2019 – Thomas S. Woodson, Department of Technology and Society, Stony Brook University

Thomas investigates the effects of technology on inequality throughout the world and the causes/consequences of inclusive innovation. For the past 3 years he has focused on the relationship between innovation and inequality in 4 areas: nanotechnology, 3D printing, science funding and engineering education. Prior to joining Stony Brook University, Dr. Woodson was a part of a multi-year National Science Foundation sponsored research center applying technology assessment techniques to analyze the societal impacts of nanotechnology. While on the project, Dr. Woodson and his colleagues examined the consequences of nanotechnology on inequality using a variety of methods including interviews, case studies, site visits, input/output analyses and bibliometrics analyses. Examples of his tech-mining work include:
- The role of emerging technologies in inclusive innovation: the case of nanotechnology in South Africa (2018)
- Public private partnerships and emerging technologies: A look at nanomedicine for diseases of poverty (2016)
- Inequalities in scholarly knowledge: Public value failures and their impact on global science (2016)
- Nanotechnology companies in the United States: A web-based content analysis of companies and products for poverty alleviation, (2015)
- Nanotechnology and the Millennium Development Goals: Water, Energy, Agri-food, (2013)
2018 – Dr. Carlos M. Morel, CDTS and FIOCRUZ

Dr. Morel has actively participated in creation of various worldwide programs to promote research and development in neglected diseases, employing robust empirical approaches to inform strategic planning and policy development. Examples of his work include:
Revisiting the Concept of Innovative Developing Countries (IDCs) For Its Relevance to Health Innovation and Neglected Tropical Diseases and For the Prevention and Control of Epidemics (2018)
Enabling Policy Planning and Innovation Management Through Patent Information and Co-Authorship Network Analyses: A Study of Tuberculosis in Brazil (2012)
Co-Authorship Network Analysis: A Powerful Tool for Strategic Planning of Research, Development and Capacity Building Programs on Neglected Diseases (2009)
Health Innovation Networks to Help Developing Countries Address Neglected Diseases (2005)
2017 – Ronald N. Kostoff, Research Associate, Georgia Institute of Technology

Ron has worked tirelessly to advance Literature-Related Discovery and Innovation (LRDI) text-mining processes. The LRDI methodology is applicable to all disciplines contained in the published research
Prevention and Reversal of Alzheimer’s Disease (2017)
Pervasive Causes of Disease (2015)
Literature-related discovery and innovation: Chronic kidney disease (2015)
Literature-related discovery: common factors for Parkinson’s Disease and Crohn’s Disease (2014)
2016 – Paul Oldham of One World Analytics

One World Analytics TechMining research has strives to inform national technology management processes with innovative options for national and global stakeholder interactions, value chain system development, and communication processes.
Examples of their work include:
“Valuing the Deep: Marine Genetic Resources in Areas Beyond National Jurisdiction,” a patent profile highlighting where corporate interests are exploiting marine genetic resources beyond national jurisdictions.
“A Review of UK Patent Activity for Genetic Resources and associated Traditional Knowledge” which aims to improve the equity and efficiency of bioprospecting process by matching sources of traditional knowledge with the bioscience innovation chain.