Big Data in Psychology 2018

June 7, 2018 – June 9, 2018

Leibniz Institute for Psychology Information (ZPID)

Event location: University of Trier

Register now!

(For more information about the registration process, please see below.)

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 Volume, Velocity, 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:
"Testing model driven hypotheses with Big Data."

Katrijn van Deun, Tilburg University:
"Big Data in Psychology: Statistical methods for linked high-dimensional with traditional data."

Andreas Brandmaier, Max Planck Institute for Human Development:
"The best of both worlds: Towards a synthesis of theory-based and data-driven modeling."

Michael Neale, Virginia Commonwealth University:
"Structural Equation Modeling of Big Data: Challenges and Opportunities."

Fred Oswald, Rice University:
"The Hype, Reality, and Hope for Big Data Analyses in Psychological Research."

A preliminary program overview is now available!

To view the tentative program of the conference, click here.

For the tentative program overview of the associated conference Research Synthesis (June 10-12, 2018), click here.

An associated conference on hotspot topics in subfields and related fields of Psychology and their exploration through research synthesis methods will take place at ZPID - Leibniz Institute for Psychology Information in Trier, Germany, on June 10-12, 2018. For further details, click here.

Presenting at this conference

Authors who wish to present at this conference (paper or poster presentation) are invited to submit a structured abstract of the presentation they will be giving.

To submit a structured abstract, please create an account with this conference as an Author (check box "Author" at the bottom of the form under "Create account as").

Once you are logged in, you can find the submission form under User Home > New Submission.

Deadline extended!

Submissions are accepted until February 28th, 2018.

Submission Guidelines:

Structured abstracts should contain a minimum of 350 words and a maximum of 1000 words. Abstracts should encompass information on each of the following headings:
(a) Background,
(b) Objectives
(c) Research question(s) and/or hypothesis/es,
(d) Method/Approach,
(e) Results/Findings,
(f) Conclusions and implications (expected).

You will be able to submit your text directly by entering it into a text box. No file upload will be available.

The Submission Guidelines can be reviewed in the Author Guidelines.



How to register

Before registering, you need an account with this conference system.

  • if you already have an account (it does not matter if you created the account with the Big Data in Psychology Conference or with another conference), log in before registering.
  • if you do not have an account yet, please create an account here first before registering for this conference.

Register here - make sure to select the "Presenter" registration option if you submitted a structured abstract to present at this conference. If you are just attending this conference, please select the option that is already selected when opening the Registration page.


Registration fee

Early Bird (Dec 15 until Apr 1): EUR 250.-

Regular (Apr 2 until Apr 30): EUR 300.-

Late (May 1 until June 7): EUR 350.-

(Please note that there is a reduced registration fee option if you are presenting at this conference.)

Conference Information

© 2017 Leibniz Institute for Psychology Information