Former Senior Policy Analyst
ITIF’s Center for Data Innovation
Joshua New was a policy analyst at ITIF's Center for Data Innovation. He has a background in government affairs, policy, and communication. New graduated from American University with degrees in C.L.E.G. (communication, legal institutions, economics, and government) and public communication. His research focuses on methods of promoting innovative and emerging technologies as a means of improving the economy and quality of life.
How Data Can Help in the Fight Against the Opioid Epidemic in the United States
The maxim “you can’t manage what you can’t measure” has never been so relevant. The failure to effectively leverage data has undoubtedly cost many lives and caused severe social and economic damage to communities ravaged by opioid addiction.
A Policymaker’s Guide to the “Techlash”—What It Is and Why It’s a Threat to Growth and Progress
Growing animus toward “Big Tech” companies and generalized opposition to technological innovation engenders support for policies that are expressly designed to inhibit it. That is deeply problematic for future progress, prosperity, and competitiveness.
The Promise of Data-Driven Drug Development
Policymakers should recognize that the potential of data-driven drug development is crucial to the well-being of Americans as well as U.S. competitiveness, and develop policies to accelerate this transformation.
Comments to OMB on Federal Data and Models for AI R&D
The Center for Data Innovation filed comments in response to a request for information from the Office of Management and Budget on identifying priority access or quality improvements for federal data and models for artificial intelligence (AI) research and development (R&D) and testing.
Comments to the U.S. Consumer Product Safety Commission on the Internet of Things and Consumer Product Hazards
CPSC should pay more attention to some of the unique cybersecurity risks that exist with IoT devices, but it should not pursue any prescriptive regulations for device security.
Response to Singapore’s Public Consultation on Proposed Data Portability and Data Innovation Provisions
Comments to NIST on AI Standards
Robust technical standards for AI will be crucial to the success of the technology in the United States and abroad because they can serve as authoritative guidelines and benchmarks for the development and evaluation of AI. But concerns about the oversight of AI have stymied productive discussions about standards development by causing policymakers to prioritize oversight at the expense of technical understanding.
The US is Finally Moving Towards an AI Strategy
In an op-ed for The Hill, Daniel Castro and Joshua New write that the administration’s executive order launching the “American AI Initiative” is a welcome step towards boosting U.S. competitiveness in AI, but it does not go far enough.
Comments to the FTC on Algorithms, AI, and Predictive Analytics
Regulators can provide effective oversight of automated systems so as to both protect consumers and allow innovation to flourish.
Why the United States Needs a National Artificial Intelligence Strategy and What It Should Look Like
The United States is the global leader in developing and using artificial intelligence (AI), but it may not be for long. Succeeding in AI requires more than just having leading companies make investments. It requires a healthy ecosystem of AI companies, robust AI inputs—including skills, research, and data—and organizations that are motivated and free to use AI.
Comments to NITRD on Updates to the 2016 National AI R&D Strategic Plan
NITRD’s National AI R&D Strategic Plan is a valuable opportunity to help the United States maintain its competitive edge in the absence of a broader national AI strategy.
Comments to the Federal Trade Commission on Competition and Consumer Protection in the 21st Century
Unfortunately, as the economy has become more innovation-based, there has been considerably less focus on how regulatory agencies can both protect consumers from harm and avoid undermining incentives for innovation.
Recent Events and Presentations
Accelerating Data-Driven Drug Development
ITIF's Center for Data Innovation released a new report exploring opportunities to accelerate data-driven innovation in drug development and hosted a panel discussion about the ways data can make drug development faster, more efficient, and lead to new cures.
What’s Next in Standards Setting for AI?
Artificial Intelligence is the proverbial Wild West, at least that's what concerns many skeptics. Please join ITIF's Center for Data Innovation in partnership with NIST for a conversation about the state of play in developing standards and oversight of AI systems, the need for proper governance of AI in key industries like health care and transportation, and the role that policymakers can play in advancing these efforts.
What’s Next for Open Data in the United States?
President Trump signed the OPEN Government Data Act (H.R. 4174) on January 14, 2019. The law is a major milestone for open data. Now that the law has been enacted, what should Congress and the administration do next to ensure the benefits of open data are fully realized?
Why It’s Time for the United States to Develop a National AI Strategy
While many nations have developed national strategies to support the development and adoption of AI, the United States has not. Join ITIF's Center for Data Innovation for the release of a new report laying out a detailed national AI strategy and a panel discussion about the ways in which policymakers can make the United States more competitive in the global AI race.
How Countries Are Preparing for the Global AI Race
ITIF's Center for Data Innovation for a discussed the various strategies countries are using to promote the development and adoption of AI.
Accountability in the Algorithmic Economy
Join the Center for Data Innovation for a presentation of its new report and a panel discussion on how policymakers can hold algorithms accountable while accelerating adoption of AI.
How Data Can Help Fix K-12 Education in the United States
Join ITIF's Center for Data Innovation for a discussion on a forthcoming report examining how the United States can build a data-driven education system, the benefits of a data-driven approach, and how to overcome the considerable challenges these innovations face.
How Data Can Help in the Fight Against Sexual Assault
Join ITIF's Center for Data Innovation and Rise, a civil rights nonprofit leading federal and state state efforts to implement legislation to protect the rights of sexual assault survivors, for a panel discussion on how policymakers and law enforcement can develop data-driven policies and practices to help in the fight against sexual assault and improve the lives of survivors.
What Happens When Laws Become Open Data?
Join ITIF's Center for Data Innovation for a panel discussion exploring the impact of open legislative data on the public and private sectors and identifying opportunities for both federal and state governments to better provide this data to unlock social and economic benefits.
Securing the Future of Open Data in the United States: Introducing the OPEN Government Data Act
Join ITIF's Center for Data Innovation and the Data Coalition for a panel discussion about the future of open government data in the United States.