About the series
Talk Abstract:
Complex societal challenges require an "all hands on deck" approach, requiring methodologies and infrastructure to support collaborative teams. This talk will outline the critical role and synergistic catalysis potential of advanced cyberinfrastructure (CI) and artificial intelligence (AI) in enhancing the effectiveness and scalability of innovations and team work, discussing both the technological underpinnings and practical implementations of AI-integrated solutions and systems. Through examining real case studies leveraging open data platforms and scalable CI, the talk will highlight the role of composable systems and services to catalyze platforms to empower users from all backgrounds to engage in meaningful research, learning, and discovery. We will explore interdisciplinary approaches that combine expertise from multiple fields, enabling the creation of innovative, sustainable solutions that can adapt to evolving challenges. We will also discuss the needs for a digital continuum and AI-integrated ecosystem where data and research infrastructure are seamlessly integrated and universally accessible, bridging the gaps between data and computing through robust services, facilitating an inclusive AI landscape that empowers diverse research communities and domains. This approach underscores the importance of open, extensible, and equitable systems in driving forward the capabilities of AI, ultimately contributing to the resolution of grand scientific and societal challenges. Lastly, we will overview how the National Data Platform (NDP) and WIFIRE use this integrated use-inspired services approach to lower the barriers to entry and to streamline research and education workflows as well as societal challenges.
Speaker Bio:
Dr. İlkay Altıntaş, a research scientist at the University of California San Diego, is the Chief Data Science Officer of the San Diego Supercomputer Center as well as a Founding Faculty Fellow of the Halıcıoğlu Data Science Institute at the School of Computing, Information and Data Science. With a specialty in scientific workflows and systems, she leads collaborative teams to deliver impactful results and sustainable solutions through making computational data science and AI work more reusable, programmable, scalable, equitable, and reproducible. She is the Founding Director of the Workflows for Data Science Center for the development of methods and workflows for computational data science, and the WIFIRE Lab on AI methods for an all-hazards knowledge cyberinfrastructure. She is the PI of the NSF National Data Platform and other diverse NSF grants to develop scalable computing, AI and data systems at the digital continuum from edge to HPC. Among the awards she has received are the 2015 IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers and the 2017 ACM SIGHPC Emerging Woman Leader in Technical Computing Award. Ilkay serves on the elected Board of Governors for the IEEE Computer Society, and was appointed by California Governor Newsom to the Wildfire Technology Research and Development Review Advisory Board. Ilkay received a Ph.D. degree from the University of Amsterdam.
Zoom Information:
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