Center for Scientific Review: Race and Peer Review by Dr. Noni Byrnes

This week’s BWN Friday Post is a briefing by Dr. Noni Byrnes, the director of the NIH Center for Scientific Review (CSR). She covers severals efforts happening at CSR to mitigate bias, including the implementation of a partially double-blind review process for the Transformative Research Awards.

Special Session on Neural Correlates Of Cognitive-Motor Robotic Neurorehabilitation at International Conference on NeuroRehabilitation (ICNR 2020)

Special Session on Neural Correlates Of Cognitive-Motor Robotic Neurorehabilitation at International Conference on NeuroRehabilitation (ICNR 2020)

Organizers: José L. Pons & Diego Torricelli (Program Chairs)
Keynote speaker gender ratio: 1 Woman: 2 Men (33%)
Invited speaker gender ratio: 3 Women: 8 Men (27%)
Estimated base rate of women in the field: 17%*
BWN rating: 3

*Method of estimation: We searched NIH RePORTER with keywords robotic AND neurorehabilitation within NINDS (Neurological Disorders and Stroke) agency, and then counted the ratio of women among the unique researchers in 1 page of results using our python script.

10th IEEE International Conference on Development and Learning (ICDL 2020)

10th IEEE International Conference on Development and Learning (ICDL 2020)

Organizers: Nicolás Navarro-Guerrero & María-José Escobar (Program Chairs)
Speaker gender ratio: 2 Women: 4 Men (33%)
Estimated base rate of women in the field: 45%*

*Method of estimation: We searched NIH RePORTER with keywords cognitive AND developmental AND learning, and then counted the ratio of women among the unique researchers in all 76 pages of results using our python script. We left 99 names unclassified.

Theoretical and Computational Neuroscience Summer School (CNeuro 2020)

Theoretical and Computational Neuroscience Summer School (CNeuro 2020)

Host: Tsinghua University
Faculty:

  • Rava Azeredo da Silveira (Ecole Normale Supérieure, France) 
  • Stella Christie (Tsinghua University) 
  • Damon Clark (Yale University, USA)
  • Carina Curto (Penn State University)
  • Ralf Haefner (University of Rochester, USA)
  • Yu Hu (HKUST, Hong Kong)
  • Daniel Lee (Cornell University)
  • Songting Li (Shanghai JiaoTong University)
  • Zhaoping Li (MPI of Biologial Cybernetics)
  • Cristina Savin (NYU) Lee (Cornell University, USA)
  • Eric Shea-Brown (University of Washington, USA)
  • Sara Solla (Northwestern University)
  • Sen Song (Tsinghua University, China)
  • Louis Tao (Peking University, China)
  • Xiaoqin Wang (Johns Hopkins University, USA)
  • Quan Wen (University of Science and Technology of China)
  • Hang Zhang (Peking University)
  • Kechen Zhang (Johns Hopkins University, USA)
  • Douglas Zhou (Shanghai JiaoTong University, China)

Faculty gender ratio (updated): 6 Women: 13 Men (32%)
Estimated base rate of women in the field: 17-18%*
BWN rating: 4

*Method of estimation: previously established base rate of women in computational neuroscience

9th IAPR Workshop on Neural Networks in Pattern Recognition (ANNPR 2020)

9th IAPR Workshop on Neural Networks in Pattern Recognition (ANNPR 2020)

Organizers: Frank-Peter Schilling & Thilo Stadelmann
Sponsors: ZHAW Zurich University of Applied Sciences, Swiss Alliance for Data-Intensive Services, International Association for Pattern Recognition (IAPR), Springer
Keynote speaker gender ratio: 0 Women : 4 Men (0%)
Estimated base rate of females in the field: 15%*

*Method of estimation: Previously established base rate of women in neurally inspired machine learning.

LIFE Theory Lab 2020

LIFE Theory Lab 2020: Contemporary theorizing, methodological advances, and future challenges for lifespan developmental science

Organizers: Markus Werkle-Bergner, Ulman Lindenberger & Imke Kruse
Speaker gender ratio: 3 Women: 7 Men (30%)
Estimated base rate of women in the field: 44%*

*Method of estimation: We searched NIH RePORTER with keywords lifespan AND developmental within NIA (National Institute on Aging) and NICHD (National Institute on Child Health and Human Development) agencies, and then counted the ratio of women among the unique researchers in all 26 pages of results using our python script. We left 14 names unclassified.