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Coastal Urban developmenT through the LEnses of Resiliency

Deliverables

Optimized methodologies, tools and visualization widget for assessing the environmental impact

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 consequences

Optimized 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 widget

Report 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 meaningful

D6.2 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 dashboard

Update 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 terms

In 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 interfaces

Optimized 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 meaningful

D5.2 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 architecture

Further 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 dashboard

Software 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 activity

D4.3 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 data

Software 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 architecture

Update 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.

Policy Briefs

Reports addressed to the policy makers of DG CNECT that will follow a prespecified template addressing questions related to policy making

Legal requirements

D1.2 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 Results

D7.2 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 assessment

Detailed 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 Model

D7.3 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 plan

The updated version of D11.2 including new datasets.

Legal taxonomy of data sets

D1.1 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 terms

D4.1 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 plan

Report 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 description

D2.4 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 sets

Update 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 impact

D5.1 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 requirements

Updated 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 anonymization

Summarize 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 CUTLER

D7.1 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 pilots

D7.4 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 design

Report 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 analysis

D6.1 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 infrastructure

D2.1 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 administration

Summarize 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.

Data management plan

Determine the strategy by which part of the generated data will be made open for maximizing their re-use.

Engagement strategies – plan and material

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 Kit

Initial 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);

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Publications

Promoting urban sustainable development through the assessment of the environmental, economic and social policy impact based on ICT technologies: The case of the CUTLER project (Προώθηση της αστικής βιώσιμης ανάπτυξης μέσω εκτίμησης του περιβαλλοντικού, οικονομικού και κοινωνικού αντικτύπου με χ

Author(s): Katerina Valta, Eleni Ntzioni, Filareti Tsalakanidou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Published in: The Nature (a magazine of the Hellenic Society for the Protection of Nature), Issue 166, 2020, Page(s) 28-34

Understanding Social Networks Using Transfer Learning

Author(s): Jun Sun, Steffen Staab, Jerome Kunegis
Published in: Computer, Issue 51/6, 2018, Page(s) 52-60, ISSN 0018-9162
DOI: 10.1109/mc.2018.2701640

On the use of distributed semantics of tweet metadata for user age prediction

Author(s): Abhinay Pandya, Mourad Oussalah, Paola Monachesi, Panos Kostakos
Published in: Future Generation Computer Systems, Issue 102, 2020, Page(s) 437-452, ISSN 0167-739X
DOI: 10.1016/j.future.2019.08.018

Concept Drift Adaptation Techniques in Distributed Environment for Real-World Data Streams

Author(s): Hassan Mehmood, Panos Kostakos, Marta Cortes, Theodoros Anagnostopoulos, Susanna Pirttikangas, Ekaterina Gilman
Published in: Smart Cities, Issue 4/1, 2021, Page(s) 349-371, ISSN 2624-6511
DOI: 10.3390/smartcities4010021

Indoor and Outdoor Air Pollution Monitoring Developments in the Municipality of Thessaloniki – Preliminary Actions from Three European Funded Projects

Author(s): Georgios Papastergios, Paraskevi Tzoumaka, Apostolos Kelessis
Published in: Bulletin of the Geological Society of Greece, Issue 55/1, 2019, Page(s) 1, ISSN 2529-1718
DOI: 10.12681/bgsg.20611

Evidence-driven policy-making using heterogeneous data sources—The case of a controlled parking system in Thessaloniki

Author(s): Anastasios Papazoglou Chalikias, Ioannis Tsampoulatidis, Filareti Tsalakanidou, Spiros Nikolopoulos, Ioannis Kompatsiaris, Nicos Komninos, Konstantinos Doudouliakis, Georgios Papastergios, Petros Papafilis, Sophia Karkaletsi, Charalampos Chatzis
Published in: Data & Policy, Issue 2, 2020, ISSN 2632-3249
DOI: 10.1017/dap.2020.15

