Innovative approaches to improve research assessment. The experience of ”la Caixa” Foundation applying AI tools.
Carla Carbonell Cortés
(La Caixa Foundation)
Ines Bouzon Arnaiz
(La Caixa Foundation)
Short abstract
The “la Caixa” Foundation has been exploring AI-assisted decision-making to alleviate the administrative burden within its funding programmes evaluation pipeline. These implementations highlight AI’s potential to enhance efficiency while upholding ethical standards and transparency.
Long abstract
The “la Caixa” Foundation has been exploring AI-assisted decision-making to alleviate the administrative burden within its funding programmes evaluation pipeline. Currently, we employ an algorithm to detect immature project proposals before they reach the peer-review stage (content eligibility), recommending their exclusion to a human overseer. Additional AI tools include a reviewer-matching system and an assistant for the revision of the evaluation report and their compilation in case of Selection Committees.
These implementations highlight AI’s potential to enhance efficiency while upholding ethical standards and transparency. Key considerations include the critical role of human oversight and the need to address bias, accountability, and fairness in research funding.
Looking ahead to 2025, planned developments include a Chatbot for Query Resolution, a Proposal Writing Assistant, a Proposal Review Assistant, an Explainability project for the content eligibility algorithm, and public access to this algorithm.
Accepted Paper
Short abstract
Long abstract
The “la Caixa” Foundation has been exploring AI-assisted decision-making to alleviate the administrative burden within its funding programmes evaluation pipeline. Currently, we employ an algorithm to detect immature project proposals before they reach the peer-review stage (content eligibility), recommending their exclusion to a human overseer. Additional AI tools include a reviewer-matching system and an assistant for the revision of the evaluation report and their compilation in case of Selection Committees.
These implementations highlight AI’s potential to enhance efficiency while upholding ethical standards and transparency. Key considerations include the critical role of human oversight and the need to address bias, accountability, and fairness in research funding.
Looking ahead to 2025, planned developments include a Chatbot for Query Resolution, a Proposal Writing Assistant, a Proposal Review Assistant, an Explainability project for the content eligibility algorithm, and public access to this algorithm.
How fundamentally & how fast is AI changing the science system?
Session 1 Tuesday 1 July, 2025, -