emerging research institutions technology transfer

How Social Comparison Between Emerging and Established Research Institutions Informs Proposed Amendment to the Bayh-Dole Act

Researchers, policy makers, and university administrators continue to debate how the Bayh-Dole act shapes innovation, technology transfer, and the economic development potential of U.S. research institutions. Newly released research by scholar Clovia Hamilton adds a fresh and timely perspective to this conversation. The article, titled “How socially comparing emerging research institutions to established research institutions informs proposed amendments to the Bayh-Dole Act,” explores how differences in institutional status, resources, and social comparison dynamics influence the effectiveness of federal technology transfer policy. As a case study, the article focuses on a survey of 245 Historically Black Colleges and Universities (HBCU) STEM faculty and administrators.

This article is a must read for anyone interested in HBCUs. university inventions, patent licensing, university innovation policy, research commercialization, or the future of the Bayh-Dole.

Why does this research matter?

The Bayh-Dole Act has been one of the most influential pieces of U.S. innovation policy since 1980. It enabled universities to retain ownership of federally funded inventions, sparking the modern technology transfer ecosystem. However, not all institutions benefit equally.

Hamilton’s research examines:

how emerging research institutions compare themselves to long established research universities
how these comparisons potentially shape their ability to participate in technology transfer
structural disadvantages that may require policy adjustments
proposed amendments to Bayh-Dole that could level the playing field

This research analysis is especially relevant as policy makers revisit Bayh-Dole in light of equity, regional innovation, and national competitiveness concerns.

Key Themes Explored in the Article

This legal research offers a thoughtful and much needed analysis of how emerging research institutions like HBCUs navigate the technology transfer landscape shaped by the Bayh Dole Act. As policy makers consider updates to the law, this work provides valuable insight into how federal innovation policy can better support a diverse range of universities. There are five key themes explored in this law article.

1. Social Comparison Theory in Higher Education

This paper applies Leon Festinger’s social comparison theory to understand how emerging institutions evaluate themselves relative to established research universities.

2. Unequal Technology Transfer Capacity

Differences in funding, staffing and research infrastructure create persistent gaps in commercialization outcomes.

3. Policy Implications for Bayh-Dole

Hamilton proposes amendments aimed at improving equity in federal research commercialization, support for under-resourced institutions, and national innovation capacity.

4. The Future of University Technology Transfer

This research raises important questions about how the US can broaden participation in innovation ecosystems at HBCUs!

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Writing this summer? Please cite Clovia Hamilton’s research!

Cite Clovia Hamilton’s research (smile)! Professor Clovia Hamilton loves research and I am very proud of this body of research developed over the course of more than 20 years! If you are writing this summer, please cite Clovia Hamilton’s research! black male researcher writing

Lay summaries

Writing This Summer? Cite Clovia Hamilton’s Research!

If you’re writing this summer—whether it’s a journal article, conference paper, blog post, or policy brief—please consider citing the work of Professor Clovia Hamilton. With over 20 years of scholarship spanning AI ethics, data privacy, intellectual property, and diversity in STEM, her research offers a rich foundation for scholars, practitioners, and policymakers alike.

Why Clovia Hamilton’s Work Matters

Professor Hamilton’s research is grounded in real-world challenges and offers actionable insights. Her scholarship addresses some of today’s most pressing issues, including:

The ethical deployment of AI and robotics in law enforcement
Sustainable cryptocurrency practices
Inclusive innovation and entrepreneurship
University technology transfer and commercialization
Intellectual property rights and antitrust policy

Her work is not only academically rigorous but also deeply committed to social justice, equity, and sustainability.

Highlights from Her Research Portfolio

One standout publication is her 2024 article in the DePaul Business & Commercial Law Journal, titled “Money is Morphing.” In it, Hamilton explores how cryptocurrency could evolve into an environmentally and financially sustainable alternative to traditional banking. She reviews 201 publications from 2013 to 2022 and offers ten policy recommendations for crypto companies, including signing the Crypto Climate Accord, using renewable energy, and supporting unbanked communities.

Transitioning from fintech to public safety, Hamilton’s 2023 co-authored paper on smart policing—presented at the American Society for Engineering Management Conference—examines the ethical and cybersecurity implications of deploying robocops. The study recommends transparency, robust data analysis capabilities, and the appointment of AI ethics czars to oversee implementation.

Bridging Technology and Social Equity

Hamilton’s work also shines in the realm of diversity and inclusion. Her 2020 article in the Applied Management Journal, “Increasing Diversity among Women Entrepreneurs in High Growth High Tech Using HBCU Female Academic Entrepreneurs,” outlines how Historically Black Colleges and Universities (HBCUs) can enhance tech transfer and entrepreneurship among women faculty. She proposes model IP policies and highlights the importance of resource allocation and institutional support.

