Introductory Overview Lecture: Causal Inference in Modern Statistics — Invited Special Presentation
JSM Partner Societies
Chair(s): Richard Levine, San Diego State University
Causal inference is a critical perspective for understanding the implications of decisions that are routinely made in science, policy and practice. This Introductory Overview Lecture reviews the role of causal inference in modern statistical applications and presents an overview of research designs and estimation strategies for estimating causal effects.
Introductory Overview Lecture: Modern Risk Analysis — Invited Special Presentation
JSM Partner Societies
Chair(s): Susan J. Simmons, North Carolina State University
This Introductory Overview Lecture will provide an interdisciplinary overview of how the problem of Risk Analysis is approached from two different perspectives in modern data-analytic settings, environmental risk and adversarial risk. Commonalities are identified between the two perspectives, illustrating the heavy interdisciplinary nature of quantitative risk analysis in the 21st century.