First CaRDS seminar of the year 23/24:
The AI Tennessee Initiative
Lynne E. Parker, Director, AI Tennessee Initiative, University of Tennessee, Knoxville
The AI Tennessee Initiative is a new research and education initiative led by the University of Tennessee, Knoxville, with the goal of enabling the State of Tennessee to become a leader in the data-driven knowledge economy. Working with academic, industry, non-profit, and community organizations across the state, this initiative is focused on the State of Tennessee’s unique AI strengths and opportunities. The initiative is strongly transdisciplinary and aims to leverage the benefits of AI across all disciplines and economic sectors, including smart manufacturing, climate-smart agriculture and forestry, precision health and environment, future mobility, and AI for science. This talk will overview the AI Tennessee Initiative and actions to date, with a goal of spurring conversation on how ETSU can engage, contribute, collaborate, and benefit from this effort.
Where? D.P.Culp University Center, Room 311
When? Thursday, September 14 at 2.00 pm
News from the South Data Hub, along with recent programs and projects of relevance for CaRDS:
The Data Sharing and Cyberinfrastructure Working Group is a collaboration across all
four NSF Big Data Hubs that invites presenters from across the nation to share and
receive feedback on the latest technology. The group works to increase awareness and
availability of CI and big data innovations for the national community. The group
also hopes to identify gaps in CI, capabilities, and data sources to foster further
improvement to the national data research infrastructure, content, and capabilities.
DataBytes: AI Ethics Through the Lens of Causality — A Theory of Fairness | Virtual
| June 20 at 4 PM ET
To understand fairness, one must unify central ideas from the social sciences and humanities to mathematics and computer science. Join Christopher Lam, CEO of Epistamai, as he shows how to model a principal cause of algorithmic bias and directly map it to the two fundamental laws of causal inference. Additionally, he will show how to bridge the field of causal inference to machine learning, providing us with a novel way to visualize the different ways that a supervised machine learning model can discriminate. These causal models may help policymakers on both sides of the aisle to modernize AI regulations so that they are aligned to society’s values. Learn more on their website.
PEARC 2023 | Portland, OR | July 23 - 27
Registration is open for ACM PEARC23, which will be held from July 23 to July 27, 2023 at the prestigious Oregon Convention Center in Portland, Oregon. The conference theme will be “Computing for the Common Good" and will provide a forum for discussing challenges, opportunities, and solutions among the broad range of participants in the research computing community. Technical tracks include Applications and Software, Systems and Systems Software, and Workforce Development, Training, Diversity, and Education. Learn more on their website.
The annual Data Matters short-course series, a week-long series of one or two-day courses aimed at students and professionals in business, research, and government, will return August 7 - 11, 2023 in partnership with RENCI and the Odum Institute. If possible, please circulate this opportunity with your staff, faculty, and students, and share the information with relevant internal listservs and newsletters. Additionally, if you are interested in promoting this opportunity on social media, please use the hashtag #DataMatters and feel free tag us @TheNCDS on Twitter or The National Consortium for Data Science on LinkedIn.
Smoky Mountain Conference 2023: Data Challenge
ORNL announces this year's Smoky Mountain Conference Data Challenge. The registration is open until June 20. The SMC Data Challenge 2023 consists of six data analytics challenges based on data sets provided by ORNL. Researchers at all career stages, including students, are encouraged to participate. Winners will be given a DOI. Selected teams will be invited to the conference, give a 3-minute lightning talk and present a poster describing their solution at SMC2023