Environmental Data Science
@EnvDataScience
Environmental Data Science is an #OpenAccess @CambridgeUP journal dedicated to the use of data science & AI to enhance our understanding of the environment.
📢 New CFP: Special Collection in EDS! 🌎 Calling for work exploring the convergence between #data-driven methodologies (#AI, #machinelearning) and physical modeling, building upon an upcoming workshop #EGU25. ℹ️ How to submit: bit.ly/3Eq4WLV 📅 Deadline: 31 Oct 2025
Position paper published! Opportunities and challenges of quantum computing for climate modeling 👉 bit.ly/4591Cyb Mierk Schwabe, Lorenzo Pastori, Inés de Vega, @PierreGentine, Luigi Iapichino, Valtteri Lahtinen, Martin Leib, Jeanette Miriam Lorenz & Veronika Eyring
New article! Development of a comprehensive bilateral trade-flow dataset of the environmental pressures of global food production 👉 bit.ly/3TPYC4q By authors from @ucsantabarbara, @LancasterUni, @UTAS_, @UW & @UniversityLeeds #climatechange #agriculture #food
New article! Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems 👉 bit.ly/3Idjb8x By @KDebeire, Andreas Gerhardus, Renée Bichler, @runge_jakob & Veronika Eyring #spatiotemporalmodels #uncertaintyestimations
Introducing our new Editor @PMoutis! Welcome to our board! We have assembled an international advisory board of experts in the field of environmental data science. View our board here: cambridge.org/core/journals/… #environment #data #climatechange
New article! Classification-informed estimation: the role of water-type clustering to improve neural network generalization for salinity and temperature estimation in coastal waters 👉 bit.ly/4kRZfG7 By authors from @EdinburghUni, @CefasGovUK, @StirUni & @NOCnews
New article! Toward HydroLLM: a benchmark dataset for hydrology-specific knowledge assessment for large language models 👉 bit.ly/4mJpEYs By Dilara Kizilkaya, Ramteja Sajja, Yusuf Sermet and Ibrahim Demir @IIHRUIowa @Tulane #LLM #AI #LargeLanguageModels #hydrology
New article! Discovering effective policies for land-use planning with neuroevolution 👉 bit.ly/3ZoUBHf By Daniel Young, Olivier Francon, Elliot Meyerson, Clemens Schwingshackl, @JacobBieker, Hugo Cunha, @babakatwork & Risto Miikkulainen @OpenClimateFix @Cognizant
New article! The influence of correlated features on neural network attribution methods in geoscience 👉 bit.ly/3F8huId By @krell_evan, @AntoniosMamala2, Scott A. King, Philippe Tissot and @Iebertu #artificialintelligence #AI #neuralnetworks
📢 CALL FOR PAPERS: Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation This special collection will build upon a workshop at #EGU25. Find out more: bit.ly/4k09cBu @brajard #climate #AI #forecasting
New article! Learning complex spatial dynamics of wildlife diseases with machine learning-guided partial differential equations 👉 bit.ly/4d8c9wR By authors from @UofSC, @USFWS, @umontana & @UWMadison #spatialdynamics #ecology #ecologicaldiffusion #MachineLearning
