This document discusses an upcoming project aimed at strengthening civic participation in local communities through open data. The project has three main goals: 1) Involving end users from the 2nd district of Vienna, 2) Understanding community needs using the BEWEXTRA framework, and 3) Advancing relevant technology like discussion platforms and data visualizations. It will develop an urban participation platform piloting how open data can fuel discussion and co-creation. The project runs from November 2016 to April 2019, bringing together experts in knowledge management, visualization, and open data to engage citizens throughout.

1. Open Data for Local Communities:
An upcoming ICT of The Future (FFG)
Project
October 20, 2016 Vadim Savenkov, WU
DI Andrea Mann

2. General Motivation
Strengthen eParticipation in local
communities through Open Data
Make Open Data attractive and
accessible for broader audiences
 Principled approach building on three pillars
1. End user involvement (2nd district of Vienna)
2. Need & Knowledge management (BEWEXTRA Framework)
3. Technology (extend & combine relevant products)
OPEN DATA FOR LOCAL COMMUNITIESSEITE 2

3. I. Understand the needs
 BEWEXTRA based study of user needs and
expectations means to intensify eParticipation
 Living Lab experiment for the local community
members willing to learn about Open Data
 Start with existing tools and datasets and proceed
in an agile fashion
OPEN DATA FOR LOCAL COMMUNITIESSEITE 3

4. Project Asset: GB*2/20
Expertise & Community
FUSSZEILESEITE 4

5. Project Asset: WU Expertise
Knowledge Management & Data processing
FUSSZEILESEITE 5

6. Project Asset: cbased Discuto
SEITE 6

7. II. Advance the Technology
OPEN DATA FOR LOCAL COMMUNITIESSEITE 7
Bring Open Data
where it can make
difference
Make discussion platforms
Open Data aware
http://www.digitaleagenda.wien

8. II: Advance the Technology [2]
 Find relevant datasets based on discussion context
and data entries
OPEN DATA FOR LOCAL COMMUNITIESSEITE 8
 Federated /
distributed search?

9. OPEN DATA FOR LOCAL COMMUNITIESSEITE 9

10. II: Advance the Technology [3]
 Find relevant datasets based on discussion context
and data entries
 Make Open Data more user friendly through
better visualizations and configurable
widgets
 Fuel Co-creation and Participation
 Comments, ratings, requests for data and knowledge
 Means of creating and sharing new datasets
 Share widgets / visualizations / insights!
OPEN DATA FOR LOCAL COMMUNITIESSEITE 10

11. Project Asset: webLyzard
Web Intelligence
FUSSZEILESEITE 11

12. II: Advance the Technology [4]
 Find relevant datasets based on discussion context
and data entries
 Make Open Data more user friendly through
better visualizations and configurable widgets
 Fuel co-creation and participation
 Comments, ratings, requests for data and knowledge
 Means of creating and sharing new datasets
 Share widgets / visualizations / insights!
OPEN DATA FOR LOCAL COMMUNITIESSEITE 12

13. III: Engage citizens
 Involve the Living Lab participants throughout the
project, from requirements formulation to
evaluation of pilots
OPEN DATA FOR LOCAL COMMUNITIESSEITE 13
Make Open Data attractive and
accessible for broader audiences
Strengthen eParticipation in local
communities through Open Data

14. Project Structure
 November 2016 – April 2019 (2,5 years)
OPEN DATA FOR LOCAL COMMUNITIESSEITE 14
/DI Andrea Mann
GB
Funding
Production Management &
Information Business
R&D,
Coordination
Living Lab
R&D Visualization
platform
R&D Discussion
Platforms

15. Project Deliverable
OPEN DATA FOR LOCAL COMMUNITIESSEITE 15
/DI Andrea Mann
GB
Production Management &
Information Business
Urban Participation Platform pilot
fusing Discussions, Open Data & Visualizations

16. Open to collaborations!
Questions?
Comments?
Ideas?
FUSSZEILESEITE 16
Thank you