WORKSHOPS @ CSCW 2026

• Saturday
• COMPASS: The 2nd International Workshop on Socio-technical Approaches to Content Moderation and Platform Governance
• The Capacity to Care: Designing Social Technology for Sustained Engagement With Societal Challenges
• Beyond Productivity: AI, Community, and Sustainability in Open Source Software
• TikTok on the Clock: Public Scholarship and CSCW in 2026
• Caste and Technology: Interpretations and Explorations in CSCW and beyond
• Broader Impacts of GenAI in Communication: Building Agendas for Research, Design, and Policymaking
• Research and Design for Sociotechnical Systems: What's Next for Infrastructure and Collaborative Ecologies?
• Towards Cross-Pollination Between CSCW and Frontline Environmental and Climate Justice
• Sunday
• Exploring Ethics Governance for AI as Research Object and Research Tool
• Growing Up (and Old) with AI: Co-Constructing the Future for Family-Centered AI
• "Nobody Did This": Contribution, Originality, and Accountability in Agent-Mediated Collaboration
• Where Does Privacy Research Go From Here? Navigating the Challenges and Paths Forward
• AI-Enabled Fraudulent Participation in Human-Subjects Research
• Work in Progress: Re-imagining Workplace Accessibility in Diverse Organizational Contexts
• Women's Health as Cooperative Work: Participatory AI Across Care, Community, and Policy

DESCRIPTION: Content moderation is an essential yet increasingly complex component of maintaining safe and inclusive online environments. Platforms navigate a growing range of harms, including misinformation, hate speech, harassment, exploitative material, and emerging challenges associated with generative AI and evolving platform infrastructures. At the same time, content moderation extends well beyond automated detection: it also involves defining community guidelines, designing intervention strategies, assessing downstream effects, promoting desirable contributions, and accounting for cultural, legal, and organizational differences across contexts. Addressing these challenges requires a multidisciplinary perspective that connects socio-technical approaches with human-centered design, governance, ethics, and regulation. COMPASS will thus foster a dialogue on content moderation and platform governance among researchers and practitioners from CSCW, HCI, computational social science, law, communication, and related fields. Building on the strong engagement of the first edition, successfully held at AAAI ICWSM 2025, this workshop will provide a venue to examine moderation as a socio-technical problem shaped by platforms, policies, communities, and institutional constraints. By bringing together diverse perspectives and emphasizing interaction and exchange, COMPASS will strengthen cross-disciplinary collaboration and advance timely, human-centered approaches to online safety and governance.

VENUE: TBA

ORGANIZERS:

• Robyn Caplan, Duke University
• Stefano Cresci, IIT-CNR
• Catalina Goanta, Utrecht University
• Shagun Jhaver*, Rutgers University
• Sanjay Kairam*, OpenAI
• Koustuv Saha*, University of Illinois
• Savvas Zannettou, TU Delft

WEBSITE: TBA

DESCRIPTION: People care about climate change, injustice, and humanitarian crises. The challenge is not apathy but capacity: sustained engagement with large-scale problems is psychologically costly, and social media architecture often amplifies awareness while providing few pathways to meaningful action. The result is rising distress, overwhelm, and disengagement — particularly among young people who encounter global suffering through platforms designed for attention capture rather than constructive response. This full-day, in-person workshop brings together researchers and designers to examine how social technology can support sustainable care: engagement that people can maintain over time without burning out. Grounded in Tronto's care ethics framework, the workshop combines brief introductions to the framing with hands-on group work, where participants diagnose how current platforms help or hinder care in specific domains (e.g., climate, public health, civic engagement) and sketch concrete design directions. The day closes with a large-group reflection on open research questions for the CSCW community. We invite submissions from researchers, designers, and practitioners working on social technology, civic engagement, well-being, and adjacent areas.

VENUE: TBA

ORGANIZERS:

• JaeWon Kim*, University of Washington
• Lindsay Popowski*, Stanford University
• Louisa Conwill*, University of Notre Dame
• Elizabeth 'Lizzie' Li*, Northwestern University
• Meryl Ye*, Carnegie Mellon University
• Jiaying 'Lizzy' Liu*, University of Texas at Austin
• Jose A. Guridi*, Cornell University
• Theia Henderson*, MIT CSAIL
• Bingxu Han*, Stanford University
• Dennis Wang*, National Yang Ming Chiao Tung University
• Angel Hsing-Chi Hwang*, University of Southern California
• Susan Wyche*, Michigan State University
• Yasmine Kotturi*, University of Maryland, Baltimore County
• Gillian R. Hayes*, University of California, Irvine
• Angela D. R. Smith*, University of Texas at Austin

