Opendata, web and dolomites


Market replication of a cutting-edge FlOod Risk ScrEEning Tool

Total Cost €


EC-Contrib. €






Project "FOReSEE" data sheet

The following table provides information about the project.


Organization address
address: ABOGADE 40 D
city: AARHUS N
postcode: 8200
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Denmark [DK]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2019-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SCALGO DEVELOPMENT APS DK (AARHUS N) coordinator 50˙000.00


 Project objective

Natural disasters commonly have deep, far-reaching consequences for the communities affected. Among the most destructive natural hazards are floods, accounting for well over 40% of all weather-related disasters. Thus, recent years have witnessing increased attention and large investments in strategic flood risk assessments and mitigation. Flood management covers the holistic and continuous assessment, evaluation and reduction of flood hazard and flood risks. Flood maps are indispensable tools to show information about hazards, vulnerabilities and risks in a particular area. Indeed, a number of countries are making significant investments to improve the quality of mapping. Most of European countries have created detailed elevation models that digitally represent the surface of the terrain with meter or even sub-meter resolution on a national scale. However, the detailed digital elevation models represent massive amounts of data that are impossible to handle on a large scale for most available flood risk analysis software. Based on cutting-edge algorithm technology, we have developed a disruptive online platform that harnesses the descriptive power of big geometric data sets to provide cost-effective and updated decision support for end-users working with flood risk and climate change adaptation. We aim to pursue a major market opportunity by expanding our business into new geographical markets, addressing standing technical and market-related challenges by adapting and demonstrating the capabilities of our platform with reference end-users. Overall, leveraging on the opportunity provided by the SME instrument, this project opens not only an important economic opportunity for SCALGO ApS, but will importantly enable a more systemic approach to flood risk management, leading to strategic decisions at various levels for a range of end-users (the public sector, businesses, and individuals), and supporting EU mitigation and adaptation policies.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "FORESEE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "FORESEE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

Dyme (2019)

Dyme gives its users complete control over their financial situation. The Dyme application provides insight into users’ spending and subscriptions, and lets users cancel, negotiate, or switch any cont

Read More  

HAC (2019)


Read More  

COPI (2020)

Carbon Offset Plug-in

Read More