Social Data Analytics

Rick Gilmore

Figure 1: https://psu-psychology.github.io/soda

Agenda

• Who is this guy?
• Quantitative methods in the Department
• Social Data Analytics (SoDA) dual-title program

Who is this guy?

• Professor of Psychology (Cognitive & Developmental)
• Penn State 1997-
• B.A., Cognitive Science, Brown University
• M.S. & Ph.D., Psychology (Cognitive Neuroscience), Carnegie Mellon University
• Human brain development, perception & action, computational modeling, machine vision, big data, open science

• Founding Director of Human Imaging, Penn State Social, Life & Engineering Sciences Imaging Center (SLEIC), 2008-2014
• Co-Founder/Co-Director of Databrary.org data library, 2012-
• Co-PI Play & Learning Across a Year (PLAY) Project, 2016-
• Open Scholarship Initiative team lead, 2022-
• gilmore-lab.github.io; rick-gilmore.com; w3tm.org

• banjo & harmonica player, actor, cyclist, backpacker, paddler, poet, ham (W3TM), amateur astronomer
• Judge of Elections (Precinct 26, State College East 3)
• native Coloradoan, naturalized Pennsylvanian, husband, dad, grandpa

Totality from Ashtabula, OH, April 8, 2024

Quantitative methods in the Department

Fall 2023 psych grads survey from https://psu-psychology.github.io/quant-methods-committee/2023-fall-grad-survey.html#fig-n-stats-courses-by-respondent-cohort-year

In most cohorts, 50% or more of the respondents are taking courses beyond the requirements.

https://psu-psychology.github.io/quant-methods-committee/2023-fall-grad-survey.html

More on quantitative methods in the department

• github.com/psu-psychology/quant-methods-committee
• https://psu-psychology.github.io/quant-methods-committee
• github.com/psu-psychology

More about open scholarship initiatives

• github.com/penn-state-open-science
• Open Science Bootcamp 2023
• Open Science Interest Survey full protocol and results

Social Data Analytics (SoDA)

What is it?

Requirements

• SODA 501 (3 credits), SODA 502 (3 credits)
• 12 or more elective credits
  • Core analytics distribution (3+ credits)
  • Quantification distribution (6+ credits)
  • Computational/informational distribution (6+ credits)
  • Social distribution (6+ credits)

https://bulletins.psu.edu/graduate/programs/majors/social-data-analytics/#degreerequirementstext

More…

the typical SoDA student will need to take four 3-credit courses outside of their home department: two core SoDA seminars and two electives that satisfy requirements not satisfied in their home department.

the typical SoDA student will not have to alter their committee.

https://soda.la.psu.edu/programs/graduate-program/requirements/

Applying

Applicants interested in the dual-title degree program may make their interest in the program known on their applications to the primary graduate program and include remarks in their statement of purpose that address the ways in which their research and professional goals in their chosen primary field reflect an expanded interest in Social Data Analytics.

https://bulletins.psu.edu/graduate/programs/majors/social-data-analytics/#admissionrequirementstext

…a student must submit a letter of application and transcript, which will be reviewed by the Social Data Analytics Admissions Committee. An applicant must have a minimum grade point average of 3.0 (on a 4-point scale) to be considered for enrollment in the dual-title degree program.

https://bulletins.psu.edu/graduate/programs/majors/social-data-analytics/#admissionrequirementstext

Students must be admitted into the dual-title degree program in Social Data Analytics no later than the end of the fourth semester (not counting summer semesters) of entry into the primary Ph.D. program and before taking the comprehensive exam.

https://bulletins.psu.edu/graduate/programs/majors/social-data-analytics/#admissionrequirementstext

Who’s doing it: Grads

• Lexi Baird, Clinical (Hillary)
• Zoe Baker, Social (Swim)
• Demet Basar, Social (Vescio)
• Chelsea Basore, I/O (Simkins)
• Candice Basterfield, Clinical (Newman)
• Emily Beattie, Clinical (Castonguay)

• Alexa Becker, Cognitive (Dennis)
• Olivia Bell, Developmental (Perez-Edgar)
• Katie Billetdeaux, Developmental (Scherf)
• Sherille Bosfield, Clinical (Jackson)
• Megan Bradson, Clinical (Arnett)

Who’s doing it: Psych fac

• Jonathan Cook
• Rick Gilmore
• Frank Hillary
• Sean Laurent
• James LeBreton
• Frank Ritter

Open Scholarship @ Penn State

• https://penn-state-open-science.github.io/outreach-talk/

Resources

Code

This talk was produced on 2024-10-14 in RStudio using Quarto and the revealJS framework.

The code and materials used to generate the slides may be found at https://github.com/psu-psychology/soda/.

Information about the R Session that produced the code is as follows:

R version 4.4.1 (2024-06-14)
Platform: aarch64-apple-darwin20
Running under: macOS Sonoma 14.7

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRblas.0.dylib 
LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

time zone: America/New_York
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] compiler_4.4.1    assertthat_0.2.1  fastmap_1.1.1     cli_3.6.3        
 [5] tools_4.4.1       htmltools_0.5.8.1 qrcode_0.2.2      rstudioapi_0.16.0
 [9] yaml_2.3.8        rmarkdown_2.26    knitr_1.46        jsonlite_1.8.8   
[13] xfun_0.44         digest_0.6.35     rlang_1.1.4       evaluate_0.23