CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.
I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .
Risultati finali
A report which in its 1st version (M12) will specify the R-Map model specs and its co-design process. In the second version (M14) the report will be updated with information about the R-Map model using state-of-the-art statistical and machine learning methods and will be accompanied by the developed R-Map model which will be using as input the results of the data fusion techniques integrating heterogenous data coming from the large-scale survey, open datasets and qualitative methods as well as the results of the spatial factor and sensitivity analysis in an operational way. It will draw on spatial, statistical and machine learning techniques to analyse how RWAs affect the urban-rural divide at regional level.
Dissemination and Communication plan, activities and results (si apre in una nuova finestra)A report outlining in its first version (M3) the dissemination and communication plan of R-Map. A second version will be provided at the end of the first reporting period (M15). The second version will also provide information on the final communication products envisioned at this stage including: project’s logo and promotional package (leaflet, poster, templates); social media presence; project’s web portal. It will also provide information on the newsletters and the 45-second promo video. This video will outline the project objectives and will have an appropriate audiovisual format (e.g. .MP4, .AVI, .WEBM, .MOV) to ensure quality, support by web browsers and programs, ability to move, share, convert, etc.An updated version (M36) will summarize the results of the R-Map dissemination and communication activities. The third version will also provide information on the 60-second promo video. This video will summarize key research results and key policy recommendations and will have an appropriate audiovisual format (e.g. .MP4, .AVI, .WEBM, .MOV) to ensure quality, support by web browsers and programs, ability to move, share, convert, etc.
Spatial implications of remote working arrangements across Europe and beyond (si apre in una nuova finestra)A report summarizing the spatial implications of remote working arrangements.
Management and Quality Plan and Data Management Plan (si apre in una nuova finestra)A report outlining the management and quality plan of the project and which will also include the data management plan. This report will be submitted in M3 and updated in M15 and M36.
Current status and emerging trends of remote working arrangements in Europe and beyond (si apre in una nuova finestra)A report presenting the state of play and future outlook of remote working arrangements.
Potential effects of remote working arrangements on the working and living conditions (si apre in una nuova finestra)A report reflecting the effects of remote working on individual level (working and living conditions).
R-Map policy briefs (si apre in una nuova finestra)Two policy briefs will be developed (M15 & M36) to meet policy feedback operational needs and help R-Map get extra visibility among the concerned EC policy services.
Potential socio-economic effects of remote working arrangements (si apre in una nuova finestra)A report documenting the socio-economic effects of remote working arrangements.
The R-Map platform (si apre in una nuova finestra)A report specifying in its 1st version (M12) the R-Map platform architecture and its co-design process. In the second version (M16) the report will be updated to include a list of data to be visualization on the R-Map platform and their visualization potential. In the third and the fourth version (M22 & M36) the report will be updated to include information about the developed R-Map platform along with its services. The third and the fourth version of this report will be accompanied by the developed highly visualization platform which will integrate the R-MAP model as background algorithm and additional datasets to provide an operational tool allowing the visualization of the assessment of the individual, socio-economic and spatial effects of RWAs and of adaptive what-if scenarios.
Pubblicazioni
Autori:
Katharina Fellnhofer 1,2 ✉ , Margarita angelidou 3,4 , Johannes Flacke 5 , Lisa Fontanella 6 , Mandy Fransz 7 , Özge Karanfil 8,9 , Eirini Kelmali 10 , Sibel Kiran 8 , Pavlos Kolias 10 , Vidit Kundu 5 , Konstantina Mataftsi 11 , Thomas Mone 3 , G
Pubblicato in:
Scientific Data, 2025, ISSN 2052-4463
Editore:
Nature
DOI:
10.1038/S41597-025-05972-Z
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