In this week’s episode, host Daniel Raimi talks with Amanda Giang, an assistant professor at the University of British Columbia, about considering equity in computational models of systems that are at the interface of people and the environment. Giang discusses the steps involved in adapting the models; weighing the benefits of granular, individualized data against considerations of personal privacy; the limitations of modeling and quantitative analysis; and the challenges of communicating with decisionmakers about the complexity and uncertainty of model results.

References and recommendations:

“Equity and modeling in sustainability science: Examples and opportunities throughout the process” by Amanda Giang, Morgan R. Edwards, Sarah M. Fletcher, Rivkah Gardner-Frolick, Rowenna Gryba, Jean-Denis Mathias, Camille Venier-Cambron, John M. Anderies, Emily Berglund, Sanya Carley, Jacob Shimkus Erickson, Emily Grubert, Antonia Hadjimichael, Jason Hill, Erin Mayfield, Destenie Nock, Kimberly Kivvaq Pikok, Rebecca K. Saari, Mateo Samudio Lezcano, Afreen Siddiqi, Jennifer B. Skerker, and Christopher W. Tessum; https://www.pnas.org/doi/10.1073/pnas.2215688121

“Ducks: Two Years in the Oil Sands” by Kate Beaton; https://drawnandquarterly.com/books/ducks/

Adding Equity to Environmental Models, with Amanda Giang

Resources Radio is a weekly podcast by Resources for the Future. Each week we talk to leading experts about climate change, electricity, ecosystems, and more, making the latest research accessible to everyone.