Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Session Overview
Session
IP06: Jonas Peters: Data Science and Causality
Time:
Thursday, 11/Jul/2019:
1:30pm - 2:30pm

Location: vonRoll, Fabrikstr. 6, 001
468 seats, 433 m^2

Presentations
1:30pm - 2:30pm

Data Science and Causality

Jonas Peters

University of Copenhagen, Denmark

In data science, we are used to infer models that predict the observed data as well as possible. In causality, we try to understand how a system reacts under interventions, e.g., in gene knock-out experiments. Bringing together data science and causality may yield two benefits. (1) One may try to learn causal models from observations, and (2) enhancing standard regression or classification techniques with causal ideas may yield models that generalize better to unseen experiments. In this talk, we introduce the concept of causality, discuss ideas for addressing the above goals, and mention open problems that could benefit from an algebraic geometry point of view. No prior knowledge about causality is required.