Special Seminar 10/28/2020 — Policies And Machine Learning Processes Which Reduce Bias In HST Time Allocation (speaker: Lou Strolger, STSci)

Wednesday October 28, 2020 4:00 pm
via Zoom

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: Kiyoshi Masui


Event Contact

Debbie Meinbresse