An FWCI decomposition of Science Foundation Ireland funding

2026-02-05

AI Summary

This study investigates whether the academic impact of research funded by the Science Foundation Ireland (SFI) Investigator Awards is compromised under a funding mandate that emphasizes socioeconomic relevance. Drawing on 3,243 publications indexed in Scopus, the authors conduct the first systematic decomposition of Field-Weighted Citation Impact (FWCI) distributions, employing log-normal fitting and Monte Carlo simulations to correct for small-sample bias. The findings reveal a mean FWCI of 1.433—significantly exceeding the international benchmark of 1.0—with approximately 67% of projects surpassing the global median, suggesting that socioeconomic orientation and high academic impact can be synergistically achieved. The study also highlights methodological limitations of FWCI under skewed distributions, offering valuable insights for research evaluation practices.

Technology Category

Application Domains: Humanities & Computational Social ScienceCognitive Modeling & Cognitive Systems: Social Cognition And InteractionGame Theory and Economic Paradigms: Fair Division

Application Category

Search and Retrieval-Augmented AI: Web evaluation methodologies and metricsSocial Networks and Social Media: Computational social scienceSecurity and Privacy: Large-scale security measurements

Abstract

In response to the 2008 global financial crisis, Science Foundation Ireland (SFI), now Research Ireland, pivoted to research with potential socioeconomic impact. Given that the latter can encompass higher technology readiness levels, which typically correlates with lower academic impact, it is interesting to understand how academic impact holds up in SFI funded research. Here we decompose SFI \textit{Investigator Awards} - arguably the most academic funding call - into $3,243$ constituent publications and field weighted citation impact (FWCI) values searchable in the SCOPUS database. Given that citation counts are skewed, we highlight the limitation of FWCI as a paper metric, which naively restricts one to comparisons of average FWCI ($\overline{\mathrm{FWCI}}$) in large samples. Neglecting publications with $\textrm{FWCI}<0.1$ ($8.8\%$), SFI funded publications are well approximated by a lognormal distribution with $\mu = -0.0761^{+0.017}_{-0.0039}$ and $ \sigma = 0.933^{+0.011}_{-0.012}$ at $95 \%$ confidence level. This equates to an $\overline{\mathrm{FWCI}} = 1.433^{+0.029}_{-0.015}$ well above $\overline{\mathrm{FWCI}}=1$ internationally. Broken down by award, we correct $\overline{\mathrm{FWCI}}$ for small samples using simulations and find $\sim 67\%$ exceed \textit{median} international academic interest, thus exhibiting a positive correlation between the potential for socioeconomic impact and academic interest.

Problem

• academic impact
• socioeconomic impact
• Field Weighted Citation Impact
• research funding
• citation analysis

Innovation

• FWCI
• lognormal distribution
• citation impact
• small-sample correction
• research evaluation