Ingmar Weber

German computer scientist (born 1978) From Wikipedia, the free encyclopedia

Ingmar Weber is a German computer scientist known for his research on Computational Social Science in which he uses online data to study population behavior. He was the Research Director for Social Computing[1] at the Qatar Computing Research Institute, and is a Professor at Saarland University.[2] He serves as editor-in-chief for EPJ Data Science.[3] Previously, he served as editor-in-chief for the International Conference on Web and Social Media.[4][5] Weber's research has been widely covered in the media.[6][7][8][9][10][11]

Born (1978-09-14) 14 September 1978 (age 47)
ThesisEfficient index structures for and applications of the CompleteSearch engine (2007)
Quick facts Born, Academic background ...
Ingmar Weber
Weber speaking at the ITU AI for Good Global Summit 2018
Born (1978-09-14) 14 September 1978 (age 47)
Academic background
Alma materUniversity of Cambridge, Saarland University
ThesisEfficient index structures for and applications of the CompleteSearch engine (2007)
Doctoral advisorHannah Bast
Academic work
Main interestsComputational social science
Websitehttps://ingmarweber.de/
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Research

Weber currently works with international agencies on developing new methodologies for monitoring international migration and digital gender gaps.

Migration

While at Yahoo! Research, Weber pioneered the use of geo-located email login data to study migration and mobility patterns.[12][13] He has since also analyzed data from Twitter and Google Plus for similar studies.[14][15]

He now works with experts at the European Commission's Joint Research Centre and International Organization for Migration to use Facebook's advertising audience estimates to obtain timely insights into migration flows.[16][17]

Digital Gender Gaps

He works with the United Nations Foundation's Data2X initiative to study digital gender gaps, in particular internet access gender gaps.[18][19] With support by the Data2X initiative he helped create a website for real-time monitoring of different types of digital gender gaps.[20]

Awards and honors

References

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