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Oberski

Guide of experts - Researcher's card

  • Daniel
  • Oberski

Personal and Academic details

E-mail address:
University & faculty:
  • Universiteit Utrecht
  • Faculty of Social and Behavioral Sciences
  • Social Sciences
Position:
  • Full Professor
Research Profile Descriptor:
  • R4: Leading researcher

Institutional webpage:

Personal webpage:
Research group webpage:

Research Expertise & Interests

Research keywords:
  • latent variable models
  • measurement error
  • statistics
  • structural equation models
  • causal modeling
UN SDGs:
  • 01. No Poverty, 03. Good Health and Well-Being, 04. Quality Education, 08. Decent Work and Economic Growth, 09. Industry, Innovation and Infrastructure, 10. Reduced Inequalities, 11. Sustainable Cities and Communities, 12. Responsible Consumption and Production, 13. Climate Action, 16. Peace, Justice and Strong Institutions, 17. Partnership for the Goals
Field of Science:
  • 5.9 Other social sciences

CHARM-EU thematic areas:

  • 4.2. Artificial Intelligence
Other thematic areas:
  • 1.3. Life & Health, 4.1. Big Data, 4.2. Artificial Intelligence
ORCID:
WoS:
Scopus Author ID:

Google Scholar Profile

Experience in Research Projects

Have experience in European research projects?
  • yes
Role:
  • Team Member
Programme:
  • EIT, Horizon Europe (or H2020 and FP7)
Have experience in national research projects?
  • yes
Role:
  • Principal Investigator

Projects webpages:

Teaching expertise

Teching keywords:
  • data science
  • statistics
  • machine learning
  • artificial intelligence
  • latent class analysis/mixture modeling
Teaching expertise:
  • More than 15 years