Geodiversity of Research: A Comparison of Geographical Topic Focus and Author Location using SDG 2: Zero Hunger as a Case Study
Philip James Purnell

TL;DR
This paper analyzes the geographic diversity of hunger research, revealing disparities between affected countries and author locations, and discusses factors influencing these patterns.
Contribution
It introduces a large-scale analysis of hunger research geodiversity using machine learning and examines the influence of infrastructure and authorship on research focus.
Findings
Only 41% of hunger papers from affected countries have local authors.
Fewer locally based authors are in first or last author positions.
Research infrastructure and authorship recognition impact geographic research patterns.
Abstract
This study examined the geodiversity of research through comparing topic focus with author location using SDG 2: Zero hunger as a case study. As the research was related to hunger, papers were mapped on to the Global Hunger Index country categories as convenient classification. The publication dataset comprised 60,000 papers from the Dimensions database that have been associated with hunger research using Digital Science machine learning algorithm that enhances expert led search strategies. Only 41% hunger-related publications that focus on countries most affected by hunger feature authors affiliated to institutions in those countries. Even fewer of those publications feature locally based authors in first or last position. These numbers gradually reverse as the level of hunger declines. We analyse sample papers in an attempt to understand the reasons for these trends. These included…
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Taxonomy
TopicsExpert finding and Q&A systems · scientometrics and bibliometrics research · Geochemistry and Geologic Mapping
