66 Michael Fischbach and the scientific decision tree

In this episode, Stanford professor Michael Fischbach discusses insights from his course on how to choose meaningful research problems . Highlights include: - Invest time in problem selection: Spend more time upfront selecting the right research problem. - Date ideas: Before settling on an idea, explore multiple alternatives without emotional attachment. - Fixed vs. floating parameters: Early on, clearly define what aspects of your research idea are fixed and which can be flexible. - Manage risks: Embrace risk but systematically de-risk projects. - Killer experiments: Identify early “go/no-go” experiments. - Turn crises into opportunities: Use a project's crisis to find out what it's really about. This episode was supported by Research Theory (researchtheory.org). For more information about Night Science, visit .

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66 Michael Fischbach and the scientific decision tree is an episode from Night Science by Itai Yanai & Martin Lercher.

This episode is 50:52 long.

This episode was published on Nov 25, 2024.

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