New York Scientific Data Summit 2024: Addressing Data Challenges in Digital Twins

Sep 16, 2024, 8:00 AM → Sep 17, 2024, 5:50 PM US/Eastern

SUNY Global Center New York, NY 10022 USA

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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

The timetable below is tentative and subject to change. 

Monday, September 16

8:00 AM → 8:30 AM Continental Breakfast

8:30 AM → 10:00 AM Motivating Applications of Digital Twins and Challenges

From science, engineering to medicine

Convener: Meifeng Lin (Brookhaven National Laboratory)

8:30 AM Opening and Plan of the Day

Speaker: Meifeng Lin (Brookhaven National Laboratory)

8:40 AM Welcome Remarks

9:00 AM Informing Medical Digital Twins: Highlights from the Virtual Human Global Summit

Speaker: Eric Stahlberg (Frederick National Laboratory for Cancer Research)

9:20 AM Multiscale Digital Twins for Precision Modeling and Predictive Cell Survival Outcomes

Speaker: Anuj Kapadia (Oak Ridge National Laboratory)

9:40 AM Digital Twins for Wind Energy and Leading-Edge Erosion Detection

Speaker: Susan Minkoff (Brookhaven National Laboratory)

10:00 AM → 10:30 AM Coffee Break

10:30 AM → 11:30 AM 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 AM FAIR Data Management at the Joint Genome Institute

Speaker: Kjiersten Fagnan (Lawrence Berkeley National Laboratory)

10:50 AM Curating Carbon Storage Data for Reuse: Enabling Research and Modeling from Earth’s Surface to Subsurface

Speaker: Paige Morkner (National Energy Technology Laboratory)

11:10 AM TIPPSS to address data-related challenges in the development & deployment of digital twins

Speaker: Florence Hudson (Columbia University)

11:30 AM → 12:00 PM Panel Discussion

Convener: Eric Stahlberg (Frederick National Laboratory for Cancer Research)

11:30 AM Grand challenges and cross-disciplinary collaborations for digital twins

Speakers: Anuj Kapadia (Oak Ridge National Laboratory), Frank Alexander (Argonne National Laboratory), Jeren M. Browning (Idaho National Laboratory), Meifeng Lin (Brookhaven National Laboratory)

12:00 PM → 1:00 PM Lunch

1:00 PM → 1:30 PM Sponsor Presentations

Convener: Meifeng Lin (Brookhaven National Laboratory)

1:30 PM → 3:10 PM Machine Learning and Data Quality - Part I

Convener: Shinjae Yoo (Brookhaven National Laboratory)

1:30 PM Frontier AI for Science, Security and Technology (FASST)

Speaker: Frank Alexander (Argonne National Laboratory)

1:50 PM On Training Foundation Models on Frontier

Speaker: Sajal Dash (Oak Ridge National Laboratory)

2:10 PM Data aggregation and integration for energy infrastructure modeling

Speaker: Kelly Rose (National Energy Technology Laboratory)

2:30 PM Physics-Informed Machine Learning and Generative AI for Surrogate Modeling in Science and Industry

Speaker: Mike O'Keeffe (NVIDIA)

2:50 PM (Remote) AuroraGPT: Rationale, Data Challenges and Development of an AI Research Assistant

Speaker: Franck Capello (Argonne National Laboratory)

3:10 PM → 3:40 PM Coffee Break

3:40 PM → 5:00 PM Machine Learning and Data Quality - Part II

Convener: Dr Matthew Carbone (Brookhaven National Laboratory)

3:40 PM Responsible AI in the US Banking Industry

Speaker: John Ratzan (Accenture)

4:00 PM Synthetic Teammates: Leveraging Digital Twins to Optimize Human-AI Performance in Critical Missions

Speaker: Svitlana Volkova (Aptima)

4:20 PM Creating trustworthy open data for scientific discovery

Speaker: Grace Peng (NIH)

4:40 PM Operationalizing Biomedical Digital Twins compliant with the National Academies Report: issues regarding machine learning and data quality

Speaker: Gary An (University of Vermont)

5:00 PM → 5:30 PM Panel Discussion

Convener: Meifeng Lin (Brookhaven National Laboratory)

5:00 PM Biomedical Digital Twin Industry Panel

Speakers: Anastasia Christianson (EPAM), Josh Ellis (Intempo Health), Michael Hadjisavas (p-Chips), Nathaniel Bradley (Data Vault)

5:30 PM → 7:30 PM Networking Reception

Tuesday, September 17

8:00 AM → 8:30 AM Continental Breakfast

8:30 AM → 8:40 AM Plan of the Day

8:40 AM → 10:00 AM Validation, Verification and Uncertainty Quantification (VVUQ)

The importance, challenges and techniques for VVUQ in the digital twin setting.

