Research Trends i in NSF and JST-NS NSF Collaboration O - PowerPoint PPT Presentation

Research Trends i in NSF and JST-NS NSF Collaboration O Opportunities A View from the Directorate for Computer and Information Sciences and Engineering (CISE) at the US National Science Foundation (NSF) Dr. David Corman CISE / CNS 2 nd JST-NSF International Joint Symposium on Big Data, AI, CPS, and SCC for a New Society 1

CISE programs address national priorities Image Credit: ThinkStock Image Credit: CCC and SIGACT CATCS Image Credit: Eliza Grinnell/Harvard SEAS Image Credit: ThinkStock Robotics & Understanding the Big Data & AI Cybersecurity Manufacturing Brain Image Credit: Texas Advanced Computing Center Image Credit: WINLAB, Rutgers University Image Credit: US Ignite Image Credit: Calvin Lin, University of Texas, Austin Cyber Physical Smart Computer Science Advanced Wireless Advanced Systems Communities Education Research Cyberinfrastructure “To promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense...” 2

NSF Big Ideas RESEARCH IDEAS Windows on the Quantum Work at the Universe: Leap: Human- Multi-messenger Leading the Technology Astrophysics Next Frontier: Quantum Shaping the “ … bold questions that will Revolution Future Harnessing drive NSF's long-term research Data for 21 st Understanding Century Navigating agenda -- questions that will the Rules of Science and the Life: Engineering New Arctic ensure future generations Predicting Phenotype continue to reap the benefits of PROCESS IDEAS fundamental S&E research. ” Mid-scale Research NSF 2026 Infrastructure Growing NSF INCLUDES: Convergence Enhancing STEM Research at NSF through Diversity and Inclusion 3

Harnessi Ha ssing t g the D Data R Revolution on ( (HD HDR) Enabling 21 st -century science, engineering, and education to move toward effective use of digital data to advance discovery • Fundamental research in data-centric Research across all NSF Directorates mathematics, statistics and computational, and computer science Systems • Fundamental research on data-centric Theoretical foundations foundations mathematics, statistics, algorithms and systems computer & computational data-centric algorithms, science systems • Data-driven research in all NSF research domains Data-intensive research • Data-centric, science-driven, research in all areas of science and engineering cyberinfrastructure (CI) ecosystem • Creation and nurturing of a 21st-century data-capable workforce Includes CISE investments in the following programs: BIGDATA, DIBBs, TRIPODS 4

Harnessing the Data Revolution (HDR) TRIPODS: BIGDATA: Critical Techniques, DIBBs: Data Infrastructure Transdisciplinary Technologies and Building Blocks  Robust, shared data-centric Research in Principles of Methodologies for Advancing cyberinfrastructure capabilities Data Science Foundations and Applications of  accelerating interdisciplinary  Bringing together Big Data Sciences and research in areas stimulated by statistics, mathematics, Engineering data theoretical computer  Foundations: fundamental  CISE (OAC) and other science communities to techniques, theories, directorates develop theoretical methodologies, technologies foundations of data  Innovative Applications: application- science through driven novel techniques, integrated research, methodologies, technologies training activities  CISE, BIO, EHR, ENG, GEO, MPS, SBE  CISE, MPS  AWS, Google Cloud, Microsoft Azure Theory Systems & applications Cyberinfrastructure 5

Work at the Human-Technology Frontier: Shaping the Future A bold initiative to catalyze interdisciplinary science and engineering research to…  understand and build the human- technology partnership;  design new technologies to augment human performance;  illuminate the emerging socio- technological landscape; and  foster lifelong and pervasive learning with technology 6

The Human-Technology Frontier Cyber Physical Systems (CPS): NRI-2.0: Ubiquitous Collaborative Deeply integrating computation, Robots: Developing the next generation communication, and control into physical of collaborative robots to enhance personal systems safety, health, and productivity  develop core system science for complex cyber-  accelerate development and use of collaborative physical systems in multiple application areas robots  CISE, ENG  CISE, EHR, ENG, SBE  DHS, DOT, NASA, NIH, USDA  DOD, DOE, USDA Transportation Energy and Industrial Automation Healthcare and Biomedical Critical Infrastructure 7

