Social World

• The cost of heuristic assumptions in causal inference

• Blame attribution in human-AI and human-only systems: Crowdsourcing judgments from Twitter

• Choosing with unknown causal information: Action-outcome probabilities for decision making can be grounded in causal models

• Mental models of common effect structures: Fixed Pie or Swiss Cheese?

• Heuristics for causal selection in policymaking

• Feature attribution as a proxy for causal explanations in machine learning

May 20

Session chair: Dave Lagnado

10:00-11:00am Keynote: Sam Johnson Narratives, Heuristics, and the Currency of Thought

11:00-11:30am Coffee break

11:30-1:00pm Contributed talks

• Multiple Causes and Zero-sum strategies Toby D Pilditch, Alice Liefgreen, David A Lagnado

• Revealing causal cognition through language use in the recollection of traumatic experiences: can causal language predict mental health outcomes? Cristina Leone, Chelsea Kilimnik, Laura Niemi

• Heuristic Versus Justificatory Reasoning In Evidence-Based Policy Erik Weber, Qianru Wang