New York Scientific Data Summit 2024: Addressing Data Challenges in Digital Twins
SUNY Global Center New York, NY 10022 USA
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 2023 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
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08:15
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08:45
Registration/Continental Breakfast 30m
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08:45
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10:00
Motivating Applications of Digital Twins and Challenges
From science, engineering to medicine
Convener: Meifeng Lin (Brookhaven National Laboratory)-
08:45
Opening and Plan of the Day 10mSpeaker: Meifeng Lin (Brookhaven National Laboratory)
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08:55
Welcome Remarks 5mSpeaker: Nicholas D'Imperio (Brookhaven National Laboratory)
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09:00
Informing Medical Digital Twins: Highlights from the Virtual Human Global Summit 20mSpeaker: Eric Stahlberg (Frederick National Laboratory for Cancer Research)
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09:20
Multiscale Digital Twins for Precision Modeling and Predictive Cell Survival Outcomes 20mSpeaker: Anuj Kapadia (Oak Ridge National Laboratory)
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09:40
Digital Twins for Wind Energy and Leading-Edge Erosion Detection 20mSpeaker: Susan Minkoff (Brookhaven National Laboratory)
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08:45
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10:00
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10:30
Coffee Break 30m
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10:30
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11:30
Data Acquisition and Management
Challenges and techniques in data acquisition and management in the development and deployment of digital twins.
Convener: Kelly Rose (NTEL)-
10:30
FAIR Data Management at the Joint Genome Institute 20mSpeaker: Kjiersten Fagnan (Lawrence Berkeley National Laboratory)
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10:50
Curating Carbon Storage Data for Reuse: Enabling Research and Modeling from Earth’s Surface to Subsurface 20mSpeaker: Paige Morkner (National Energy Technology Laboratory)
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11:10
TIPPSS to address data-related challenges in the development & deployment of digital twins 20mSpeaker: Florence Hudson (Columbia University)
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10:30
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11:30
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12:00
Panel DiscussionConvener: Eric Stahlberg (Frederick National Laboratory for Cancer Research)
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11:30
Grand challenges and cross-disciplinary collaborations for digital twins 30mSpeakers: 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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11:30
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12:00
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13:00
Lunch 1h
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13:00
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13:30
Sponsor PresentationsConvener: Meifeng Lin (Brookhaven National Laboratory)
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13:00
Data Vault Holdings 10mSpeaker: Nathaniel Bradley (Data Vault)
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13:00
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13:30
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15:10
Machine Learning and Data Quality - Part IConvener: Shinjae Yoo (Brookhaven National Laboratory)
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13:30
Frontier AI for Science, Security and Technology (FASST) 20mSpeaker: Frank Alexander (Argonne National Laboratory)
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13:50
On Training Foundation Models on Frontier 20mSpeaker: Sajal Dash (Oak Ridge National Laboratory)
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14:10
Data aggregation and integration for energy infrastructure modeling 20mSpeaker: Kelly Rose (National Energy Technology Laboratory)
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14:30
Physics-Informed Machine Learning and Generative AI for Surrogate Modeling in Science and Industry 20mSpeaker: Mike O'Keeffe (NVIDIA)
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14:50
(Remote) AuroraGPT: Rationale, Data Challenges and Development of an AI Research Assistant 20mSpeaker: Franck Capello (Argonne National Laboratory)
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13:30
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15:10
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15:40
Coffee Break/Group Photo 30m
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15:40
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17:00
Machine Learning and Data Quality - Part IIConvener: Matthew Carbone (Brookhaven National Laboratory)
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15:40
Responsible AI in the US Banking Industry 20mSpeaker: John Ratzan (Accenture)
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16:00
Synthetic Teammates: Leveraging Digital Twins to Optimize Human-AI Performance in Critical Missions 20mSpeaker: Svitlana Volkova (Aptima)
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16:20
Creating trustworthy open data for scientific discovery 20mSpeaker: Grace Peng (NIH)
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16:40
Operationalizing Biomedical Digital Twins compliant with the National Academies Report: issues regarding machine learning and data quality 20mSpeaker: Gary An (University of Vermont)
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15:40
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17:00
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17:30
Panel DiscussionConvener: Meifeng Lin (Brookhaven National Laboratory)
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17:00
Biomedical Digital Twin Industry Panel 30mSpeakers: Anastasia Christianson (EPAM), Josh Ellis (Intempo Health), Michael Hadjisavas (p-Chips), Nathaniel Bradley (Data Vault)
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17:00
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17:30
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19:30
Networking Reception 2h
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08:15
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08:45
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08:10
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08:40
Registration/Continental Breakfast 30m
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08:40
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10:00
Validation, Verification and Uncertainty Quantification (VVUQ)
The importance, challenges and techniques for VVUQ in the digital twin setting.
