Risultati finali
D5.3 will deliver the optimized versions for the methodologies, tools and visualization widgets obtained in D5.1 and D5.2, based on the feedback received during the execution of the city pilots.
Optimized methodologies, tools and visualization widget for predicting the social consequencesOptimized versions for the methodologies, tools and widgets developed in D6.1 and D6.2 based on the feedback received during the execution of the city pilots.
Cross-domain insights and visualization widgetReport describing the methodologies for integrating the analytics outcome at the level of analysis and software implementing a visualization widget for communicating the extracted insights.
Visualization widget to make social data meaningfulD6.2 will present the visualization widgets and interfaces to interact with geo-social information. It will assist end-users in making sense of data by means of geographic mapping and analysis of trends and opinions.
Update of the integrated CUTLER Platform and multi-facet dashboardUpdate of D8.3, where the CUTLER platform integrating the methodologies and tools and dashboard will be updated based on the revisions derived from the first phase pilots.
Visualization widget for presenting insights about the economic activity in spatio-temporal termsIn D4.2 we will develop the software for the visualization of the analyzed data and results of D4.1. It will assist end-users in making sense of data by means of geographic mapping and analysis of trends and opinions.
Optimized version of reference architecture including update to IoT interfacesOptimized version of the reference architecture and IoT interfaces based on the feedback received during the execution of the pilots.
Visualization widget for making environmental data meaningfulD5.2 will deliver the software for the visualization of the KPIs and insights extracted in D5.1 so as to be conveyed to the decision makers. The visualization approaches to be incorporated in the widget, may include tables, charts, graphs and pivot tables that offer flexibility to the users to combine any parameter in their dataset.
Final version of the data collection, management & protection framework integrated within CUTLER architectureFurther elaborate on the output of D3.2 so as to offer a solution that will be fully integrated with CUTLER architecture.
Integrated CUTLER Platform and multi-facet dashboardSoftware consisting of: a) the CUTLER platform integrating the methodologies and tools developed in WP4,5,6 and the BPM model developed in WP7, and b) the CUTLER dashboard that will integrate the visualization widgets and implement the IAMER approach in multi-facet layout.
Optimized methodologies, tools and visualization widget for measuring economic activityD4.3 will delivered the optimized versions for the methodologies, tools and the visualization widget based on the feedback received during the execution of the city pilots.
First version of the framework for the collection, cleaning, integration & anonymization of big dataSoftware specification of the data framework, incorporating all aforementioned mechanisms for data collection and management as specified in D3.1. This data collection framework will provide the necessary flow of content for the analytic algorithms to work on realistic data;
Update of the final version of the data collection, management & protection framework integrated within CUTLER architectureUpdate of D3.3 where the resulting data framework will be further updated to accommodate for any requirements that may arise during CUTLER’s second phase.
Reports addressed to the policy makers of DG CNECT that will follow a prespecified template addressing questions related to policy making
Legal requirementsD1.2 will outline the legal requirements and provide detailed guidance in terms of the implementation of the potential innovations developed during the project.
The CUTLER Business Process Model - Intermediate ResultsD7.2 is containing the CUTLER BPM for the individual city pilots. The first iteration will be communicated and debated with the city policy planners in order to match their expectations and improve the applicability of the CUTLER BPM.
Report on dissemination and impact assessmentDetailed version of the preliminary plan described in Sections 221 and 222 with concrete plans for the dissemination activities of each partner The report will be updated on M22 aggregating the outcome of the planned activities assessing their impact and constituting the plan for the second piloting phase
Applied CUTLER Business Process ModelD7.3 builds on the previous results and finalizes the CUTLER BPM to be integrated as part of CUTLER platform and dashboard. The focus of he applied CUTLER BPM will be on the pilot cases.
Final data management planThe updated version of D11.2 including new datasets.
Legal taxonomy of data setsD1.1 will provide a legal taxonomy of the datasets relevant for the project in order to map the applicable legal frameworks (M4).
Methodologies and tools for quantifying the economic activity from multi-factorial sources and in spatio-temporal termsD4.1 will define the appropriate methodologies to be used for quantifying the economic activity and capturing the regional economic environment using big data. D4.1 will also employ state of the art analytics tools in order to analyse the economic impact of various investment proposals in the region, as well as use sensitivity tests based on multi criteria analysis for building a road map evaluating the economic impact of projects.
Report on pilot preparations and pilot execution planReport on the activities performed by all pilot cities to prepare the execution of the city pilot, as well as a detailed pilot execution plan providing a time-table of the activities envisaged to carry out the pilot.
IoT data interface descriptionD2.4 will define the CUTLER platform’s interface with all identified sources of environmental, economic and social data and will be an input to T8.1.
Update for legal taxonomy of data setsUpdate of D1.1 in line with the research completed in the time period since the first version (i.e. when a more precise indication of the datasets being used is available) and any legislative developments which may occur.