Convener: Mohammad Atif (Brookhaven National Lab)

8:40 AM Fusion Energy Digital Twins - from Experiment to Power Plant

Speaker: Michael Churchill (Princeton Plasma Physics Laboratory)

9:00 AM Recent developments in uncertainty quantification and model validation for complex systems

Speaker: Roger Ghanem (University of Southern California)

9:20 AM Uncertainty in Digital Twins from Imperfect System Information

Speaker: Nathan Urban (Brookhaven National Laboratory)

9:40 AM Navigating uncertainty to build trust in digital twins

Speaker: Anirban Chaudhuri (University of Texas Austin)

10:00 AM → 10:30 AM Coffee Break

10:30 AM → 11:30 AM 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 AM Towards Efficient Neural Representation of Visual Computing Data

Speaker: Qi Sun (New York University)

10:50 AM Towards the creation of digital twins for scientific simulations using visualization surrogates

Speaker: Han-Wei Shen (The Ohio State University)

11:10 AM TBD

Speaker: Barton Fiske (NVIDIA)

11:30 AM → 12:00 PM Panel Discussion

Convener: Nathaniel Bradley (Data Vault)

11:30 AM Digital Twin Impact and Market

Speakers: Barton Fiske (NVIDIA), Michael Churchill (PPPL), Mihir Parikh (Nishith Desai Associates)

12:00 PM → 1:00 PM Lunch

1:00 PM → 1:30 PM Lightning Talks

1:00 PM Voice-Enabled Beamlines at National Synchrotron Light Source II (NSLS-II)

Speaker: Shray Mathur (Brookhaven National Laboratory)

1:07 PM Menopause: It's about Femhealth, not just Femtech

Speaker: Michael Liebman (IPQ Analytics LLC)

1:14 PM Biomimetic Digital Twins and Multiomics: Applications to Rheumatoid Arthritis to Understand the Molecular Mechanisms of Diseas

Speaker: William G. Kearns (Genzeva)

1:21 PM Building and Deploying Digital Twins for Business Value

Speaker: Adam Rasheed (Amazon Web Services)

1:30 PM → 2:50 PM Data Security and Privacy

Needs and techniques to ensure the security and privacy of data in high-stake digital twins.

Convener: Thomas Flynn

1:30 PM Visualization Techniques for the Tokamak Digital Twin

Speaker: Eliot Feibush (Princeton University)

1:50 PM Safety, Security and Privacy in the Age of Generative AI

Speaker: Carlos Soto (Brookhaven National Laboratory)

2:10 PM Data Privacy, Provenance and Context: Challenges and Perspectives

Speaker: Nabeel Qureshi (OpenHealth)

2:30 PM (Remote) TBD

Speaker: Thomas Paterson (EmbodyBio and FulcrumNeuro)

2:50 PM → 3:20 PM Coffee Break

3:20 PM → 5:00 PM 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)

3:20 PM (Remote) Multimodal Generative AI for Precision Health

Speaker: Hoifung Poon (Microsoft)

3:40 PM Enabling Digital Twins Through Common Infrastructure

Speaker: Jeren M. Browning (Idaho National Laboratory)

4:00 PM Digital Twins in Large Scale Scientific Instruments

Speaker: Lucy Lin (Brookhaven National Laboratory)

4:20 PM Open Source Digital Twin for Translational Research and Precision Medicine in Neuro Oncology

Speaker: Anil Srivastava (Open Health Systems Laboratory)

4:40 PM TBD

Speaker: Dan Isaacs (Digital Twin Consortium)

5:00 PM → 5:30 PM Panel Discussion

Convener: Michael Hadjisavas (p-Chips)

5:00 PM 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)

5:30 PM → 5:50 PM Closing