The Use of Science in Policy-Making: A Study of Values in Dioxin Science

Dissertation, University of Pittsburgh (1998)
  Copy   BIBTEX

Abstract

The risk regulation process has been traditionally conceived as having two components: a consultation of the experts concerning the magnitude of risk and a negotiated decision on whether and how to reduce that risk . The first component is generally thought to be free of the contentious value judgments that often characterize the second component. In examining the recent controversy over dioxin regulation, I argue that the first component is not value-free. I review three areas of science important to dioxin regulation: epidemiological studies, laboratory animal studies, and biochemical studies. I show how problems of interpretation arise for each area of science that prevent a clear-cut answer to the question: what dose of dioxins is safe for humans? Because of significant uncertainties in how to interpret these studies, there is significant risk that one will err in the interpretation. In order to judge what risk of error to accept, one needs to consider and weigh the consequences of one's judgments, whether epistemic or non-epistemic. Weighing non-epistemic consequences requires the use of non-epistemic values. Thus, non-epistemic values, or the kind that are important in risk management, have an important and legitimate role to play in the judgments required to perform and interpret the dioxin studies. The risk assessment component of the risk regulation process cannot be claimed to be value-free and the process must be altered to accommodate a value-laden science

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,423

External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Inductive risk and values in science.Heather Douglas - 2000 - Philosophy of Science 67 (4):559-579.
The Role of Non-Epistemic Values in Engineering Models.Sven Diekmann & Martin Peterson - 2013 - Science and Engineering Ethics 19 (1):207-218.
Distinguishing between legitimate and illegitimate values in climate modeling.Kristen Intemann - 2015 - European Journal for Philosophy of Science 5 (2):217-232.
Some Public Policy Problems with the Science of Carcinogen Risk Assessment.Carl F. Cranor - 1988 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:467 - 488.
Toward a More Objective Understanding of the Evidence of Carcinogenic Risk.Deborah G. Mayo - 1988 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:489 - 503.
Epistemic values and the argument from inductive risk.Daniel Steel - 2010 - Philosophy of Science 77 (1):14-34.
The Value of Cognitive Values.Heather Douglas - 2013 - Philosophy of Science 80 (5):796-806.
Quantification, Regulation, and Risk Assessment.Douglas MacLean - 1982 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:243 - 260.
Varieties of Risk Representations.John Kadvany - 1997 - Journal of Social Philosophy 28 (3):123-143.

Analytics

Added to PP
2015-02-05

Downloads
0

6 months
0

Historical graph of downloads

Sorry, there are not enough data points to plot this chart.
How can I increase my downloads?

Author's Profile

Heather Douglas
Michigan State University

References found in this work

No references found.

Add more references