Big Data in Psychology 2018

Methods and applications using Big Data in Psychology are being addressed.

The availability of Big Data is more and more common in many fields including business, computer science, government, social and behavioral sciences, and psychology. Since it is hard to clearly define what Big Data is, we do not impose a strict definition of Big Data in this conference.

There are three key characteristics that may qualify data as Big Data, namely VolumeVelocity, and Variety. High-volume data refers to the size of the dataset is too large that may lead to problems with storage and analysis. High-velocity data means that the data come at a high rate and/or have to be processed within a short period of time (e.g., real-time and interactive processing). High-variety data are data consisting of many types of structured and unstructured data with a mix of text, pictures, videos, and numbers. Another characteristic for Big Data is the veracity, which indicates the importance of the quality (or truthfulness) of data. Some examples of Big Data that may be relevant for Psychology are social media data, health/physiological tracker data, geolocation data, dynamic public records, travel route data, behavioral and genetic data. Papers submitted to this conference may focus on one or more of these features in Big Data.

The overall aim of this conference is to address methods and applications using Big Data in Psychology. The topics covered may address (but are not limited to):

  • Methodological and statistical issues in collecting, handling, processing, and analyzing Big Data in psychology.
  • Applications and illustrations of how Big Data are used to address psychological research questions.
  • Psychological interventions making use of Big Data.
  • Inference models taking Big Data into account.
  • Comparison of Big Data versus ´traditional´ data sources (e.g., self-reports, peer-reports, etc.).
  • Combining traditional data sources with Big Data.
  • Implications of Big Data for research infrastructures in psychology and related areas.

Invited Keynote Speakers

Mike Cheung, National University of Singapore

Katrijn van Deun, Tilburg University

Andreas Brandmaier, Max Planck Institute for Human Development

Michael Neale, Virginia Commonwealth University

Further information


Fred Oswald, Rice University