2nd Workshop on Artificial Intelligence for NMCAs
| 27 October 2022
Joint Workshop organised by EuroGeographics and EuroSDR
Please note that this event was organised as an online only event.
The second edition of this workshop aimed to continue the conversation of AI within the context of NMCAs. By bringing together presentations and discussions about policy frameworks, research trends and experiences of implementing AI this event focused on the role of AI on the business processes of European NMCAs.
The workshop was aimed at staff members of NMCAs and academic institutions with an interest in Artificial Intelligence in the geospatial sector.
Further information about the event can be found in the concept note here (27 October 2022).
The workshop was held over two half-day sessions on the afternoon of 27 October and the morning of the 28 October 2022.
An outline agenda is available in the concept note.
Programme
| Presenter | Presentation | |
|---|---|---|
| Lea Bodossian, EuroGeographics and Joep Crompvoets, EuroSDR | Welcome & Introduction | Download |
| Joep Crompvoets, EuroSDR | AI at NMCAs in Europe | Download |
| Marjana Zelic, EuroGeographics | Status on AI Act legal debate | Download |
| Nick Land, ESRI | GeoAI for National Mapping & Cadaster | Download |
| Matthieu Porte, IGN France | AI in IGN France | Download |
| Jo Vanvalckenborgh, Digital Flanders | AI Use Cases within Digital Flanders | Download |
| Ed Parsons, Google | Presentation from Google | |
| Thomas Marquenie, KU Leuven | Data Protection Impact Assessments in Public Service and AI Technology | Download |
| Lea Bodossian & Carol Agius, EuroGeographics | Welcome to day 2 | Download |
| Sven Schade, Joint Research Center, European Commission | Artificial Intelligence in the European public sector – what, why, how | Download |
| Colin Van Noordt | AI-usage at the public sector in Europe (incl. NMCAs) | |
| Wim Florijn, Kadaster Netherlands | How AI shapes land registration in the Netherlands | Download |
| Juha Hyyppä, NLS Finland | Laser scanning research generates benefits for society in Finland | Download |
| Daniel Kristof, Lechner Non-profit LTD, Hungary | Country-wide mapping activities using Machine Learning and Earth Observation | Download |
| Mirjana Voelsen, Leibniz Universität Hannover, Germany | Multitemporal land cover classification with Sentinel-2 images for national surveying authorities | Download |