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

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In this audio overview, we delve into the transformative role of Computational Modeling and Simulation (CM&S) in medical device development and beyond, exploring how these advanced virtual tools are reshaping regulatory pathways and accelerating innovation.
You'll learn how CM&S, encompassing various physics-based simulations like Finite Element Analysis (FEA) for structural mechanics and Computational Fluid Dynamics (CFD) for fluid flow, has become a pivotal tool throughout the entire product life cycle of medical devices

A major focus of our overview is the FDA's progressive strategy and guidance on computational modeling. We discuss how the FDA actively promotes and recognizes CM&S evidence for device approval and clearance, aligning closely with the ASME V&V 40-2018 standard. This framework provides a structured, risk-informed credibility assessment framework, defining how simulations should be verified and validated to ensure trust in their predictive capability

Verification and Validation Activities for Computational Models with ASME 40-2018

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.

New tracks tagged #computational models