Seminar 1 e dyachuk k haikonen k kovi l saarinen l sj kvist
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Seminar 1 - E. Dyachuk, K. Haikonen, K. Kovi, L. Saarinen, L. Sjökvist PowerPoint PPT Presentation


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Seminar 1 - E. Dyachuk, K. Haikonen, K. Kovi, L. Saarinen, L. Sjökvist. Technology, research and ethics E. Dyachuk, K. Haikonen, K. Kovi, L. Saarinen, L. Sjökvist Division of Electricity Dept. of Engineering Sciences Uppsala University Sweden. Themes. Responsibility

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Seminar 1 - E. Dyachuk, K. Haikonen, K. Kovi, L. Saarinen, L. Sjökvist

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Seminar 1 e dyachuk k haikonen k kovi l saarinen l sj kvist

Seminar 1-E. Dyachuk, K. Haikonen, K. Kovi, L. Saarinen, L. Sjökvist

Technology, research and ethics

E. Dyachuk, K. Haikonen, K. Kovi, L. Saarinen, L. Sjökvist

Division of Electricity

Dept. of Engineering Sciences

Uppsala University

Sweden


Themes

Themes

  • Responsibility

  • Statistics and Errors

  • Conflicts


Responsibility

Responsibility

Prosecution:

  • Alledge the defendantsgave a falselyreassuringstatementbefore the quake

  • Did the scientists weightup all the risks, and communicatetheseclearly to thoseseekingadvice?

  • ”We just wanted to be warnedthatweweresitting on a bomb”

Defendants:

  • Not possible be precise about the timing offuture events. 30 sec. warning is possible.

  • The best science can do is talk in terms of risk and ofprobabilities

  • Seismologistshavebeensayingsince 1998 that it is a high risk area.


Responsibility1

Responsibility

  • What is the scientists responsibility?

  • -Did they make the right decision or should the have warned the public, with the risk of crying wolf?

  • Communicating scientific results is called ”the third mission” of swedish universities, but how to communicate that ”low risk” does not mean ”not dangerous”?


Statistics and errors reproducibility

Statistics and errors: Reproducibility

  • Examples from drug research:

    • 6 out of 53 studies on cancer were possible to reproduce

    • ¼ av 67 seminal studies

  • Examples from machine learning:

    • Overfitting

    • Estimation: ¼ of results can be reproduced

  • Examples from publishing in general:

    • Reviewers pick up 2 of 8 deliberate mistakes (British medical journal)

    • An article with several obvious errors is accepted by ½ of the journals it was submitted to (biology/cancer)


Errors and statistical power

Errors and statistical power


Good research practice

Good research practice

  • Disclose sources of error

  • Use blinded data

  • Publish also negative results

  • Reproduction studies are important

  • Thorough peer review very important

  • ”Minimal-threshold journals” which demand good scientific quality but not that the research is ”new” and ”significant”


Conflicts

Conflicts

  • Scandal at Uppsala University, 2007

    • The scandal

    • Public reaction


Conflicts1

Conflicts

  • Mail storm

    • Leakage of internal mails onto public domain.

    • Publishing anonymously on internet.

    • Open discussion by several others in public domain.

    • Discussion on the credibility of research models.


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