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Workshop on Causality and Machine Learning/AI

November 2, 2024

November 2, 2024, from 8:30 a.m. to 5:00 p.m. at Virginia Tech Inn

Scholars from renowned universities such as Cornell, University of Chicago, and UC Irvine, along with various departments at Virginia Tech, are coming together to explore the critical intersections of causality and machine learning/AI. Causality plays a pivotal role in social science, business, and applied economics, shaping the future of machine learning and AI applications in diverse industries. This fundamental concept has earned prestigious recognition, with the 2021 Nobel Prize in Economics and the 2012 Turing Award in Computer Science both honoring contributions to causality. 

The workshop is co-sponsored by the Center for Future Work Places and Practices at Virginia Tech and will take place on Saturday, November 2, 2024, 8:30 am - 5:00 pm, at the Inn at Virginia Tech and Skelton Conference Center. The workshop aims to foster collaborations that transcend traditional boundaries, driving research forward, and aligning closely with the cutting-edge work at Virginia Tech.

Workshop Sessions:

  • Causality in the Age of Generative AI
  • Towards Trustworthy Machine Learning: A Causal Lens on Learning Non-Spuriousness
  • Current and Prospective Uses of AI/ML in Addressing Problems Related to 6G Security
  • Rehabilitating the Once-Abandoned Endogenous IV
  • Causal Machine Learning for Policy Evaluation with Housing Transaction Data
  • Dynamic Treatment Effect Estimation with Interactive Fixed Effects and Short Panels
  • Controlling for problematic responses in survey data: A Causal Forest approach
  • Valid Post-Inference for Contextual Bandit Problems
  • Randomization inference and sensitivity analysis for quantiles of individual treatment effects
  • Estimating Stochastic Block Models in the Presence of Covariates
  • Heterogeneous Complementarity and Team Design
  • Causal Inference in the Presence of Network Interference with Low-Order Interactions

Contact: Le Wang, Director of the Kohl Centre and David M. Kohl Chair and Professor in the Department of Agricultural and Applied Economics, lewangecon@vt.edu

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