Descrizione del progetto
Sviluppo economico sostenibile
Con l’incombere della pandemia da COVID-19, è necessario che stimoli economici particolari pervadano il Green New Deal per una ricomposizione dei sistemi economici volta all’adozione di tecnologie sicure e rinnovabili, oltre che di soluzioni basate sulla natura. Il progetto RESET, finanziato dall’UE, intende avvalersi dei progressi nell’ambito della modellizzazione spaziale, dell’intelligenza artificiale e del rilevamento ambientale interoperabile, al fine di comprendere meglio i percorsi di riparametrazione dello sviluppo agricolo e urbano verso la sostenibilità in tutta Europa. Saranno esaminate le ripercussioni sull’occupazione, sull’ambiente e sull’economia. Lo studio contribuirà a sviluppare e integrare ulteriormente le reti avanzate di rilevamento ambientale, ponendo l’accento sull’occupazione personalizzata, nonché sui risultati economici e ambientali degli investimenti.
Obiettivo
Time is running out to achieve a more sustainable development. Post COVID-19 economic stimuli need to deploy a green new deal (GND) that ReSETs economic systems to create secure and meaningful employment whilst protecting nature for people, for climate change and flood mitigation, temperature regulation, pollution prevention and soil and biodiversity conservation. This green new deal needs to harness safe, renewable technologies and nature-based solutions. A business as usual (BAU) post-COVID stimulus would embed employment, economic and environmental precarity in what is now fundamentally an unsustainable and unequitable model.
RESET aims to leverage developments in spatial modelling, artificial intelligence and interoperable environmental sensing to better understand pathways to RESET agricultural and urban development across Europe for sustainability. For agriculture we will examine BAU versus an alternative trajectory of regenerative agriculture and rewilding. For cities we will examine BAU vs a more telecommuting focused trajectory of lowered densities, re-greening, traffic reduction to reduce (air, water, noise) pollution and improve the quality of urban life. In all cases we will examine impacts on employment, environment and economy.
We focus on farmland and urban land uses as understudied environments and as key for sustainable development. We will build upon the success of our previous work in developing spatial policy support systems and accompanying user-led design processes, to further develop and integrate advanced environmental sensor networks with a focus on per-person individualised employment, economic and environmental outcomes of investments. This will require environmental and social intelligence to an unprecedented degree bringing together environmental modelling, advanced sensor research, social science and stakeholders’ engagement, and artificial intelligence to go way beyond conventional environmental impact assessment approaches.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- natural sciencesbiological sciencesbiodiversity conservation
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
- social scienceseconomics and businessbusiness and managementemployment
Parole chiave
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-FETPROACT-2020-2
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
WC2R 2LS London
Regno Unito