AI Gov: Data

AI Gov: Data

 
AI Gov Data
AI Gov Data
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Virtual Event

Artificial intelligence and data analytics are improving the delivery of government services in agencies dedicated to medical research, health care and national security. They are also helping the workforce make informed and data-driven decisions across missions. With boosts in cloud computing architecture and information processing capacities, federal agencies are getting a handle on ethical and equitable frameworks, data standards and analytical tools necessary for driving the next stages of automation. 

Date
June 16, 2022
Time
11:00 am
Where
Virtual
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AI Gov: Data

Video Replay

In June 2021, the Biden Administration launched the National Artificial Intelligence Research Resource Task Force to develop a roadmap that democratizes access to research tools, promote AI innovation and fuel economic prosperity. Hear from the minds behind this effort on how the task force will expand access to the resources and tools that fuel AI research and development.

  • Manish Parashar, Director, Office of Advanced Cyberinfrastructure, National Science Foundation
  • Lynne Parker, Assistant Director for AI and Director of the National AI…

The COVID-19 pandemic has created opportunities to deploy AI-driven advanced data analytics tools to better understand, mitigate and manage public health challenges. But conceptualizing and integrating ethical AI principles into the development process to promote health equity requires close attention on protecting individual privacy rights, data management and data security. Hear from federal leaders about how they’re promoting health equity and improving access to secure and innovative AI solutions.

  • David Keever, Vice President, Division Chief…

Data visualization is a crucial step in the AI modeling process. It provides the context needed to develop the right models and correctly interpret the results. Federal leaders will dive into how they are advancing data visualization and AI tools to improve decision making, modeling, simulation, analytic capabilities and more.

  • Erika Bauer, Lead Product Designer, Chief Digital and Artificial Intelligence Office for Digital Services, DOD
  • Scott Beliveau, Chief, Enterprise Advanced Analytics, USPTO

Related Coverage

The National AI Research Resource task force is developing a roadmap to expand cyber infrastructure for AI R&D.
AI capabilities and data are providing DOD and USPTO with a clearer vision of what the customer needs in order to provide the best solutions.
Refining and reviewing data models is essential for impactful application of artificial intelligence.

Agenda

 
-

Welcome Remarks

  • Amy Kluber, Editor-in-Chief, GovCIO Media & Research
-

Fireside Chat: AI for Improved Mission Delivery

In June 2021, the Biden Administration launched the National Artificial Intelligence Research Resource Task Force to develop a roadmap that democratizes access to research tools, promote AI innovation and fuel economic prosperity. Hear from the minds behind this effort on how the task force will expand access to the resources and tools that fuel AI research and development.

  • Manish Parashar, Director, Office of Advanced Cyberinfrastructure, National Science Foundation
  • Lynne Parker, Assistant Director for AI and Director of the National AI Initiative Office, Office of Science and Technology Policy, The White House
  • Moderator: Amy Kluber, Editor-in-Chief, GovCIO Media & Research
-

Panel: Developing Secure and Equitable Frameworks for AI

The COVID-19 pandemic has created opportunities to deploy AI-driven advanced data analytics tools to better understand, mitigate and manage public health challenges. But conceptualizing and integrating ethical AI principles into the development process to promote health equity requires close attention on protecting individual privacy rights, data management and data security. Hear from federal leaders about how they’re promoting health equity and improving access to secure and innovative AI solutions.

  • David Keever, Vice President, Division Chief Scientist, Leidos Innovations Center
  • Amanda Purnell, Director of Data and Analytics Innovation, VA
  • Fred Streitz, Senior Advisor, Center for Forecasting and Outbreak Analysis, CDC
  • Moderator: Sarah Sybert, Staff Writer/Researcher, GovCIO Media & Research
-

Panel: Data Visualization to Enhance Modeling & Simulation

Data visualization is a crucial step in the AI modeling process. It provides the context needed to develop the right models and correctly interpret the results. Federal leaders will dive into how they are advancing data visualization and AI tools to improve decision making, modeling, simulation, analytic capabilities and more.

  • Erika Bauer, Lead Product Designer, Chief Digital and Artificial Intelligence Office for Digital Services, DOD
  • Scott Beliveau, Chief, Enterprise Advanced Analytics, USPTO
  • Moderator: Katherine MacPhail, Staff Writer/Researcher, GovCIO Media & Research
-

Closing Remarks

  • Amy Kluber, Editor-in-Chief, GovCIO Media & Research

Featuring

 

Erika Bauer is a Lead Product Designer who covers research and design, and as needed, helps manage product and deliverables. Most recently she worked closely with her development team to incorporate customer feedback, and improve and ship new UX for DDS’s c-UAS program, which she also helped transfer to AFRL Research Lab.

