FAIRiCUBE

FAIRiCUBE's Knowledge Base services Sharing the experience of project use cases is key to achieving FAIRiCUBE’s core goal of bringing the power of data cubes and machine learning to actors beyond the classic EO domains. The Knowledge Base services have been designed for this purpose. They are currently under development (prototype phase). Guidance, recommendations, technical and implementation expertise on data analysis and processing are readily available to users through two interacting platforms: the Community Collaboration Platform and the Knowledge Base Platform. The first provides simplified access to the documentation of the FAIRiCUBE Hub and the resources of the use cases: Getting Started, Examples, Self-Training Library on Machine Learning and Data Cubes. The exchange of information between experts/users also takes place through the FAIRiCUBE dedicated GitHub repositories. The second provides simplified access to analysis & processing resources. Read more and check out the services at: https://lnkd.in/eDwjh855

The 16th of April WUR hosted a webinar on Use Case2 (UC2): Agriculture and biodiversity nexus. Can AI support bird conservation in the Netherlands? WENR colleagues presented the preliminary outcomes of UC2 so far: an approach to use Causal AI to assess the impact of farming activities on the environment and biodiversity. More info and webinar recordings here: https://lnkd.in/d7xtQdGg

Visualising climate data for cities A quick overview of climate indicators of your city? Or comparing climate indicators between cities? Use case 'Urban adaptation to climate change of FAIRiCUBE lead by space4environment sàrl has developed easy-to-read dashboards based on Grafana. These dashboards present the collected climate data and their analysis results in a streamlined and easy-to-digest manner for policy-makers that need to get the gist of the analysis without necessarily knowing the technical details. Read more at https://lnkd.in/gCmAqCU9

We are looking forward to the UC2 FAIRiCUBE webinar tomorrow! Not subscribed yet: Late birds can still register here! https://lnkd.in/edFE8Reu   FAIRiCUBE aims to leverage the power of Machine Learning (ML) and Artificial Intelligence (AI) operating on multi-thematic datacubes to unleash the potential of environmental, biodiversity and climate data through dedicated European data spaces.  In this seminar we will introduce you to the world of FAIRiCUBE and then have an interactive session to dive into the Dutch FAIRiCUBE use case: UC2 Biodiversity and agriculture nexus   Agenda 10:00-10:15 - Introduction to FAIRiCUBE by Stefan Jetschny 10:15-10:45 - Use Case 2 (UC2) in a nutshell; Earth Observation for agriculture and biodiversity; Data cubes, AI and Causal ML; Detection-attribution framework by Marian Vittek, Rob Knapen, Masoume Raeissi 10:45-11:15 - Interactive session on preliminary results by Marian Vittek, Masoume Raeissi, Giulia Salvini 11:15-11:45 - Interactive session on AI for biodiversity; How can AI support bird conservation? Foreseen applications of UC2 outcomes; What are the benefits and limitations? by Rob Knapen, Giulia Salvini  11:45-12:00 - Last announcements and closure by Giulia Salvini More info on the Use Case here: UC2: Agriculture and biodiversity nexus – Fairicube https://lnkd.in/epQd8PaK   Please forward this invitation within your network!  

We are pleased to announce that our second newsletter has been published!   Get our newsletter using this link: https://lnkd.in/eh_M44Fu Would you like to stay informed about FAIRiCUBE project’s updates ? Would you like to be involved in the upcoming project activities ? Or do you just want to stay in touch and learn more about the project? Read it to get insight in the FAIRiCUBE Hub, the combination of Datacubes and Machine Learning, the Green Deal Data Space, heterogeneous data integration and much more! Join our journey and help us shape the #DataSpace of the future! ➡️ To visit the FAIRiCUBE website: https://fairicube.eu

We are excited to announce that our first newspaper article for the Naturhistorisches Museum Wien Use Case of the FAIRiCUBE project has been published. Last week we started outreach for our Citizen Science project “Vienna City Fly”. We want to encourage potential helpers with a webpage and a registration survey, the aim is to sample Drosophila melanogaster from April to October in Vienna with their help. Already 50 volunteers registered within the first week.  The national newspaper “Heute” helped us spreading the news and survey, also mentioning @FAIRiCUBE in their article. See the article here: https://lnkd.in/emsiz9-z. Vienna City Fly: https://lnkd.in/epYvjssM Interested in Helping? https://lnkd.in/ejgCy3N5

We are excited to invite you to the second use case FAIRiCUBE seminar!    FAIRiCUBE aims to leverage the power of Machine Learning (ML) and Artificial Intelligence (AI) operating on multi-thematic datacubes to unleash the potential of environmental, biodiversity and climate data through dedicated European data spaces.  In this seminar we will introduce you to the world of FAIRiCUBE and then have an interactive session to dive into the Dutch FAIRiCUBE use case: UC2 Biodiversity and agriculture nexus   Please feel free to forward this invitation within your network. Enthusiastic? Subscribe here: https://lnkd.in/gSzBungP

The Teams link for the first FAIRiCUBE use case seminar is available!    This seminar is perfect for EU city representatives, climate adaptation enthusiasts, policy makers, environmental organizations and anyone curious about FAIRiCUBE.  For more information see www.fairicube.eu/ 

Meet Sonja Steindl- this week's FAIRiCUBE team member!

We present you Rob Knapen - our next member of the FAIRiCUBE team.