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To broaden the participation of disabled students in STEM, we conducted an outreach program to inspire blind and low vision (BLV) students to pursue these disciplines in college, educate them and their Teachers of the Visually Impaired (TVIs) about accessibility in higher education, and begin to forge partnerships with local high schools. This experience report describes planning an accessible 80-person, half-day event. Pre- and post-survey evaluations showed that learning about accommodations and self-advocacy from BLV college students' first-hand experiences was important for creating an inspirational STEM event. We also highlight how bringing together teachers from across the county and funding entities from across campus enabled us to bring greater visibility and sustainability to our initiative. 

Graduate computing programs are launchpads for innovative careers, yet a persistent access gap limits opportunities for graduate students with disabilities, particularly at the doctoral level. This paper therefore argues for targeted interventions to increase educational equity. We draw from the literature to outline key challenges and institutional barriers. We then propose prioritized actions for universities, which include crafting graduate-specific accommodation policies, enhancing assistive technology support, improving the accessibility of research materials and activities, and building disability-inclusive cultures. By building on existing disability support infrastructure-which currently focuses on undergraduates-institutions can broaden participation in graduate-level computing education. 

Demographic data on disability is being collected more and more by computing organizations. However, the meaning of that data can vary drastically depending on the ways that disability is defined (e.g., disabling conditions versus functional limitations) and determined (e.g., by experts or self-reported). In this paper we analyze the varying definitions and determinations of disability and how data about disability is collected by different organizations. We discuss issues associated with certain ways of collecting disability data and offer ways that disability data can be used to inform action towards more inclusive computing education. 

The benefits of co-curricular activities are well-documented, with improvements in academic and professional development. Unfortunately, while U.S. laws mandate equal access to co- and extracurricular activities for disabled students, participation of disabled students in co-curricular activities is lower than the participation of their non-disabled peers, and this critical part of engineering education is often inaccessible to disabled students. In this paper we review the documented benefits of co-curriculars for all students and make the case for increasing the research focus on co-curricular inclusion specifically for disabled students, who are minimally represented in the overall body of work on co-curricular activities. 

AI education is rapidly becoming essential as artificial intelligence transforms industries, yet students with disabilities often encounter significant barriers to learning and engagement. This paper examines accessibility challenges encountered by learners with visual, cognitive, and physical disabilities when using foundational tools for AI development. Using HuggingFace, an influential open-source platform, as a case study, we analyze barriers such as insufficient screen reader support, complex interfaces, and information overload. We propose design recommendations to promote equity and inclusivity in AI tools, aiming to empower diverse learners to thrive in AI education. Our work highlights the importance of inclusive design for CS educators, researchers, and policymakers. 

Some computing education researchers have shifted focus from broadening participation to justice-centered computing education (JCCE). JCCE teaches computing through its social-political implications, empowering students to create more just futures. While prior research theorizes and explores its classroom application, we know little about the collaborative processes instructors use to design and adapt curricula for such learning. We engaged in a 3-month curriculum co-design project as part of a research-practice partnership between a CS education researcher and an after-school STEAM instructor. Through duo-ethnography, we analyzed our curriculum design process. We highlight key emerging challenges and how we resolved them through the design process. Our findings focus on balancing students' technical proficiency with justice-centered pedagogy, showing that justice-centered curriculum design requires educators' ongoing content learning, reflection on positionality, and adaptability to students' needs, including those with disabilities. These findings bridge the theoretical discussion of justice-centered computing with the practical realities of curriculum design. 

AI education is rapidly becoming essential as artificial intelligence transforms industries, yet students with disabilities often encounter significant barriers to learning and engagement. This paper examines accessibility challenges encountered by learners with visual, cognitive, and physical disabilities when using foundational tools for AI development. Using HuggingFace, an influential open-source platform, as a case study, we analyze barriers such as insufficient screen reader support, complex interfaces, and information overload. We propose design recommendations to promote equity and inclusivity in AI tools, aiming to empower diverse learners to thrive in AI education. Our work highlights the importance of inclusive design for CS educators, researchers, and policymakers.