Ingmar Weber Explained

Ingmar Weber
Birth Date:1978 9, df=yes
Birth Place:Minden, Germany
Nationality:German
Alma Mater:University of Cambridge, Saarland University
Thesis Title:Efficient index structures for and applications of the CompleteSearch engine
Thesis Year:2007
Doctoral Advisor:Hannah Bast
Main Interests:Computational social science
Website:https://ingmarweber.de/

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]

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

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.[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

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]

Notes and References

  1. Web site: Qatar Computing Research Institute: Our People . 22 April 2020 . QCRI.
  2. Web site: Professors, Junior Faculty and Emeriti .
  3. Web site: EPJ Data Science: Editorial Board . Springer . 22 August 2021.
  4. Web site: International Conference on Web and Social Media: Editorial Team . ICWSM . 14 November 2018.
  5. Web site: International Conference on Web and Social Media: Organization . ICWSM . 14 November 2018.
  6. Web site: Association for Computing Machinery: 2021 Distinguished Members . Association for Computing Machinery . 8 April 2022.
  7. Web site: Association for Computing Machinery: Distinguished Speakers . Association for Computing Machinery . 22 August 2021.
  8. News: How Twitter Explains Egypt's Bloody Politics . 14 November 2018 . Foreign Policy . 10 July 2013.
  9. News: What people say before a break-up vs. what they say after . 14 November 2018 . The Washington Post . 25 September 2014.
  10. News: Quiz: Can we guess your age and income, based solely on the apps on your phone? . 14 November 2018 . The Washington Post . 3 March 2016.
  11. News: Atheists Tweet More Often Than Muslims, Jews And Christians: Study . 14 November 2018 . HuffPost . 6 October 2014.
  12. News: Black Lives Matter: The social media behind a movement . 14 November 2018 . Al Jazeera Media Network . 3 August 2016.
  13. Web site: Ingmar Weber - Humboldt Professorship for AI 2023 .
  14. Book: You are where you e-mail: using e-mail data to estimate international migration rates . ACM New York, NY, USA ©2012 . 978-1-4503-1228-8 . 14 November 2018. 2012 . 348–351 . 10.1145/2380718.2380764 . 10165430 .
  15. Book: Studying inter-national mobility through IP geolocation . ACM New York, NY, USA ©2013 . 10.1145/2433396.2433432 . 978-1-4503-1869-3 . https://dl.acm.org/citation.cfm?doid=2433396.2433432 . 14 November 2018. Proceedings of the sixth ACM international conference on Web search and data mining - WSDM '13 . 2013 . State . Bogdan . Weber . Ingmar . Zagheni . Emilio . 265 . 18586006 .
  16. Book: Using Twitter Data to Estimate the Relationships between Short-term Mobility and Long-term Migration . Using Twitter Data to Estimate the Relationship between Short-term Mobility and Long-term Migration . 2017 . ACM New York, NY, USA ©2017 . 10.1145/3091478.3091496 . 978-1-4503-4896-6 . 14 November 2018. Fiorio . Lee . Abel . Guy . Cai . Jixuan . Zagheni . Emilio . Weber . Ingmar . Vinué . Guillermo . 103–110 . 24458502 .
  17. Book: From migration corridors to clusters: The value of Google+ data for migration studies . IEEE . 978-1-5090-2846-7 . 10.1109/ASONAM.2016.7752269 . 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) . 2016 . Messias . Johnnatan . Benevenuto . Fabricio . Weber . Ingmar . Zagheni . Emilio . 421–428 . 1607.00421 . 11956606 .
  18. Book: Publications Office of the European Union . 2018 . Migration Data using Social Media: a European Perspective . 978-92-79-87989-0 . 10.2760/964282 . 14 November 2018. European Commission. Joint Research Centre . 9789279879890 .
  19. Book: Leveraging Facebook's Advertising Platform to Monitor Stocks of Migrants . 14 December 2017 . Wiley Periodicals.
  20. Book: The Digital Traces of the Gender Digital Divide . 14 November 2018.
  21. Using Facebook ad data to track the global digital gender gap . World Development. 107. 189–209. 10.1016/j.worlddev.2018.03.007. 2018. Fatehkia. Masoomali. Kashyap. Ridhi. Weber. Ingmar. free.
  22. Web site: Digital Gender Gaps: Team . Digital Gender Gaps Project . 14 November 2018.

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