Nadja Klein

Statistics and Data Science
Year 2020

Humboldt-Universität zu Berlin

Wirtschaftswissenschaftliche Fakultät

Unter den Linden 6
10117 Berlin

Portrait of Nadja Klein

Research areas

  • Statistics and Data Science

  • Statistical and Machine Learning

  • Mathematical Statistics

  • Spatial Statistics

  • Applied Statistics

Resume

  • Since 2019
    Member of the Math+ Faculty and Berlin Mathematical School
    (BMS), TU Berlin, FU Berlin and HU Berlin

  • Since 2019
    Member of the Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), HU Berlin

  • Since 2019
    Member of the Berlin Doctoral Program in Economics and Management Science (BDPEMS)

  • Since 2018
    Member of Biostatnet

  • Since 2018
    Associate member of the DFG Research Training Group 2300 Enrichment of European beech forests with conifers: impacts of functional traits on ecosystem functioning

  • Since 2018
    Member of Berlin Economics Research Associates (BERA)

  • Since 2018
    Member of The German Statistical Society (DStatG)

  • Since 2018
    American Statistical Association (ASA) Early Career Member

  • Since 2017
    Member of The German Association of University Professors and Lecturers (DHV)

  • Since 2017
    Member of the Bayesian Analysis and Modeling Research Group, University of Melbourne

  • Since 2015
    Member of the Centre for Statistics, Georg-August-Universität Göttingen

  • 2012 - 2014
    Associate member of the DFG Research Training Group 1644 Scaling Problems in Statistics

Activities

    • Workshop „Interdisciplinary Conversations on the Fairness, Explainability and Uncertainty of AI“

      Members of the RG Artificial Intelligence will meet for an interdisciplinary dialogue on the chances and limits of AI and its applications. Different disciplines bring different perspectives to the table and similar sounding concepts do not necessarily mean the same. Moreover, even if concepts are the same across disciplines, different fields might focus on distinct aspects. The workshop “Interdisciplinary Conversations on the Fairness, Explainability and Uncertainty of AI” tries to bridge these gaps and brings researchers from different disciplines in conversation about these three major concepts of current research on AI.

      Topics:

      Starts on
      19.09.22
      Ends on
      20.09.22

      Event access: Internal

      Berlin