• 21607
    Citations - based on content available in repository [source: Scopus]
20092024

Content available in repository

Personal profile

Research profile

Daniel Lakens is an Associate Professor in the Human-Technology interaction group at Eindhoven University of Technology (TU/e). His areas of expertise include meta-science, research methods and applied statistics. Daniel’s main lines of empirical research focus on conceptual thought, similarity, and meaning. He also focuses on how to design and interpret studies, applied (meta)-statistics, and reward structures in science. A large part of his work deals with developing methods for critically reviewing and optimally structuring  studies.

Academic background

Daniel has a background in experimental psychologist and received his PhD from Utrecht University in 2010. Daniel’s research is funded by an NWO VIDI grant for a project that aims to improve the reliability and efficiency of psychological science. He has also convinced NWO to start a pilot project with grants dedicated to replication research.

He teaches an online MOOC on ‘Improving Your Statistical Inferences’, and won a TU/e Teacher of the Year award in 2014. He has given over 40 workshops on open science and improving research practices, co-edited a special issue consisting of pre-registered replication studies with Brian Nosek. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 5 - Gender Equality

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