Dr.  Ingmar G Weber Digital Library

Based in Doha, Qatar
Ingmar G Weber


Dr. Ingmar Weber is the Research Director for Social Computing at the Qatar Computing Research Institute (QCRI). His interdisciplinary research uses large amounts of online data from social media and other sources to study human behavior at scale. Particular topics of interest include studying obesity and population health, quantifying international migration using digital methods, and looking at political polarization and extremism.

As an undergraduate he studied mathematics at Cambridge University (1999-2003), before pursuing a PhD at the Max-Planck Institute for Computer Science (2003-2007). He subsequently held positions at Ecole Polytechnique Federale de Lausanne (2007-2009) and Yahoo Research Barcelona (2009-2012), as well as a visiting researcher position at Microsoft Research Cambridge (summer 2008). He serves on a number of program committees for top-tier conferences in the domain of web data mining and social media analysis including ICWSM, KDD, WWW, ACL, VLDB and WebSci, as well as on the editorial board for the Journal of Web Science.

Dr. Weber has given a number of tutorials at major conferences, including “Computational Social Science for the World Wide Web” (WWW’16), “Twitter and the Real World” (CIKM’13) and “Data-Driven Political Science” (WSDM’13). He has published over 100 peer-reviewed articles and his work is frequently featured in popular press.

Available Lectures

To request a single lecture/event, click on the desired lecture and complete the Request Lecture Form.

  • A Digital Socioscope
    How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This talk introduces the audience to the methods, opportunities, and...
  • Digital Demography
    Demography is the science of human populations and, at its most basic, focuses on the processes of (i) fertility, (ii) mortality and (iii) migration. Knowing basic population characteristics if of...
  • Introduction to Computational Social Science
    Due to the increasing availability of large-scale data on human behavior collected on the social web, as well as advances in analyzing larger and larger data sets, interest in applying...
  • Using Social Media for Health Studies
    Given that users share all kinds of minutiae on social media, can this noisy, crowd-sourced data be used for health studies? This talk presents a number of recent examples that show the...

To request a tour with this speaker, please complete this online form.

If you are not requesting a tour, click on the desired lecture and complete the Request this Lecture form.

All requests will be sent to ACM headquarters for review.