Joshua New

Joshua New

Former Senior Policy Analyst

ITIF’s Center for Data Innovation

Phone:

202-524-5547

Twitter

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.

Research Areas:

Recent Publications

November 18, 2019

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.

October 28, 2019

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.

September 18, 2019

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.

February 25, 2019

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.

December 4, 2018

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.

August 1, 2018

Why the U.S. Could Fall Behind in the Global AI Race

In commentary for Fortune Magazine, Joshua New calls on policymakers to adopt a national strategy to promote artificial intelligence based on the principle of algorithmic accountability.

July 26, 2018

How (and How Not) to Fix AI

In an opinion piece for TechCrunch, Joshua New writes that algorithmic accountability offers a path toward ensuring organizations use AI responsibly so that it can truly be a boon to society.

May 21, 2018

How Policymakers Can Foster Algorithmic Accountability

Instead of overregulating, governments should adopt a policy framework based on the principle of “algorithmic accountability” to promote innovation while holding human operators responsible for harmful outcomes.

April 18, 2018

The Backlash Against Sharing Social Media Data Is Bad for Science

As the Center for Data Innovation’s Joshua New writes for Morning Consult, mostly lost in the din of Facebook CEO Mark Zuckerberg’s congressional testimonies was any consideration for the fact that Facebook data serves the broader public interest by providing a valuable resource for scientific research.

April 3, 2018

Government Use of IoT Needs to Catch Up with the Technology

The federal government can make key reforms that could better leverage the Internet of Things, ITIF’s Josh New writes for FedTech.

January 10, 2018

Sorry, Data Is Not the New Oil

Policymakers should take an interest in understanding how data is transforming the economy, but looking to oil as a historical example is not productive writes Josh New in the Innovation Files. Data and oil have fundamentally different economic factors, and misapplying the analogy could undercut our ability to use data for the benefit of all.

October 30, 2017

How National Governments Can Help Smart Cities Succeed

While local governments can and should manage much of the evolution to “smart cities,” national governments have an important role to play as well in accelerating and coordinating their development. Indeed, the long-term success of smart cities will likely depend on whether national governments support their development.

Recent Events and Presentations

September 18, 2019

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.

May 30, 2019

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.

February 7, 2019

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?

December 4, 2018

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.

July 25, 2018

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.

May 22, 2018

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.

November 15, 2016

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.

October 6, 2016

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.

May 24, 2016

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.

April 14, 2016

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.

February 12, 2016

Cloud Computing, Data Analytics, and Open Science: A New Paradigm for Discovery

In fields ranging from genomics to quantum physics, researchers are increasingly using data-intensive computing to generate new insights and discoveries.

January 21, 2016

How Germany and the United States Are Racing to Build the Factory of the Future with the Internet of Things

From sensor-laden assembly lines that reduce downtime and improve quality control to factory floors networked to automatically respond to environmental conditions in real time, the Internet of Thin