Citizen Science and Smart Cities, or Tomato Soup and Chocolate Cake

Transcription

1 Living Lab for the Internet of Everything Thursday 25 September 2014 Eindhoven, The Netherlands Citizen Science and Smart Cities, or Tomato Soup and Chocolate Cake Sven Schade Institute for Environment and Sustainability Digital Earth and Reference Data Unit Serving society Stimulating innovation Supporting legislation

2 [Dusan Petricic] 2 Organisational Background Serving society Stimulating innovation Supporting legislation

3 JRC Overview 3

4 [facebook.com] 4 Digital Earth and Reference Data Unit What are we doing? INSPIRE: Implementation, Maintenance and Evolution Open Data Strategy of the JRC Big Data impacts on environmental science and policy-making Copernicus, GEOSS, citizen-generated content and commercial data, societal engagement

5 5 Disclaimers This presentation reflects my personal view and not necessarily the view of the European Commission. The overview of Citizen Science, Smart City and related initiatives provides only a partial picture of an extremely rich and blooming landscape. This talk is more about (many) open questions and a few lessons learned than anything else.

6 [openclipart.org] 6 Aim of this talk Introducing Citizen Science, Smart Cities, etc. Providing a glimpse into the blooming landscape Highlighting latest lessons and common issues Initiating discussions across-communities Content of the following slides

7 7 The raise of Big Data Culture of Shared Data The Internet of Everything History of Data Communities

8 A flood of imagery, point clouds and place names 8 514,048 Skype calls 6,388,848 Dropbox files 19,566,471 Google searches 29,236,123 YouTube videos 34,322,697 Facebook likes 1,139,999,544 s in one Second

9 9 The raise of Citizen Engagement Digital Social Innovation Culture of volunteering History of the public debate

10 A glimpse at Citizen Science 10

11 Passive/ Citizen Generated Content Active/ Citizen Contributed Content A Citizen Science topology 11 Engagement Co-created Collaborative Contributory Citizen Science (scientific discovery, policy, education, community building) Crowd Sourcing (tasks, time, money, ) Asks questions before data is collected Asks questions after data is generated Data Mining of Citizen Generated Content (social media, mobile phones, GPS..) Implicitly Geographic Explicitly Geographic

12 [ Digital Social Innovation is not all about science 12 Smart Cities and Smart Citizen [slide by Rick Bonney]

13 A glimpse at Smart Cities 13

14 A glimpse at Living Labs 14 [European Network of Living Labs]

15 Intermediate summary 15 A rich landscape European, US, AUS&NZ Citizen Science Associations Individual cities become networked (Eurocities, Digital Cities, EPIC ) ENoLL and national sub-networks (FR, BRA ) Communities are getting organized (in their silos) Shared conferences, web presence, case studies, tools Unfortunately to date there seems to be little synergy between citizen science and smart cities initiatives, and there is little interoperability and reusability of the data, apps, and services developed in each project.

16 [laurierentrepreneur.ca] So what? 16 2

17 17 Let s start looking at the similarities and core messages [ - MicroAssist]

18 [ - Mike Licht] 1 st message 18 All share the same challenge: How to successfully engage with citizen?

19 2 nd message 19 Nobody really knows how this will evolve

20 Where will they go? It s not about hi-tech but about resilient and robust cities 20 [ [

21 Where will they go? 21 Do not solve problems of yesterday, but accelerate decision-making Applying AGILE and SCRUM methodologies in science and local administration

22 More machines Where will they go? 22 How to connect the social and the machine? Machines empowered by people People empowered by machines More [connected] people [adopted from David de Roure - University of Oxford]

23 Where will they go? 23 Example: visual analytics Dashboards at all scales

24 [exeyber.deviantart.com] 3 rd message 24 All have to find out how to establish trustful relationships with the citizen?

25 [openclipart.org] Trustful relationships 25 Personal data becoming a currency 6

26 [waag.org] Trustful relationships 26 Privacy, ownership and openness/transparency

27 Trustful relationships 27 The era of Laboratories Living Labs, Fab Labs, DIY Science Whole cities as labs Experiments on the Web Research Infrastructures History of experimentation

28 [ mike44nh.deviantart.com] Trustful relationships 28 Allow to disconnect from the lab!

29 [coachdaddyblog.wordpress.com] 4 th message 14 29

30 Do it fair! 30 Equity is easy! Isn t it? [adopted from Yola Georgiadou University of Twente, ITC] [pictures: en.wikipedia.org]

31 Do it fair! 31 Two interpretations of openness Open source software, open data, open science Opening the research sector and scientific community to new participants with diverse (and unknown) backgrounds and skills

32 Do it fair! 32 Data/Information Democracy Are we there yet? [Timo Elliott, SAP]

33 [laurierentrepreneur.ca] Again... so what? 33 2

34 [ 34 This is where we are! Keep getting initiatives closer to each other Help to align where appropriate and desired Crossing borders in Europe, bridging communities and cultures

35 How to move ahead? 35 Foster citizen participation in European science Co-create regional test beds for the analysis and integration of social and environmental data from heterogeneous sources, with a focus on quality of life and well-being Undertake comparative studies, and analyse issues related to scaling up to the European dimension Support citizen science and smart cities projects with our knowledge on semantic interoperability, data models, and interoperability arrangements Partner with ECSA, ENoLL and others in order to contribute to already ongoing interoperability activities [flickr.com. coltera]

36 [pixabay.com] And already for this reason I am happy to be here! 36 21

37 [pixabay.com] And already for this reason I am happy to be here! Final slide, really Thank you for your attention! 21