#MOOD_H2020 Summer School

1 Day, 2 hackathons: #diseasemodeling
#tick occurrence in #GB
global distribution of #AedesAlbopictus

Congratulations Kornelia Kurucz, Solène Rodde, Auss Abbood, Sebastian von Schreeb & Paolo Dalena, who demonstrated extensive problem solving skills & creativity. MOOD Monitoring Outbreak Events for Disease Surveillance H2020

Even if I don't win the #MOOD_H2020 hackathon, my takeaway is how useful
@rOpenSci
#targets #rpackage https://docs.ropensci.org/targets/ is for reproducible workflows and how powerful #mlr3 https://mlr3.mlr-org.com framework is for spatial machine learning with spatiotemporal cross-validation

Attending MOOD #MOOD_H2020 (@opengeohub https://twitter.com/MOOD_H2020 ) summer school on epidemiological mod elling. There's a chance to join the school's discussion session on the future of disease modelling online this Thursday. 👇
https://www.eventbrite.com/e/future-of-disease-modeling-in-the-time-of-ai-technology-and-big-data-tickets-632562309897

Great to be at MEDILS, Split for our #MOOD_H2020 Summer School "GeoSpatial under the OneHealth Umbrella" https://mood-h2020.eu/event/mood-summer-school-2023/. Doing tutorials in #Rstat , discussing problems of spatial analysis and Machine Learning using epidemiological / #healthdata , adding environmental covariates and building apps for citizens. Still coming up: hackathons + discussion forum. Videos of lectures will be published in early June via https://av.tib.eu/publisher/OpenGeoHub_Foundation

5 yrs of OpenGeoHub and we are still growing! Proud to be doing R&I work for European and world citizens, stoutly promoting #OpenData culture for #Open Development communities. Thank you for believing in us! #AI4SoilHealth #OpenEarthMonitor #landcarbonlab #MOOD_H2020