Thesis Title

Navigating uncertainty: Understanding stakeholders decision-making in environmental data science.

Thesis Outline

Research in environmental sciences uses a large amount of data and, along with complex analytical methods, there are many areas where uncertainties can occur. These can be due to either the randomness of world (e.g. the future is not known) or due to knowledge limitations. My project is a qualitative study, using interviews and focus groups, to look at uncertainties in environmental data, and how stakeholders deal with these when making decisions.

I have looked at the ozone depletion as a historical study of decision making under uncertainty; with the Montreal Protocol legislation and regular scientific assessments feeding into the policy making process. Alongside this I have looked at the challenges of contemporary environmental data science.

This project is part of the Digital Science of the Natural Environment project (DSNE).