Reading materials | Log reading progress ("reading_log")

Key concepts

Before class

Required reading:

  1. Ma, J., Ebeid, I. A., de Wit, A., Xu, M., Yang, Y., Bekkers, R., & Wiepking, P. (2021). Computational Social Science for Nonprofit Studies: Developing a Toolbox and Knowledge Base for the Field. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations.
  2. Anderson, C. (JUN 23, 2008 12:00 PM). The End of Theory: The Data Deluge Makes the Scientific Method Obsolete. Wired.
  3. Mazzocchi, F. (2015). Could Big Data Be the End of Theory in Science? EMBO Reports, 16(10), 1250–1255.

Recommended reading: Big data and social science research, perspectives from philosophy and epistemology

  • Leonelli, S. (2020). Scientific Research and Big Data. In E. N. Zalta (Ed.), The Stanford Encyclopedia of Philosophy (Summer 2020). Metaphysics Research Lab, Stanford University.

In class

Empirical studies as examples