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

16 Sept 2024, 08:00 → 17 Sept 2024, 17:50 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

Monday 16 September ¶

08:15 → 08:45 Registration/Continental Breakfast

08:45 → 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¶

Speaker: Meifeng Lin (Brookhaven National Laboratory)

NYSDS 2024 -- Welcome Slide.pptx

08:55 Welcome Remarks¶

Speaker: Nicholas D'Imperio (Brookhaven National Laboratory)

09:00 Informing Medical Digital Twins: Highlights from the Virtual Human Global Summit¶

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

Stahlberg-NYSDS-2024-VHGSOverview-presented.pptx

09:20 Multiscale Digital Twins for Precision Modeling and Predictive Cell Survival Outcomes¶

Speaker: Anuj Kapadia (Oak Ridge National Laboratory)

Kapadia_NYSDS_2024.pdf

09:40 Digital Twins for Wind Energy and Leading-Edge Erosion Detection¶

Speaker: Susan Minkoff (Brookhaven National Laboratory)

Minkoff_NYSDS_talk.pdf

10:00 → 10:30 Coffee Break

10:30 → 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¶

Speaker: Kjiersten Fagnan (Lawrence Berkeley National Laboratory)

Fagnan_NYSDS_Sept_2024.pptx

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

Speaker: Paige Morkner (National Energy Technology Laboratory)

Morkner_Paige.pptx

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

Speaker: Florence Hudson (Columbia University)

Hudson NYSDS digital twins Sept 16 2024.pdf

11:30 → 12:00 Panel Discussion¶

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

11:30 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 → 13:00 Lunch

13:00 → 13:30 Sponsor Presentations¶

Convener: Meifeng Lin (Brookhaven National Laboratory)

13:00 Data Vault Holdings¶

Speaker: Nathaniel Bradley (Data Vault)

Datavault_NathanielBradley_Monday16_1pm copy copy copy.pptx

13:10 Intempo Health¶

Speaker: Josh Ellis (Intempo Health)

IntempoHealth NYDS 2024.pptx

13:30 → 15:10 Machine Learning and Data Quality - Part I¶

Convener: Shinjae Yoo (Brookhaven National Laboratory)

13:30 Frontier AI for Science, Security and Technology (FASST)¶

Speaker: Frank Alexander (Argonne National Laboratory)

13:50 On Training Foundation Models on Frontier¶

Speaker: Sajal Dash (Oak Ridge National Laboratory)

Dash_Sajal.pptx

14:10 Data aggregation and integration for energy infrastructure modeling¶

Speaker: Kelly Rose (National Energy Technology Laboratory)

Rose 2024 9 NYSDS AI RD.pptx

14:30 Physics-Informed Machine Learning and Generative AI for Surrogate Modeling in Science and Industry¶

Speaker: Mike O'Keeffe (NVIDIA)

O'Keeffe - PIML and GenAI for Surrogate Modeling - NYSDS 20240916.pptx.pdf

14:50 (Remote) AuroraGPT: Rationale, Data Challenges and Development of an AI Research Assistant¶

Speaker: Franck Capello (Argonne National Laboratory)

F-Cappello-AuroraGPT-and-Data-Sept-2024-for-Sharing.pptx

15:10 → 15:40 Coffee Break/Group Photo

15:40 → 17:00 Machine Learning and Data Quality - Part II¶

Convener: Matthew Carbone (Brookhaven National Laboratory)

15:40 Responsible AI in the US Banking Industry¶

Speaker: John Ratzan (Accenture)

Ratzan_John 9-16-24.pdf

16:00 Synthetic Teammates: Leveraging Digital Twins to Optimize Human-AI Performance in Critical Missions¶

Speaker: Svitlana Volkova (Aptima)

Svitlana_Volkova_Aptima_Slides.pptx

16:20 Creating trustworthy open data for scientific discovery¶

Speaker: Grace Peng (NIH)

PENG_Grace.pdf

16:40 Operationalizing Biomedical Digital Twins compliant with the National Academies Report: issues regarding machine learning and data quality¶

