66 | Michael Fischbach and the scientific decision tree episode artwork

EPISODE · Nov 25, 2024 · 50 MIN

66 | Michael Fischbach and the scientific decision tree

from Night Science

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 https://www.biomedcentral.com/collections/night-science .

Episode metadata supplied by the publisher feed · Published Nov 25, 2024

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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 r...

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66 | Michael Fischbach and the scientific decision tree

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