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 is also an ACM Distinguished Member,[6] as well as an ACM Distinguished Speaker.[7] Weber's research has been widely covered in the media.[8][9][10][11][12]
Ingmar Weber | |
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![]() Weber speaking at the ITU AI for Good Global Summit 2018 | |
Born | |
Nationality | German |
Academic background | |
Alma mater | University of Cambridge, Saarland University |
Thesis | Efficient index structures for and applications of the CompleteSearch engine (2007) |
Doctoral advisor | Hannah Bast |
Academic work | |
Main interests | Computational social science |
Website | https://ingmarweber.de/ |
He has been awarded an Alexander von Humboldt Professorship in AI.[13]
Research
editWeber currently works with international agencies on developing new methodologies for monitoring international migration and digital gender gaps.
Migration
editWhile at Yahoo! Research, Weber pioneered the use of geo-located email login data to study migration and mobility patterns.[14][15] He has since also analyzed data from Twitter and Google Plus for similar studies.[16][17]
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.[18][19]
Digital Gender Gaps
editHe works with the United Nations Foundation's Data2X initiative to study digital gender gaps, in particular internet access gender gaps.[20][21] With support by the Data2X initiative he helped create a website for real-time monitoring of different types of digital gender gaps.[22]
References
edit- ^ "Qatar Computing Research Institute: Our People". QCRI. 22 April 2020.
- ^ "Professors, Junior Faculty and Emeriti".
- ^ "EPJ Data Science: Editorial Board". Springer. Retrieved 22 August 2021.
- ^ "International Conference on Web and Social Media: Editorial Team". ICWSM. Retrieved 14 November 2018.
- ^ "International Conference on Web and Social Media: Organization". ICWSM. Retrieved 14 November 2018.
- ^ "Association for Computing Machinery: 2021 Distinguished Members". Association for Computing Machinery. Retrieved 8 April 2022.
- ^ "Association for Computing Machinery: Distinguished Speakers". Association for Computing Machinery. Retrieved 22 August 2021.
- ^ "How Twitter Explains Egypt's Bloody Politics". Foreign Policy. 10 July 2013. Retrieved 14 November 2018.
- ^ "What people say before a break-up vs. what they say after". The Washington Post. 25 September 2014. Retrieved 14 November 2018.
- ^ "Quiz: Can we guess your age and income, based solely on the apps on your phone?". The Washington Post. 3 March 2016. Retrieved 14 November 2018.
- ^ "Atheists Tweet More Often Than Muslims, Jews And Christians: Study". HuffPost. 6 October 2014. Retrieved 14 November 2018.
- ^ "Ingmar Weber - Humboldt Professorship for AI 2023".
- ^ You are where you e-mail: using e-mail data to estimate international migration rates. ACM New York, NY, USA ©2012. 2012. pp. 348–351. doi:10.1145/2380718.2380764. ISBN 978-1-4503-1228-8. S2CID 10165430. Retrieved 14 November 2018.
- ^ State, Bogdan; Weber, Ingmar; Zagheni, Emilio (2013). "Studying inter-national mobility through IP geolocation". Proceedings of the sixth ACM international conference on Web search and data mining - WSDM '13. ACM New York, NY, USA ©2013. p. 265. doi:10.1145/2433396.2433432. ISBN 978-1-4503-1869-3. S2CID 18586006. Retrieved 14 November 2018.
- ^ Fiorio, Lee; Abel, Guy; Cai, Jixuan; Zagheni, Emilio; Weber, Ingmar; Vinué, Guillermo (2017). "Using Twitter Data to Estimate the Relationship between Short-term Mobility and Long-term Migration". Using Twitter Data to Estimate the Relationships between Short-term Mobility and Long-term Migration. ACM New York, NY, USA ©2017. pp. 103–110. doi:10.1145/3091478.3091496. ISBN 978-1-4503-4896-6. S2CID 24458502. Retrieved 14 November 2018.
- ^ Messias, Johnnatan; Benevenuto, Fabricio; Weber, Ingmar; Zagheni, Emilio (2016). "From migration corridors to clusters: The value of Google+ data for migration studies". 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE. pp. 421–428. arXiv:1607.00421. doi:10.1109/ASONAM.2016.7752269. ISBN 978-1-5090-2846-7. S2CID 11956606.
- ^ European Commission. Joint Research Centre (2018). Publications Office of the European Union. Migration Data using Social Media: a European Perspective. pp. 978-92-79-87989-0. doi:10.2760/964282. ISBN 9789279879890. Retrieved 14 November 2018.
- ^ Leveraging Facebook's Advertising Platform to Monitor Stocks of Migrants. Wiley Periodicals. 14 December 2017.
- ^ The Digital Traces of the Gender Digital Divide. Retrieved 14 November 2018.
- ^ Fatehkia, Masoomali; Kashyap, Ridhi; Weber, Ingmar (2018). "Using Facebook ad data to track the global digital gender gap". World Development. 107: 189–209. doi:10.1016/j.worlddev.2018.03.007.
- ^ "Digital Gender Gaps: Team". Digital Gender Gaps Project. Retrieved 14 November 2018.