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Publication . Article . 2016

Scientific Collaborations: How do we Measure the Return on Relationships?

Jeanne M. Fair; Martha M. Stokes; Deana Pennington; Ian H. Mendenhall;
Open Access
English
Published: 15 Feb 2016 Journal: Frontiers in Public Health, volume 4 (issn: 2296-2565, Copyright policy )
Publisher: Frontiers Media S.A.
Abstract

Emerging infectious diseases (EIDs), the majority of which are zoonotic, represent a tremendous challenge for public health and biosurveillance infrastructure across the globe. Due to the complexity of zoonotic pathogens, it is essential that research and response to EIDs be a transdisciplinary effort. And while crisis and circumstance may be the initial catalyst for responding to an outbreak, we provide examples of how transdisciplinary scientific collectives, which are organized and solidified in advance of crises, can transform the way the world responds to outbreaks and in some cases could even prevent one from occurring (1). Current methods for assessing whether a cooperative engagement between countries is producing measurable and sustainable value is based on the ideas of return on investment and do not consider the inherent importance of relationships. In this article, we apply the idea of return on relationships (ROR) and propose a method for measuring ROR, using a system dynamics modeling framework commonly used in epidemiology. Tracking the numerous and diverse scientific collaborations that emerged from a training workshop for biosurveillance of bats held in Singapore in 2014, we apply a methodology for visualizing and measuring the relationship networks and outcomes that result. Additionally, the collaborative, multidisciplinary network that coalesced in response to the Hantavirus outbreak in New Mexico is 1993 is discussed as an example of the long-term benefits of ROR.

Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:Public aspects of medicine lcsh:RA1-1270

Microsoft Academic Graph classification: Return on investment Hanta virus Data science System dynamics Multidisciplinary approach Globe medicine.anatomical_structure medicine Biosurveillance Sustainable Value Public health medicine.medical_specialty Computer science

Subjects

system dynamics modelling, Scientific collaboration, MERS, Return on relationships, Hanta virus, Public Health, Hantavirus, systems dynamics, Public Health, Environmental and Occupational Health, Methods

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