Convener: Mohammad Atif (Brookhaven National Lab)-
08:40
Fusion Energy Digital Twins - from Experiment to Power Plant 20mSpeaker: Michael Churchill (Princeton Plasma Physics Laboratory)
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09:00
Recent developments in uncertainty quantification and model validation for complex systems 20mSpeaker: Roger Ghanem (University of Southern California)
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09:20
Uncertainty in Digital Twins from Imperfect System Information 20mSpeaker: Nathan Urban (Brookhaven National Laboratory)
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09:40
Navigating uncertainty to build trust in digital twins 20mSpeaker: Anirban Chaudhuri (University of Texas Austin)
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08:40
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10:00
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10:30
Coffee Break 30m
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10:30
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11:30
Data Visualization and Virtual Reality
Visualization and interactive interfaces for human-in-the-loop digital twin operations.
Convener: Wei Xu (Brookhaven National Laboratory)-
10:30
Towards Efficient Neural Representation of Visual Computing Data 20mSpeaker: Qi Sun (New York University)
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10:50
Towards the creation of digital twins for scientific simulations using visualization surrogates 20mSpeaker: Han-Wei Shen (The Ohio State University)
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10:30
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11:30
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12:00
Panel DiscussionConvener: Nathaniel Bradley (Data Vault)
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11:30
Digital Twin Impact and Market 30mSpeakers: Barton Fiske (NVIDIA), Grace Peng (NIH), Michael Churchill (PPPL), Mihir Parikh (Nishith Desai Associates)
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11:30
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12:00
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13:00
Lunch 1h
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13:00
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13:30
Lightning TalksConvener: Mohammad Atif (Brookhaven National Lab)
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13:00
Voice-Enabled Beamlines at National Synchrotron Light Source II (NSLS-II) 7mSpeaker: Shray Mathur (Brookhaven National Laboratory)
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13:07
Menopause: It's about Femhealth, not just Femtech 7mSpeaker: Michael Liebman (IPQ Analytics LLC)
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13:14
Biomimetic Digital Twins and Multiomics: Applications to Rheumatoid Arthritis to Understand the Molecular Mechanisms of Diseas 7mSpeaker: William G. Kearns (Genzeva)
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13:21
Building and Deploying Digital Twins for Business Value 7mSpeaker: Adam Rasheed (Amazon Web Services)
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13:00
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13:30
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14:30
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-
13:30
(Remote) Visualization Techniques for the Tokamak Digital Twin 20mSpeaker: Eliot Feibush (Princeton University)
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13:50
Safety, Security and Privacy in the Age of Generative AI 20mSpeaker: Carlos Soto (Brookhaven National Laboratory)
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14:10
Data Privacy, Provenance and Context: Challenges and Perspectives 20mSpeaker: Nabeel Qureshi (OpenHealth)
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13:30
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14:30
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15:00
Coffee Break 30m
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15:00
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16:40
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)-
15:00
(Remote) Multimodal Generative AI for Precision Health 20mSpeaker: Hoifung Poon (Microsoft)
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15:20
Enabling Digital Twins Through Common Infrastructure 20mSpeaker: Jeren M. Browning (Idaho National Laboratory)
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15:40
Digital Twins in Large Scale Scientific Instruments 20mSpeaker: Lucy Lin (Brookhaven National Laboratory)
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16:00
Digital Twin: Open Source Development and Deployment 20mSpeaker: Anil Srivastava (Open Health Systems Laboratory)
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16:20
The Evolving Digital Twin - Driving the Next Wave of Digital Transformation 20mSpeaker: Dan Isaacs (Digital Twin Consortium)
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15:00
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16:40
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17:10
Panel DiscussionConvener: Michael Hadjisavas (p-Chips)
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16:40
Going Forward: What do we do as a community to facilitate the R&D and applications of digital twins? 30mSpeakers: 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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16:40
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17:10
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17:30
Closing
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08:10
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08:40