WEBSITE: https://positech.github.io/cscw2026.html

DESCRIPTION: Open source software (OSS) development communities have long provided digital infrastructure worldwide and been a central subject of CSCW research on online communities and peer production. However, the ongoing emergence of generative AI and agentic coding is disrupting OSS collaboration and project organizations. Recent literature indicates that some productivity gains have been observed by contributors, but these benefits have not been evenly distributed across OSS projects and communities. Moreover, generative AI has disrupted socialization norms in these communities with slop produced by bots, agents, and bad-faith AI-assisted contributions. The resulting technical debt and invisible labor faced by maintainers in handling the influx of AI-generated code critically threaten the sustainability of OSS projects. In this one-day workshop, we will bring together researchers and OSS stakeholders to explore the risks these communities face and discuss interventions for sustaining OSS collaboration. In addition to supporting the long-term viability of open-source software, we seek to understand how AI influences coordination, trust, and equity within large-scale collaborative work environments.

VENUE: TBA

ORGANIZERS:

• Eli Min, Georgia Institute of Technology
• Hana Frluckaj, University of Texas at Austin
• Matt Gaughan, Northwestern University
• Kaylea Champion, University of Washington
• Kevin Crowston, Syracuse University
• Benjamin Mako Hill, University of Washington
• James Howison, University of Texas at Austin

WEBSITE: https://wiki.communitydata.science/OSS_AI_Workshop_(CSCW_2026)

DESCRIPTION: Public scholarship provides CSCW researchers with opportunities to share expertise with a wide audience through a variety of activities, including engagement with news media, use of social media, and creative projects. Such activities arm the public with evidence-based insights on impacts of emerging technologies and can benefit CSCW researchers by helping them grow their profile. However, public scholarship may also expose researchers to risks like online harassment and attacks from government agencies — risks that are particularly acute for researchers belonging to marginalized groups and who study topics like diversity in tech and online safety. Rapidly changing technical and political landscapes have heightened the importance and risks of engaging in public scholarship; however, there is little support for researchers undertaking these efforts. This workshop aims to support CSCW scholars interested in unpacking the potential and practicalities of public scholarship by showcasing ways CSCW researchers can engage in public scholarship and building solidarity amidst this evolving landscape.

VENUE: TBA

ORGANIZERS:

• Sarah Gilbert*, Cornell University
• Casey Fiesler*, University of Colorado Boulder
• Bya Beatrys*, Cornell University
• Dylan Thomas Doyle*, Northwestern University
• Avriel Epps*, University of California Riverside
• Anna Lenhart*, University of Maryland College Park
• Kate Starbird*, University of Washington

WEBSITE: https://sites.google.com/cornell.edu/cscw-public-scholarship-2026/home

DESCRIPTION: HCI/CSCW scholarship has actively investigated harms that are perpetuated when historical, political, and social realities are sidelined within techno-scientific development and research. One such emerging site of investigation is caste, where scholars have shown how narratives of casteless-ness are portrayed through lack of engagement with realities of caste in the world of computing. There is emerging work examining the relationship between caste and technology, such as social media and generative AI, but there is little effort to conceptualize caste within HCI/CSCW. While scholars have informally described this site of investigation as 'Caste Computing', yet there exists no manifesto as to what it means or what its goals/values are? Therefore, in order to understand and define Caste Computing as a field within HCI/CSCW research, we plan to gather diverse scholars, practitioners, and activists to initiate conversation around four themes: a) what is caste?, b) what is/is not caste computing?, c) what does caste as lens/framework/analytical category looks like to investigate various technologies?, and d) what is the future agenda of caste and technology research? This workshop provides a platform to complicate and critique the relationship between caste and techno-scientific assemblages to build anti-caste futures.

VENUE: TBA

ORGANIZERS:

• Divyanshu Kumar Singh*, University of Colorado Boulder
• Palashi Vaghela, Simon Fraser University
• Dipto Das*, University of Toronto
• Srravya Chandhiramowuli, University of Edinburgh
• Meenakshi Yadav*, University of Texas at Austin
• Rida Qadri*, Google Research, USA
• Ashwin Rajadesingan, University of Texas at Austin, USA
• Koustuv Saha*, University of Illinois Urbana-Champaign, USA
• Bryan Semaan*, University of Colorado Boulder, USA