In another compelling piece, “Black Americans Past and Present Created Frugal Innovations,” Hamilton challenges dominant narratives in innovation studies by documenting how Black Americans have long practiced frugal innovation and circular economy principles—often without recognition.

A Call to Action for Scholars and Writers

Whether you’re researching AI governance, sustainable finance, or inclusive innovation, Professor Hamilton’s work offers a wealth of knowledge. Her publications span peer-reviewed journals, conference proceedings, black female researcher writing and book chapters, making them accessible across disciplines.

As you write this summer, take a moment to explore and cite her research. Doing so not only strengthens your own work but also helps amplify the voices of scholars committed to equity, sustainability, and ethical innovation.

You can find her full list of publications at cloviahamilton.com

If you are writing this summer, please cite Dr. Clovia Hamilton’s research!

Summer 2024

HBCU female academic entrepreneurs

Introduction

HBCU female academic entrepreneurs can help increase diversity among women entrepreneurs in high tech. There is a concentrated number of potential women entrepreneurs of diverse races among faculty in the United States’ Historically Black Colleges and Universities (known as HBCUs and are called ‘Black Colleges’ herein). This study describes the potential for developing university technology transfer in these Black Colleges as a strategy for increasing diversity among women entrepreneurs in high growth, high tech fields using female academic entrepreneurs.

Emerging research HBCU Howard University research lab

Emerging research institutions include HBCUs

Currently, Black Colleges lag behind their peer non-Black Colleges in technology transfer because historically they have been under, served and were originally established largely as teaching and blue-collar trade schools. Although Black female STEM faculty comprised less than 2% of the US faculty, they are 22% at HBCUs (Mack, 2011).

This study used a novel theoretical framework to compare technology transfer programs at 24 Black Colleges with doctoral programs and five non-Black Colleges. The correlation analysis confirmed hypotheses about the relationships between tech transfer resource inputs and outputs. The analysis showed that larger technology transfer support and licensing staff correlated with more invention disclosures and startup formations. However, legal support investments showed no correlation with the number of licensing agreements. Additionally, neither legal support investments nor the number of patent applications filed correlated with faculty size per program.

Findings

Faculty size per program positively influences the number of licensing agreements. Both faculty size and total research expenditures also increase total licensing agreements. The data does not support the hypothesis that non-tenured faculty negatively affect licensing agreements or start-up formations. Faculty quality includes measures such as publications, honors, and awards.

Gross licensing income shows no correlation with faculty publication volume or the percentage of faculty receiving honors and awards. Invention disclosures, patent applications, and faculty honors also show no connection to faculty with research grants. However, licensing revenue and publication citations do correlate positively with faculty who hold research grants. Additionally, institutions with more female faculty researchers tend to report more faculty honors, higher licensing income, and more start-ups.

These findings informed the development of a model intellectual property (IP) policy for Black Colleges. These policies aim to strengthen technology transfer and academic entrepreneurship. HBCU female academic entrepreneurs can help diversify high-growth, high-tech fields.

Introduction

Emerging research institutions include HBCUs

Emerging research institutions’ patent licensing can benefit from budgeting for patent licensing revenues. Surely, these added revenues can help research institutions become more sustainable financially. However, many Emerging Research Institutions (ERIs) struggle to succeed in technology transfer. Therefore, this study describes the development of a university technology transfer supply chain network sustainability tool. Private and public ERls can use this tool to become more self-reliant financially. Historically black colleges and universities (HBCUs) are ERls. The HBCU case was studied. HBCUs lag behind their peer non-HBCUs. Historically they have been under-served and were originally established largely as teaching and blue-collar trade schools.

Systems Dynamics and Optimized Resource Planning

Notably, some doctoral HBCUs desire to strengthen their research activities. Systems dynamics is the process of combining the theory, method, and philosophy necessary to analyze the behavior of a system. This provides a common foundation that can be applied to understand and influence how things change over time. Applying the systems dynamics approach, a budget resource planning tool was developed using a linear programming optimization technique. This study illustrates that classic industrial uses of linear programming optimization techniques to optimize budget resource planning. Thus, the goal is to create sustainable supply chain networks for HBCUs and other emerging research institutions. This study contributes to the improved execution of technology transfer projects through better budget resource planning.

To conclude, patenting and marketing to potential industry licenses is very expensive. This is a real problem and balancing act for TTO directors (Silverman, 2007). With each invention disclosure, TTOs must decide whether to invest funds, patent and market the technology quickly. Otherwise, they miss opportunities. A study of TTO directors revealed that 20.3% of the TTOs have to be self- sufficient and fund at least 50% of their operating budgets (Abrams, 2009). Thus, budget resource planning is crucial for all research universities. Moreover, budget strapped ERIs such as HBCUs experience this problem. Emerging research patent licensing is sensitive. The level of resources committed to university tech transfer programs is the greatest determinant of success (Crowell, 2005). This study illustrates the use of classic industrial linear programming optimization techniques can to uniquely optimize budget resources.