Methodologies, tools, data models and communication protocols for assessing the environmental impactD5.1 will describe the environmental data model and the dependencies among certain type of measurements. It will define the methodology to access and enrich the data store with new sensor measurements but also to assist in making the dataset always relevant by offering the ability to add/update data types or perform mass changes due to re-calibrations or cases of bad maintenance to the measuring infrastructure revealed a lot later than the collection of the readings. D5.1 will also identify the various KPIs that will help us to measure the environmental impact by revealing insights around comparisons among different sensor readings or by visualizing change for a specific type of measurement by dimensions such as temporal and regional.
Update of legal requirementsUpdated version of D1.2. D1.5 will outline the legal requirements for the final set of data sources to be used in CUTLER pilots.
Requirements for data crawling, integration and anonymizationSummarize the requirements for all WP3 tasks, in terms of: (i) data sources that will be collected in CUTLER, (ii) data cleaning methodologies, collection and harmonization mechanisms; (iii) data types and modeling requirements, including graph representations that can be used to guarantee interoperability; (iv) models and techniques that can be applicable in the context of big data analytics for enabling data anonymization and encryption;
The Baseline Business Process Model for CUTLERD7.1 is containing the baseline BPM for the four city pilots. They are serving as the main reference for the CUTLER BPM. D7.1 is also exploring methods and techniques of generalising the individual BPMs in order to obtain a generic policy-cycle BPM.
Optimized CUTLER BPM based on the evaluation feedback from the city pilotsD7.4 is re-iterating the CUTLER BPM and outlining the path to market readiness, incorporating the feedback received from the city pilots. D7.4 will explore methodologies and techniques for developing a generic BPM for using information-based, big-data applications for policy-development. This shall safeguard the principle usability of the project results beyond the scope of the project.
Report on co-creation sessions for policy designReport on the activities carried-out by all city pilots to involve the necessary stakeholders, harvest their opinion and make more concrete the master plans described in Section 1.3.8.
Methodologies and tools for big data analysis via text mining and geo-social characterization aiming to opinion extraction, trend detection and predictive analysisD6.1 will describe the crowdsourcing and social data model for the analysis of policies. It will define the necessary methodology to filter, analyze and extract relevant information that would reflect the opinion of the society with regard to the water related regions. D6.1 will also propose extensive methodology and algorithms to reveal sentiments, opinions, and relevant trends from the data sources. It will specify the predictive models for assessing the social consequences of policy implementation.
Public administration requirements for privacy-preserving infrastructureD2.1 will specify the performance and privacy requirements for the hybrid-cloud architecture, resulting in a comprehensive set of functional requirements derived from input received from the pilot cities WP9.
Guidelines and recommendations for data privacy in public administrationSummarize the lessons learned in terms of data interoperability and privacy with the intention to formally submit this document for becoming part of EU’s regulations and directives on this topic.
Determine the strategy by which part of the generated data will be made open for maximizing their re-use.
Plan with all details that are necessary to carry out the ecosystem building activities, such as promotional and communication material, awareness campaigns, etc.
Project Communication KitInitial project publicity material consisting of the project website, poster, leaflet and factsheet, as well as the project’s social media accounts (i.e. Twitter, LinkedIn and Facebook);
Pubblicazioni
Autori:
Katerina Valta, Eleni Ntzioni, Filareti Tsalakanidou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Pubblicato in:
The Nature (a magazine of the Hellenic Society for the Protection of Nature), Numero 166, 2020, Pagina/e 28-34
Editore:
Hellenic Society for the Protection of Nature
Autori:
Jun Sun, Steffen Staab, Jerome Kunegis
