Wikipedia

Ingmar Weber

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
Weber speaking at the ITU AI for Good Global Summit 2018
Born (1978-09-14) 14 September 1978 (age 45)
Minden, Germany
NationalityGerman
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/

He has been awarded an Alexander von Humboldt Professorship in AI.[13]

Research edit

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

Migration edit

While 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 edit

He 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

  1. ^ "Qatar Computing Research Institute: Our People". QCRI. 22 April 2020.
  2. ^ "Professors, Junior Faculty and Emeriti".
  3. ^ "EPJ Data Science: Editorial Board". Springer. Retrieved 22 August 2021.
  4. ^ "International Conference on Web and Social Media: Editorial Team". ICWSM. Retrieved 14 November 2018.
  5. ^ "International Conference on Web and Social Media: Organization". ICWSM. Retrieved 14 November 2018.
  6. ^ "Association for Computing Machinery: 2021 Distinguished Members". Association for Computing Machinery. Retrieved 8 April 2022.
  7. ^ "Association for Computing Machinery: Distinguished Speakers". Association for Computing Machinery. Retrieved 22 August 2021.
  8. ^ "How Twitter Explains Egypt's Bloody Politics". Foreign Policy. 10 July 2013. Retrieved 14 November 2018.
  9. ^ "What people say before a break-up vs. what they say after". The Washington Post. 25 September 2014. Retrieved 14 November 2018.
  10. ^ "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.
  11. ^ "Atheists Tweet More Often Than Muslims, Jews And Christians: Study". HuffPost. 6 October 2014. Retrieved 14 November 2018.
  12. ^ "Black Lives Matter: The social media behind a movement". Al Jazeera Media Network. 3 August 2016. Retrieved 14 November 2018.
  13. ^ "Ingmar Weber - Humboldt Professorship for AI 2023".
  14. ^ 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.
  15. ^ 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.
  16. ^ 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.
  17. ^ 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.
  18. ^ 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.
  19. ^ Leveraging Facebook's Advertising Platform to Monitor Stocks of Migrants. Wiley Periodicals. 14 December 2017.
  20. ^ The Digital Traces of the Gender Digital Divide. Retrieved 14 November 2018.
  21. ^ 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.
  22. ^ "Digital Gender Gaps: Team". Digital Gender Gaps Project. Retrieved 14 November 2018.
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