
Workshop: Expanding The Agenda For Inclusive Policy, Practices,
And Research Regarding Gender And Computer Science
Over the course of the workshop, participants will collectively develop an initial research agenda that explores intersectional identities for TNB students as they move through the CS ecosystem. Overlaying the exploration of these topics is the recognition that both the field of computing and the experiences of individuals operate in a socio-historical context in which dimensions of relationality, power, social inequality, social context, complexity and social justice must be acknowledged and incorporated into our work.
KEY DATES: January 10 - 12 from 2:00 - 5:00 PM (EST)

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Take a moment to look at the materials from our first two panel sessions linked below.
Guest Facilitator, Day 2

Dr. Christina N. Harrington (she/her) is a designer and qualitative researcher who works at the intersection of interaction design and health and racial equity. She combines her background in electrical engineering and industrial design to focus on the areas of universal, accessible, and inclusive design. Specifically, she looks at how to use design in the development of products to support historically excluded groups such as Black communities, older adults, and individuals with differing abilities in maintaining their health, wellness, and autonomy in defining their future. Christina is passionate about using design to center communities that have historically been at the margins of mainstream design. She looks to methods such as design justice and community collectivism to broaden and amplify participation in design by addressing the barriers that corporate approaches to design have placed on our ability to see design as a universal language of communication and knowledge. Dr. Harrington is currently an assistant professor in the HCI Institute at Carnegie Mellon University where she is also the Director of the Equity and Health Innovations Design Research Lab.

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This material is based upon work supported by the National Science Foundation (Award #2233622). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
