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Content provided by Itai Yanai & Martin Lercher, Itai Yanai, and Martin Lercher. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Itai Yanai & Martin Lercher, Itai Yanai, and Martin Lercher or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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66 | Michael Fischbach and the scientific decision tree

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Manage episode 451860935 series 2912199
Content provided by Itai Yanai & Martin Lercher, Itai Yanai, and Martin Lercher. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Itai Yanai & Martin Lercher, Itai Yanai, and Martin Lercher or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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 .

  continue reading

79 episodes

Artwork
iconShare
 
Manage episode 451860935 series 2912199
Content provided by Itai Yanai & Martin Lercher, Itai Yanai, and Martin Lercher. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Itai Yanai & Martin Lercher, Itai Yanai, and Martin Lercher or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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 .

  continue reading

79 episodes

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