Thrilled to have presented about #AI and EO Digital Platforms for #PublicHealth applications at the United Nations World Health Organization (WHO) Conference on Space and Global Health. Advancing the use of satellite data together with policymakers, stakeholders, and user communities. unoosa.org/oosa/en/ourwor…

We’re at COP28 UAE! Come to visit us at European Space Agency Pavilion at B7 88 (Blue Zone). We have prepared a great programme, check out below the session for the first 2-days.

We look forward to working with you at European Space Agency #philab.

A short recap of how European Space Agency's Φ-lab contributed to #COP28, sharing ESA’s experience in tackling climate issues through AI-driven modelling and analysis of Earth observation (EO) data: philab.esa.int/%cf%86-lab-con…

OPEN – Submit your abstract until 31 January for the 4th joint ESA-ECMWF workshop on #MachineLearning for Earth System Observation and Prediction #ML4ESOP. When: 7-10 May 2024 Where: ESA (Frascati, IT) Registration: ml4esop.esa.int Thematic Areas: ml4esop.esa.int/thematic-areas

📢 European Space Agency-ECMWF's 4th joint workshop on #MachineLearning for #EarthObservation and Prediction is being held in Frascati, Italy, on 7-10 May. Register and submit abstracts now, and read more information about the workshop themes➡️ ml4esop.esa.int #AIforEOWS #ml4esop @esa_EO

Abstract submissions are still open for the joint European Space Agency/ECMWF Machine Learning for Earth System Observation and Prediction Workshop! An interesting opportunity to enhance your CV and to make sure you stay on top of the latest developments and tools in this new exiting field:

🚨Deadline extended for the joint European Space Agency/ECMWF workshop on #MachineLearning for #EarthObservation and Prediction. You now have until 11 February to submit your abstract: ml4esop.esa.int

📢 Last few days to submit abstracts for the 4th European Space Agency-#ECMWF joint workshop on #MachineLearning for Earth System Observation and Prediction. For details on the workshop themes and to submit an abstract by 11 February ➡️ ml4esop.esa.int #AIforEOWS

Welcome Kelsey to #philab at ESA Earth Observation! Happy to have you with us working in collaboration with UNICEF Giga, Do-Hyung Kim using #AI4EO for school mapping and internet connectivity prediction.

Our study is out, Nature Communications. led by Kai Chen

This week I am in Brazil 🇧🇷 for a series of meetings and visits with INPE and Agência Espacial Brasileira (AEB). Yesterday I signed a protocol of Intent with INPE that focuses on #EarthObservation Science, Missions Development & Missions Validation and Policies.

There is still time to register to the European Space Agency/@ecmwf Machine Learning for Earth System Observation and Prediction workshop. What do we offer? Sunny location at European Space Agency ESRIN in Italy (outside Rome) Interesting discussions End-to-End ML4Weather and Climate Prediction, #DestinE, New

Machine learning and #AI are already part of #EarthObservation: but how will they shape the future of #EO? This question and more were addressed at the annual Machine Learning for Earth System Observation and Prediction workshop, held in collab with our good friends at ECMWF.