Pubblicato in:
Computer, Numero 51/6, 2018, Pagina/e 52-60, ISSN 0018-9162
Editore:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/mc.2018.2701640
Autori:
Abhinay Pandya, Mourad Oussalah, Paola Monachesi, Panos Kostakos
Pubblicato in:
Future Generation Computer Systems, Numero 102, 2020, Pagina/e 437-452, ISSN 0167-739X
Editore:
Elsevier BV
DOI:
10.1016/j.future.2019.08.018
Autori:
Hassan Mehmood, Panos Kostakos, Marta Cortes, Theodoros Anagnostopoulos, Susanna Pirttikangas, Ekaterina Gilman
Pubblicato in:
Smart Cities, Numero 4/1, 2021, Pagina/e 349-371, ISSN 2624-6511
Editore:
MDPI
DOI:
10.3390/smartcities4010021
Autori:
Georgios Papastergios, Paraskevi Tzoumaka, Apostolos Kelessis
Pubblicato in:
Bulletin of the Geological Society of Greece, Numero 55/1, 2019, Pagina/e 1, ISSN 2529-1718
Editore:
National Document Centre of Greece
DOI:
10.12681/bgsg.20611
Autori:
Anastasios Papazoglou Chalikias, Ioannis Tsampoulatidis, Filareti Tsalakanidou, Spiros Nikolopoulos, Ioannis Kompatsiaris, Nicos Komninos, Konstantinos Doudouliakis, Georgios Papastergios, Petros Papafilis, Sophia Karkaletsi, Charalampos Chatzis
Pubblicato in:
Data & Policy, Numero 2, 2020, ISSN 2632-3249
Editore:
Cambridge University Press
DOI:
10.1017/dap.2020.15
Autori:
J. Vannieuwenhuyze
Pubblicato in:
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Numero VI-4/W2-2020, 2020, Pagina/e 173-179, ISSN 2194-9050
Editore:
Copernicus Publications
DOI:
10.5194/isprs-annals-vi-4-w2-2020-173-2020
Autori:
Ekaterina Gilman, Satu Tamminen, Rumana Yasmin, Eemeli Ristimella, Ella Peltonen, Markus Harju, Lauri Lovén, Jukka Riekki, Susanna Pirttikangas
Pubblicato in:
Sensors, Numero 20/13, 2020, Pagina/e 3716, ISSN 1424-8220
Editore:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s20133716
Autori:
Jun Sun, Matúš Medo, Steffen Staab
Pubblicato in:
Physical Review E, Numero 101/2, 2020, ISSN 2470-0045
Editore:
American Physical Society
DOI:
10.1103/physreve.101.022309
Autori:
Stuart E. Middleton, Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Yiannis Kompatsiaris
Pubblicato in:
Proc. 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Editore:
ACM
Autori:
Abhinay Pandya, Panos Kostakos, Hassan Mehmood, Marta Cortes, Ekaterina Gilman, Mourad Oussalah, Susanna Pirttikangas
Pubblicato in:
2019 European Intelligence and Security Informatics Conference (EISIC), 2019, Pagina/e 130-133, ISBN 978-1-7281-6735-0
Editore:
IEEE
DOI:
10.1109/eisic49498.2019.9108851
Autori:
Hassan Mehmood, Ekaterina Gilman, Marta Cortes, Panos Kostakos, Andrew Byrne, Katerina Valta, Stavros Tekes, Jukka Riekki
Pubblicato in:
2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), 2019, Pagina/e 37-44, ISBN 978-1-7281-0890-2
Editore:
IEEE
DOI:
10.1109/icdew.2019.00-37
Autori:
Abhinay Pandya, Mourad Oussalah, Paola Monachesi, Panos Kostakos, Lauri Loven
Pubblicato in:
2018 IEEE International Conference on Information Reuse and Integration (IRI), 2018, Pagina/e 62-69, ISBN 978-1-5386-2659-7
Editore:
IEEE
DOI:
10.1109/iri.2018.00017
Autori:
Jun Sun, Steffen Staab, Fariba Karimi
Pubblicato in:
Proceedings of the 10th ACM Conference on Web Science - WebSci '18, 2018, Pagina/e 343-351, ISBN 9781-450355636
Editore:
ACM Press
DOI:
10.1145/3201064.3201084
Autori:
Panos Kostakos, Abhinay Pandya, Olga Kyriakouli, Mourad Oussalah
Pubblicato in:
2018 European Intelligence and Security Informatics Conference (EISIC), 2018, Pagina/e 81-84, ISBN 978-1-5386-9400-8
Editore:
IEEE
DOI:
10.1109/eisic.2018.00022
Autori:
Lu Jiyan, Panos Kostakos, Mourad Oussalah, Susanna Pirttikangas
Pubblicato in:
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018, Pagina/e 1047-1052, ISBN 978-1-5386-6051-5
Editore:
IEEE
DOI:
10.1109/asonam.2018.8508827
Autori:
Rumana Yasmin, Miikka Salminen, Ekaterina Gilman, Juha Petajajarvi, Konstantin Mikhaylov, Minna Pakanen, Arttu Niemela, Jukka Riekki, Susanna Pirttikangas, Ari Pouttu
Pubblicato in:
2018 9th International Conference on the Network of the Future (NOF), 2018, Pagina/e 101-105, ISBN 978-1-5386-8503-7
Editore:
IEEE
DOI:
10.1109/nof.2018.8598127
Autori:
Anastasios Papazoglou Chalikias, Ioannis Tsampoulatidis, Filareti Tsalakanidou, Spiros Nikolopoulos, Ioannis Kompatsiaris, Konstantinos Doudouliakis, Petros Papafilis, Georgios Papastergios
Pubblicato in:
Multi Conference on Computer Science and Information Systems (MCCSIS 2020), 6th International Conference on Connected Smart Cities, 2020, Pagina/e 129-137, ISBN 978-989-8704-19-1
Editore:
IADIS
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