Research Synthesis & Big Data Conference
Research synthesis techniques such as systematic reviews and meta-analyses have become standard methods for aggregating the results from thematically related research in psychology. They can be used to describe the state of the art in a research field, to test and/or compare theories, and to derive conclusions about the effectiveness of interventions.
The overall aim of this conference is to address hotspot topics in all subfields of psychology and related areas with the aid of research synthesis methods.
Big data have become ubiquitous in many behavioral research domains and with it, there is an ongoing development of analytical approaches (e.g., machine learning, text mining). We invite researchers to present their work on big data and/or approaches that can enhance understanding of psychological and social phenomena.
The overall aim of this conference is to address methods and applications using Big Data in psychology.
Suzanne Jak presents shiny app for MASEM
Referent/innen:Margaret Kern (University of Melbourne, Australia), Carolin Strobl (University of Zurich, Switzerland), Manuel Voelkle (Humboldt University of Berlin, Germany), Charles Driver (Max Planck Institute for Human Development, Germany), Avi Kluger (The Hebrew University of Jerusalem, Israel), Frank Renkewitz (Helmut Schmidt University, Germany), Gerta Rücker (University of Freiburg, Germany), Suzanne Jak (University of Amsterdam, Netherlands)