The Human-Technology Frontier Smart and Connected Cyberlearning and Smart & Connected Health (SCH): transforming Future Learning Communities (S&CC): healthcare knowledge, Technologies: improving quality of life for all delivery, and quality of life  interdisciplinary, integrative expanding and through IT research to improve understanding, transforming learning and  safe, effective, efficient, design, sustainability of intelligent educational opportunities patient-centered, infrastructure and outcomes for learners  engaging local residents, proactive, predictive health and workers of all ages stakeholders, government across and wellness technologies  technologies to enable rural, coastal, urban, border  CISE, ENG, SBE lifelong learning, including communities  Joint with NIH adult re-training  CISE, EHR, ENG, SBE  CISE, EHR, ENG, SBE 8

Work ork a at Human an T Technology F y Fron ontier r – Work orkshops a and Resear arch C Coor ordination on N Net etwor orks Understand and build the Design and develop new Illuminate the emerging Foster lifelong and human-technology technologies to augment socio-technological pervasive learning partnership human performance landscape through technology Making "The Future of RCN: Enhancing small and Future Workforce Convergence Research Work" Work: A Convergence mid-level farm viability Implications of about Multimodal Workshop on Experiments in through a systems-based Autonomous Trucks: Human Learning Data Tech Work-Maker Culture, research network: Linking Workshop on the during Human Machine Co-working, Cooperatives, technology and Sociotechnical Research Interactions Entrepreneurship & Digital sustainable development Challenges, Benefits, and Labor and practice Opportunities From Making to Micro- A Workshop Shaping RCN: Converge Research Converging Human and Manufacture: Reimagining Research on Human- on the Socio Technological Work Beyond Mass Technology Partnerships Technological Landscape Perspectives in Production to Enhance STEM of Work in the Age of Crowdsourcing Workforce Engagement Increased Automation Research 9

Artificial Intelligence Transformative science that holds promise for tremendous societal and economic benefit with potential to revolutionize how we discover, work, learn, and communicate • CISE core research programs: Human-AI  Cyber-human Systems Autonomy interaction  Robust Intelligence • Cross-directorate programs: AI Infrastructure  BIGDATA  NRI-2.0: Ubiquitous Collaborative Robots  Cyber Physical Systems Modeling  Smart & Connected Communities  Smart and Connected Health Machine Learning  Collaborative Research in Computational Massive Data Management Neuroscience Sensing / Data Acquisition • CISE Expeditions in Computing • AI+X: ML as a new horizontal 10

Future A AI Research a and Development S Strategies AI advances possible through: the availability of big data which provided raw material for dramatically improved machine learning approaches and algorithms; which in turn relied on the capabilities of more powerful computers 1. Make long-term investments in AI research 2. Develop effective methods for human-AI collaboration 3. Understand and address the ethical, legal, and societal implications of AI Recommendation 1: Develop an AI R&D implementation framework 4. Ensure the safety and security of AI systems 5. Develop shared public datasets and environments for AI training and Recommendation 2: Study the testing national landscape for creating and 6. Measure and evaluate AI technologies through standards and sustaining a healthy AI R&D benchmarks workforce 7. Better understand the national AI R&D workforce needs 11

A A Vision for Research C Cyberinfr frastr tructu ture Architecting an open national data infrastructure Understanding Increasing interdisciplinary sharing Facilities Smart and Connected Water, Energy, Food, Applications: Gateways Communities INFEWS the Brain Governance, policy, sustainability Non-technical but critical issues Increasing disciplinary emphasis New Data Services: Discovery, Access, Deep Analytics, Semantics Services Core services, e.g. authentication, distributed storage, … Storage and Compute Infrastructure Campus Regional Commercial National International National/International Research and Education Network … … … … … Privacy-preserving data sharing: major challenge Enabling and accelerating science drivers, including NSF initiatives & facilities 12