WEBSITE: https://castetech-cscw26.github.io/

DESCRIPTION: GenAI is increasingly integrated into a broad range of activities in communication, from drafting messages and creating content to summarizing and filtering information that people receive. It has also become commonly used across a wide range of settings, from interpersonal to social. Accordingly, the impacts of GenAI have extended well beyond each communication session, which prior research has primarily focused on, and warrant a more holistic examination. For example: How can GenAI’s mediation of language affect human cognition and well-being? How can the integration of GenAI in communication shift people’s opinions and beliefs? How should ownership and attribution of AI-generated content be defined? How can the erosion of effort and authenticity signals in communication by GenAI affect trust and relationships? Many of these questions remain largely open. More importantly, we lack a shared agenda for whether and how these impacts constitute risks that warrant action, and what research, design, and policy responses are needed. We call on the CSCW community—bringing together researchers, designers, and practitioners—to build empirical foundations for understanding the range of these impacts, identify a broader set of corresponding risks, and translate findings into concrete design and policy agendas for mitigation.

VENUE: TBA

ORGANIZERS:

• Jiayin Zhi, University of Chicago
• Lan Gao, University of Chicago
• Angel Hsing-Chi Hwang, University of Southern California
• Jessica He, IBM Research
• Alexis Hiniker, University of Washington
• Munmun De Choudhury, Georgia Institute of Technology
• Marshini Chetty, University of Chicago
• Mina Lee, University of Chicago

WEBSITE: https://broader-impacts-workshop.github.io/cscw2026-website/

DESCRIPTION: We are living in a period of infrastructural upheaval: scholarly communication infrastructures are straining under the combined weight of a labor crisis and a wave of AI slop, and open source projects are threatened by a surge of low-quality AI contributions, funding crises, and emerging cybersecurity risks. What infrastructures will replace what is currently being broken? And how can designers and scholars take on an active role in the design of future infrastructures when most of us mainly work on the small scale? A promising direction in infrastructure studies is to investigate the ``collaborative sociotechnical ecologies'' that are necessary for designing, creating, using, maintaining, and repairing infrastructural tools, systems, and applications. Collaborative ecologies are diffuse, often networked, assemblages of collaborators, data, and technologies that are necessary to create infrastructure in the first place, and also for making use of the affordances of infrastructure post development. This workshop seeks to bring together like-minded scholars and practitioners who are already taking on or are deeply interested in what it means to research, design, or develop both within and for the collaborative sociotechnical ecologies required to create and maintain multi-sited, networked infrastructural systems that bridge the physical and digital.

VENUE: TBA

ORGANIZERS:

• Joel Chan*, University of Maryland
• James D. Herbsleb*, Carnegie Mellon University
• Charlotte P. Lee*, University of Washington
• Irene V. Pasquetto, University of Maryland
• Erin Robinson*, Metadata Game Changers
• Ronen Tamari, Cosmik
• Anissa Tanweer, University of Washington

WEBSITE: https://cscw2026-infrastructure-workshop.github.io/

DESCRIPTION: TBA

VENUE: TBA

ORGANIZERS: TBA

WEBSITE: TBA

DESCRIPTION: Are you working on ethical guidelines and norms for AI as either a research object (developing or evaluating AI) or a research tool (using AI to support research)? In the tradition of CSCW workshops that address emerging research challenges by developing consensus, procedures, and new research ideas, this workshop will focus on AI challenges for CSCW research. We will map the current landscape of methods and interventions available to govern AI research practices, and will cooperatively brainstorm next steps for governing practices in the CSCW community. We will begin with case studies of ethics governance as tools to think with and critique, and ask participants to present their own research on ethics governance, the doing of ethics in research, or stakeholder perspectives on ethical issues in AI research. We will work together on a potential special issue highlighting themes from the day, and come up with next steps to respond to the ways AI challenges ethics in CSCW research.

VENUE: TBA

ORGANIZERS:

• Sarah Mathew*, Georgia Institute of Technology
• Megan Finn*, (American University
• Cosmin Munteanu (University of Waterloo
• Katie Shilton*, (University of Maryland, College Park
• Richmond Wong*, (Georgia Institute of Technology

WEBSITE: https://sites.gatech.edu/ethics-governance-ai-workshop/

DESCRIPTION: As AI tools become more accessible to the general public, their presence and prominence within family contexts are increasing. However, similar to existing interactive technologies, AI tools are rarely tailored for collective use within an interconnected family unit. This overlooks the opportunities for shared AI use within families, as well as the conflicts and negotiations necessary to manage it. Bridging expertise across AI in education, child-computer interaction, social computing, and family studies within the CSCW community, this workshop convenes researchers to examine how AI shapes intergenerational dynamics, from child development to eldercare, and how caregivers navigate the institutional systems (e.g., schools) surrounding the family. By grounding our approach in established sociotechnical and HCI frameworks, participants will deconstruct normative assumptions about the household to define "family-centered AI." Through structured group activities, we will co-construct a research and design agenda to build an interdisciplinary, collaborative community of researchers and practitioners dedicated to designing an equitable, value-sensitive future for families navigating life alongside AI.

