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New York Scientific Data Summit 2024: Addressing Data Challenges in Digital Twins
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US/Eastern
SUNY Global Center New York, NY 10022 USA
SUNY Global Center New York, NY 10022 USA
Description
Motivation
Now in its 10th year, the New York Scientific Data Summit, known as NYSDS, aims to accelerate data-driven discovery and innovation in science and industry. Hosted by the Computational Science Initiative of Brookhaven National Laboratory (BNL), the summit serves as a forum to connect diverse participants from the greater New York region and beyond to foster discussion and collaboration.
Addressing Data Challenges in Digital Twins
Continuing the tradition of themed topics, NYSDS 2024 will focus on data-related challenges impacting the development and deployment of digital twins. Digital twins are virtual representations of physical objects, systems, or processes that can be used to study or support design, operation, and control of their real-world counterparts. With continuing advancements in machine learning and artificial intelligence, high-performance computing, and applied mathematics, digital twins are poised to improve operational efficiencies and precision in many areas, including science, engineering, and medicine.
Virtual Human Global Summit 2023ย demonstrated the potential for biomedical digital twins to enhance personalized precision medicine. It also identified several challenges that must be addressed before the full potential of digital twins can be realized. Digital twins employed in other application areas face similar challenges in terms of data quality, data management, reproducibility, data safety, security, and privacy.
Summit Format
NYSDS 2024 will bring together global researchers from academia, national labs, and industry to exchange ideas about how to effectively collect, manage, analyze, and visualize data for trustworthy digital twins in diverse areas. The summit will feature invited presentations, spanning overviews of digital twins and their applications along with technical advances in addressing different data challenges. Each day also will include expert panel discussions, examining future opportunities for digital twins.
Event ID: B000006193
Summit Coordinators
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08:15
Registration/Continental Breakfast
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Motivating Applications of Digital Twins and Challenges
From science, engineering to medicine
Convener: Meifeng Lin (Brookhaven National Laboratory)-
1
Opening and Plan of the DaySpeaker: Meifeng Lin (Brookhaven National Laboratory)
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2
Welcome RemarksSpeaker: Nicholas D'Imperio (Brookhaven National Laboratory)
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3
Informing Medical Digital Twins: Highlights from the Virtual Human Global SummitSpeaker: Eric Stahlberg (Frederick National Laboratory for Cancer Research)
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4
Multiscale Digital Twins for Precision Modeling and Predictive Cell Survival OutcomesSpeaker: Anuj Kapadia (Oak Ridge National Laboratory)
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5
Digital Twins for Wind Energy and Leading-Edge Erosion DetectionSpeaker: Susan Minkoff (Brookhaven National Laboratory)
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1
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10:00
Coffee Break
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Data Acquisition and Management
Challenges and techniques in data acquisition and management in the development and deployment of digital twins.
Convener: Kelly Rose (NTEL)-
6
FAIR Data Management at the Joint Genome InstituteSpeaker: Kjiersten Fagnan (Lawrence Berkeley National Laboratory)
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7
Curating Carbon Storage Data for Reuse: Enabling Research and Modeling from Earthโs Surface to SubsurfaceSpeaker: Paige Morkner (National Energy Technology Laboratory)
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8
TIPPSS to address data-related challenges in the development & deployment of digital twinsSpeaker: Florence Hudson (Columbia University)
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6
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Panel DiscussionConvener: Eric Stahlberg (Frederick National Laboratory for Cancer Research)
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9
Grand challenges and cross-disciplinary collaborations for digital twinsSpeakers: Anuj Kapadia (Oak Ridge National Laboratory), Frank Alexander (Argonne National Laboratory), Jeren M. Browning (Idaho National Laboratory), Meifeng Lin (Brookhaven National Laboratory)
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9
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12:00
Lunch
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Sponsor PresentationsConvener: Meifeng Lin (Brookhaven National Laboratory)
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10
Data Vault HoldingsSpeaker: Nathaniel Bradley (Data Vault)
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10
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Machine Learning and Data Quality - Part IConvener: Shinjae Yoo (Brookhaven National Laboratory)
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12
Frontier AI for Science, Security and Technology (FASST)Speaker: Frank Alexander (Argonne National Laboratory)
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13
On Training Foundation Models on FrontierSpeaker: Sajal Dash (Oak Ridge National Laboratory)
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14
Data aggregation and integration for energy infrastructure modelingSpeaker: Kelly Rose (National Energy Technology Laboratory)
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15
Physics-Informed Machine Learning and Generative AI for Surrogate Modeling in Science and IndustrySpeaker: Mike O'Keeffe (NVIDIA)
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16
(Remote) AuroraGPT: Rationale, Data Challenges and Development of an AI Research AssistantSpeaker: Franck Capello (Argonne National Laboratory)
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12
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15:10
Coffee Break/Group Photo
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Machine Learning and Data Quality - Part IIConvener: Matthew Carbone (Brookhaven National Laboratory)
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18
Synthetic Teammates: Leveraging Digital Twins to Optimize Human-AI Performance in Critical MissionsSpeaker: Svitlana Volkova (Aptima)
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20
Operationalizing Biomedical Digital Twins compliant with the National Academies Report: issues regarding machine learning and data qualitySpeaker: Gary An (University of Vermont)
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Panel DiscussionConvener: Meifeng Lin (Brookhaven National Laboratory)
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21
Biomedical Digital Twin Industry PanelSpeakers: Anastasia Christianson (EPAM), Josh Ellis (Intempo Health), Michael Hadjisavas (p-Chips), Nathaniel Bradley (Data Vault)
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21
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17:30
Networking Reception
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08:15
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08:10
Registration/Continental Breakfast
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Validation, Verification and Uncertainty Quantification (VVUQ)
The importance, challenges and techniques for VVUQ in the digital twin setting.
