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Increasing the presence of BIPOC researchers in computational science

Journal Article · · Nature Computational Science
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [4];  [10];  [11]
  1. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
  2. University of the Western Cape (South Africa); African Union, Addis Ababa (Ethiopia). Africa Centers for Disease Control and Prevention
  3. Rochester Institute of Technology, Rochester, NY (United States)
  4. University of Hawaii, Honolulu, HI (United States)
  5. University of Florida, Gainesville, FL (United States)
  6. Stanford University, CA (United States)
  7. University of Hawaii at Manoa, Honolulu, HI (United States)
  8. Pi‘ikū Co., Kailua, HI (United States)
  9. University of Hawaii at Manoa, Honolulu, HI (United States); ‘ĀinaQuest, Honolulu, HI (United States)
  10. Michigan State University, East Lansing, MI (United States)
  11. Taiuru & Associates Limited, Auckland (New Zealand); Ngāi Tahu, Ngāti Kahungunu, Ngāti Toa, Auckland (New Zealand)
+ Show Author Affiliations

Here, Nature Computational Science asked a group of scientists to discuss strategies for increasing the presence of Black, Indigenous, People of Color (BIPOC) researchers in computational science, as well as the various considerations to be made for improving education and methods design.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
2545961
Report Number(s):
LLNL--JRNL-867596; 1103200
Journal Information:
Nature Computational Science, Journal Name: Nature Computational Science Journal Issue: 9 Vol. 4; ISSN 2662-8457
Publisher:
Springer NatureCopyright Statement
Country of Publication:
United States
Language:
English

References (10)

Where Generalized Equitable Design Practice Meet Specific Indigenous Communities conference May 2024
Racial inequity in grant funding from the US National Institutes of Health journal January 2021
Race, Ethnicity, and NIH Research Awards journal August 2011
Prioritizing diversity? The allocation of US federal R&D funding journal September 2022
When Communication Meets Computation: Opportunities, Challenges, and Pitfalls in Computational Communication Science journal April 2018
Systemic racial disparities in funding rates at the National Science Foundation journal November 2022
A Comprehensive Approach to Clustering of Expressed Human Gene Sequence: The Sequence Tag Alignment and Consensus Knowledge Base journal November 1999
Americans misperceive racial economic equality journal September 2017
Introducing computational social science for Asia-Pacific communication research journal April 2019
The Matthew effect in science funding journal April 2018

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99 GENERAL AND MISCELLANEOUS