Data Lab for Climate Change Adaptation: A Literature and Practice Review

The rapid pace of urbanization and the intensifying effects of climate change require innovative adaptation strategies. Data Labs have emerged as promising tools for enhancing decision-making by integrating diverse data sources and engaging multiple stakeholders. However, their effectiveness in climate adaptation remains largely underexplored. This paper conducts a systematic review of the literature on Data Labs, examining their role within digital decision-support frameworks. Additionally, a benchmarking analysis of existing climate adaptation platforms is carried out to identify prevailing trends, challenges, and gaps in current approaches. Our findings highlight the need for improved data integration, inclusive stakeholder participation, and governance structures that enhance urban resilience. Based on these insights, this study proposes a refined Data Lab model, outlining its core functionalities, technological requirements, and participatory mechanisms. The research contributes to ongoing discussions on data-driven climate adaptation strategies and offers recommendations for strengthening urban adaptation policies through collaborative digital innovation.

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/ice/itmc65658.2025.11106573
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data Lab for Climate Change Adaptation: A Literature and Practice Review

Laurent Dupont, Jean Paul Castro, Didier Grimaldi, Grégory Hamez
demographic modeling and climate adaptation
article

Data Lab for Climate Change Adaptation: A Literature and Practice Review

Laurent Dupont, Jean Paul Castro, Didier Grimaldi, Grégory Hamez
article en

Abstract

The rapid pace of urbanization and the intensifying effects of climate change require innovative adaptation strategies. Data Labs have emerged as promising tools for enhancing decision-making by integrating diverse data sources and engaging multiple stakeholders. However, their effectiveness in climate adaptation remains largely underexplored. This paper conducts a systematic review of the literature on Data Labs, examining their role within digital decision-support frameworks. Additionally, a benchmarking analysis of existing climate adaptation platforms is carried out to identify prevailing trends, challenges, and gaps in current approaches. Our findings highlight the need for improved data integration, inclusive stakeholder participation, and governance structures that enhance urban resilience. Based on these insights, this study proposes a refined Data Lab model, outlining its core functionalities, technological requirements, and participatory mechanisms. The research contributes to ongoing discussions on data-driven climate adaptation strategies and offers recommendations for strengthening urban adaptation policies through collaborative digital innovation.

Équipe de Recherche sur les Processus Innovatifs, Université de Lorraine (FR), Universitat Politècnica de Catalunya (ES)
Agence Nationale de la Recherche
Climate action
Openalex Percentile: Top 76%
demographic modeling and climate adaptation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Data Lab for Climate Change Adaptation: A Literature and Practice Review — Laurent Dupont, Jean Paul Castro, et al. · (2025) | TGRS Research Map | TGRS