I’m very excited to be in Doha and to be part of QCRI and to have a chance to contribute to its exciting and ambitious mission.
Ingmar Weber works in the emerging area of Computational Social Science. In his interdisciplinary research, Ingmar addresses research problems of societal relevance by using large amounts of online data to study human behavior at scale. He works with medical professionals, demographic researchers and sociologists on a wide range of topics. His particular interests include (i) using social media for monitoring public health, (ii) developing digital methods for studying international migration, and (iii) understanding the dynamics behind online polarization.
Ingmar joined QCRI in November 2012, and has since been a key person in building up the Social Computing group. Prior to joining QCRI, he spent three years at Yahoo Research in Barcelona (2009-2012), working on large-scale web mining projects, including work on the interplay between demographic attributes and web search behavior, and work on studying international migration using global email communication information. Earlier he spent two years as a postdoc at the Ecole Polytechnique Fédérale de Lausanne (2007-2009) and two months as a visiting researcher at Microsoft Research Cambridge (summer 2008).
During his scientific career, Ingmar has published more than 100 peer-reviewed articles on topics ranging from efficient data structures for search engines during his PhD, to algorithms for pricing web search-sponsored search auctions during his time as a postdoc, to current work on large-scale studies on human behavior.
His work is not only highly regarded scientifically, e.g. winning the best paper award at the 2016 AAAI Conference on Web and Social Media but is also frequently featured by mainstream media such as the Washington Post and Forbes, as well as political science magazines such as Foreign Policy.
In the Media
Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...
Machine Learning and Data Analytics Symposium - MLDAS 2019 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...
Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.
Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.
Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.