Potomac Institutefor Policy Studies

Research Topic

Science & Technology Policy

Governing the research enterprise.

6 publications

  • STEPS Journal ArticleIssue 11 · July 2025

    Artificial Intelligence · Science & Technology Policy

    Assessing the Risks of AI: Haven’t We Been Here Before?

    Will artificial intelligence (AI) technology empower a magnificent future, or will the risks of AI manifest themselves in a way that threatens human existence? Wall Street and Silicon Valley (i.e., many of whom are “AI boomers”) mostly believe that AI will make us productive, rich, and prosperous in a transition of our future that portends super-charged productivity and applications that eliminate worry and tedium.

    William Regli, PhD

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  • STEPS Journal ArticleIssue 10 · December 2024

    Economic Security · Science & Technology Policy

    Technology Opportunities for National Prosperity

    Advances in science and technology present key moments for economic growth. Technological breakthroughs represent opportunities to make targeted public investments and introduce policies that accelerate time to market and incentivize market uptake, maximizing benefits for the domestic economy.

    Rosalie Loewen, Robert Hummel, PhD

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  • STEPS Journal ArticleIssue 10 · December 2024

    Science & Technology Policy · Economic Security

    The Detrimental US Tax Policy on Research and Development

    The US Tax Code allows businesses and taxpayers to deduct what are called “research and experimentation expenses” from their income before paying taxes, provided those expenses are “qualified,” according to Section 174 of the tax code. In addition, Section 41 permits a tax credit for increases in research and development (R&D) expenditures over a baseline amount, as long as those expenses qualify under Section 174 and satisfy certain other conditions.

    Robert Hummel, PhD

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  • STEPS Journal ArticleIssue 10 · December 2024

    Artificial Intelligence · Science & Technology Policy

    Government Opportunities for AI Technologies

    What a mess! Yet, many believe that AI and its applications, using tools such as large language models (LLMs), are the economic engine for businesses of the future.

    Robert Hummel, PhD

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