Pattern Recognition in Neuroimaging Summer School 2020

Pattern Recognition in Neuroimaging Summer School 2020

Organizers: Research Group Neuroinformatics (University of Vienna) & Vienna Cognitive Science Hub
Faculty gender ratio: 0 Women: 7 Men (0%)
Estimated base rate of women in the field: 19%*
BWN rating: 1

*Method of estimation: We searched NIH RePORTER with keywords “pattern recognition” AND neuroimaging, and then counted the ratio of women among the unique researchers in 1 page of results using our python script.

Robot-Aided Neuromechanics: Using Robots to Study Sensorimotor Function and Impairment

Robot-Aided Neuromechanics: Using Robots to Study Sensorimotor Function and Impairment

Organizers: Fabrizio Sergi, Laura Marchal-Crespo, Hyunglae Lee & Etienne Burdet
Faculty gender ratio: 3 Women: 13 Men (19%)
Estimated base rate of women in the field: 37%*
BWN rating: 1

*Method of estimation: We searched NIH RePORTER with keyword neuromechanics AND sensorimotor, and then counted the ratio of women among the unique researchers in 1 page of results using our python script.

NeurIPS2020: Workshop on Biological and Artificial Reinforcement Learning

NeurIPS2020: Workshop on Biological and Artificial Reinforcement Learning

Organizers: Raymond Chua, Feryal Behbahani, Sara Zannone, Rui Ponte Costa, Ida Momennejad, Blake Richards & Doina Precup
Invited speaker gender ratio: 5 Women: 3 Men (63%)
Estimated base rate of women in the field: 24-25%*
BWN rating: 5

*Method of estimation: Previously established base rate of women in reinforcement learning.

Neuroscience School of Advanced Studies Advanced Course: Functional Neurogenetics and Genomics (NSAS 2020)

Neuroscience School of Advanced Studies Advanced Course: Functional Neurogenetics and Genomics (NSAS 2020)

Director: Daniel Geschwind
Faculty gender ratio: 2 Women: 4 Men (33%)
Estimated base rate of women in the field: 36%*
BWN rating: 2

*Method of estimation: We searched NIH RePORTER with keyword neurogenetics, and then counted the ratio of women among the unique researchers in 7 pages of results using our python script. We left 5 names unclassified.

Neuroscience School of Advanced Studies Advanced Course: Microbiota and the Brain (NSAS 2020)

Neuroscience School of Advanced Studies Advanced Course: Microbiota and the Brain (NSAS 2020)

Director: John Cryan
Faculty gender ratio: 4 Women: 4 Men (50%)
Estimated base rate of women in the field: 35%*
BWN rating: 3

*Method of estimation: We searched NIH RePORTER with keywords microbiota AND brain, and then counted the ratio of women among the unique researchers in 25 pages of results using our python script.

Neuroscience School of Advanced Studies Advanced Course: Neuroinflammation (NSAS 2020)

Neuroscience School of Advanced Studies Advanced Course: Neuroinflammation (NSAS 2020)

Director: Robert Dantzer
Faculty gender ratio: 1 Woman: 6 Men (14%)
Estimated base rate of women in the field: 35%*
BWN rating: 1

*Method of estimation: We searched NIH RePORTER with keyword neuroinflammation, and then counted the ratio of women among the unique researchers in 51 pages of results using our python script. We left 38 names unclassified.

CNS*2020 Workshop: Dissecting the role of interneurons in mnemonic functions using computational modelling approaches

CNS*2020 Workshop: Dissecting the role of interneurons in mnemonic functions using computational modelling approaches

Organizers: Alexandra Tzilivaki & Spiros Chavlis
Invited speaker gender ratio: 1 Woman: 4 Men (20%)
Estimated base rate of females in the field: 17-20%*
BWN rating: 3

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

Spiking neural networks as universal function approximators: Learning algorithms and applications

Spiking neural networks as universal function approximators: Learning algorithms and applications

Organizers: Dan Goodman & Friedemann Zenke
Invited speaker gender ratio: 2 Women: 6 Men (25%)
Estimated base rate of women in the field: 15%*
BWN rating: 3

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