Yesterday 27.05 #BinareTeam (Mariia Gavriushenko) attended a seminar on Digital Twins focusing on Climate, Forests, and Water hosted by the CSC – IT Center for Science Digital Twins team.
The event aimed to bring together Finnish researchers and specialists working on Digital Twin projects to showcase their work and foster collaboration within the Finnish DT community.
Mariia Gavriushenko presented the EXTRACT EU Project as part of the seminar.
The EXTRACT project introduces an advanced Urban Digital Twin (UDT) for Venice, aimed at enhancing urban safety and efficiency, particularly in emergency management. This digital twin uses a specialized Python script to convert geographic and structural data from OpenStreetMap into a semantically enriched format, enabling real-time integration and precise urban modeling. The semantic enhancement of urban data improves decision-making capabilities, making it comprehensible and actionable for both machines and human decision-makers. This structured data aids in simulating emergency scenarios and formulating optimized evacuation strategies. The project exemplifies how UDTs can revolutionize urban planning, resilience, and operational efficiency.
Many thanks to other speakers for their presentations:
Annimari Hartikainen “Digital Twins for Supporting Smart Farming Operations”(Natural Resources Institute Finland / Luonnonvarakeskus) Quentin Bell “Two peas in a pod: a digital twin for climate-smart agriculture” Debasish Pal “Blueprint conceptualization for a river basin’s digital twin” (University of Oulu) Kwabena Mensah Atobra “A digital twin to control induced seismicity for enhanced geothermal reservoirs” (University of Helsinki) Mikko Strahlendorff “Machine learning in HarvesterDestinE project” (Finnish Meteorological Institute) Matti Mõttus “Forest Digital Twin for DestinE and the ARTISDIG project” (VTT) Juho Heikkilä “Forest DT – MetsaKaksonen development project” (Suomen metsäkeskus – Finnish Forest Centre) Jenni Kontkanen “Climate Change Adaptation Digital Twin” (CSC – IT Center for Science) Juha Oksanen “Marine and freshwater data integration – cases AquaINFRA and Digital Waters”(Maanmittauslaitos, National Land Survey of Finland) Bekir Afsar “Biodiversity Digital Twin (BIODIT)”(University of Jyväskylä) Mohammad Imangholiloo “A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings” (University of Helsinki)
Shout-out to partners of EXTRACT Project: Barcelona Supercomputing Center IKERLAN Universitat Rovira i Virgili Logos RI Observatoire de Paris | PSL Université Paris Cité CNRS MATHEMA GmbH IBM SixSq















