I introduced high-school students to #causality with a mini-game I prepared yesterday for Introduce a Girl to Engineering Day #IGED w/ Women in Engineering Program at Purdue. It was a lot of fun! I made the code and slides public. If you are a teacher, feel free to use them.

Join my inaugural #lecture "No magic wands for science - #AI for investigating #nature and feeding the world" on March 23, at 16:00 CET, in Omnia building, Wageningen campus. For those from far away, it will be streamed online at wur.yuja.com #agrifood #ai4good #WUR

Excited to share our latest article published in PLOS One: journals.plos.org/plosone/articl… #plosoneauthor We propose a fuzzy clustering approach for the within-season phenology estimation for cotton at field level. Phenology observations + field images: github.com/Agri-Hub/cotto…

New paper! 🌽🛰️ We examine paddy rice mapping in South Korea to determine whether it produces qualified products that can complement on-site surveys and be compatible with existing domestic datasets. #deeplearning #agriculture #policy KU BEYOND Centre IAASARS/ NOA tandfonline.com/doi/full/10.10…

🔍 Curious about #causal & #equation discovery from data? Read our review on methods, challenges & opportunities w/ case studies in Earth sciences, fluid mechanics & neurosciences arxiv.org/pdf/2305.13341 Ricardo Vinuesa @laurezanna Georg Martius Emili Balaguer-Ballester Jakob Runge

🆕 Cleaned, facelifted, updated our group webpage: isp.uv.es ✅List of most recent publications updated ✅ Last year's good news ✅ List of invited talks in 2023 ✅ We're now 50 people! Welcome! ✅ A simple promo video w/ our activities Feedback welcome! 😀

🚀 Intense week at #NeurIPS2023 & #AGU23 ! 🆕 #datasets, #deeplearning, #transformers, #remotesensing, #disturbances, #causality, #explainability, #forests, #agriculture, optical/radar/microwaves #sensors, #floods, #wildfires #vulnerability & #human sphere! Follow the 🧵

#AgML - the machine learning for agricultural modelling research team of AgMIP gathers today in Wageningen, for a three-day workshop! Looking forward to welcome 35+ participants in person from four continents, and further more from all around the world! Welcome Wageningen U&R #AI4ag

Introducing PyWhy Causality in Practice, a new talk series focused on causal ML and its practical implications. This Monday, Kun Zhang-in pursuit of Causality with ML will talk about advances in causal discovery and the associated causal-learn package. Jan 29, 8am PT. Join here: pywhy.org/community/vide…

#AgML, ie AgMIP research team on #MachineLearning for #Agriculture had its first workshop in Wageningen! Here is a summary: International Community on #AI for #ag Launched in #Wageningen wur.nl/en/news-wur/sh… via Wageningen U&R

🤖 Can 'innocent robots' replace domain experts for building causal graphs of complex systems? 🚀 We explore it in the paper "#LLMs for Constrained-Based Causal #Discovery" @ "Are LLMs Causal Parrots?" Workshop #AAAI2024 shorturl.at/pqxCM 🧠🔍#AI #Causality Kai-Hendrik Cohrs

Can we learn from the recent past to predict future climate change impacts using machine learning? We have created a new benchmark dataset designed to help answer this question, and you can take part in the challenge: kaggle.com/competitions/t…

Can you learn from the past to predict future climate impacts? Our Kaggle competition has been running for 3 weeks, with 45 submissions so far. Despite using the same training data, models vary in their projected changes in global maize productivity... kaggle.com/competitions/t…

🚨 🌍 New paper using #causality to understand drought-induced displacement in Africa cell.com/iscience/pdf/S… #ClimateChange #Drought #Migration DeepCube H2020 Xaida Project IDMC IOM Data IOM Regional Data Hub (EHSA) IOM - UN Migration 🇺🇳

New 4-year #PhD #scholarship on #AI for sustainable farming in #Africa! Join us at Wageningen U&R to explore causal #ML in #agriculture #ai4good wur.nl/en/vacancy/phd…

🌍 The #AI4CS Workshop wraps up! 🚀 We explored physics-aware, causality-driven #AI to model & understand complex systems—from the visual brain to Earth & socio-environmental interactions. 🌱💡 Here’s to new ideas, collaborations, & tackling global challenges! #ComplexSystems

🚀 New paper! "Large Language Models for Causal Hypothesis Generation in Science" 🔬🤖 Can LLMs help uncover hidden causal patterns? This paper explores how AI, data & human expertise can work together for scientific breakthroughs. 🌍📊 Read here 👉 iopscience.iop.org/article/10.108…

🌱 New paper introducing a causal & explainable AI framework to support sustainable agriculture, starting with Integrated Pest Management (IPM). 👩‍🌾 Farmers deserve robust, transparent & actionable advice (not just predictions). 🔗 Read it here: tr.ee/LeveragingCaus…