Course Schedule

Reading Materials by Week

Understanding “Data”

Data Acquisition and Preprocessing

Research Design: Integrate Data Science with Social Science Research


Pre-course Back2Top


Course introduction: why this course? Back2Top

Before class

  • Readings:
    • Baker, M. (2016). 1,500 scientists lift the lid on reproducibility. Nature News, 533(7604), 452. doi:10.1038/533452a.
    • Briney, K. (2015). The Data Problem. In Data management for researchers: Organize, maintain and share your data for research success. Research Skills Series (Exeter, England). HOLLIS number:014921191. Exeter, UK: Pelagic Publishing.
    • Cioffi-Revilla, C. (2017). Introduction to Computational Social Science. Texts in Computer Science. doi:10.1007/978-3-319-50131-4.
    • Gentzkow, M., & Shapiro, J. M. (2014d). Introduction. In Code and data for the social sciences: A practitioner’s guide.
    • Lazer, D., Pentland, A., Adamic, L., Aral, S., Barab´asi, A.-L., Brewer, D., . . . Alstyne, M. V. (2009). Computational Social Science. Science, 323(5915), 721–723. doi:10.1126/science.1167742.6

In class

  • Discussion and lecture on readings.
  • Course review: Syllabus, assignments, final project.

After class


Data management and research life cycle Back2Top

Before class

  • Readings:
    • Briney, K. (2015). Planning for Data Management. In Data management for researchers: Organize, maintain and share your data for research success. Research Skills Series (Exeter, England). HOLLIS number: 014921191. Exeter, UK: Pelagic Publishing.
    • Briney, K. (2015). The Data Lifecycle. In Data management for researchers: Organize, maintain and share your data for research success. Research Skills Series (Exeter, England). HOLLIS number: 014921191. Exeter, UK: Pelagic Publishing.
    • Ruane, J. M. (2016). Designing Ideas: What Do We Want to Know and How Can We Get There? In Introducing Social Research Methods: Essentials for Getting the Edge (pp. 67–92). Chichester, West Sussex, UK ; Hoboken, NJ: John Wiley & Sons Inc.

In class

After class


Data and visualization types, file input/output (I/O) Back2Top

Before class

  • Readings:
    • Gleicher, M., Albers, D., Walker, R., Jusufi, I., Hansen, C. D., & Roberts, J. C. (2011). Visual comparison for information visualization. Information Visualization, 10(4), 289–309. 00323. doi:10.1177/1473871611416549.
    • Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. In Proceedings 1996 IEEE Symposium on Visual Languages (pp. 336–343). 05240. doi:10.1109/VL.1996.545307.
    • Stevens, S. S. (1946). On the Theory of Scales of Measurement. Science, 103(2684), 677–680. 05076.

In class

  • Discussion and lecture on readings.

After class


Data structure and relational database/data dictionary Back2Top

Before class

  • Readings:
    • Gentzkow, M., & Shapiro, J. M. (2014e). Keys. In Code and data for the social sciences: A practitioner’s guide.
    • Swaroop C. H. (2013). Data Structures. In A Byte of Python.
    • Normalization of Database
    • Wickham, H. (2014). Tidy data. The Journal of Statistical Software, 59(10). http://www.jstatsoft.org/v59/i10/

In class

  • Discussion and lecture on readings.

After class


Text and relation as data Back2Top

Before class

  • Required Readings:
    • Grimmer, J., &Stewart, B. M. (2013). Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts. Political Analysis, 21(3), 267–297. doi:10.1093/pan/mps028.
    • Provan, K. G., Veazie, M. A., Staten, L. K., & Teufel-Shone, N. I. (2005). The use of network analysis to strengthen community partnerships. Public Administration Review, 65(5), 603–613.
    • Scott, J. (2017). What Is Social Network Analysis? In Social Network Analysis (Fourth edition). Thousand Oaks, CA: SAGE Publications Ltd.
  • Further Readings:
    • Borgatti, S. P., & Foster, P. C. (2003). The Network Paradigm in Organizational Research: A Review and Typology. Journal of Management, 29(6), 991–1013. doi:10.1016/S0149-2063 0300087-4.
    • Jurafsky, D., & Martin, J. H. (2017). Regular Expressions, Text Normalization, Edit Distance. In Speech and Language Processing (3rd draft).

In class:

  • Discussion and lecture on readings.

After class


Documenting data and version control Back2Top

Before class

  • Readings:
    • Briney, K. (2015b). Documentation. In Data management for researchers: Organize, maintain and share your data for research success. Research Skills Series (Exeter, England). HOLLIS number:014921191. Exeter, UK: Pelagic Publishing.
    • Broman, K. W., & Woo, K. H. (2017). Data organization in spreadsheets (tech. rep. No. e3183v1). PeerJ Inc. doi:10.7287/peerj.preprints.3183v1.
    • Gentzkow, M., & Shapiro, J. M. (2014f). Version Control. In Code and data for the social sciences: A practitioner’s guide.

In class

  • Discussion and lecture on readings.

After class


Acquiring data: open data and open-source intelligence Back2Top

Before class

  • Readings:
    • Briney, K. (2015c). Managing sensitive data. In Data management for researchers: Organize, maintain and share your data for research success. Research Skills Series (Exeter, England). HOLLIS number: 014921191. Exeter, UK: Pelagic Publishing.
    • Rasche, A., Morsing, M., & Wetter, E. (2019). Assessing the Legitimacy of “Open” and “Closed” Data Partnerships for Sustainable Development. Business & Society, 0007650319825876. doi:10.1177/0007650319825876.
    • Williams, H. J., & Blum, I. (2018). Defining Second Generation Open Source Intelligence (OSINT) for the Defense Enterprise. RAND Corporation.

In class

  • Discussion and lecture on readings.

After class


Back2Top

Before class

  • Readings:

In class

After class


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Before class

  • Readings:

In class

After class


Back2Top

Before class

  • Readings:

In class

  • Hands-on practice.

After class


Back2Top

Before class

  • Readings:

In class

  • Discussion and lecture on readings.

After class


Back2Top


Back2Top

Before class

  • Readings:

In class

  • Discussion and lecture on readings.
  • Hands-on practice.

After class


Back2Top

Before class

  • Readings:

In class

  • Discussion and lecture on readings.

After class