TechMining for Global Good

The TechMining for Global Good award is intended to recognize steadfast TechMining-enabled efforts to advance decision-making processes and policy options on typically under-resourced issues of global importance. TechMining, short for “text-mining of science & technology information resources,” is a special form of “Big Data” analytics.  Using bibliometric and text-mining software (e.g., VantagePoint, TDA) as well as other analytical & visualization applications, TechMining analyses of Science, Technology & Innovation (ST&I) information resources result in actionable intelligence for technology management and/or policy development.  



Carlos M. Morel, Director of the Center for Technological Development in Health (CDTS) and Senior Researcher, Oswaldo Cruz Foundation (FIOCRUZ), is the 2018 recipient of the TechMining for Global Good award.

Carlos 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)


Ronald N. Kostoff, Research Associate, Georgia Institute of Technology, was the 2017 recipient of the TechMining for Global Good award. 

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 literature, and has been applied to technical and medical literatures.  Ron's recent efforts have focused on developing protocols to prevent and reverse chronic diseases, including identifying and eliminating the causes of these diseases, as well as identifying and recommending potential treatments." Examples of Ron’s work include:

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)


Paul Oldham of One World Analytics was the 2016 recipient of the award. 

One World Analytics TechMining research has strived to inform national technology management processes with innovative options for national and global stakeholder interactions, value chain system development, and communication processes. 
Example of their work includes:

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.