Pre-Conference Symposium: Big Data in Psychology 2019

May 27, 2019 – May 28, 2019


organized by the Leibniz Institute for Psychology Information (ZPID) at the
Center for Advanced Academic Studies (CAAS), Dubrovnik, Croatia

Associated special issue, to appear 2020 in Social Science Computer Review: Big Data in the Behavioral and Social Sciences.


Main conference, taking place May 29-31, 2019:
Research Synthesis 2019, http://researchsynthesis2019.leibniz-psychology.org

 

(Please note that on this webpage you can only register for the “Big Data in Psychology Pre-Conference Symposium”.

If you wish to register for “Research Synthesis 2019 Conference” and also attend this Pre-Conference Symposium, please register through the main conference’s website here and make sure to check the box that signs you up for the “Big Data in Psychology Pre-Conference Symposium” in the online registration form, free of charge for participants of the main conference.)

 

Conference resources *update June 18, 2019*

Visit our online repository PsychArchives for

  • abstract collection here
  • presentations of various session here
  • program schedule here
  • full conference program incl. additional useful information here
Visit our Media-Center for keynote videos here

 

Aims and Scope of the Pre-Conference Symposium

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 pre-conference symposium.


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 pre-conference symposium may focus on one or more of these features in Big Data.


The overall aim of this pre-conference symposium 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

  • Ross Jacobucci, University of Notre Dame
    “Flexible Specification of Large Structural Equation Models with Regularization”

  • Joop Hox, Utrecht University
    "Big Data + Big Computers = Computational Psychology?"


Deadlines

Conference timeline

Special issue timeline
(Call for papers)

Dec 1, 2018

Structured abstracts due

Dec 31, 2018

Registration opens
Invitations to present due

Invitation to submit a full paper due

Jan 31, 2019

Registration of presenting authors due

Apr 15, 2019

Application grant due

Apr 30, 2019

Submission of conference presentations due

Full paper submission due

May 15, 2019

Registration closes

May 27-28, 2019

Big Data in Psychology Pre-Conference in Dubrovnik

Jul 15, 2019


Feedback to authors of full papers due

Aug 15, 2019

Revised manuscripts due

Aug 31, 2019

Editorial decision about acceptance or refusal of revised papers due

2020

Publication of special issue

Registration is now closed.

Registration fees for Pre-Conference Symposium Big Data in Psychology ONLY:

Non-presenting participants (from Dec 31, 2018):
EUR 100.-


Presenters (from Dec 31, 2018):
EUR 50.-

*special offer* closed - deadlinie has ended

Grant for 10 PhD or master students - For conditions and details see webpage "Research Synthesis 2019 Conference" - Deadline for applications: April 15, 2019 *Please do not apply as the deadline has ended*

Announcements

 

Sign up for our Newsletter!

 
If you want to stay up to date on our upcoming conferences, sign up for our newsletter on our webpage leibniz-psychology.org here.  
Posted: 2019-05-30
 
More Announcements...

Conference Information



© 2017-2018 Leibniz Institute for Psychology Information