Big Data for Psychological Sciences: 6th Purdue Symposium on Psychological Sciences (PSPS)

Integrative Data Science Initiative

Start

May 17, 2018
5:00 PM

End

May 20, 2018
12:00 PM

See event schedule on website

Description

Event Website

The Department of Psychological Sciences at Purdue University is pleased to host the sixth installment in its symposium series. This biennial event showcases current and emerging topics within the psychological sciences that form the basis for an edited volume following each symposium.

The 6th Purdue Symposium on Psychological Sciences aims to critically assess the current state of the Big Data movement in terms of its scientific value to the psychology community; and identify areas in which future research is most needed.

The topic of Big Data is a young, rapidly growing and important area of study across many academic disciplines. We have invited leading scholars and practitioners not only in psychology but also in other disciplines such as computer/data science, philosophy of science, management, health care, and education. Each presenter will highlight her or his current work and views related to the topic of Big Data.

We seek to get a broad array of opinion on a wide variety of issues associated with the use of Big Data in psychology – namely:

1) How Big Data have been (and should be) conceptualized and discussed in psychology and other fields, addressing the “big picture,” conceptual questions from the perspectives of philosophy of science and research methodology; 

2) Tangible opportunities and strategies for utilizing Big Data to enhance existing methods of data collection and analysis within psychology (e.g., social media, internet behaviors, public network cameras, wearable sensors/cameras, medical records, data mining and visualization techniques); 

3) How Big Data may be used in specific sub-disciplines of psychological sciences (e.g., learning, healthcare, social/personality, cognitive, clinical, developmental, industrial-organizational); and 

4) Best-practice recommendations for addressing practical and ethical challenges associated with Big Data methods such as privacy, data security and storage, data sharing, and replicability/reproducibility issues.

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Organizers: Sang Eun Woo, Robert Proctor and Louis Tay, Purdue University

Participants:

Talya Bauer, Portland State University
Elisa Bertino, Purdue University
Sidney D’Mello, University of Colorado Boulder
David Ebert, Purdue University
Michael Ford, University of Alabama
Paul Griffin, Purdue University
Kevin Grimm, Arizona State University
Brian Haig, University of Canterbury
Ivan Hernandez, DePaul University
Brendan Johns, University at Buffalo
Yung-Hsiang Lu, Purdue University
Jennifer Neville, Purdue University
Fred Oswald, Rice University
Robert Proctor, Purdue University
Dan Putka, HumRRO Washington DC
Ryne Sherman, Texas Tech University
Padmini Srinivasan, University of Iowa
Louis Tay, Purdue University
Colin Walsh, Vanderbilt University
Sang Eun Woo, Purdue University

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