This article dives into the meaning of DEI in academia, and contains a list of steps discussing specific actions people–particularly those with intersecting privilege and power–should take in order to improve it. This specific list of steps can be undertaken by university leaders, and includes: Initial upskilling and continued personal development, Inclusive actions and timescales, and Resource commitment. Read the full paper here!
conference link
May 31 – June 2, 2023
Program Chairs: Moulay A. Aziz-Alaoui, Hocine Cherifi
Invited speakers gender ratio: 3 Women: 3 Men (50%)
Estimated base rate of women in the field: 43%*
BWN rating: 3, within 1 standard deviation above base rate
*Method of estimation: previously established base rate of women in the neuroscience field
summer school and symposium link
August 14-24, 2023
Organising Committee: Ulf Lüder, Li Zhaoping, Maria Pavlovic, Junhao Liang
Invited speakers: 6 Women: 15 Men (29%)
Estimated base rate of women in the field: 43%*
BWN rating: 1, within 2 standard deviations below base rate
*Method of estimation: previously established base rate of women in the neuroscience field
September 3-14, 2023
Organising Committee: Ahmed El Hady, Yonatan Loewenstein, David Hansel
Faculty gender ratio: 2 Women: 9 Men (18%)
Estimated base rate of women in the field: 43%*
BWN rating: 1, within 2 standard deviations below base rate
*Method of estimation: previously established base rate of women in the neuroscience field
This chrome extension is measures the ratio of men and women mentioned on any site. It’s extremely useful for better understanding what you’re reading, and to see how biased certain sites might be! According to MakeItShe, only 1 in 3 people mentioned online are women, despite making up 1/2 of the population. Download the extension here to learn more and start using it!
link
September 20-29, 2023
Organising Committee: Sacha Van Albada (Julich), Albert Gidon (U Berlin), Hermann Cuntz (Ernst Strüngmann Institute, Frankfurt), Alain Destexhe (CNRS), Matteo di Volo (University Lyon 1), Spase Petkoski (Aix-Marseille Univ.), Gorka Zamora-Lopez (Universitat Pompeu Fabra)
Preliminary** speakers gender ratio: 3 Women: 18 Men (14%)
Estimated base rate of women in the field: 26%*
BWN rating: 1, within 2 standard deviations below base rate
*Method of estimation: previously established base rate of women in the computational neuroscience field
** If more speakers get added before the start date, we will update accordingly!
conference link
July 16-20, 2023
Organising Committee: Alzheimer’s Association
Plenary speakers gender ratio: 2 Women: 2 Men (50%)**
Estimated base rate of women in the field: 43%*
BWN rating: 3, within 1 standard deviation above base rate
*Method of estimation: previously established base rate of women in the neuroscience field
** If more plenary speakers get added before the start date, we will update accordingly!
This code base and diversity statement template by Dale Zhou et al was nominated to our DEI Repository by a Faculty member, who said “This resource has impacted how my lab evaluates and revises our reference lists in all of our scientific papers (prior to submission) to ensure that we are fairly canvassing marginalized scholars in our field.”
To use it, the nominator said: “We apply this code to the reference list of our paper. It provides us with information about how we are citing. Are we overciting scholars from majority groups (e.g., men, white people) and underciting scholars from minority groups (e.g., women, people of color)? If so, by how much? We use those percentages to drive us back to the literature to learn more about the scholars in our field and their work, and cite them accordingly.“
This github repository provides code to check the predicted racial and gender makeup of your citations, so that you can see how the citations you selected compare to the base rates of published papers in your field. It also provides a diversity statement template which presents the information in a clear way. This is a great resource to use to ensure you are citing and conducting literature review in a less biased way!
Check out more resources from our DEI Repository and submit your own recommendations here!
conference link
May 21-26, 2023
Organising Committee: Mario De Bono, Lisa Stowers, Ilona C. Grunwald Kadow, Dayu Lin
Speakers gender ratio: 20 Women: 19 Men (51%)
Estimated base rate of women in the field: 43%*
BWN rating: 4, within 2 standard deviations above base rate
*Method of estimation: previously established base rate of women in the neuroscience field
conference link
July 22-26, 2023
Organising Committee: Organization for Human Brain Mapping
Featured speakers gender ratio: 4 Women: 4 Men (50%)
Estimated base rate of women in the field: 32.5%*
BWN rating: 4, within 2 standard deviations above base rate
*Method of estimation: previously established base rate of women in the neural structure and brain modeling field
biaswatchneuro 