VENUE: TBA

ORGANIZERS:

• Xiaoyi Tian, Kennesaw State University & North Carolina State University
• Renkai Ma, University of Cincinnati
• Qiao (Georgie) Jin, North Carolina State University
• Kaiwen Sun, Indiana University Bloomington
• Afsaneh Razi, Drexel University
• Yang Shi, Utah State University
• Bengisu Cagiltay, Koç University
• Jerry Alan Fails, Boise State University
• Yubo Kou, The Pennsylvania State University

WEBSITE: https://extendedhorizon.com/cscw2026ws-family-ai/

DESCRIPTION: Collaborative knowledge work is changing in ways that go deeper than disclosure or transparency. LLM agents are now embedded in how teams research, design, write, and decide: mediating between team members, synthesizing inputs, reformulating ideas, and drafting shared outputs. They do not only facilitate collaboration; they operate within the collaborative workflow at the moment when contributions are being formed. In doing so, they risk undermining the social conditions under which contribution can be witnessed, attributed, and held accountable. This workshop brings together researchers and practitioners to confront what we call contribution dissolution: the blurring of attribution, originality, and accountability in agent-mediated collaborative work. We argue that this dissolution begins before collaboration itself, in the individual worker's own uncertainty about what, in their agent-mediated work, is genuinely theirs, and propagates through collaborative relationships, collapsing the reliability that makes productive intellectual exchange possible. Through provocative position statements, hands-on mapping exercises, and the workshop activity, participants will surface how framing accountability in collaborative work as a documentation problem (e.g., AI use statements, watermarking, provenance logs) overlooks the conditions under which accountability is produced. Our goal is to produce a shared research agenda and the foundations of an infrastructural response to contribution dissolution in collaborative knowledge work.

VENUE: TBA

ORGANIZERS:

• Kashif Imteyaz, Northeastern University
• Mohammad Rashidujjaman Rifat, University of Notre Dame
• Divya Ramesh, University of North Carolina at Charlotte & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
• Steven R. Rick, NVIDIA
• Simo Hosio, University of Oulu
• Hauke Sandhaus, Cornell Tech
• Advait Sarkar, Microsoft Research & University of Cambridge & University College London
• Christoph Riedl, Northeastern University
• Saiph Savage, Northeastern University

WEBSITE: https://kashifimteyaza.github.io/agent-mediated-collaboration/

DESCRIPTION: Networked privacy has been a focus of CSCW research, but the highly contextual nature of privacy presents complex challenges that researchers must navigate. For instance, as technologies evolve, new forms of and mechanisms causing privacy violations emerge. This is further complicated by the fact that individual and population-level differences can drastically alter perceptions and experiences navigating privacy online. Furthermore, attempts to capture such contextually relevant factors has led to a proliferation of privacy frameworks, all with different underlying scopes and assumptions, making it difficult to compare research across contexts. In sum, privacy research is time-consuming, often focused on a specific context with a specific population, making it difficult for scholars to study quickly shifting technologies and the lived experiences of privacy violations, let alone provide solutions. This workshop will bring together the research community so that we can identify and align on the grand challenges in privacy research and prioritize a future research agenda for our community. This could include theoretical and methodological improvements, ways to study quickly proliferating new technologies, navigating pluralism, and working towards societal impact. We invite privacy researchers, industry practitioners, privacy advocates, and others to join us in shaping the future of privacy research.

VENUE: TBA

ORGANIZERS:

• Kirsten Chapman*, Brigham Young University
• Ozioma C. Oguine*, University of Notre Dame
• Kaitlyn Klabacka*, Brigham Young University
• Andrew Cambridge*, Brigham Young University
• Eszter Vigh*, IT University of Copenhagen
• Karla Badillo-Urquiola*, University of Notre Dame
• Louise Barkhuus*, New York University
• Cori Faklaris*, University of North Carolina at Charlotte
• Pamela J. Wisniewski, International Computer Science Institute
• Xinru Page*, Brigham Young University

WEBSITE: https://cscw2026.hciprivacy.com/

DESCRIPTION: Fraudulent use of AI is increasingly prevalent in human-subjects research, rendering many traditional bot-detection methods ineffective and, consequently, raising significant concerns about data integrity among researchers who work with human-subjects data. Tools are being developed to address concerns about fraudulent participation; however, it remains unclear which best practices to follow for prevention or mitigation, how effective the adopted preventative measures are, and to what extent one can trust the collected data. In this workshop, we will bring together human-computer interaction and social computing researchers to exchange strategies for addressing fraudulent participation, assess the effectiveness of existing detection methods, discuss the potential risks and opportunities of AI in human-centered research, and develop method-specific guidelines for fraud prevention/detection and the research dissemination/review process. The workshop involves full-group activities, breakout discussions divided by research methods, and the production of a draft document summarizing method-specific guidelines that will be shared with the wider CSCW community for feedback. We hope that the conversation started during this workshop will spur deeper engagement from CSCW and the wider SIGCHI research community to implement approaches to minimize the negative impact of AI-enabled fraudulent participation in research.

