scieee AI-readable full text Open interactive document viewer

Open Science Practices in Integrated Assessment Models

Rodés-Bachs, Clàudia; Sampedro, Jon; Frilingou, Natasha; Gardumi, Francesco; Lo Giudice, Camilla

Publisher
Zenodo
DOI
10.5281/zenodo.17476572
Repository
zenodo.org
Language
en

Abstract

Open science promotes the free and accessible dissemination of scholarly outputs to a broad audience, including researchers, stakeholders, and the general public. Its core principle is the open sharing of knowledge to enable reuse, replication, and uphold research integrity. While the integrated assessment modeling (IAM) community is making significant efforts towards aligning with the FAIR and TRUST principles, it still lacks a unified protocol to guide modeling practices based on these standards. To address this gap, we surveyed all modeling teams within two Horizon Euthe rope consortia to identify the open science practices currently in use and the key challenges they face. Drawing on these insights, we developed an open science protocol tailored to the specific needs of IAMs, aiming to enhance the transparency, accessibility, reliability, reusability, and interoperability of models and results. Grounded in FAIR and TRUST principles, the protocol is designed to help translate modeling outcomes into actionable insights, fostering greater trust and engagement among policymakers. It is supported by a practical checklist and includes recommendations for open-source platforms and tools to streamline workflows and reduce the need for specialized technical expertise.

Full text

Open Science Practices in Integrated Assessment Models Clàudia Rodés-Bachs1, Jon Sampedro1,2, Natasha Frilingou3, Francesco Gardumi4, and Camilla Lo Giudice4 ACKNOWLEDGMENTS This research was funded by the European Union’s Horizon programs IAM COMPACT (101056306) and DIAMOND (101081179). J.S. acknowladges the Marie Curie grant GRAPHICS (101060679). The authors thank all survey respondents for their time and thoughtful contributions. 1 Basque Center for Climate Change, Leioa, Spain 2 IKERBASQUE, Basque Foundation for Science, Bilbao, Spain 3 National Technical University of Athens, Athens, Greece 4 KTH Royal Institute of Technology, Stockholm, Sweden IAMC –18th Annual Meeting Búzios, November 11-13, 2025 [email protected] Identify barriers, challenges, common practices, and emerging trends. Have a look at the full publication! BACKGROUND Key concepts & principles •Open science is a concept that aims to make scientific research and data available to scientists, stakeholders, and the general public. •Based on the FAIR and TRUST principles. Some examples & facts •The nº of researchers adhering to OS & registered open data repositories have exponentially increased. •Multiple organizations and networks support OS: •In the EU: the EU Horizon programs have implemented open-access mandates. •In China: the Chinese Open Science Network (COSN) equips scholar communities with the tools to follow OS. •In USA: a Memorendum was issued to promote OS. Benefits •Improves research efficiency. •Increases labour productivity. •Reduces total costs. •Enables broad impactful activities. •Increases public engagement. •Expands funding opportunities. Design an Open Science Protocol for the IAM community: •Aligns with the traditional key steps of IAM studies. •Adheres to the FAIR & TRUST principles at each step. •Provides detailed guidance and practical strategies to facilitate and accelerate the OS practices adoption. •Homogenizes and stadardizes the OS practices among modelling teams. Outcomes are open, transparent, and reliable, which is crucial for fostering greater trust among policymakers and helping to transform model results into real-world applications. Checklist available to easily follow the protocol! METHODOLOGY Run a survey (over 13 modelling teams) to gather information about the current status of the OS practices in the IAM community. Survey results RESULTS