The increasing prevalence of neurodivergence has led society to give greater recognition to the importance of neurodiversity. Yet societal perceptions of neurodivergence continue to be predominantly negative. Drawing on Critical Disability Studies, ...

It is now widely acknowledged that machine learning models, trained on data without due care, often exhibit discriminatory behavior. Traditional fairness research has mainly focused on supervised learning tasks, particularly classification. While ...

Participatory design (PD) often prioritises being vocal and equal as signs of empowerment in enabling social change. But what can such preference inadvertently ignore, like silence and passivity? What relationships might be prevented or put at risk when ...

Broadening participation in computing research and initiatives has addressed the longstanding underrepresentation of women, Black people, Latinx people, and persons with disabilities. However, there is limited research on the participation of Black boys. ...

Understanding issues of intersectionality in education is vital for creating equitable learning environments. Intersectionality emphasizes the complexity of students' identities, including race, gender, and socioeconomic status, and how they interact to ...

In this paper, we contribute three design manifestos that start from our queer, crip experiences to resist dominant designs and practices of productivity. Through our manifestos, we explore tensions in glitching three technologies of productivity (...

Fat liberation is a social movement advocating for equal treatment of fat people, who are currently subjected to harmful stereotypes, harassment, discrimination at school and work, and medical mistreatment, and is an understudied movement in HCI ...

ChatGPT is a conversational agent built on a large language model. Trained on a significant portion of human output, ChatGPT can mimic people to a degree. As such, we need to consider what social identities ChatGPT simulates (or can be designed to ...

Content creators (e.g., gamers, activists, vloggers) with marginalized identities are at-risk of experiencing hate and harassment. This paper examines the ableist hate and harassment that disabled content creators experience on social media. Through ...

The access needs of neurodivergent individuals in organizational settings are many and varied - and so are their everyday contributions to the creation of collective access. In this study, we contribute to the growing body of CSCW research on ...

Transformative media fandom is a remarkably coherent, long-lived, and diverse community united primarily by shared engagement in the varied activities of fandom. Its social norms are highly-developed and frequently debated, and have been studied by the ...

The lack of diversity in Computer Science can create a toxic culture and contribute to higher turnover rates and low rates of participation by underrepresented groups (URGs). One common way to broaden participation is to promote initiatives that support ...

Objectives. We aim to understand, from a motivational perspective, how Black undergraduate women in computing make sense of their intersectional computing experiences. We examine their motivation to major in computing, their experiences as Black women in ...

Improving equity and inclusion for underrepresented groups in the field of Computer Science (CS) has garnered much attention. In particular, there is a long-standing need for diversity efforts that center on the experiences of Black women, and specific ...

Enhanced participation of Black women in CS education research is of ethical imperative, and empowering individuals who would otherwise not be able to fully engage in this community improves the quality of research and increases our national potential to ...

Educational outcomes for students belonging to disadvantaged social identities are unavoidably influenced by overlapping systems of inequity which arise along lines such as gender, ethnicity, and age. Robot platforms like Furhat require designers to ...

Culturally responsive computing scholars often use the metaphor and heuristic of intersectionality to address issues of race and gender in research with Black, Brown, and Indigenous children in U.S. K12 computer science (CS) education. This has led to ...

Despite the emergence of intersectional computing and increased scholarship that utilizes the concept of intersectionality, there is a lack of consensus about the appropriation of intersectionality as a critical framework within the computing education ...

Assessments that can measure student understanding of concepts in a reliable and valid way are incredibly valuable in research. Unfortunately, assessments can be a source of bias, differentially impacting students along various demographic lines. ...

Computing self-efficacy is an important factor in shaping students' motivation, performance, and persistence in computer science (CS) courses. Therefore, investigating computing self-efficacy may help to improve the persistence of students from ...