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Wearables and droneS fOr CIty Socio-Environmental Observations and BEhavioral ChangE

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

Communications and dissemination plan and activities - 3rd release

This deliverable summarizes all the dissemination and communication activities and their results during the second period of the project (M18 to M36).This deliverable is an output of Task 8.1

The Knowledge Powerhouse for Citizen Science on Law and Ethics -2nd release

This deliverable summarizes the law and ethics requirements, guidelines and useful resources collected. It is an output of Task 6.2.This is the second version of the “The Knowledge Powerhouse for Citizen Science on Law and Ethics” deliverable and will be delivered in M33.

Target user behaviours and determinants for Citizen Science driven green behaviour 2nd release

This deliverable summarizes the target user behaviors and determinants for Citizen Science as they were defined within T2.2, along with the intervention strategies selected. Furthermore, the measurable KPIs defined within this task will be described in this deliverable, which is an output of Task 2.2. This is the second version of the “Target user behaviors and determinants for Citizen Science driven green behavior” deliverable and will be delivered in M22.

The Knowledge Powerhouse for Citizen Science on Law and Ethics -1st release

This deliverable summarizes the law and ethics requirements guidelines and useful resources collected It is an output of Task 62This is the first version of the deliverable that will be delivered in M12 and will evolve during the project update in month M33

Framework for developing social inclusion participation in citizen engagement and behavioural change platforms -2nd release

This deliverable includes a description of the framework developed for social inclusion and participation in citizen engagement and is an output of Task 6.3.This is the second version of the “Framework for developing social inclusion participation in citizen engagement and behavioural change platforms” deliverable and will be delivered in M34.

Impact Assessment Model

This deliverable describes the impact assessment model and is an output of Task 61

Report on requirements for data-driven decision making

This deliverable describes the data requirements in the decision process and is an output of Task 7.1.

Report on Legal and Regulatory Requirements

This deliverable reports the legal and regulatory requirements and will include a concise overview of the applicable framework and a first set of highlevel recommendations and is an output of T31

Definition and planning of pilots - 2nd release

This deliverable describes the pilot plan and is an output of Task 5.3.This is the second version of the “Definition and planning of pilots” deliverable and will be delivered in M27.

Case study analysis assessing impact of citizen science

This deliverable presents a case study analysis suitable to identify the SOCIO-BEE contribution as policy tool. It is an output of Task 7.1.

SOCIO-BEE toolkit final release

This deliverable includes the presentation of the SOCIO-BEE toolkit and is an output of Task 2.5. This is the second version of the “SOCIO-BEE toolkit” deliverable and will be delivered in M27.

Communications and dissemination plan and activities -1st release

This deliverable contains the project dissemination and communication plan detailing projects guidelines tools and processes targeted stakeholders and audiences channels and activity responsibilities and time plan It an output of Task 81

Definition and planning of pilots - 1st release

This deliverable describes the pilot plan and is an output of Task 53This is the first version of the deliverable that will be delivered in M17 and will evolve during the project update in month M27

Profiling and instruments for CS Bees and Bears identification 2nd release

This deliverable summarizes the profiling methodology, along with the instruments used for the identification of CS Bees and Bears and is an output of Task 2.1. This is the second version of the “Profiling and instruments for CS Bees and Bears identification” deliverable and will be delivered in M25.

SOCIO-BEE methodology for ecosystem and hive creation 2nd release

This deliverable includes the description of the SOCIO-BEE methodology for assembling citizen science hives along with their results to society, and is an output of Task 2.3. This is the second version of the “SOCIO-BEE methodology for ecosystem and hive creation” deliverable and will be delivered in M26.

Evaluation of pilots and behaviour change assessment - 1st release

This deliverable describes the results of the evaluation of the pilots and is an output of Task 5.6.This is the first version of the deliverable that will be delivered in M23 and will evolve during the project (update in month M35).

Guidelines on how to incorporate drones and wearables technology in citizen science

This deliverable includes written guidelines and a short video, explaining the benefits and opportunities that this technology can bring to citizen science project, and providing practical advice on how best to achieve this.This deliverable is an output of Task 8.2

Communications and dissemination plan and activities - 2nd release

This deliverable summarizes all the dissemination and communication activities and their results during the first 18 months of the project Possible updates to the communication and dissemination plan are includedThis deliverable is an output of Task 81

Data Management Plan 2nd release

The Data Management Plan will provide an analysis of the main elements of the data management policy that will be used by with regard to research data that will be generated by the project. SOCIO-BEE participates in the Pilot on Open Research Data in Horizon 2020 to improve and maximise access to and re-use of research data generated by actions. This deliverable will outline how data will be handled during and after the project period. The DMP will include: (i) Reference and name of the data set as well as the organisation in charge (including contact details); (ii) Description of the data set (origin, nature, utility, etc.); (iii) Standards and metadata; (iv) Data exchange (access procedures); (v) Archiving and preservation (long-term preservation procedures); (v) A list of the software tools envisaged to be used during the project for research purposes and justification (vi) The data security protocol (including organisational and technological measures); (vii) Brief overview of the data protection legal requirements, including the contacts of the partners’ designated Data Protection Officers (DPO) or in case there is no designated DPO, the organisation’s data protection policy. The DMP is an output of Task 1.3.This is the second version of the DMP and will be delivered in M20.

