I am thrilled to share that I am reporting from Heidelberg, Germany this week where I am attending the 11th Heidelberg Laureate Forum as a member of the press. The forum brings together young researchers across mathematics and computing disciplines, and distinguished Laureates that have won significant awards in the fields, to network and learn from one another. The program consists of panels, workshops, lightning discussions, poster sessions, networking opportunities, and more in the beautiful old town of Heidelberg. As a member of the press, I have the opportunity to represent CCC in interviews with many of the incredible laureates, and listen in on groundbreaking lectures and discussions about pressing […]

In March 2020, the Computing Community Consortium (CCC) partnered with the Code 8.7 Initiative to bring together over fifty experts from the computing research community, along with anti-slavery practitioners and survivors. The mission was clear: to chart a research roadmap that explores how artificial intelligence (AI) can be leveraged in the fight against human trafficking.  Building on the momentum from the 2019 Code 8.7 conference at the United Nations, this workshop aimed to align the bold objectives of the 20-Year Community Roadmap for AI Research in the U.S. with the crucial goal of eliminating modern slavery, as outlined in the UN’s Sustainable Development Goal Target 8.7. Here are five critical […]

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 […]

In this installment of CCC’s Weekly Computing News, we are sharing an exciting opportunity for undergraduate students across the country to work on cutting-edge research projects at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign. Students dive deep into machine learning and deep learning The Research Experience for Undergraduates (REU) The Future of Discovery: Training Students to Build and Apply Open Source Machine Learning Models and Tools (FoDOMMaT) program offers an immersive 10-week experience every summer for undergraduates eager to develop practical skills and contribute to real-world projects.  Students are paired with two mentors, one focused on research and the other on machine learning expertise. […]

Envisioning a future of digital twins leads to near limitless possibilities. Researchers predict digital twins will become increasingly personalized, with every individual having access to a digital twin of their own body. Imagine receiving real time updates from your phone to monitor your health conditions and predict health crises before they happen, or athletes receiving instant updates on their training regimens and recommendations for improving. This future is possible, however significant further research is necessary.    In addition, researchers and stakeholders need to be realistic about the current capabilities of these models, as well as informed about the future of development. That is why the Networking and Information Technology Research […]