Attend the Upcoming CSSS Seminar with Emre Kiciman, Senior Principal Researcher at Microsoft Research AI

Posted: 1/29/2023 (Local Events)

The Center for Statistics and the Social Sciences Seminar Series has their next seminar on Wednesday, February 1 at 12:30 pm. Emre Kiciman, Senior Principal Researcher at Microsoft Research AI, will give a seminar titled, “Lessons being learned from an open-source causal AI suite.”

This seminar will be offered as a hybrid session. Below please find the abstract and information about joining in-person or on Zoom.

Abstract:

Critical data science and decision-making questions across a wide variety of domains are fundamentally causal questions.  Answering these questions via causal analysis requires combining human domain expertise and sophisticated analytical frameworks in ways that often challenge practitioners.  In this presentation, I will describe some of Microsoft’s contributions towards an open-source causal AI suite that aims to broaden access to causal methods, including the DoWhy library for scaffolding best practices of a trustworthy causal analysis; the EconML library for estimation methods based on the latest advances in causal machine learning; the Causica library for end-to-end causal discovery and effect inference; and the ShowWhy no-code interfaces for causal machine learning tasks.  I will describe some of the applications of our tools and the lessons we are learning from their usage, including three topics that represent what we see as particularly critical open research challenges: how we elicit and capture domain knowledge; methods for validation, refutation, and sensitivity analyses; and support for unstructured and high-dimensional text and image data within a causal analysis.

This seminar will be located at 409 Savery Hall

To join by Zoom, please use the information below.

Join Zoom Meeting

https://washington.zoom.us/j/91889204671

Time: 12:30 pm

Deadline: 02/01/2023

Location: 409 Savery Hall