Big Data in Psychology 2019

Conference Archives

Big Data in Psychology 2019



May 27, 2019 – May 29, 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.

Associated conference, taking place May 29-31, 2019, at the same venue:
Research Synthesis Methods 2019, http://researchsynthesis2019.leibniz-psychology.org

 

Aims and Scope of the Conference

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

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

  • Joop Hox, Utrecht University
    "Computational social and behavioral science methodology: Current issues in using big data"


How to submit a proposal?

Structured abstracts could be submitted until December 1, 2018.

Submitted contributions are also eligible to be considered for a special issue of Social Science Computer Review  (“Big Data in the Behavioral and Social Sciences ”). When submitting your abstract, authors were be able to declare whether they would like their abstract to be considered for the conference only, or the special issue only, or both. The call for papers can be found here. Submitting a full paper for the special issue is optional for conference presenters.

Deadlines

Conference timeline

Special issue timeline
(Call for papers)

Dec 1, 2018

Structured abstracts due, to be submitted using this link.

Dec 31, 2018

Registration opens
Invitations to present due

Invitation to submit a full paper due

Apr 30, 2019

Submission of conference presentations due

Full paper submission due

May 29-31, 2019

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 fees:

Early Bird (Dec 31, 2018, until March 15, 2019):
EUR 250.- for participants (without a presentation), EUR 150.- for presenters


Regular (March 16, 2019, until April 15, 2019):
EUR 300.- for participants (without a presentation), EUR 200.- for presenters


Late (from April 16, 2019):

EUR 350.- for participants (without a presentation), EUR 250.- for presenters


View Conference Details

Big Data in Psychology 2018



Trier, DE

June 7, 2018 – June 9, 2018

Leibniz Institute for Psychology Information (ZPID)

Event location: University of Trier, Campus II - Kapelle (Please note that the university has two different campuses, we are at the second one!)

 

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."


The final program is now available!

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

Please find the abstract collection for all planned sessions here.

For the final program 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.


“Ad hoc” childcare for conference participants and presenters

We have arranged for free childcare service for accompanying children of participants and presenters attending the “Big Data in Psychology” (June, 7-9, 2018) and/or “Research Synthesis” (June, 10-12, 2018) conference. During the conference hours, qualified care of the children will be provided by employees of the Caritas family services. Childcare is located at University of Trier, Campus I (student residence building IV; “ad hoc-Raum für Kinder”), about 10-15 minutes from the conference venue (walking distance).
To sign up for this free service send an e-mail (events@leibniz-psychology.org) with your name and the number of children who will attend. Any questions that may arise can be directed to the same e-mail address.

 

Registration fee

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

Regular (Apr 16 until May 15): EUR 300.-

Late (May 16 until June 7): EUR 350.-

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

View Conference Details



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