Erika came to Defense Digital Service from Boeing where she was on their creative services team working on a supply chain e-commerce store update and participating in product design with business owners and airline customers. Prior to Boeing, Erika was Sr Designer at Microsoft where she worked on a new music creation app, as well as new avatar UX for Xbox and Mixed Reality. She was also a Lead Designer on Amazon product teams, designing and launching experiences on Amazon Fire products and the Kindle reader.
Erika is interested in improving lives with products and technology, and she joined DDS since it’s a place where she can realize that goal and make a tangible difference.

Lead Product Designer, Chief Digital and Artificial Intelligence Office for Digital Services, DOD

Scott Beliveau currently serves as co-Lead Product Owner of the USPTO’s Enterprise Data and Analytics product, Director of Enterprise Data Architecture and Chief of Enterprise Advanced Analytics in the Office of the Chief Technology Officer (OCTO) at the United States Patent and Trademark Office (USPTO).  Mr. Beliveau began his career at the USPTO in 2002 as an Examiner in the Interactive Video Distribution art area (725).  With an eye towards empowering public innovation and improving USPTO operations, he co-founded the USPTO award winning data efforts delivering a data platform comprising one of the world’s largest collections of open innovation spanning over 200 years.  Mr. Beliveau’s has constructively used USPTO data in a variety of ways including operational use of AI to achieve its mission at a lower cost, development of visualizations that illuminate new insights in cancer treatment, and improvements in customer service through cognitive assistants.  He continues to promote industry partnerships and public innovation to empower entrepreneurs to innovate and grow new opportunities.

Mr. Beliveau received his Bachelor of Science in Electrical Engineering from Brown University and his Masters of Business Administration from the University of Rhode Island.  He lives in Alexandria VA, with his wife Rachel, his son Sam, and his loyal greyhound Fiona.

Chief, Enterprise Advanced Analytics, USPTO

Manish Parashar recently joined The University of Utah as Director and Chair in Computational Science and Engineering at the Scientific Computing and Imaging (SCI) Institute and Professor at the School of Computing.

Manish is currently serving on an IPA to the US National Science Foundation (NSF) since February 2018 where he is the Office Director of the Office of Advanced Cyberinfrastructure (OAC). At NSF he oversees investments in the exploration development, acquisition and provisioning of state-of-the-art national cyberinfrastructure resources, tools, services and expertise essential to the advancement and transformation of all of science and engineering. He is also leading the development of NSF’s strategic vision for a National Cyberinfrastructure Ecosystem for 21st Century Science and Engineering that responds to rapidly changing application and technology landscapes, as well as blueprints for NSF’s key cyberinfrastructure investments over the next decade.

Manish is co-chair, in coordination with the White House Office of Science and Technology Policy (OSTP), of the National Artificial Intelligence Research Resource Task Force, the National Science and Technology Council (NSTC) Subcommittee on the Future Advanced Computing Ecosystem (FACE) and is part of the leadership of the COVID 19 High-Performance Computing Consortium, a unique public-private partnership that brings together government, industry, and academic leaders to provide computing resources in support of COVID-19 research. As Co-Chair of FACE, Manish led the development of the Blueprint for a National Strategic Computing Reserve (NSCR).

Manish served as Assistant Director for Strategic Computing at OSTP until December 2020, where he led strategic planning for the Nation's Future Advanced Computing Ecosystem, and the development of the report "Pioneering the Future Advanced Computing Ecosystem: A Strategic Plan.” He also served as the NSF representative for the US National Strategic Computing activities led by the OSTP, and served as co-chair of the Fast Track Action Committee (FTAC) that developed the report titled National Strategic Computing Update: Pioneering the Future of Computing.

Until December 2020, Manish was Distinguished Professor of Computer Science at Rutgers, The State University of New Jersey University. He was also the founding Director of the Rutgers Discovery Informatics Institute (RDI2) and The Applied Software Systems Laboratory (TASSL), Full Member (Clinical Investigations and Precision Therapeutics Program) of the Rutgers Cancer Institute of New Jersey, and was Associate Director of the Rutgers Center for Information Assurance (RUCIA). Before joining NSF, he led the design, development, deployment, and Operations and Maintenance as Lead PI for Cyberinfrastructure for the NSF Ocean Observatories Initiative. He also co-led the Discovery Science Spoke of the NSF Northeast Big Data Hub. He was Visiting Professor in the Faculty of Business, Computing & Law at University of Derby, UK from 2012 to 2021.

At Rutgers, Manish Parashar co-led (with Prof. H. Berman) the strategic planning efforts in Research Computing and served as the Interim Associate Vice President of Research Computing between 2015 – 2016 to oversee the establishment of the Rutgers Office of Advanced Research Computing (OARC). He acquired funding for and deployed Cloud and Autonomic Computing Center (CAC) NSF IUCRC at Rutgers (CAC@Rutgers) between 2008 and 2013.