VENUE: TBA

ORGANIZERS:

• Weijia He*, University of Southampton
• EunJeong Cheon*, Syracuse University
• Chia-Fang Chung*, University of California, Santa Cruz
• Dipto Das*, University of Toronto
• Harmanpreet Kaur*, University of Minnesota
• Toby Jia-Jun Li*, University of Notre Dame
• Jessica Vitak*, University of Maryland, College Park
• Yaxing Yao*, Johns Hopkins University

WEBSITE: https://fraudulent-participation-workshop.github.io/

DESCRIPTION: CSCW has long examined how work across diverse contexts is accomplished through collaboration, coordination, and technology. As the landscape of work and technical infrastructure continues to evolve, workplace accessibility remains an urgent and complex challenge. Workplace accessibility encompasses the technologies, practices, and organizational arrangements through which disabled workers navigate and participate in technology-mediated work. It is not merely a technical challenge but deeply structural, organizational, and social in nature, with compounding impacts on disabled workers. Addressing it requires thinking beyond compliance-focused approaches toward a more holistic understanding of how computing systems, organizations, and workplace cultures enable or constrain disabled participation. This workshop brings together researchers from CSCW and beyond interested in accessibility, work, disability, and organizational studies, and their intersection, alongside practitioners and disabled workers with lived experiences, to examine workplace accessibility across diverse contexts and career stages. Through structured dialogue and speculative design activities, participants will engage with empirical findings, share experiences, and collectively examine how assumptions and power dynamics shape today's workplaces, while exploring what more accessible organizational futures could look like. The goal of this workshop is to support the development of research and practice agendas for a more accessible future of work.

VENUE: TBA

ORGANIZERS:

• Aparajita S. Marathe*, University of California, Irvine
• Barbara N. Carreras, University of Copenhagen
• Vishal Sharma*, University of Notre Dame
• Maitraye Das, Northeastern University
• Anne Marie Piper*, University of California, Irvine

WEBSITE: https://sites.google.com/uci.edu/workplace-accessibility-cscw26/home

DESCRIPTION: This one-day, in-person CSCW 2026 workshop reframes participatory AI for women’s health not as the design of better tools for individuals, but as the redesign of the cooperative infrastructures across homes, clinics, communities, and policy through which women’s health is coordinated. Although ACM scholarship has separately addressed women’s health technologies, chronic illness collaboration, healthcare AI, participatory design, and care work, no venue has yet synthesized these strands into a CSCW agenda centered on coordination, accountability, labor distribution, and risk. Bringing together CSCW scholars, HCI and AI researchers, clinicians, public-health practitioners, and community advocates, the workshop will examine how AI reshapes women’s health systems across care, community, and policy. Through cooperative-work mapping, structured accountability analysis, participatory redesign, and whole-group synthesis, participants will co-produce shared artifacts, including cooperative-work maps, accountability diagrams, redesign principles, and a collaborative research agenda. The workshop is designed to establish women’s health as an urgent CSCW domain and to build a stronger interdisciplinary community around participatory AI, women’s health, and sociotechnical infrastructures of care.

VENUE: TBA

ORGANIZERS:

• Sherilyn Francis*, Georgia Institute of Technology
• Teresa K. O’Leary*, NYU Grossman School of Medicine
• Jamelle Watson-Daniels*, Meta FAIR
• Asha Immanuel* Center for Black Women’s Wellness
• Daprim Ogaji, University of Port Harcourt
• Mesfin Kahissay, Addis Ababa University
• Demi Priscilla Letsa, MSI Reproductive Choices
• Darley Sackitey*, Georgia Institute of Technology
• Kandyce Hylick*, StratisWell
• Mercy Asiedu*, Google Research
• Naveena Karusala*, Georgia Institute of Technology
• Shaowen Bardzell*, Georgia Institute of Technology
• Andrea Parker*, Georgia Institute of Technology

WEBSITE: https://sites.gatech.edu/womenshealth-cscw26