ACM Distinguished Speakers Program:  talks by and with technology leaders and innovators

Distinguished ACM Speaker:
Ingmar Weber
Based in Qatar

Bio:

Dr. Ingmar Weber is a senior scientist in the Social Computing group 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.


Digital Library Author Page

Available Lectures:

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  • 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 challenges of using Twitter data to analyze phenomena ranging ...
  • 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 computer science methods to address research questions in ...
  • 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 feasibility of using social media to study health both at...

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