OUTCOMES

Public Deliverables

Stakeholders Engagement plan and guidelines (D2.1)

Report on the local site analysis report and list of relevant issues problems and resources – version 1 (D2.2)

Report on the local site analysis report and list of relevant problems and resources (D2.3)

Report on the local demonstration case studies analysis (D3.1)

Baseline status and indicators identification (D3.2)

The city requirements and resources translated to GDPM (D6.1)

Corporate identity and general templates for dissemination material (D9.1)

Project Website (D9.2)

Dissemination and Communication Plan – version 1 (D9.3)

Common Action Plan on clustering activities (D9.15)

Quality Assurance Plan (D11.2)

Data Management Plan (D11.3)

 

Confidential Deliverables

POPD – Requirement No. 2 (D1.1)

Project Toolbox (D11.1)

 

Scientific Publications

Gallos, P., Menychtas, A., Panagopoulos, C., Bimpas, M., & Maglogiannis, I. (2022). Quantifying Citizens’ Well-Being in Areas with Natural Based Solutions Using Mobile Computing. In Informatics and Technology in Clinical Care and Public Health (pp. 465-468). IOS Press.

https://doi.org/10.3233/SHTI210958

Kavouras, Ι., Kaselimi, Μ., Protopapadakis, Ε., & Doulamis, Ν. (2021, October). Assessing the Lockdown Effects on Air Quality during COVID-19 Era. In Novelties in Intelligent Digital Systems: Proceedings of the 1st International Conference (NIDS 2021), Athens, Greece, September 30-October 1, 2021 (Vol. 338, p. 207). IOS Press.

https://ebooks.iospress.nl/doi/10.3233/FAIA210095

Govedarica, O., Stanic, F., Randelovic, A., (2021) Physically based modeling of infiltration in case of Nature Based Solutions / Fizički zasnovano modeliranje infiltracije kod prirodom inspirisanih rešenja. In the Proceedings of the 19th conference of the Serbian society for hydraulic research and Serbian society of hydrology (SDHI-SDH), Belgrade, Serbia, October 18-19, 2021 (pp. 395 -410)

http://hikom.grf.bg.ac.rs/SDHI/19-SDHI-SDH-ZBORNIK/Zbornik%2019%20SDHI-SDH_final.pdf

Kavouras, I., Kaselimi, M., Protopapadakis, E., & Doulamis, N. (2021, June). Machine Learning Tools to Assess the Impact of COVID-19 Civil Measures in Atmospheric Pollution. In The 14th Pervasive Technologies Related to Assistive Environments Conference (pp. 396-403).

https://doi.org/10.1145/3453892.3461327

Zafeiropoulos, C., Bimpas, M., Protopapadakis, E., Sardis, E., Doulamis, N., Doulamis, A., … & Lalic, M. (2021). An Introduction to the euPOLIS Project. In Novelties in Intelligent Digital Systems (pp. 197-206). IOS Press.

https://ebooks.iospress.nl/doi/10.3233/FAIA210094

 

PR & Marketing Material

euPOLIS project logo

Project Poster

Press release introducing the euPOLIS project

Press release December 2021

euPOLIS Magazine Issue 1

 

Skip to content