- This event is in the past, and registration is therefore closed.
2nd Workshop on Artificial Intelligence for NMCAs
27th October 2022 @ 1:30 pm - 28th October 2022 @ 1:00 pm CEST
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.
|Welcome & Introduction||Lea Bodossian, EuroGeographics and Joep Crompvoets, EuroSDR|
|AI at NMCAs in Europe||Joep Crompvoets, EuroSDR|
|Status on AI Act legal debate||Marjana Zelic, EuroGeographics|
|GeoAI for National Mapping & Cadaster||Nick Land, ESRI|
|AI in IGN France||Matthieu Porte, IGN France|
|AI Use Cases within Digital Flanders||Jo Vanvalckenborgh, Digital Flanders|
|Presentation from Google||Ed Parsons, Google|
|Data Protection Impact Assessments in Public Service and AI Technology||Thomas Marquenie, KU Leuven|
|Welcome to day 2||Lea Bodossian & Carol Agius, EuroGeographics|
|Artificial Intelligence in the European public sector – what, why, how||Sven Schade, Joint Research Center, European Commission|
|AI-usage at the public sector in Europe (incl. NMCAs)||Colin Van Noordt|
|How AI shapes land registration in the Netherlands||Wim Florijn, Kadaster Netherlands|
|Laser scanning research generates benefits for society in Finland||Juha Hyyppä, NLS Finland|
|Country-wide mapping activities using Machine Learning and Earth Observation||Daniel Kristof, Lechner Non-profit LTD, Hungary|
|Multitemporal land cover classification with Sentinel-2 images for national surveying authorities||Mirjana Voelsen, Leibniz Universität Hannover, Germany|