Data Management Plan 1st release

The Data Management Plan will provide an analysis of the main elements of the data management policy that will be used by with regard to research data that will be generated by the project SOCIOBEE participates in the Pilot on Open Research Data in Horizon 2020 to improve and maximise access to and reuse of research data generated by actions This deliverable will outline how data will be handled during and after the project period The DMP will include i Reference and name of the data set as well as the organisation in charge including contact details ii Description of the data set origin nature utility etc iii Standards and metadata iv Data exchange access procedures v Archiving and preservation longterm preservation procedures v A list of the software tools envisaged to be used during the project for research purposes and justification vi The data security protocol including organisational and technological measures vii Brief overview of the data protection legal requirements including the contacts of the partners designated Data Protection Officers DPO or in case there is no designated DPO the organisations data protection policy The DMP is an output of Task 13This is the first version of the DMP will be delivered in M6 with partial input from D31 and will evolve during the project updates in month M20 and M36

Data Management Plan final release

The Data Management Plan will provide an analysis of the main elements of the data management policy that will be used by with regard to research data that will be generated by the project. SOCIO-BEE participates in the Pilot on Open Research Data in Horizon 2020 to improve and maximise access to and re-use of research data generated by actions. This deliverable will outline how data will be handled during and after the project period. The DMP will include: (i) Reference and name of the data set as well as the organisation in charge (including contact details); (ii) Description of the data set (origin, nature, utility, etc.); (iii) Standards and metadata; (iv) Data exchange (access procedures); (v) Archiving and preservation (long-term preservation procedures); (v) A list of the software tools envisaged to be used during the project for research purposes and justification (vi) The data security protocol (including organisational and technological measures); (vii) Brief overview of the data protection legal requirements, including the contacts of the partners’ designated Data Protection Officers (DPO) or in case there is no designated DPO, the organisation’s data protection policy. The DMP is an output of Task 1.3.This is the third version of the DMP and will be delivered in M36.

Pubblicazioni

MMAQ: A Multi-Modal Self-Supervised Approach For Estimating Air Quality From Remote Sensing Data

Autori: G. F. Angelis; A. Emvoliadis; A. Drosou; D. Tzovaras
Pubblicato in: International Conference on Image Processing(ICIP), 2024, Pagina/e 319-325
Editore: IEEE
DOI: 10.1109/icip51287.2024.10647792

SOCIO-BEE: A Next-Generation Citizen Science Platform for Citizens' Engagement to Air Pollution Measuring

Autori: Karanassos, Dimitrios and Kyfonidis, Charalampos and Angelis, Georgios and Emvoliadis, Alexandros and Theodorou, Traianos-Ioannis and Zamichos, Alexandros and Drosou, Anastasios and Tzovaras, Dimitrios
Pubblicato in: IEEE International Smart Cities Conference (ISC2), 2023
Editore: IEEE
DOI: 10.1109/isc257844.2023.10293600

A Robust Deep Learning-based System for Environmental Audio Compression and Classification

Autori: Alexandros Emvoliadis, Nikolaos Vryzas, Marina Eirini Stamatiadou, Lazaros Vrysis, Charalampos Dimoulas, Anastasios Drosou, Dimitrios Tzovaras
Pubblicato in: Journal of the audio engineering society, 2023
Editore: Audio Engineering Society

A critical look at science-based policy-making during the covid-19 pandemic. The case of EU covid passes and lessons learned for the future

Autori: Danaja Fabcic Povse
Pubblicato in: Population Medicine, 2023, Pagina/e 472-473
Editore: European Publishing
DOI: 10.18332/popmed/165067

Identifying sources of air pollution from their audio footprints

Autori: Stamatiadou, Μ.-Ε., Vrysis, L., Vryzas, Ν., Dimoulas, C.
Pubblicato in: Proceedings of the Hellenic Conference on Acoustics 2022, 2022, Pagina/e 100-107
Editore: Hellenic Institute of Acoustics

SOCIO-BEE: example of a citizen science community for the co-creation of measures to reduce the impact of environmental pollution in the framework of smart cities

Autori: Hernandez Jayo, Unai; GARCIA ZUBIA, JAVIER; LOPEZ DE IPIÑA GONZALEZ DE ARTAZA, DIEGO; Casado Mansilla, Diego; PUERTA BELDARRAIN, MAITE; Barco Martelo, Alex
Pubblicato in: Proceedings of Ex.pat Conference, Evora (Portugal), 2023, ISSN 2376-6328
Editore: IEEEv
DOI: 10.1109/exp.at2358782.2023.10545919

BeeMate the Game: A hunting treasure serious game for raising awareness and audience engagement in air pollution

Autori: Marina Eirini Stamatiadou, Nikolaos Vryzas, Lazaros Vrysis,Charalampos Dimoulas
Pubblicato in: 8th International Conference on Smart and Sustainable Technologies (SpliTech), 2023
Editore: IEEE
DOI: 10.23919/splitech58164.2023.10193725

