Offene Daten für Lokale Gemeinden

Projektdetails

Beschreibung

Only a minority of citizens regularly participate in collective decisions or draw on data­ rich evidence to engage in public deliberation processes. Similarly, the set of citizens with the sociotechnical capacity to leverage available Open Data is small. At the same time, governments, developer communities and affected communities remain disconnected: in this context, the CommuniData project aims at nothing less than turning the game upside down; we will enable a data­-driven approach to collective decision making that (i) translates Open Data into actionable knowledge for physical, local communities, (ii) connects administrations and citizens through an integrated knowledge repository that builds on Open Data and related user­ generated content, (iii) provides novel visual tools to navigate and understand patterns this knowledge repository, and (iv) enables communities to leverage, co-create and discuss Open Data to solve e.g. urban sustainability challenges in a collaborative fashion.

Geldgeber*innen

Österreichische Forschungsförderungsgesellschaft FFG
StatusAbgeschlossen
Tatsächlicher Beginn/ -es Ende1/11/1630/09/19

Projektpartner*innen

  • Wirtschaftsuniversität (Leitung)
  • Community Based Innovation Systems GmbH (cbased) (Projektpartner*in)
  • DI Andrea Mann (Projektpartner*in)
  • webLyzard gmbh (Projektpartner*in)

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

  • 102

Schlagwörter

  • Informationswirtschaft
  • QRFA: A Data-Driven Model of Information-Seeking Dialogues

    Vakulenko, S., Revoredo, K., Di Ciccio, C. & de Rijke, M., 2019, 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–18, 2019, Proceedings, Part I. Leif Azzopardi, Benno Stein, Norbert Fuhr, Philipp Mayr, Claudia Hauff, Djoerd Hiemstra (Hrsg.). Cologne, Germany: Springer, S. 541 - 557

    Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

  • An Enactive Theory of Need Satisfaction

    Human, S., Peschl, M., Bidabadi, G. & Savenkov, V., 2018, PT-AI 2017: Philosophy and Theory of Artificial Intelligence 2017. Vincent C. Müller (Hrsg.). Leeds: Springer, S. 40 - 42

    Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

  • Geo-Semantic Labelling of Open Data

    Neumaier, S., Savenkov, V. & Polleres, A., 2018, Proceedings of the 14th International Conference on Semantic Systems (SEMANTiCS). Procedia Computer Science (Hrsg.). Vienna, Austria: Elsevier, S. 9 - 20

    Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

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