Between 2009 -- 2011, Manish served as Program Director in the Office of Cyberinfrastructure (OCI) (now called Office of Advanced Cyberinfrastructure -- OAC) at the National Science Foundation (NSF), where he managed an approximately $150 Million research portfolio in the areas of software sustainability, computational and data-enabled science and engineering and cloud computing. At NSF, he established and led the crosscutting Software Infrastructure for Sustained Innovation (SI2) program, the CI TraCS Computational Science Fellowship programs, co-led the creation of the Computing in the Cloud (CiC) program, and worked on the NSF-wide Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) initiative.

Manish’s academic career has focused on translational computer science with a specific emphasis on computational and data-enabled science and engineering, and has addressed key conceptual, technological and educational challenges. His research is in the broad area of high performance parallel and distributed computing and investigates conceptual models, programming abstractions, and implementation architectures that can enable new insights through very large-scale computations and big data in a range of domains critical to advancing our understanding of important natural, engineered and social systems. His contributions include innovations in data structures and algorithms, programming abstractions and systems, and systems for runtime management and optimization. Furthermore, the development and deployment of systems that encapsulate these research innovations and can be used by scientists and engineers in academia and industry, has been an integral part of his research. His research has had direct and significant impact on a range of domains (for example, subsurface/seismic modeling, plasma physics and fusion, hydrology, compressible turbulence and computational fluid dynamics, bio-/medical informatics, oceanography, numerical relativity/astrophysics, plasma physics, and business intelligence) as evidenced by my publications. He has collaborations with leading national and international research groups at universities, national laboratories, and industry.

Manish has held a visiting position at the eScience Institute at Edinburgh, UK (2009-2010), and a joint research appointment with the Center for Subsurface Modeling, The University of Texas at Austin (1996-2006). He has also been a visiting fellow at the Department of Computer Science and DOE ASCI/ASAP Center, California Institute of Technology (2000-2001), at the DOE ASCI/ASAP FLASH Center, University of Chicago (1998), and at the Max-Plank Institute in Potsdam, Germany (1994-1998).

Manish has received several awards for his research, publications and service. He was elected to IEEE Computer Society’s Golden Core in 2016. He is a Fellow of AAAS, Fellow of ACM and Fellow of IEEE / IEEE Computer Society. He received a 2013 R & D 100 Award (with ORNL and GT), Peter D. Cherasia Faculty Scholar Award from the Rutgers School of Engineering (2014 – 2017), IBM Faculty Awards in 2008 and 2010, the Tewkesbury Fellowship from University of Melbourne, Australia (2006), the Rutgers Board of Trustees Award for Excellence in Research (The Award) (2004-2005), the NSF CAREER Award (1999), TICAM (now ICES) (University of Texas at Austin) Distinguished Fellowship (1999-2001), and the Enrico Fermi Scholarship, Argonne National Laboratory (1996). He also received Outstanding Service Awards from IEEE Computer Society Technical Committee on Parallel Processing (TCPP) in 2009, 2010, 2011, 2017, and 2019, and Outstanding Leadership Awards form the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) in 2008, 2009, 2010, 2011, 2012, and 2013.

Manish is the founding chair of the IEEE Technical Consortium on High-Performance Computing and Editor-in-Chief of the IEEE Transactions on Parallel and Distributed Systems. He serves on the editorial boards and organizing committees of a large number of journals and international conferences and workshops. He has also served as a panelist for NSF, DoE and other national and international funding agencies, and regularly reviews technical articles for journals and conferences. At Rutgers, he serves in leadership roles on various, University, School and Department level committees and is actively involved in curriculum development, especially in applied parallel and distributed computing and computational and data-intensive computing.

Manish has co-authored a large number technical publications including paper in international journals and conferences, invited papers and presentations and book chapters. He has also co-authored/edited books, conference proceedings and journal special issues and has presented large number of keynotes and distinguished seminars. He has developed and deployed several software systems that are widely used, including DataSpaces/DIMES/DART, CometCloud. Manish has graduated 24 Ph.D. and 50 MS students and has mentored over 15 postdoctoral scholars.

Manish received a BE degree in Electronics and Telecommunications from Bombay University, India, and MS and Ph.D. degrees in Computer Engineering from Syracuse University.

