Reading List

This is our (preliminary) reading list for the PEM-Lab! Please check this website regularly as we will add literature continuously.

Douglas, H. (2023). The importance of values for science. Interdisciplinary Science Reviews, 48(2), 251–263. https://doi.org/10.1080/03080188.2023.2191559

Elliott, K. C. (2022). Values in Science (1st ed.). Cambridge University Press. https://doi.org/10.1017/9781009052597

Elliott, K. C., & Korf, R. (2024). Values in science: What are values, anyway? European Journal for Philosophy of Science, 14(4), 53. https://doi.org/10.1007/s13194-024-00615-3

Harvard, S., & Winsberg, E. (2022). The Epistemic Risk in Representation. Kennedy Institute of Ethics Journal, 32(1), 1–31. https://doi.org/10.1353/ken.2022.0001

Heilmann, C. (2017). Values in Time Discounting. Science and Engineering Ethics, 23(5), 1333–1349. https://doi.org/10.1007/s11948-017-9950-y

Holman, B., & Wilholt, T. (2022). The new demarcation problem. Studies in History and Philosophy of Science, 91, 211–220. https://doi.org/10.1016/j.shpsa.2021.11.011

Knuuttila, T., Carrillo, N., & Koskinen, R. (2024). The Routledge Handbook of Philosophy of Scientific Modeling (1st ed.). Routledge. https://doi.org/10.4324/9781003205647

Małecka, M. (2021). Values in economics: A recent revival with a twist. Journal of Economic Methodology, 28(1), 88–97. https://doi.org/10.1080/1350178X.2020.1868776

Morgan, M. S., & Knuuttila, T. (2012). Models and Modelling in Economics. In Philosophy of Economics (pp. 49–87). Elsevier. https://doi.org/10.1016/B978-0-444-51676-3.50003-8

Svetlova, E. (2014). Modelling Beyond Application: Epistemic and Non-epistemic Values in Modern Science. International Studies in the Philosophy of Science, 28(1), 79–98. https://doi.org/10.1080/02698595.2014.915656

Winsberg, E., & Harvard, S. (2024). Scientific Models and Decision Making (1st ed.). Cambridge University Press. https://doi.org/10.1017/9781009029346