Flagship Industry Gathering for Knowledge Discovery and Data Mining Will Convene Aug. 14-18 in Washington, D.C.
AI and Data Science Applications for Government, Health, and Deep Learning to Be Explored on Special Conference Days
Experts from Harvard, USC and UC Santa Cruz Will Deliver Compelling Keynotes
WASHINGTON, May 24, 2022 /PRNewswire/ — The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) today announced registration is open for KDD 2022, which will take place Aug. 14-18, 2022 in Washington, D.C. at the Walter E. Washington Convention Center. The annual KDD conference is the premier international, interdisciplinary data science gathering, bringing together researchers and practitioners from data science, machine learning, big data and artificial intelligence to fuel innovation.
For more information about KDD 2022, visit https://www.kdd.org/kdd2022/.
“The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics—from data-driven humanitarian mapping and applied data science in healthcare to AI for climate mitigation and decision intelligence for online marketplaces,” said Wei Wang, SIGKDD chair, Leonard Kleinrock chair professor in computer science, and director of the Scalable Analytics Institute at University of California, Los Angeles. “Building on the success of last year’s virtual gathering, this year’s conference will blend in-person and virtual sessions, maximizing opportunities for attendance and engagement from data science leaders in academia, industry, and government.”
In addition to more than 30 half-day workshops on applications of artificial intelligence, machine learning and applied data science for a variety of use cases, special conference days will offer tracks on government, health and deep learning. Confirmed keynote speakers from leading academic institutions are:
Lise Getoor, Jack Baskin endowed chair of computer engineering and founding director of the Data Science Research Center at University of California, Santa Cruz
Milind Tambe, Gordon McKay professor of computer science, faculty director of the Center for Research in Computation and Society at Harvard University, and director of “AI for Social Good” at Google Research India
Shang-Hua Teng, Seeley G. Mudd professor of computer science and mathematics at University of Southern California
Outstanding data science practitioners will be honored during the conference with SIGKDD Innovation, Service, Rising Star, and Test of Time Awards. The Innovation and Service Awards recognize an individual or group of collaborators whose technical innovations in the field of knowledge discovery and data mining have had a lasting impact, and an individual or group whose professional services contributions to the field are remarkable. Launched in 2020, the Rising Star Award aims to promote current SIGKDD …….