http://earth.bsc.es/wiki/ 2026-04-29T10:31:23+00:00 http://earth.bsc.es/wiki/ http://earth.bsc.es/wiki/lib/exe/fetch.php?media=favicon.ico text/html 2020-02-13T16:08:08+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:acronyms&rev=1581610088&do=diff Acronyms and additional information * ACM : Association for Computing Machinery * ACM Gordon Bell Prize : awarded each year to recognize outstanding achievement in high-performance computing, and track the progress over time of parallel computing, with particular emphasis on rewarding innovation in applying high-performance computing to applications in science, engineering, and large-scale data analytics ( text/html 2016-05-09T10:56:09+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:big_data&rev=1462791369&do=diff Big Data in Earth Sciences Earth Sciences Big Data Strategy In order to have a clear view about the global strategy the ES department wants to adopt in the next 3 to 5 years regarding Big Data, a document has been written to describe the perspectives we have on the subject. text/html 2020-02-13T16:07:21+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:funding_opportunities&rev=1581610041&do=diff Funding opportunities related to AI in Earth sciences * phi-lab (<http://blogs.esa.int/philab/files/2019/01/Phi-Lab_WorkWithUs.pdf>) : proposal through the Science for Society Open Call (permanently open), up to 150Keuros, funded topics include ML, cubesat data analysis, applying AI to EO * National Geographic AI for Earth Innovation ( text/html 2020-02-18T11:59:20+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:machine_learning&rev=1582027160&do=diff Machine Learning Applications in Earth Sciences Thoughts about applications of AI for Earth Sciences * Artificial Intelligence for weather forecasting * Improving climate Prediction * machine learning challenges in climate prediction Our Department activities * Presentations * Meetings * Applications * papers