Speaker: Gary An (University of Vermont)

An_Gary_Talk V2.pptx

17:00 → 17:30 Panel Discussion¶

Convener: Meifeng Lin (Brookhaven National Laboratory)

17:00 Biomedical Digital Twin Industry Panel¶

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

17:30 → 19:30 Networking Reception

Tuesday 17 September ¶

08:10 → 08:40 Registration/Continental Breakfast

08:40 → 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¶

Speaker: Michael Churchill (Princeton Plasma Physics Laboratory)

Churchill_nysds2024.pptx

09:00 Recent developments in uncertainty quantification and model validation for complex systems¶

Speaker: Roger Ghanem (University of Southern California)

ghanem_pres.pptx

09:20 Uncertainty in Digital Twins from Imperfect System Information¶

Speaker: Nathan Urban (Brookhaven National Laboratory)

Urban_NYSDS2024.pdf

09:40 Navigating uncertainty to build trust in digital twins¶

Speaker: Anirban Chaudhuri (University of Texas Austin)

AnirbanChaudhuri_Navigating uncertainty to build trust in digital twins (NYSDS2024).pdf

10:00 → 10:30 Coffee Break

10:30 → 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¶

Speaker: Qi Sun (New York University)

qisun_NYSDS.pptx

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

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

NYSD-Shen.pptx

11:10 Digital Twins for Science¶

Speaker: Barton Fiske (NVIDIA)

BFiske-NVIDIA.pptx

11:30 → 12:00 Panel Discussion¶

Convener: Nathaniel Bradley (Data Vault)

11:30 Digital Twin Impact and Market¶

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

12:00 → 13:00 Lunch

13:00 → 13:30 Lightning Talks¶

Convener: Mohammad Atif (Brookhaven National Lab)

13:00 Voice-Enabled Beamlines at National Synchrotron Light Source II (NSLS-II)¶

Speaker: Shray Mathur (Brookhaven National Laboratory)

ShrayMathur_NYSDS2024.pptx

13:07 Menopause: It's about Femhealth, not just Femtech¶

Speaker: Michael Liebman (IPQ Analytics LLC)

Liebman_Michael.pptx

13:14 Biomimetic Digital Twins and Multiomics: Applications to Rheumatoid Arthritis to Understand the Molecular Mechanisms of Diseas¶

Speaker: William G. Kearns (Genzeva)

Kearns_William.pptx

13:21 Building and Deploying Digital Twins for Business Value¶

Speaker: Adam Rasheed (Amazon Web Services)

Rasheed_Adam.pdf

13:30 → 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¶

Speaker: Eliot Feibush (Princeton University)

Feibush_Eliot.pptx

13:50 Safety, Security and Privacy in the Age of Generative AI¶

Speaker: Carlos Soto (Brookhaven National Laboratory)

Soto_Carlos - Safety, Security and Privacy in the age of Generative AI.pptx

14:10 Data Privacy, Provenance and Context: Challenges and Perspectives¶

Speaker: Nabeel Qureshi (OpenHealth)

Qureshi_Nabeel.pptx

14:30 → 15:00 Coffee Break

15:00 → 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¶

Speaker: Hoifung Poon (Microsoft)

Poon_NYSDS.pdf

15:20 Enabling Digital Twins Through Common Infrastructure¶

Speaker: Jeren M. Browning (Idaho National Laboratory)

Browning_Jeren.pptx

15:40 Digital Twins in Large Scale Scientific Instruments¶

Speaker: Lucy Lin (Brookhaven National Laboratory)

Lin_Lucy.pptx

16:00 Digital Twin: Open Source Development and Deployment¶

Speaker: Anil Srivastava (Open Health Systems Laboratory)

Srivastava, Anil.pptx

16:20 The Evolving Digital Twin - Driving the Next Wave of Digital Transformation¶

Speaker: Dan Isaacs (Digital Twin Consortium)

Isaacs_Dan.pptx

16:40 → 17:10 Panel Discussion¶

Convener: Michael Hadjisavas (p-Chips)

16:40 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)

17:10 → 17:30 Closing¶