Short Course, Spring Seminar Series, Institute for Social Research, York University
Instructor: Hugh McCague
9:00am-12:30pm, Tuesday, May 16, 2023
Zoom Meeting
Resource Web Links for the Course
1. Statistics Canada
1.1 Statistics Canada
http://www.statcan.gc.ca/
1.2 Select Statistics Canada Surveys, Statistics Canada Research Data Centre at McMaster University
https://rdc.mcmaster.ca/data-files
1.3 All DLI Products, Data Liberation Initiative (DLI)
http://www.statcan.gc.ca/dli-ild/products-eng.htm
2. Statistics Canada Research Data Centres (RDCs) and the York RDC (York University RDC)
2.1 The York University Statistics Canada Research Data Centre (RDC)
https://www.yorku.ca/research/isr/centres/statistics-canada-research-data-centre/
2.2 Research Data Centres (RDCs), Statistics Canada
https://www.statcan.gc.ca/en/microdata/data-centres
2.3 RDC Data, Statistics Canada
http://www.statcan.gc.ca/eng/rdc/data
2.4 Canadian Research Data Centre Network (CRDCN) (including information on RDC data)
https://crdcn.ca/
2.5 Application process and guidelines for research projects at RDCs
http://www.statcan.gc.ca/eng/rdc/process
2.6 SSHRC Web-based Forms: Registration and Logon
https://webapps.nserc.ca/SSHRC/faces/logon.jsp?lang=en_CA
3. Data Resources and Searching for Data
3.1 Data & Statistics Library Guide, York University Libraries (YUL)
http://researchguides.library.yorku.ca/data
3.2 <odesi>, Ontario Council of Libraries (OCUL)
http://www.library.yorku.ca/e/resolver/id/1165738 (for York U. community members)
3.3 <odesi>, Ontario Council of Libraries (OCUL)
http://odesi.ca/ (for non-York U. users)
3.4 CHASS Data Centre, Computing in the Humanities and Social Sciences (CHASS), University of Toronto
http://datacentre2.chass.utoronto.ca/ (for subscribers including York University)
3.5 Abacus Data Network,
https://abacus.library.ubc.ca/dataverse/open
4. Data Equity
4.1 We All Count
https://weallcount.com/
5. York University Data
5.1 Data Hub, OIPA, York University
https://oipa.info.yorku.ca/data-hub/
6. International Data
6.1 DHS (Demographic and Health Surveys)
https://dhsprogram.com/data/available-datasets.cfm
6.2 ICPSR (Inter-university Consortium for Political and Social Research)
http://www.icpsr.umich.edu/icpsrweb/
6.3 IPUMS (Integrated Public Use Microdata Series)
https://www.ipums.org/
6.4 UK Data Service
https://www.ukdataservice.ac.uk/get-data/key-data
6.5 World Bank Microdata Library
http://microdata.worldbank.org/index.php/home
6.6 PISA Database
http://www.oecd.org/pisa/data/
6.7 World Values Survey
http://www.worldvaluessurvey.org/
6.8 International Social Survey Program
https://issp.org/
6.9 Eurostat
https://ec.europa.eu/eurostat
7. Social Media, Web Scraping, Text Mining, Google Searches, and Wiki Surveys
7.1 Prof. Matthew Salganik's resources on social networks and computational social science
http://www.princeton.edu/~mjs3/
7.2 Salganik, Matthew J. Bit by Bit: Social Research in the Digital Age. Princeton: Princeton University Press, 2018.
Publisher’s information: https://press.princeton.edu/books/paperback/9780691196107/bit-by-bit
7.3 Munzert, Simon et al. Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining. Wiley, 2015.
http://www.r-datacollection.com/
7.4 Interview with John Dagdelen, “AI is reviewing scientists' old work and discovering things they missed”
https://www.cbc.ca/radio/quirks/nov-9-lionfish-are-super-digesters-voyager-2-goes-interstellar-carbon-capture-and-more-1.5352117/ai-is-reviewing-scientists-old-work-and-discovering-things-they-missed-1.5352128
7.5 John Dagdelen, “Natural Language Processing for Materials Discovery and Design”
https://www.youtube.com/watch?v=l8YVmVwLFhQ
7.6 John Dagdelen et al., “Unsupervised word embeddings capture latent knowledge from materials science literature”
7.7 DiGrazia J., McKelvey K., Bollen J., Rojas F. “More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior.” PLoS ONE 8.11 (2013): e79449.
