Gender and Innovation: Indicators and Measurement Gaps
ADV Incorvaia, KH Fealing, L Schiebinger - Handbook of Innovation Indicators and …, 2023
Gender equity is receiving increased, worldwide attention, including within the field
of innovation. Practical steps that span various levels of operation should be taken to
collect and analyze sex and gender indicators. Benefits are both intrinsic and 

Enhancing Sex-and Gender-Based Analysis by Using Appropriate Sub-Variables
MR Peters, T Slade
On July 8, 2009, the Canadian Institutes of Health Research (CIHR) implemented a
requirement that all research applicants integrate sex and gender into their research
when appropriate (1). At the most basic level, Sex-and Gender-Based Analysis (SGBA) … 

Promoting inclusion, diversity, and equity in pain science
TM Palermo, KD Davis, D Bouhassira, RW Hurley, JD Katz, FJ Keefe, M Schatman, DC Turk…
Pain Medicine, 2023•academic.oup.com
Science and medicine have a long and troubling history of reinforcing racist, antiethnic, and sexist attitudes and beliefs, as well as ignoring and mistreating marginalized people. In their editorial in Nature [1], entitled “Science must overcome its
racist legacy,” Nobles and colleagues describe how the scientific enterprise has reinforced racist beliefs and cultures over time. For example, the authors discuss the impact of colonization on racism, 

Gender Equity Efforts in Sports Medicine
EE Johnson, GE Ode, ML Ireland, K Middleton… - Clinics in Sports Medicine, 2023
According to the 2021 Association of American Medical Colleges (AAMC)
matriculant data, 56% of medical students are women but there remains a clear lack
of representation of women among all surgical specialties. 1–6 Specifically, the 

Evaluating the Impact of Stereotypes and Language Combinations on Gender Bias Occurrence in NMT Generic Systems
B Triboulet, P Bouillon
Abstract Machine translation, and more specifically neural machine translation (NMT),
have been proven to be subject to gender bias in recent years. Following previous
studies’ methodology, we rely on a test suite formed with occupational nouns to …

Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?
A Mandal, S Leavy, S Little - arXiv preprint arXiv:2309.08760, 2023
Deep neural networks used in computer vision have been shown to exhibit many
social biases such as gender bias. Vision Transformers (ViTs) have become
increasingly popular in computer vision applications, outperforming Convolutional 

All best, Londa 
Londa Schiebinger
Director, EU/US Gendered Innovations in Science, Health & Medicine, Engineering, and Environment Project
http://genderedinnovations.stanford.edu
John L. Hinds Professor of History of Science, Stanford University
http://www.stanford.edu/dept/HPST/schiebinger.html