For many of us, it is hard to remember a time when finding information wasn’t ubiquitous with an internet search. With the rising popularity and influence of AI, what is next for the future of information retrieval? CCC addressed this question and others during the Future of Information Retrieval Research in the Age of Generative AI Workshop this summer in Washington, DC. Today, the CCC is thrilled to announce the release of the Future of Information Retrieval Research in the Age of Generative AI Workshop Report. The report was authored by the Workshop Organizers: James Allan (University of Massachusetts Amherst), Eunsol Choi (University of Texas at Austin / New York […]

The Computing Community Consortium (CCC) will be hosting the Supporting At-Risk Users Through Responsible Computing workshop from December 9-10 in Washington, DC. Their goal is to create a report summarizing best practices and guidelines to improve the quality of computing research involving at-risk individuals. Workshop Organizers Pamela Wisniewski (Vanderbilt University), Katie Siek (Indiana University),, Kevin Butler (University of Florida), Tammy Toscos (Parkview Health) and Sunny Consolvo (Google) are here to share the details. What are you most excited for at this workshop? Katie: I am excited to learn from researchers from different epistemological and disciplinary perspectives who work with diverse groups of at-risk populations.   Pam: This is an amazing […]

The Computing Community Consortium (CCC) would like to encourage young researchers to consider applying for a spot at the 12th Heidelberg Laureate Forum (HLF) in Heidelberg, Germany from Semptember 14-19, 2025. According to the request, young researchers in mathematics and computer science from all over the world can apply for one of the 200 exclusive spots to participate in the annual networking conference.  “The HLF offers all accepted young researchers the unique opportunity to interact with the laureates of the most prestigious prizes in the fields of mathematics and computer science. Traditionally, the recipients of the Abel Prize, the ACM A.M. Turing Award, the ACM Prize in Computing, the Fields […]

The Computing Community Consortium (CCC) would like to encourage you to consider applying to attend the Breadth of Practices in Academia/Industry Relationships workshop in Seattle, WA on March 20-21, 2025. According to the request, collaboration between academia and industry is crucial for driving technological innovation and fostering economic growth. By identifying successful partnership models and a range of effective practices, stakeholders can strengthen these connections to stimulate new ways of engagement between academia and industry. “Participants will engage in meaningful discussions, share best practices, and contribute to the development of a ‘breadth of practices’ document to be shared with the broader computing research community.” Interested individuals should email CRA-I Manager […]

Did you know that LGBTQ+ youth face a higher risk of exposure to potentially harmful interactions on social media than their heterosexual peers? Exposure to such interactions has been linked to negative impacts on their mental health. Other “at-risk” users include individuals from marginalized communities such as survivors of abuse, people with disabilities, or those from low-income backgrounds. To address disproportionate digital harm to these individuals, CCC will be hosting a workshop on, “Support At-Risk Users Through Responsible Computing,” from December 9-10 in Washington, DC.  Technology has the power to connect, empower, and create opportunities, but for certain individuals and communities, it can also pose significant risks. Whether it’s online […]

The Computing Community Consortium (CCC) would like to encourage you to consider submitting a proposal to Schmidt Sciences SAFE-AI: Safety Assurance through Fundamental Science in Emerging AI program. The SAFE-AI: Safety Assurance through Fundamental Science in Emerging AI program seeks research proposals to advance the science of AI safety.  According to the request, the goal of the program is to deepen our understanding of the safety properties of systems built with large language models (LLMs) and to develop well-founded, concrete, implementable technical methods for testing and evaluating LLMs.  “The program will improve understanding of the relationships between and implications of various testing methodologies, grow the technical AI safety academic community, […]