Date & Time:
November 26, 2018 2:00 pm – 3:00 pm
11/26/2018 02:00 PM 11/26/2018 03:00 PM America/Chicago Emre Kiciman: Answering Ad Hoc Causal Questions in Web Search

Many people use web search engines for expectation exploration: exploring what might happen if they take some action, or how they should expect some situation to evolve. While search engines have databases to provide structured answers to many questions, there is no database about the outcomes of actions or the evolution of situations. The information we need to answer such questions, however, is already being recorded. On social media, for example, hundreds of millions of people are publicly reporting about the actions they take and the situations they are in, and an increasing range of events and activities experienced in their lives over time. In this presentation, we demonstrate how causal methods can be applied to such individual-level, longitudinal records to generate answers for computational social science questions in the areas of mental health, risky behavior, and others, and how these methods can be extended to support web search on expectation exploration queries.

Emre Kiciman

Microsoft Research

Emre Kıcıman is a principal researcher at Microsoft Research AI, where he works at the intersection of social computing, machine learning, and information retrieval. His research focus is on causal analysis of large-scale datasets, as well as the broader implications of AI on people and society. Emre’s past research includes entity linking methods, deployed in the Bing search engine; and foundational work on applying machine learning to manage reliability of large-scale internet services.

Related News & Events

UChicago CS News

UChicago Team Wins The NIH Long COVID Computational Challenge

Jun 28, 2023
UChicago CS News

UChicago Assistant Professor Raul Castro Fernandez Receives 2023 ACM SIGMOD Test-of-Time Award

Jun 27, 2023
UChicago CS News

PhD Student Kevin Bryson Receives NSF Graduate Research Fellowship to Create Equitable Algorithmic Data Tools

Apr 14, 2023
UChicago CS News

Computer Science Displays Catch Attention at MSI’s Annual Robot Block Party

Apr 07, 2023
UChicago CS News

UChicago / School of the Art Institute Class Uses Art to Highlight Data Privacy Dangers

Apr 03, 2023
Students posing at competition
UChicago CS News

UChicago Undergrad Team Places Second Overall In Regionals For World’s Largest Programming Competition

Mar 17, 2023
UChicago CS News

Postdoc Alum John Paparrizos Named ICDE Rising Star

Mar 15, 2023
Young students on computers
UChicago CS News

UChicago and NYU Research Team Finds Edtech Tools Could Pose Privacy Risks For Students

Feb 21, 2023
Garcia sitting in a jet engine
UChicago CS News

Student Spotlight: Gabi Garcia’s Bridge Between CS and Classics

Jan 30, 2023
UChicago CS News

UChicago Launches Transform Accelerator for Data Science & Emerging AI Startups

Jan 19, 2023
Two students looking at a wearable device
UChicago CS News

High School Students Find Their Place in Computing Through Wearables Workshop

Jan 13, 2023
UChicago CS News

UChicago CS Research Finds New Angle on Database Query Processing with Geometry

Nov 08, 2022
arrow-down-largearrow-left-largearrow-right-large-greyarrow-right-large-yellowarrow-right-largearrow-right-smallbutton-arrowclosedocumentfacebookfacet-arrow-down-whitefacet-arrow-downPage 1CheckedCheckedicon-apple-t5backgroundLayer 1icon-google-t5icon-office365-t5icon-outlook-t5backgroundLayer 1icon-outlookcom-t5backgroundLayer 1icon-yahoo-t5backgroundLayer 1internal-yellowinternalintranetlinkedinlinkoutpauseplaypresentationsearch-bluesearchshareslider-arrow-nextslider-arrow-prevtwittervideoyoutube