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Lunch Talk: Policies and Machine Learning Processes Which Reduce Bias in HST Time Allocation
Add to Calendar 2020-02-12T17:15:00 2020-02-12T18:00:00 UTC Lunch Talk: Policies and Machine Learning Processes Which Reduce Bias in HST Time Allocation Davey Laboratory (538)
Start DateWed, Feb 12, 2020
12:15 PM
to
End DateWed, Feb 12, 2020
1:00 PM
Presented By
Lou Strolger (STScI)
Event Series:

Abstract: Most resource allocation for observatory time (or money) is done through peer review processes that can be time consuming and prone to bias. STScI has implemented new policies, tools, and streamlining mechanisms to reduce bias. This talk will showcase these changes, and share some preliminary results on their effects from the most recent HST Cycles.

Host:  Caryl Gronwall

 
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