Convener: Mohammad Atif (Brookhaven National Lab)-
22
Fusion Energy Digital Twins - from Experiment to Power PlantSpeaker: Michael Churchill (Princeton Plasma Physics Laboratory)
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23
Recent developments in uncertainty quantification and model validation for complex systemsSpeaker: Roger Ghanem (University of Southern California)
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24
Uncertainty in Digital Twins from Imperfect System InformationSpeaker: Nathan Urban (Brookhaven National Laboratory)
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25
Navigating uncertainty to build trust in digital twinsSpeaker: Anirban Chaudhuri (University of Texas Austin)
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22
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10:00
Coffee Break
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Data Visualization and Virtual Reality
Visualization and interactive interfaces for human-in-the-loop digital twin operations.
Convener: Wei Xu (Brookhaven National Laboratory)-
26
Towards Efficient Neural Representation of Visual Computing DataSpeaker: Qi Sun (New York University)
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27
Towards the creation of digital twins for scientific simulations using visualization surrogatesSpeaker: Han-Wei Shen (The Ohio State University)
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26
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Panel DiscussionConvener: Nathaniel Bradley (Data Vault)
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29
Digital Twin Impact and MarketSpeakers: Barton Fiske (NVIDIA), Grace Peng (NIH), Michael Churchill (PPPL), Mihir Parikh (Nishith Desai Associates)
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29
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12:00
Lunch
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Lightning TalksConvener: Mohammad Atif (Brookhaven National Lab)
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30
Voice-Enabled Beamlines at National Synchrotron Light Source II (NSLS-II)Speaker: Shray Mathur (Brookhaven National Laboratory)
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31
Menopause: It's about Femhealth, not just FemtechSpeaker: Michael Liebman (IPQ Analytics LLC)
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32
Biomimetic Digital Twins and Multiomics: Applications to Rheumatoid Arthritis to Understand the Molecular Mechanisms of DiseasSpeaker: William G. Kearns (Genzeva)
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33
Building and Deploying Digital Twins for Business ValueSpeaker: Adam Rasheed (Amazon Web Services)
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30
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Data Safety, Security, Privacy and Beyond
Needs and techniques to ensure the security and privacy of data in high-stake digital twins.
Convener: Thomas Flynn-
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(Remote) Visualization Techniques for the Tokamak Digital TwinSpeaker: Eliot Feibush (Princeton University)
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35
Safety, Security and Privacy in the Age of Generative AISpeaker: Carlos Soto (Brookhaven National Laboratory)
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36
Data Privacy, Provenance and Context: Challenges and PerspectivesSpeaker: Nabeel Qureshi (OpenHealth)
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34
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14:30
Coffee Break
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The Future of Digital Twins
Potential applications and impact of digital twins, enabling software, hardware, ecosystem and other technological challenges.
Convener: Eric Stahlberg (Frederick National Laboratory for Cancer Research)-
37
(Remote) Multimodal Generative AI for Precision HealthSpeaker: Hoifung Poon (Microsoft)
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38
Enabling Digital Twins Through Common InfrastructureSpeaker: Jeren M. Browning (Idaho National Laboratory)
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39
Digital Twins in Large Scale Scientific InstrumentsSpeaker: Lucy Lin (Brookhaven National Laboratory)
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40
Digital Twin: Open Source Development and DeploymentSpeaker: Anil Srivastava (Open Health Systems Laboratory)
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41
The Evolving Digital Twin - Driving the Next Wave of Digital TransformationSpeaker: Dan Isaacs (Digital Twin Consortium)
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37
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Panel DiscussionConvener: Michael Hadjisavas (p-Chips)
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42
Going Forward: What do we do as a community to facilitate the R&D and applications of digital twins?Speakers: Adam Rasheed (Amazon Web Services), Eric Stahlberg (Frederick National Laboratory for Cancer Research), Florence Hudson (Columbia University), Jun Deng (Yale University)
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42
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Closing
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08:10