https://doi.org/10.1371/journal.pone.0079449
7.8 Advanced Symbolics Inc., Ottawa: an example of using AI and social media for public opinion, survey and market research
https://www.advancedsymbolics.com/
7.9 "Using AI to prevent suicide in First Nations communities," Advanced Symbolics Inc.
https://advancedsymbolics.com/using-ai-to-prevent-suicide-in-first-nations-communities/
7.10 “Margin of Error,” TVOntario Documentary on political polling, AI, and Advanced Symbolics Inc.
https://www.tvo.org/video/documentaries/margin-of-error
7.11 Google Trends
https://trends.google.com/trends/
7.12 Google Ads, fee-based
https://ads.google.com/intl/en_ca/home/
7.13 Dr. Seth Stephen-Davidowitz's resources on using Google Trends and Google Ads
http://www.sethsd.com
7.14 Research on Refugees using Google Trends, Pew Research Center
https://www.pewresearch.org/global/2017/06/08/online-searches-eu-refugees-methodology/
7.15 Lu, T., Reis, B.Y. “Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries.” npj Digit. Med. 4,22 (2021).
https://doi.org/10.1038/s41746-021-00396-6
7.16 All Our Ideas Project, Prof. Matthew Salganik: an adaptive wiki survey
https://www.allourideas.org/
7.17 Salganik MJ, Levy KEC. “Wiki Surveys: Open and Quantifiable Social Data Collection.” PLoS ONE 10.5 (2015): e0123483. https://doi.org/10.1371/journal.pone.0123483
8. Data from Wearables and Surveys using Cell Phones
8.1 Ben Cornish, "Wearable Sensors and Health Monitoring" overview, Ontario Neurodegenerative Disease Research Initiative (ONDRI)
https://www.youtube.com/watch?v=siKRu50KA4o
8.2 "Volumes of Survey Data Provide Valuable Insights into Vaccine Hesitancy," National Institute of Statistical Sciences (NISS)
https://www.niss.org/news/volumes-survey-data-provide-valuable-insights-vaccine-hesitancy
9. Survey Research Methods
9.1 Ornstein, Michael. A Companion to Survey Research. London; Thousand Oaks, CA: SAGE, 2013.
Publisher’s information: https://us.sagepub.com/en-us/nam/a-companion-to-survey-research/book237402
10. Survey Weights
10.1 Statistics Canada, “Weighted estimation and bootstrap variance estimation for analyzing survey data: How to implement in selected software”
http://www.statcan.gc.ca/pub/12-002-x/2014001/article/11901-eng.htm
10.2 A worked example of a statistical analysis using bootstrap weights in Stata
http://www.isr.umich.edu/src/smp/asda/Additional%20Stata%20Examples%20svy%20bootstrap.pdf
10.3 Rebekah Young and David R. Johnson, "To Weight or Not to Weight, That is the Question: Survey Weights and Multivariate Analysis"
https://www.aapor.org/AAPOR_Main/media/AnnualMeetingProceedings/2012/03_-Young-Johnson_A2_Weighting-paper_aapor-2012-ry.pdf
11. Statistical Resources
11.1 Statistical Software Resources, Institute for Digital Research and Educations (idre), UCLA
https://stats.idre.ucla.edu/
11.2 Statistical Consulting Service, York University
http://www.isr.yorku.ca/scs/
12. Causality
12.1 Pearl, Judea and Mackenzie, Dana. The Book of Why: The New Science of Cause and Effect. New York: Basic Books, 2018. A non-scholarly book aiming to make Pearl’s scholarly and technical work on causality more accessible to the general reader. http://bayes.cs.ucla.edu/WHY/