"ESPON programm" projekt VLTOM18382
VLTOM18382 (EE/SO2/055/2018) "Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC) (Interreg ESPON 2020) (1.05.2018−30.06.2019)", Anto Aasa, Tartu Ülikool, Loodus- ja täppisteaduste valdkond, ökoloogia ja maateaduste instituut.
EE/SO2/055/2018
VLTOM18382
Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC) (Interreg ESPON 2020)
Potentials of big data for integrated territorial policy development in the European growth corrįdors (Big Data & EGC) (Interreg ESPON 2020)
BIG DATA & EGC
1.05.2018
30.06.2019
Teadus- ja arendusprojekt
ESPON programm
ETIS klassifikaatorAlamvaldkondCERCS klassifikaatorFrascati Manual’i klassifikaatorProtsent
1. Bio- ja keskkonnateadused1.10. Geograafia ja regionaaluuringudS230 Sotsiaalne geograafia1.5 Maateadused ja nendega seotud keskkonnateadused100,0
AsutusRiikTüüp
Euroopa Komisjon
PerioodSumma
01.05.2018−30.06.201975 000,00 EUR
75 000,00 EUR

The aim of this proposed service is to strengthen the knowledge-base for evidence-based planning in the Northern Growth Zone (NGZ), which is currently mostly leaning on more traditional data sources in its planning and development processes. As framed in the Terms of Reference, the main objective of the service is to find and evaluate new available data sources for evidence-based policy making regarding growth corridors and to research the potentials of big data and locations-based data mining to better inform comprehensive spatial policy in growth corridors. Therefore, the service contributes to Specific Objective 2 of the ESPON 2020 Cooperation Programme in supporting stakeholders in utilising territorial evidence in their policy development.
The aim of this proposed service is to strengthen the knowledge-base for evidence-based planning in the Northern Growth Zone (NGZ), which is currently mostly leaning on more traditional data sources in its planning and development processes. As framed in the Terms of Reference, the main objective of the service is to find and evaluate new available data sources for evidence-based policy making regarding growth corridors and to research the potentials of big data and locations-based data mining to better inform comprehensive spatial policy in growth corridors. Therefore, the service contributes to Specific Objective 2 of the ESPON 2020 Cooperation Programme in supporting stakeholders in utilising territorial evidence in their policy development.
KirjeldusProtsent
Alusuuring100,0
AsutusRollRiikTüüpKommentaar
University of TurkukoordinaatorSoome Vabariikülikool