RESET


ReSET (Restarting Economy in Support of Environment, through Technology) is a research and development project supported by Horizon2020 and focused on Future and Emerging Technologies (FET) in Environmental Intelligence. It is supported by the European Union’s Horizon 2020 FET Proactive Programme (now part of the pathfinder programme of the European Innovation Council) under grant agreement No 101017857.  


Environmental intelligence is the combination of a range of data streams with models and algorithms, some of which use artificial intelligence approaches in order to better understand - and to better manage - the environment. The ReSETConsortium consists of entities from the United Kingdom (King’s College London, the coordinating institution, and AmbioTEK CIC), the Netherlands (Research Institute for knowledge systems), Spain (ICATALIST), Italy (Water Research Insitute of Consiglio Nazionale delle Ricerche) and Romania (GeoEcoMar).


ReSET will leverage technological developments in spatial modelling, artificial intelligence and environmental sensing to better understand pathways to ReSET agricultural and urban development across Europe by working with the relevant stakeholders to develop and test more sustainable new ways of farming and of urban development.  For agriculture we will examine the business as usual (BAU) situation versus an alternative trajectory of regenerative agriculture and rewilding.  For cities we will examine BAU vs a more telecommuting focused trajectory providing opportunities for lowering densities, re-greening, traffic reduction and nature based solutions to reduce (air, water, noise) pollution, reduce climate-related risks (e.g. urban heat extremes) and improve quality of urban life.  


In all cases we will deploy technology to examine impacts on employment, environment and economy. We will build an artificial intelligence-powered and advanced sensor-connected spatial green investment policy support system (GI-PSS),  make it freely available to all, for application anywhere in Europe at scales from local to global.  The ReSET PSS will live beyond the project with the support of policysupport.org and will represent a radical improvement over existing processes for environmental impact assessment  (EIA) of proposed urban and rural investments, including post-COVID green recovery investments.


Our focus will be farmland and urban land uses as understudied environments, yet key environments for sustainable development.  We will also examine the connections between farmland and urban environments with respect to flows of income, ecosystem services (the benefits people receive from Nature) and employment between them.  We will focus particularly on sustainable development options to manage flooding, drought, soil, water and air quality as key environmental concerns for Europe that are impacted by urban and farmland management and development.


Our modelling scale will be the European scale with detailed earth observation powered- modelling case studies (DEMOs) at the national scale (UK, Spain, Romania, Italy) and integration with advanced sensing at local-regional scales: SE England, London (UK), Rivas Vacia Madrid and Valladolid (ES),  Carasuhat Wetlands (RO) and Bologna (IT). The project runs from January 2021-January 2024.


Tools:

  • The ReSET Policy Support System (in preparation)
  • ReSETMap (beta) here
  • ReSET monitoring network
    • United Kingdom
      • Strand-Aldwych (urban pollution); Spains Hall (natural flood management); Thorndon Country Park (natural flood management, road pollution)
    • Spain

    • Italy

    • Romania

Public deliverables


Contact us:
 
  • Email: mark.mulligan@kcl.ac.uk
  • Social media hashtag #ReSETH2020


 This project (ReSET) has received funding from the European Union’s Horizon 2020 FET Proactive Programme under grant agreement No 101017857. The opinions expressed in this document reflect only the author’s view and in no way reflects the European Commission's opinions. The European Commission is not responsible for any use that may be made of the information it contains.