CCC spoke with one of its council members, Rachel Greenstadt about her work in trustworthy intelligent systems and her approach to this research through an interdisciplinary lens. What interests you about trustworthy intelligence systems? When I say intelligent systems, I mean socio-technical systems that include humans and computers collaborating. Humans can be awful sometimes, but also great. Intelligent systems can do delightful things, but are also really gullible and lack social sophistication. To realize their benefits, we need to figure out how they can fit into our society and enhance the best rather than worst instincts of humanity. It also touches on a lot of different areas so as someone […]

The Community Computing Consortium (CCC) is engaging in a new visioning activity to craft a research agenda focused on how human-computer collaborations can solve some of the most pressing scientific problems through citizen science, crowdsourcing, and community-engaged science.  We are excited to announce a visioning workshop titled “Grand Challenges for the Convergence of Computational and Citizen Science Research.” The workshop will take place in Washington, DC, from April 8 to 9, 2025, with an opening dinner on April 7.  The workshop will cover several key focus areas including Human-Computer Teaming, Computational Citizen Science, Citizen Science Data Cyberinfrastructure, the development of affordable sensors for citizen science, and the ethical and social […]

The Community Computing Consortium (CCC) is thrilled that council vice chair Katie Siek will be speaking on how we need to think of menopause more inclusively at the “Using Artificial Intelligence to Better Understand Menopause” Women’s Health Workshop. People of all genders can experience menopause and people within care networks are also important to support people going through menopause. Specifically, as a human centered computing researcher, Siek believes knowing what people’s experiences are, working with people and believing people are crucial to tackling ongoing challenges in menopause research.  Here is a sneak peak of her talk: Knowing what people’s experiences are We can do this by scraping social media, forums, […]

In this installment of CCC’s Weekly Computing News, we are sharing an exciting opportunity to attend a workshop centered around Artificial Intelligence (AI) and Menopause as a part of the White House’s Women’s Health Initiative.  Using Artificial Intelligence to Better Understand Menopause On September 4, this webinar co-led by the National Science Foundation (NSF) and National Institutes of Health (NIH), will unite experts from biomedical research and advanced computing to address menopause, a crucial yet often overlooked area of women’s health. While attention has been put on fertility, pregnancy, and childbirth, menopause has not received the same level of focus. This webinar aims to change that by exploring how AI […]

The Computing Community Consortium (CCC) is pleased to share that council member Weisong Shi was awarded two grants from the National Science Foundation (NSF) to further autonomous research at the University of Delaware. Here’s more about his research: Machine Learning (ML) has become a driving force in advancing many critical domains, particularly in autonomous driving. The growing power of ML techniques enables autonomous vehicles (AVs) to perceive their surroundings accurately, make real-time decisions, and operate reliably without human input. Given the safety-critical nature of AVs, ensuring the end-to-end safety of their learning systems is paramount.  However, Shi’s research indicates that potential safety issues can arise from various sources, including the […]

The Computing Community Consortium (CCC) is proud to announce the publishing of Weisong Shi’s book on Vehicle Computing. We spoke with him to discuss the process and key takeaways for researchers and practitioners.   What was the process of writing this book? This book originated from a vision paper we published at IEEE ICDCS 2018. In that paper, we envisioned future connected and autonomous vehicles (CAVs) as advanced computers on wheels, equipped with extensive onboard sensors serving as data sources and a range of services supporting autonomous driving and other functions. We proposed the development of an Open Vehicular Data Analytics Platform (OpenVDAP) for CAVs. Seven years later, the students […]