DASHBOARDS FOR INPUT-EVALUATION OF POLICY PROGRAMS: LESSONS LEARNED FROM AN ANTWERP DASHBOARD FOR GARDEN STREETS

Author(s): J. Vannieuwenhuyze
Published in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue VI-4/W2-2020, 2020, Page(s) 173-179, ISSN 2194-9050
DOI: 10.5194/isprs-annals-vi-4-w2-2020-173-2020

Internet of Things for Smart Spaces: A University Campus Case Study

Author(s): Ekaterina Gilman, Satu Tamminen, Rumana Yasmin, Eemeli Ristimella, Ella Peltonen, Markus Harju, Lauri Lovén, Jukka Riekki, Susanna Pirttikangas
Published in: Sensors, Issue 20/13, 2020, Page(s) 3716, ISSN 1424-8220
DOI: 10.3390/s20133716

Time-invariant degree growth in preferential attachment network models

Author(s): Jun Sun, Matúš Medo, Steffen Staab
Published in: Physical Review E, Issue 101/2, 2020, ISSN 2470-0045
DOI: 10.1103/physreve.101.022309

Location Extraction from Social Media: Geoparsing, Location Disambiguation and Geotagging

Author(s): Stuart E. Middleton, Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Yiannis Kompatsiaris
Published in: Proc. 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Privacy preserving sentiment analysis on multiple edge data streams with Apache NiFi

Author(s): Abhinay Pandya, Panos Kostakos, Hassan Mehmood, Marta Cortes, Ekaterina Gilman, Mourad Oussalah, Susanna Pirttikangas
Published in: 2019 European Intelligence and Security Informatics Conference (EISIC), 2019, Page(s) 130-133
DOI: 10.1109/eisic49498.2019.9108851

Implementing Big Data Lake for Heterogeneous Data Sources

Author(s): Hassan Mehmood, Ekaterina Gilman, Marta Cortes, Panos Kostakos, Andrew Byrne, Katerina Valta, Stavros Tekes, Jukka Riekki
Published in: 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), 2019, Page(s) 37-44
DOI: 10.1109/icdew.2019.00-37

On the Use of URLs and Hashtags in Age Prediction of Twitter Users

Author(s): Abhinay Pandya, Mourad Oussalah, Paola Monachesi, Panos Kostakos, Lauri Loven
Published in: 2018 IEEE International Conference on Information Reuse and Integration (IRI), 2018, Page(s) 62-69
DOI: 10.1109/iri.2018.00017

Decay of Relevance in Exponentially Growing Networks

Author(s): Jun Sun, Steffen Staab, Fariba Karimi
Published in: Proceedings of the 10th ACM Conference on Web Science - WebSci '18, 2018, Page(s) 343-351
DOI: 10.1145/3201064.3201084

Inferring Demographic Data of Marginalized Users in Twitter with Computer Vision APIs

Author(s): Panos Kostakos, Abhinay Pandya, Olga Kyriakouli, Mourad Oussalah
Published in: 2018 European Intelligence and Security Informatics Conference (EISIC), 2018, Page(s) 81-84
DOI: 10.1109/eisic.2018.00022

SemanPhone: Combining Semantic and Phonetic Word Association in Verbal Learning Context

Author(s): Lu Jiyan, Panos Kostakos, Mourad Oussalah, Susanna Pirttikangas
Published in: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018, Page(s) 1047-1052
DOI: 10.1109/asonam.2018.8508827

Combining IoT Deployment and Data Visualization: experiences within campus maintenance use-case

Author(s): Rumana Yasmin, Miikka Salminen, Ekaterina Gilman, Juha Petajajarvi, Konstantin Mikhaylov, Minna Pakanen, Arttu Niemela, Jukka Riekki, Susanna Pirttikangas, Ari Pouttu
Published in: 2018 9th International Conference on the Network of the Future (NOF), 2018, Page(s) 101-105
DOI: 10.1109/nof.2018.8598127