Artificial Intelligence technology plays an important role in harnessing the capacity of Earth Observations to support evidence-based decisions and improve sustainable performance in many economic sectors. In this publication, nineteen Horizon projects that use artificial intelligence technology in various research tasks, express their views on what is offered by AI, how they use the different AI tools, what are the benefits, the risks and the limitations. Finally, they express the research needed to facilitate the uptake and use, as well as maximize the benefit, of AI in research.
Authors
Directorate-General for Research and Innovation, European Commission, Immler, Franz, Tziastas, Paschalis
Related Organizations
- Catalogue number
- KI-02-24-699-EN-N
- Citation
- European Commission: Directorate-General for Research and Innovation, Immler, F. and Tziastas, P., Horizon projects using environmental observations and artificial intelligence for the benefit of science and society , Immler, F.(editor) and Tziastas, P.(editor), Publications Office of the European Union, 2024, https://data.europa.eu/doi/10.2777/167982
- DOI
- https://data.europa.eu/doi/10.2777/167982
- ISBN
- 978-92-68-18659-6
- Pages
- 27
- Published in
- Belgium
- Themes
- Scientific and technical research
Table of Contents
- ENVIRONMENTAL OBSERVATIONS 3
- AND ARTIFICIAL INTELLIGENCE 3
- TABLE OF CONTENTS 4
- INTRODUCTION ......................................................................................4 4
- HOW TO READ THIS DOCUMENT ....................................................7 4
- AKNOWLEDGMENTS ............................................................................7 4
- PROJECTS REPLIES ...............................................................................8 4
- INTRODUCTION 5
- HOW TO READ THIS DOCUMENT 6
- AKNOWLEDGMENTS 6
- All Data 4 Green Deal - An Integrated FAIR Approach for the Common European Data Space 7
- Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models 8
- Enhancing Citizen Observatories for healthy sustainable resilient and inclusive cities 9
- CLImate INTelligence Extreme events detection attribution and adaptation design using machine learning 10
- Integrated observation monitoring and prediction architecture for functional biodiversity of coastal seas 11
- Eco-Epidemiological Intelligence for early Warning and response to mosquito-borne disease risk in Endemic and Emergence settings 12
- European Eddy-RIch ESMs 13
- Revealing the Role of GEOSS as the default digital Portal for building Climate Change Adaptation Mitigation Applications 14
- AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation 15
- Towards an Integrated Capability to Explain and Predict Regional Climate Changes 16
- F.A.I.R. Information Cubes 17
- Development of a Support System for Improved Resilience and Sustainable Urban areas to cope with Climate Change and Extreme Events based on GEOSS and Advanced Modelling Tools 18
- Open-Earth-Monitor Cyberinfrastructure 19
- Protecting urban aquatic ecosystems to promote One Health 20
- Improved Predictability of Extremes over the Mediterranean From Seasonal to Decadal Timescales 21
- 4.16 SOCIO-BEE 22
- Wearables and droneS fOr CIty Socio-Environmental Observations and BEhavioral ChangE 22
- 4.17 SUSTUNTECH 23
- Sustainable tuna fisheries through advanced earth observation technologies 23
- 4.18 SYLVA 24
- A SYstem for reaL-time obserVation of Aeroallergens 24
- 4.19 XAIDA 25
- Extreme Events Artificial Intelligence for Detection And Attribution 25