Design and implementation of an open-source urban mobility web service based on environmental quality and bicycle mobility data

Autori: Ander Eguiluz, Unai Hernandez-Jayo, Diego Casado-Mansilla, Diego López-de-Ipiña, Andoni Eguiluz Morán
Pubblicato in: IEEE TCS SpliTech 2022 - The 7th International Conference on Smart and Sustainable Technologies, 2022, Pagina/e 1-5, ISBN 978-1-6654-8828-0
Editore: IEEE
DOI: 10.23919/splitech55088.2022.9854330

A citizen science approach to support joint air quality and noise monitoring in urban areas

Autori: Stamatiadou, M. E., Vryzas, N., Vrysis, L., Saridou, T., & Dimoulas, C.
Pubblicato in: Proceedings of the 152nd Audio Engineering Society Convention, 2022
Editore: Audio Engineering Society

Calibration strategies for low-cost compact field sensors in Citizen Science Air Quality measurements: Insights from SOCIO-BEE project

Autori: M. Kotzagianni, S. Udina, S. Casaccia, A. Hassani, Ch. Kyfonidis, G. M. Revel, N. Morresi, A. Roussos, B. Noriega-Ortega
Pubblicato in: IEEE Splitech 2023 - 8th International Conference on Smart and Sustainable Technologies SpliTech, 2023
Editore: IEEE
DOI: 10.23919/splitech58164.2023.10193423

Towards the Democratization of Citizen Science Campaigns for Air Quality Assessment

Autori: Diego López-de-Ipiña, Maite Puerta, Alex Barco, Diego Casado-Mansilla, Oihane Gómez-Carmona, Nicole Morresi, Maria Kotzagianni, Carlos López-Gomollón and Sergi Udina
Pubblicato in: Proceeding of UCAmI 2024, 27-29 November 2024, Belfast, UK, 2024
Editore: Springer, Lecture Notes

A Micro-volunteering Engine to drive crowd-measuring of Air Quality in Citizen Science

Autori: Puerta-Beldarrain, Maite and Gómez-Carmona, Oihane and López-de-Ipiña, Diego and Casado-Mansilla, Diego and Barco, Alexandre and Jayo, Unai Hernández and García-Zubia, Javier
Pubblicato in: Proceedings of 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech), 2023, Pagina/e 1-6
Editore: IEEE press
DOI: 10.23919/splitech58164.2023.10192983

CEN/TS 17660 in Air Quality Systems for Data Quality Validation and Certification over Smart Spot Air Quality Systems

Autori: Eduardo Illueca Fernández, Nuria Bernabé Muler, Alejandro Pujante Pérez, Jorge María Merino García, Iris Cuevas Martínez, Antonio Jesús Jara Valera
Pubblicato in: Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022), 2022, Pagina/e 642-653
Editore: Springer
DOI: 10.1007/978-3-031-21333-5_65

Self-Supervised Trajectory Clustering with Optimal Transport and Metric Learning

Autori: A. Emvoliadis; G.- F. Angelis; A. Drosou; D. Tzovaras
Pubblicato in: 32nd European Signal Processing Conference (EUSIPCO), 2024, Pagina/e 1977-1981
Editore: IEEE
DOI: 10.23919/eusipco63174.2024.10714968

The BeeMate: Air quality monitoring through crowdsourced audiovisual data

Autori: Nikolaos Vryzas, Marina Eirini Stamatiadou, Lazaros Vrysis, Charalampos Dimoulas
Pubblicato in:  8th International Conference on Smart and Sustainable Technologies (SpliTech), 2023
Editore: IEEE
DOI: 10.23919/splitech58164.2023.10193498

Improving Air Quality Data Analysis by Injecting and Detecting Contextual Anomalies

Autori: A. Emvoliadis; G.- F. Angelis; A. Drosou; D. Tzovaras
Pubblicato in: International Conference on Geoscience and Remote sensing (IGARSS), 2024, Pagina/e 6910-6915
Editore: IEEE
DOI: 10.1109/igarss53475.2024.10642679

Regional Datasets for Air Quality Monitoring in European Cities

Autori: G.- F. Angelis; A. Emvoliadis; T.-I. Theodorou; A. Zamichos; A. Drosou; D. Tzovaras
Pubblicato in: International Conference on Geoscience and Remote sensing (IGARSS), 2024, Pagina/e 6875-6880
Editore: IEEE
DOI: 10.1109/igarss53475.2024.10640879

Human-AI Collaboration to Promote Trust, Engagement and Adaptation in the Process of Pro-environmental and Health Behaviour Change

Autori: Puerta-Beldarrain, M., Gómez-Carmona, O., Casado-Mansilla, D., López-de-Ipiña, D.
Pubblicato in: Lecture Notes in Networks and Systems book series (LNNS,volume 594), 2022, Pagina/e 381-392, ISBN 978-3-031-21332-8
Editore: Springer
DOI: 10.1007/978-3-031-21333-5_38

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