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  1. Why Simpler Computer Simulation Models Can Be Epistemically Better for Informing Decisions.Casey Helgeson, Vivek Srikrishnan, Klaus Keller & Nancy Tuana - 2021 - Philosophy of Science 88 (2):213-233.
    For computer simulation models to usefully inform climate risk management, uncertainties in model projections must be explored and characterized. Because doing so requires running the model many ti...
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    Peer-reviewed climate change research has a transparency problem. The scientific community needs to do better.Adam Pollack, Jentry E. Campbell, Madison Condon, Courtney Cooper, Matteo Coronese, James Doss-Gollin, Prabhat Hegde, Casey Helgeson, Jan Kwakkel, Corey Lesk, Justin Mankin, Erin Mayfield, Samantha Roth, Vivek Srikrishnan, Nancy Tuana & Klaus Keller - manuscript
    Mission-oriented climate change research is often unverifiable. Therefore, many stakeholders look to peer-reviewed climate change research for trustworthy information about deeply uncertain and impactful phenomena. This is because peer-review signals that research has been vetted for scientific standards like reproducibility and replicability. Here we evaluate the transparency of research methodologies in mission-oriented computational climate research. We find that only five percent of our sample meets the minimal standard of fully open data and code required for reproducibility and replicability. The widespread (...)
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  3. Climate Risk Management.Klaus Keller, Casey Helgeson & Vivek Srikrishnan - 2021 - Annual Review of Earth and Planetary Sciences 49:95–116.
    Accelerating global climate change drives new climate risks. People around the world are researching, designing, and implementing strategies to manage these risks. Identifying and implementing sound climate risk management strategies poses nontrivial challenges including (a) linking the required disciplines, (b) identifying relevant values and objectives, (c) identifying and quantifying important uncertainties, (d) resolving interactions between decision levers and the system dynamics, (e) quantifying the trade-offs between diverse values under deep and dynamic uncertainties, (f) communicating to inform decisions, and (g) learning (...)
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