Researcher Population Pyramids: Tracking Demographic and Gender Trajectories Across Countries

TL;DR

This paper introduces a framework using publication data to track and predict demographic and gender dynamics in global research communities, aiding policy development for sustainable academic ecosystems.

Contribution

It presents a novel researcher population pyramid framework for analyzing and projecting demographic and gender trajectories across countries.

Findings

Emerging systems have high researcher inflows and widening gender gaps.

Mature systems show modest inflows and narrowing gender gaps.

Future scenarios suggest some countries may resemble more rigid systems by 2050.

Abstract

The sustainability of the academic ecosystem relies on researcher demographics and gender balance, yet assessing these dynamics in a timely manner for policy is challenging. Here, we propose a researcher population pyramid framework for tracking demographic and gender trajectories across countries using publication data. We provide a timely snapshot of historical and present demographics and gender balance across 58 countries, revealing three contrasting patterns among research systems: Emerging systems (e.g., Arab countries) exhibit high researcher inflows with widening gender gaps in cumulative productivity; Mature systems (e.g., the United States) show modest inflows with narrowing gender gaps; and Rigid systems (e.g., Japan) lag in both. Furthermore, by simulating future scenarios, the framework makes potential trajectories visible. If 2023 demographic patterns persist, Arab countries' systems could resemble mature or even rigid ones by 2050. Our framework provides a robust diagnostic tool for policymakers worldwide to foster sustainable talent pipelines and gender equality in academia.