Computing Community Consortium (CCC)

CCC is thrilled to announce that six new computing researchers have joined our council! Please join us in welcoming Weisong Shi, Rayid Ghani, Sebastian Elbaum, Rachel Greenstadt, Manish Parashar, and Gabrielle Allen.   We look forward to their contributions to CCC and the computing community as whole! Read more about them here: https://lnkd.in/eyyhs9Uu #CCC #Computing #Researchers

CCC is pleased to highlight another IR/AI organizer, Hamed Zamani! Zamani is an expert in information retrieval. He is an Associate Professor in the Manning College of Information and Computer Sciences, UMass Amherst. He also serves as the Associate Director of the Center for Intelligent Information Retrieval (CIIR). Prior to UMass, he was a Researcher at Microsoft AI Research. His research focuses on designing and evaluating statistical and machine learning models for a wide range of information retrieval problems, including search engines, recommender systems, and question answering. He is a co-author of the "Retrieval-Enhanced Machine Learning" article, which is at the core of this visioning workshop. He likes history and enjoys visiting historical places, reading about them, watching historical art, and everything about them. Read more about him here: https://lnkd.in/eApi8bh7 #CCC #Workshops #InformationRetrieval #GenerativeAI #AI

How have new technologies impacted society? CCC Council Chair Nadya Bliss sat down with Arizona State University News to discuss a CCC whitepaper she co-authored on the unforeseen harms of new technologies and how to better anticipate them. Read more on our blog here: https://lnkd.in/eC3HJYWP. And if you haven’t already, check out the Addressing the Unforeseen Deleterious Impacts of Technology’s (AUDIT) whitepaper: https://lnkd.in/eZtF2Jh3 #CCC #Computing #Technology

Exciting news from the National Science Foundation (NSF) workshop on Sustainable Computing for Sustainability! The report is out, highlighting key recommendations for tackling complex sustainability challenges. It emphasizes interdisciplinary collaboration, education integration, local impact awareness, and holistic approaches to foster impactful outcomes. And CCC's very own Chandra Krintz was a part of the steering committee that helped identify new research. Check out our blog for more on this report: https://lnkd.in/eWaUnHmq #CCC #Computing #Sustainability #Education #Workshops

CCC would like to introduce one of the organizers of the IR/Ai workshop, Eunsol Choi! Choi is an assistant professor in computer science. She will join New York University from Fall 2024, and currently holds an assistant professor position at The University of Texas at Austin (UT). Prior to UT, she spent a year at Google AI as a visiting researcher. Her research area spans natural language processing and machine learning. She is particularly interested in interpreting and reasoning about text in a dynamic real world context. Besides work, she enjoys visiting art museums and national parks. Read more about her work here: https://eunsol.github.io/ #CCC #Workshops #InformationRetrieval #GenerativeAI #AI

Today on CCC Weekly Computing News, National Science Foundation (NSF)'s new Leadership-Class Computing Facility at TACC, UT Austin is set to launch in 2026. Meet Horizon, their powerhouse supercomputer, promising a 10x boost in simulation capabilities and 100x for AI applications compared to Frontera. This facility will drive cutting-edge discoveries across science and engineering, bolstering U.S. leadership in AI and computational research. Check it out on our blog: https://lnkd.in/eK7ZTNtR #CCC #Computing #Research

If you could create a large-scale funding program at the boundary of IR and GenAI at the NSF or any other funding agency, which one would you choose? Tell us why in the comments.

Today’s attendee profile goes to Bhaskar Mitra! Mitra is a Principal Researcher at Microsoft Research based in Montréal, Canada. His research focuses on AI-mediated information and knowledge access and questions of fairness and ethics in the context of these sociotechnical systems. He is interested in evaluation and benchmarking, and co-organized the MS MARCO ranking leaderboards, the TREC Deep Learning Track (2019-2023), and the TREC Tip-of-the-Tongue Track (2023-2024). Before joining Microsoft Research, he worked on search technologies at Bing for 15+ years. He received his Ph.D. in Computer Science from University College London. Want to join in on the conversation of IR/AI? Share your thoughts in the comments below. #CCC #Workshops #InformationRetrieval #GenerativeAI #AI

Calling all AI enthusiasts! How can IR researchers team up with AI/ML experts to enhance Gen AI/LLMs? Choose one, then share your thoughts in the comments. #CCC #Computing #AI #AIResearch #MachineLearning

Today’s attendee profile goes to Haw-Shiuan Chang! Chang is a postdoc at University of Massachusetts Amherst and was a postdoctoral scientist at Amazon AGI Foundation Organization in 2022-2024. His research topics include LLM factuality, story generation, self-supervised learning, active learning, recommendation, natural language processing and machine learning in general. His method of estimating reviewer-paper affinity has been adopted by top machine learning conferences such as NeurIPS and ICLR between 2020 and 2023. Want to join in on the conversation of IR/AI? Share your thoughts in the comments below. #CCC #Workshops #InformationRetrieval #GenerativeAI #AI