See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Soja, B., Kłopotek, G., Awadaljeed, M., Crocetti, L., Pan, Y., Rothacher, M., Weinacker, R., Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, & Navarro, V. (2022). The CAMALIOT project. In: FFG Informationsveranstaltung zu NAVISP, 10 May, 2022, Vienna, Austria.
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Abstract
This invited presentation was given at an information event about the European Space Agency’s (ESA) Navigation Innovation and Support Programme (NAVISP) hosted by the Austrian Agency for the Promotion of Science (FFG) in preparation for the ESA Ministerial Conference 2022. The presentation was about the CAMALIOT project, which is currently funded through NAVISP and by FFG, outlining the initial results and what the next steps in the project are. In particular, information about the CAMALIOT crowdsourcing campaign (being run by IIASA) was provided as well as the status of the CAMALIOT machine learning infrastructure and the science uses cases in the project.
Item Type: | Conference or Workshop Item (Other) |
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Research Programs: | Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES) |
Depositing User: | Michaela Rossini |
Date Deposited: | 12 Oct 2022 10:10 |
Last Modified: | 15 Oct 2022 09:03 |
URI: | https://pure.iiasa.ac.at/18291 |
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