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 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.
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.
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 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.
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 the reference architecture and IoT interfaces based on the feedback received during the execution of the pilots.
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.
Further elaborate on the output of D3.2 so as to offer a solution that will be fully integrated with CUTLER architecture.
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.
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.
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 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
D1.2 will outline the legal requirements and provide detailed guidance in terms of the implementation of the potential innovations developed during the project.
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.
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
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.
The updated version of D11.2 including new datasets.
D1.1 will provide a legal taxonomy of the datasets relevant for the project in order to map the applicable legal frameworks (M4).
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 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.
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 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.
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.
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.
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;
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.
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 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.
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.
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.
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.
Plan with all details that are necessary to carry out the ecosystem building activities, such as promotional and communication material, awareness campaigns, etc.
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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