#BWNFridayPost: Equality, Diversity and Inclusion (EDI) Toolkit

Link to the website

EDI-toolkit is an amazing resource for definitions of EDI, research behind its importance, and various plans for improving EDI in neuroscience. This set of tools was developed alongside and based off of resources from the Human Brain Project, and includes guidelines for EDI in project governance, and in various parts of research development.

BrainConf: Synaptic Plasticity

Conference link
September 27-30, 2022

Organisers: Université de Bordeaux, Daniel Choquet, Laurent Groc, Aude Panatier

Total talks gender ratio: 14 Women: 21 Men (40%)
Estimated base rate of women in the field: 33%*
BWN rating: 3, within 1 standard deviation above base rate

**Method of estimation: previously established base rate of women in the molecular neuroscience field

#BWNFridayPost: Quantifying hierarchy and dynamics in US faculty hiring and retention

Link to the paper

Here is a link to a twitter thread by one of the authors

This paper by K. Hunter Wapman, Sam Zhang, Aaron Clauset, & Daniel B. Larremore evaluates the dynamics of various aspects of academia hiring in the US, and the extreme inequalities of this process. In a section of this study, they also find that while there are gains for women’s representation in academia in most subjects, these improvements are mostly a result of demographic turnover and earlier hiring changes. Thus, they suggest, that without further changes long-term gender parity in most fields will likely not be achieved.

They also have numerous other findings, such as that a small set of universities produce most of the US-hired professors, and that there is a higher attrition rate among non-US trained faculty.

Bernstein Conference 2022

Conference link
September 13-16, 2022

Organisers:
Raoul-Martin Memmesheimer, Christian Machens, Tatjana Tchumachenko, Moritz Helias, Anna Levina, Megan Carey, Brent Doiron, Tatiana Engel, Ann Hermundstad, Christian Leibold, Timothy O’Leary, Srdjan Ostojic, Cristina Savin, Mark van Rossum, Friedemann Zenke

Total speakers/talks gender ratio: 8 Women: 12 Men (40%)
Estimated base rate of women in the field: 26%*
BWN rating: 4, within or at 2 standard deviation above base rate

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

Neuromatch Conference 2022

Conference link

September 27-28, 2022

Organisers:
Dan Goodman, Konrad Kordin, Brad Wyble, Titipat Achakulvisut, Chris Rozell, Yiota Poirazi, Megan Peters, Bing Brunton, Anne Urai, Jennifer Bizley, Alberto Antonietti, Jeremy Forest, John Butler

Keynote speakers gender ratio: 2 Women: 2 Men (50%)
Estimated base rate of women in the field: 26%*
BWN rating: 3, within or at 1 standard deviation above base rate

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

Conference on Cognitive Computational Neuroscience 2022

Conference link

Organisers:
Thomas Naselaris, Hendrikje Nienborg, Russ Poldrack, Michael J. Tarr, Megan Peters, Leyla Isik, Gunnar Blohm, Jennifer Lieberman, Leila Wehbe, Julian Jara-Ettinger, Aldo Faisal, Jana Shaich Borg, Judy Fan

Invited (keynote) speakers gender ratio: 6 Women: 7 Men (46%)
Estimated base rate of women in the field: 35%*
BWN rating: 3, i.e. within 1 standard deviation above estimated base rate

*Method of estimation: previously established base rate of women in the fields of computational neuroscience and cognitive neuroscience

AI, Neuroscience and Hardware: From Neural to Artificial Systems and Back Again

Conference link

Organisers:
Sach Mukherjee, DZNE, Germany
Sachin Ranade, Nature Neuroscience, USA
Stefan Remy, DZNE, Germany
Joachim Schultze, DZNE, Germany
Owain Vaughan, Nature Electronics, UK
Liesbeth Venema, Nature Machine Intelligence, Germany
Natacha Cruz, Nature Research, USA
Hannah Mertens, DZNE, Germany

Invited speakers gender ratio: 8 Women: 9 Men (47%)
Estimated base rate of women in the field: 23.8%*
BWN rating: 5 (i.e. more than 2 stdev above base rate)

*Method of estimation: previously established base rate of women in the fields of neurally inspired machine learning and neural structure and brain modelling