Information Retrieval & Crowdsourcing Lab, University of Texas at Austin
The University of Texas at Austin     The University of 
Texas at Austin   The University of Texas at Austin

Information Retrieval & Crowdsourcing Lab  ·  UT Austin

group photo

Hook 'em, Horns!

Main Lab: (512) 232-1189 · Director's Office: (512) 471-9350
1616 Guadalupe Ste 5.202
Austin, TX 78701-1213
Campus box: D8600
Room: UTA 5.520 · 5th floor map

LAB DIRECTOR: Matthew Lease

RESEARCH: Mission & Overview · Publications · Datasets & Software · December 2013 News Blurb

Area: Crowdsourcing & Human Computation for Information Retrieval (IR)
Meme Browser (ACM Hypertext, 2012) · paper · video · Amazon award
Talk: The Rise of Crowd Computing (SxSW, March 11, 2016, slides)
Panel Talk: Toward Effective & Sustainable Online Crowd Work (Microsoft Research Faculty Summit, July 15, 2014, abstract, slides)
Talk: Statistical Crowdsourcing: From Aggregating Judgments to Search Engine Evaluation (U. of Washington, June 2, 2014, slides)
Demo: Personalizing Local Search with Twitter (ENIR Workshop at ACM SIGIR, 2011)
Demo: Mobile options for online public access catalogs (iConference 2011)
Two papers presented at ACL 2017; read the story (August 3, 2017)
Project developing Arabic Websearch technologies (November 4, 2015)
SQUARE: open source benchmark for consensus methods for human computation
Past work
Data-Intensive Computing with MapReduce @ UT Austin: website · news story · launch announcement
REACTION: Retrieval, Extraction and Aggregation Computing Technology for Integrating and Organizing News

CURRENT PHD STUDENTS (as of Fall 2017)


Byron Wallace (Northeastern University)


Shruti Bhosale, 2014, LinkedIn
Hyunjoon Jung, 2015 (Google Scholar), Apple
Ivan Oropeza, 2015, Google
Hohyon Ryu, 2012, AirBnB
Aashish Sheshadri, 2014, PayPal Labs
Donna Vakharia, 2014, PayPal
Haofeng Zhou, 2015, Amazon


What's it like in an Information School (iSchool)? See Wobbrock et al.'s short manifesto
UT Austin iSchool Facts

Prospective Visiting scholars
Prospective graduate students: Graduate Study in IR at UT Austin
Current MSIS students

  • Consider a culminating capstone report (one-semester) or thesis (two semesters) in IR
  • Earn a coursework specialization in Information Retrieval or Crowdsourcing / Human Computation
Undergraduates: inquire regarding research opportunities or visit EUREKA!. Independent course credit is possible (e.g., in computer science). Undergraduates have co-authored research papers with us in the past. Also see the CNS page on Undergraduate Research.

High School Students: apply for UT's Summer Research Academy