Centering Health Justice and Trans Well-Being - Livestream

In celebration of International Transgender Day of Visibility, join two scientific presentations that will help raise awareness of systemic issues that impact trans, nonbinary, and gender-diverse individuals, as well as those with intersecting identities.

Generating Models of Gender Affirming Hormone Therapy While Centering the Needs of Trans, Nonbinary, and Gender-Diverse Individuals

Gender-affirming hormone therapies have been developed with very specific physical outcomes, but little research has been conducted on the long-term impact of these therapies on neuronal physiology, function, and behavioral outcome. This lack of knowledge has been weaponized by anti-transgender activists to limit access to care. Aghi outlines areas of translational research and research questions that center the well-being of trans, nonbinary, and gender-diverse individuals, while simultaneously filling the gaps in the literature.

Speaker: Krisha Aghi, UC Berkeley

Translating Intersectionality to Machine Learning Fairness

To date, machine learning fairness has reduced the multilevel and systemic process of discrimination to a limited assessment of model performance metrics across groups. In this talk, Lett reframes fairness through the lens of intersectionality, a Black feminist theoretical framework that contextualizes individuals in interacting systems of power and oppression, and, in doing so, Lett encourages a paradigm shift in machine learning fairness from an emphasis on model metrics to an intersectional approach that is centered around achieving health justice.

Speaker: Elle Lett, Boston Children's Hospital

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