At our collaborative workshop held on September 8, 2017, Emerging Technology and Open Data for a More Open Government over 90 participants from government, industry, civil society, and academia came together and crafted potential goals to be integrated into the fourth U.S. National Action Plan for Open Government.
These draft use cases represent initial ideas and moonshots as well as programs in development, and should be considered only proposed use cases and concepts unless otherwise noted. Anyone is encouraged to contribute their own use case at any state of development.
| Workshop Participants | |
|---|---|
| Adarsa Services | National Aeronautics and Science Administration |
| Atlas Research | National Capital Planning Commission |
| Global Blockchain Business Council | National Defense University |
| Booz Allen | National Science Foundation |
| BRMi | Organic Crop Improvement Association |
| Center for Data Innovation | Office of Personal Management |
| Center for Open Data Enterprise | Office of Management and Budget |
| Center for Disease Control and Prevention | Oracle |
| Chamber of Digital Commerce | Prometheus Computing |
| Data Coalition | R Street Institute |
| Data.gov | Science Applications International Corporation |
| Dcode42 | Small Business Administration |
| Department of Justice | Senate Judiciary Committee |
| Department of State | SensisChallenges |
| Department of Homeland Security | Sunlight Foundation |
| Elliptic | OpenGov Foundation |
| Federal Acquisition Service | The World Bank |
| Federal Energy Regulatory Commission | U.S. Digital Service |
| Fintech4good | Unified Shared Services Management |
| General Services Administration | U.S. Data Cabinet |
| IBM | USDA Forest Service |
| Millenium Challenge Corporation | White House |
| National Archives and Records Administration | Zilla LLC |
Source: Initial concepts submitted during registration process
- Augment and improve our customer service for people struggling to find resources about low income housing and programs in their states.
- Integrate earthquake data into the AI ecosystem and capture citizen feedback to help improve the study of earthquakes.
- Explore the use of APIs, data lakes, cloud-based analytics to harvest research and administrative data, power national scientific mission systems with data visualization, machine learning, text mining and artificial intelligence to automatically suggest reviewers for panels, identify conflict of interests, research portfolio analysis and the automation of proposal processing.
- Create an intelligent tool to assist the federal contracting community with the Federal Acquisition Regulation.
- Develop virtual assistants.
- Establish open data requires to improve the use of AI in the justice system.
- Apply AI analysis to the National Archives Catalog.
- Improve Contact Center smart automation.
- Agency reform plans are expected to be responsive to the call for “shared services” in the M-17-22 and the Cyber EO. We’d like to make sure we understand and help shape how these current and future services can leverage this type of emerging technology so that all agencies can benefit.
- Apply AI analysis to verification of tax returns.
- Establishing data performance objectives and metrics for federal AI initiatives.
- Leverage Smart Automation in every aspect of development and infrastructure. Building systems with Anti-fragility can be daunting and learning new techniques helps to expedite the process.
- Developing smart automated business tools, mentorship, and open data resources.
- Enable Artificial Intelligence and Smart Automation to help government workers improve, streamline and deconflict laws, requirements, and regulations.
- Learn how to best procure these technologies so we can teach acquisition professionals.
- Assess the development of AI policy proposals and learn from experts in each focus area.
- Ensure AI and smart automation technologies are effectively and safely applied by government agencies to mission critical needs.
- Develop AI for feature detection and prediction in harmful algal blooms and other items.
- Conducting, coordinating, and sponsoring AI research to support and improve regulation of Financial entities and markets, and reduce the financial regulatory reporting burden.
- Leverage AI to fill gaps of understaffed infrastructure components.
- Create a single, trusted bot architecture for the federal government which creates a personal assistant for citizens to interact with, no mater the question, action, agency domain, or complexity of request.
- Develop shareable, reuseable AI pilot programs for each maturity model, then share results and impacts (cost savings, alignment with strategic priorities, etc.) to develop body of knowledge.
Source: Concepts developed by teams during the workshop
- Apprenticeship For American Innovation: Use growth in AI, IOT, and Smart Cities as an apparatus to make transparent solutions for two administration goals: apprenticeships that create job ready skills, and infrastructure development for job creation & security. Key objectives include: use of analytics to develop smart city workforce requirements and use of existing datasets & machine learning to baseline smart city infrastructure.
- OpenAI.Gov: An Open AI framework / repository / standards to support architecture for chatbots and citizen services. Key objectives include: AI collaboration / asset sharing; central entry point for federated AI services to assist citizens with contextually relevant answers. Measureable metrics include: Citizens interacting with openai.gov; responses marked “useful” appropriate; federal services connected; AI projects shared and used by others; productivity and savings due to tech / information sharing (e.g. costs, time, etc.)
- Making AI in the Justice System Open and Accountable: promoting the use and development of open data and open source software for risk-assessment and case management in the criminal justice system. Key objectives include: mandating that any risk-assessment software used on the federal level has open source code, training data, and machine learning technique; creating taskforce to study, report, and encourage nation-wide adoption of open source risk-assessment and case management tools. Measureable metrics include: Taskforce creation; decrease in federal jail population; increase state uptake of open source tools, reduction in state jail and prison populations, decrease recidivism rate, taxpayers savings, and lower crime rate.
- Federal Skill Finder Service (FSFS): Transparently matching biggest needs with best skills. Key objectives include: Quicker and more effective matching of the federal workforce and applicants to opportunities and needs; provide transparency to those seeking opportunities. Measureable metrics include: Reduced time-to-hire; improved EVS scores; improved ability to mobilize resources and respond to a crisis.
- Smarter Marketplace: An easier way to do business with government. Key objectives include: Market concierge to identify the right acquisition vehicle for you; match you with similar buyers / sellers and make the whole process easier. Measureable metrics include: Decreases in procurement cycle for less money and overhead to buy and sell; standardizes risk from contracting officer (CO) perspective; increases transparency in procurement process.