Despite recent increases, women continue to be underrepresented in science, technology,
engineering, and mathematics (STEM). Using social identity theory as a framework, this …

Ongoing efforts to improve diversity in science, technology, engineering, and mathematics
(STEM) primarily manifest as attempts to recruit more women and individuals from …

Machine Learning (ML) and'Artificial Intelligence'('AI') methods tend to replicate and amplify
existing biases and prejudices, as do Robots with AI. For example, robots with facial …

Objective This study sought to describe gender representation in leadership and recognition
within the US biomedical informatics community. Materials and Methods Data were collected …

Understanding student views about learning physics in the lab context can be invaluable for
efforts to improve student learning. In an ethnographic study in which two researchers …

Women may experience lower rates of entry and success into certain academic and
professional spaces because of their observations that their work contributions are less …

This research highlights the voices of 103 STEM (science, technology, engineering, and
math) women in academia who responded to a series of open-ended questions regarding …

Despite increasing awareness of the importance of mentorship and sponsorship in
academic medicine and gender differences in their receipt during early career stages …

Introduction: To study the effectiveness of any educational intervention for faculty requires
first that they attend the training. Using attendance as a measure of faculty engagement, this …

This study utilizes interviews with 33 racially diverse high school girls who have expressed
interest in engineering careers. Using the framework of critical consciousness and informed …