Work

CoARA Boost CF1 - Re-Ass - Towards a Gen-AI Assisted Model for CoARA-Aligned Researcher Assessment

Year: 2025

Type: article

Abstract: The Gen-AI Assisted Model was designed to support and scale the qualitative evaluation of narrative CVs. It uses the Gen AI Researcher Assessment Rubric aligned with the European Career Stage Framework (R1–R4), and recognises contributions that extend beyond formal career-stage classifications. Designed to complement peer judgement rather than replace it, the system offers multi-level information (researcher, team, and institutional) and yielded substantial agreement with human assessors (>80% overall).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18036534

Authors: Mulero, Adrià, Garcia-Morante, Marina, Castello, Montserrat

Institution: Universitat Ramon Llull

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: European Commission

Award: Strengthening CoARA and Enabling Systemic Reform of Research Assessment - A Booster