Rezultaty
First release of a visually engaging hands-on manual (fit for web use and publication), with a script of an accompanying short video, focused on big and open data use in policy making.
PoliVisu Playbox 3 Pilot Scenarios1 set of scenarios for each of the pilot cities
Experimental dimension of policy making The PoliVisu policy making model (FINAL) Updated Business and Exploitation Plan 2Revised plans for exploitation of PoliVisu outputs.
Standards White Paper Ed. 2Second edition of standards white paper
Project Vision Update 2Updated vision
Technical Integration PlanPlan that outlines the envisioned architecture and the activities that need to be undertaken to ensure successful integration of all the individual elements.
Technical Testing Report 3 Policy experimentation and functional design 1This will be a requirement document that translate the local policy decision needs into functional design to hand over to WP4.
The PoliVisu policy making model (DRAFT) Standards White Paper Ed. 33rd edition of standards white paper
Evaluation PlanPlan outlining the monitoring techniques and evaluation methodology including a schedule for data collection.
Business and Exploitation Plan 1Plans for exploitation of PoliVisu outputs including any joint commercialisation activities related to PoliVisu’s technical tools.
PoliVisu Playbox 2 Recommendation for future deployments (It. 3) Policy experimentation and functional design 3 Big & Open Data Use in Policy Making Manual (Final)Final release
Technical Testing Report 2 PoliVisu Playbox 1The outcomes from PoliVisu packaging the tools and methodologies for policy experimentation in an engaging and easy-to-adopt manner.
Baseline Analyses1 baseline analysis for each of the pilot cities
Data Literacy Survey Report Policy Network Canvas Report Recommendation for future deployments (It. 2) Project Vision Update 1Updated vision
Metadata SpecificationsThis technical document describes the metadata requirements (incl. use of standards) for successful application of technical components in policy making processes and tools. The report will also document the gap between those requirements and the most popular open source metadata software.
Final Evaluation Report Standards White Paper Ed. 1First edition of standards white paper
Privacy rules and data anonymization (White Paper FINAL)Peer reviewed white paper.
Technical Testing Report 1 Experiment driven policy making: pitfalls and suggestions for Public Administrations Policy experimentation and functional design 2 Project VisionOne page deliverable summarising the results of the project visioning process.
Recommendation for future deployments (It. 1)Specific recommendations for refinements of the pilot solutions based on the regular monitoring and assessment of the impact of PoliVisu solutions on the policy making process in the pilots.
Updated Business and Exploitation Plan 3Revised plans for exploitation of PoliVisu outputs.
Policy implementation and compliance report Policy experimentation and functional design 4 Privacy rules and data anonymization (White Paper DRAFT) Impact Enhancement RoadmapAn overarching strategy to ensure dissemination, communication and exploitation plans are linked and executed in harmony. Initial versions of each of the three plans will be included here.
Technical SpecificationsThis technical report describes the overall architecture and how the different components interact. The main purpose of the document is to define best practices and standards for integrating the different technical components in policy making processes and tools.
Final Report PoliVisu Training ModuleTraining materials including slides, videos, and interactive exercises for building skills in using data for policy making
Fully functional Platforms that are ready to be piloted by each one of the three cities.
the DPM update
Data Management Plan (Iter. 1)DMP describes the data management life cycle for all data sets that will be collected, processed or generated by the research project. It is a document outlining how research data will be handled during a research project, and even after the project is completed, describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved. The DPM will be defined at very early stage of the project and will be updated continuously with new submissions at M12, M24 and M36.
Data Management Plan (Iter. 2)the DMP update
Data Management Plan (final)updated DPM - final version
Publikacje
Autorzy:
Karel Jedlicka, Daniel Beran, JanMartolos, František Kolovský, Michal Kepka, Tomáš Mildorf, JanSháněl
Opublikowane w:
2020
Wydawca:
8th International Conference on Cartography and GIS
Autorzy:
Susie Ruston McAleer, Pavel Kogut, Lieven Raes
Opublikowane w:
International Conference on Internet Science, 2018, Strona(/y) 137-152
Wydawca:
Springer International Publishing
DOI:
10.1007/978-3-319-77547-0_11
Autorzy:
Grazia Concilio, Paola Pucci, Giovanni Vecchio, Giovanni Lanza
Opublikowane w:
2019
Wydawca:
Computational Science and Its Applications – ICCSA 2019
DOI:
10.1007/978-3-030-24296-1_17
Autorzy:
Grazia Concilio, Paola Pucci, Lieven Raes, Geert Mareels
Opublikowane w:
Springer briefs in applied sciences and technology - PoliMi Springer Briefs, 2021, Strona(/y) 124, ISBN 978-3-030-63693-7
Wydawca:
Springer - Nature / Politecnico Di Milano
DOI:
10.1007/978-3-030-63693-7
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