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RecSys in HR 2026RecSys in HR 2026
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          • Hilke Schellmann
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          • Manuel Urbano
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          • Nina Baranowska
RecSys in HR 2026
Home / Previous editions / 2025 / Program (2025) / Panel /

Michael Ekstrand

Michael Ekstrand is an Assistant Professor in the Department of Information Science at Drexel University, where he leads the INERTIA Laboratory to study AI-powered information access systems (recommender systems, search engines, etc.). His particular goal is to make sure these systems promote an equitable, inclusive, and well-informed society.

Workshop on Recommender Systems for Human Resources

Co-located with the 20th ACM Conference on Recommender Systems, in Minneapolis, MN, USA

Important dates

Paper deadline: August 7
Notifications: August 25
Camera-ready deadline: September 4
Workshop: September 26

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  • home
  • Call for papers
  • About
  • Organizers
  • Previous editions
    • 2021
      • Accepted papers (2021)
      • Call for Papers (2021)
      • Recordings (2021)
      • Proceedings
      • Program (2021)
        • Keynote 1: Quirine Eijkman
        • Keynote 2: Kaare Danielsen
        • Panel
    • 2022
      • Accepted Papers (2022)
      • Call for Papers (2022)
      • Proceedings
      • Recordings (2022)
      • Program (2022)
        • Keynote: Liangjie Hong
        • Keynote: Robyn Rap
        • Panel
    • 2023
      • Accepted Papers (2023)
      • Call for papers (2023)
      • Proceedings
      • Program (2023)
        • Keynote: Madhu Kurup
        • Keynote: Matissa Hollister
        • Panel
    • 2024
      • Accepted papers (2024)
      • Call for Papers (2024)
      • Proceedings
      • Program (2024)
        • Panel
          • Hilke Schellmann
          • Silvia Ecclesia
          • Vincent Slot
          • Tommaso Di Noia
    • 2025
      • Call for Papers (2025)
      • Organizers (2025)
      • Proceedings
      • Program (2025)
        • Accepted papers (2025)
        • Panel
          • Manuel Urbano
          • Michael Ekstrand
          • Nina Baranowska