Director, Office of Advanced Cyberinfrastructure, National Science Foundation
Assistant Director for AI and Director of the National AI Initiative Office, Office of Science and Technology Policy, The White House
Director of Data and Analytics Innovation, VA
Senior Advisor, Center for Forecasting and Outbreak Analysis, CDC

David Keever is a Leidos Technical Fellow, Chief Engineer, Master Solution Architect, and Senior Program Manager. He develops and leads team-based, advanced technology programs in data analytics, exploring, developing, and harvesting advanced technologies and algorithms to rapidly extract useful solutions from a diverse number of massive, heterogeneous sensors and data sources. These capabilities support programs requiring continuous innovation for various customers in the government, non-profit, RDT&E, and commercial sectors. He possesses in-depth knowledge in designing and creating advanced information technology systems for supporting operations in classified environments involving front-line analysts who rely on deep learning and automated reasoning, detection of nonobvious relationships, and insightful uses of multiple data sources and types, sometimes at large volume. He managed a multi-year, $120M project (D3P) for stream analytics of multi-media data using a modular microservices environment with embedded AI/ML modules for entity extraction, disambiguation, cross-cueing, and petabyte data exploitation. He also supports the CEO’s effort in defining and establishing corporate technical core competencies and business strategies for Leido’s Data Science and Engineering practice.

Early in his career he served as SAIC’s Program Manager for a Presidential Advisory Committee composed of senior executives from government (Energy, Defense, Commerce), universities (Stanford, MIT, RPI), and industry (Intel, Texas Instrument, IBM, Motorola, AMD, and AT&T/Bellcore) tasked with formulating a National Strategy for the $1.4T U.S. semiconductor industry. As a result of this strategy, SEMATECH was formed in Austin Texas as one of the first large-scale public-private R&D partnerships, funded and operating to this day with a $1B annual budget to support advanced-technology semiconductor R&D.

In the 1990s he earned an international reputation as a skilled negotiator/facilitator on sensitive environmental-transportation national projects, having successfully reached a regional, state, and federal consensus-decision on the $2.6B replacement for the Woodrow Wilson Bridge.

He earned his Doctoral degree in the field of Systems Engineering (University of Virginia) and Master’s degrees in Electrical Engineering/Computer Science (GWU) and Aerospace Engineering (Purdue University). He has Executive Education certifications in technology management and strategy from MIT Sloan School and Harvard Business School. He served on the faculty and staff at the University of Virginia and George Mason University, conducting research, teaching, and guiding graduate thesis/dissertation work. He is a Senior member of IEEE and ACM.

He has worked at SAIC and Leidos for more than 32 years and earned one of three CEO Awards in 2015. The D3P project earned the CY2018 Innovation Award, selected first among 141 entries.

Vice President, Division Chief Scientist, Leidos Innovations Center

Agenda

 
-

Welcome Remarks

  • Amy Kluber, Editor-in-Chief, GovCIO Media & Research
-

Fireside Chat: AI for Improved Mission Delivery

In June 2021, the Biden Administration launched the National Artificial Intelligence Research Resource Task Force to develop a roadmap that democratizes access to research tools, promote AI innovation and fuel economic prosperity. Hear from the minds behind this effort on how the task force will expand access to the resources and tools that fuel AI research and development.

  • Manish Parashar, Director, Office of Advanced Cyberinfrastructure, National Science Foundation
  • Lynne Parker, Assistant Director for AI and Director of the National AI Initiative Office, Office of Science and Technology Policy, The White House
  • Moderator: Amy Kluber, Editor-in-Chief, GovCIO Media & Research
-

Panel: Developing Secure and Equitable Frameworks for AI

The COVID-19 pandemic has created opportunities to deploy AI-driven advanced data analytics tools to better understand, mitigate and manage public health challenges. But conceptualizing and integrating ethical AI principles into the development process to promote health equity requires close attention on protecting individual privacy rights, data management and data security. Hear from federal leaders about how they’re promoting health equity and improving access to secure and innovative AI solutions.

  • David Keever, Vice President, Division Chief Scientist, Leidos Innovations Center
  • Amanda Purnell, Director of Data and Analytics Innovation, VA
  • Fred Streitz, Senior Advisor, Center for Forecasting and Outbreak Analysis, CDC
  • Moderator: Sarah Sybert, Staff Writer/Researcher, GovCIO Media & Research
-

Panel: Data Visualization to Enhance Modeling & Simulation

Data visualization is a crucial step in the AI modeling process. It provides the context needed to develop the right models and correctly interpret the results. Federal leaders will dive into how they are advancing data visualization and AI tools to improve decision making, modeling, simulation, analytic capabilities and more.

  • Erika Bauer, Lead Product Designer, Chief Digital and Artificial Intelligence Office for Digital Services, DOD
  • Scott Beliveau, Chief, Enterprise Advanced Analytics, USPTO
  • Moderator: Katherine MacPhail, Staff Writer/Researcher, GovCIO Media & Research
-

Closing Remarks

  • Amy Kluber, Editor-in-Chief, GovCIO Media & Research

Sponsor

 
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