Organizer: Fritjof Helmchen (Program Chair)
Sponsors: see here
Invited speaker gender ratio: 7 Women: 8 Men (47%)
Keynote speaker gender ratio: 5 Women: 4 Men (56%)
Estimated base rate of women in the field: 43%*
BWN rating: 3
*Method of estimation: previously established base rate of women in neuroscience.
Organizers: José L. Pons & Diego Torricelli (Program Chairs)
Invited speaker gender ratio: 3 Women: 8 Men (27%)
Keynote speaker gender ratio: 1 Woman: 2 Men (33%)
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.
UCI Symposium on Reproducibility in Machine Learning (UCI ML 2020)
Organizers: Sameer Singh & Padhraic Smyth
Sponsors: National Science Foundation
Speaker gender ratio: 1 Woman: 3 Men (25%)
Estimated* base rate of women in the field: 15%
*Method of estimation: Previously established base rate of women in neurally inspired machine learning.
Bilbao Neuroscience and Computational Biology workshop (BioNCB’20)
Organizers: Serafim Rodrigues, Mathieu Desroches, Elena Akhmatskaia, Andrea Guidolin & Jone Uria Albizuri
Sponsors: Basque Center for Applied Mathematics (BCAM), Inria, Basque Foundation for Science, Department of Education of the Basque Government, Excelencia Severo Ochoa
Speaker gender ratio: 4 Women: 11 Men (27%)
Estimated* base rate of women in the field: 17-18%
*Method of estimation: previously established base rate of women in computational neuroscience.
7th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2020)
Organizers: Erol Gelenbe, Kaoru Hirota (honorary chairs)
Sponsors: IEEE Sweden Section, International Fuzzy Systems Association, and IEEE Computational Intelligence Society
Keynote speaker gender ratio: 1 Woman : 2 Men (33%)
Estimated* base rate of females in the field: 15%
*Method of estimation: Previously established base rate of women in neurally inspired machine learning.
7th ICML Workshop on Automated Machine Learning (AutoML 2020)
Organizers: Hal Daumé III, Aarti Singh (Program Chairs)
Sponsors: see here
Keynote speaker gender ratio: 1 Woman : 2 Men (33%)
Estimated* base rate of females in the field: 15%
*Method of estimation: Previously established base rate of women in neurally inspired machine learning.
Organizer: Thomas Nowotny (Program Chair)
Sponsors: see here
Invited keynote speaker gender ratio: 1 Woman : 3 Men (25%)
Estimated* base rate of women in the field: 17-20%
*Method of estimation: Previously established base rate of women in computational neuroscience.
Dendrites 2020: Dendritic anatomy, molecules, and function
Organizers: Panayiota Poirazi, Kristen Harris, Matthew Larkum, Michael Häusser
Sponsors: EMBO Molecular Medicine, EMBO Press
Speaker gender ratio: 8 Women : 9 Men (47%)
Estimated* base rate of women in the field: 43%
*Method of estimation: previously established base rate of women in neuroscience
NEURONUS 2020 IBRO Neuroscience Forum
Organizers: Marta Klimczak, Michał Zaręba, Michał Kuniecki, Michał Ślęzak, Anton M.L. Coenen, Aleksandra Gruska-Gosiewska, Anna Błasiak, Weronika Janeczko
Sponsors: see here
Keynote speaker gender ratio: 2 Women : 4 Men (33%)
Estimated* base rate of women in the field: 31%
*Method of estimation: previously established base rate of women in neuroscience.
ReplaysInParis: Hippocampal Replay, Emotional Valence and Reinforcement Learning
Organizers: Benoît Girard, Mehdi Khamassi and Karim Benchenane
Sponsor: RHiPAR project of the 80|PRIME CNRS program
Speaker gender ratio: 3 Women : 5 Men (38%)
Estimated* base rate of women in the field: 37%
*Method of estimation: We searched NIH RePORTER with keyword replay OR (hippocampus AND memory) and then counted the ratio of women among the unique researchers in all 60 pages of results using our python script. We left 39 names unclassified, the base rate therefore could range from 36%-39%.
biaswatchneuro 