Citizen Science and Living Labs: Same Same but Different?

Transcription

1 [en.wikipedia.org] Citizen Science and Living Labs: Same Same but Different? 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 [openclipart.org] 3 Our interest in public engagement Investigating new forms of: Doing science (incl. Citizen Science) Making policies (incl. E-Democracy) Providing scientific support to policy-making

4 [openclipart.org] 4 Aim of this talk Introducing Citizen Science Sketching central characteristics and challenges Identifying contact points with Living Lab research Initiating discussions across-communities Content of the following slides

5 5 Citizen Science Members of the public [intentionally] engaging in authentic scientific investigations: asking questions, collecting or processing data, and/or interpreting results. [slide by Rick Bonney The Cornell Lab]

6 6 What impact of Science to Citizen? Engaging in the scientific process Gaining Knowledge about scientific concepts Developing Skills of scientific inquiry Changing Attitudes about science and the environment Changing Behaviors regarding science and the environment [slide by Rick Bonney]

7 7 And what impact of Citizen to Science? Define a question/issue Scientist/Technician Public Participants Gather information Develop explanations Design data collection methods Collect samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further [slide by Rick Bonney]

8 7 And what impact of Citizen to Science? Define a question/issue Scientist/Technician Public Participants Gather information Develop explanations Design data collection methods Collect samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further [slide by Rick Bonney]

9 7 And what impact of Citizen to Science? Define a question/issue Scientist/Technician Public Participants Gather information Develop explanations Design data collection methods Collect samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further [slide by Rick Bonney]

10 7 And what impact of Citizen to Science? Define a question/issue Scientist/Technician Public Participants Gather information Develop explanations Design data collection methods Collect samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further [slide by Rick Bonney]

11 7 And what impact of Citizen to Science? Define a question/issue Scientist/Technician Public Participants Gather information Develop explanations Design data collection methods Collect samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further [slide by Rick Bonney]

12 7 And what impact of Citizen to Science? Define a question/issue Scientist/Technician Public Participants Gather information Develop explanations Design data collection methods Collect samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further [slide by Rick Bonney]

13 [

14 [kristencook.com.au] Myth #1 9 Citizen Science is new

15 Myth #1: busted 10 The Raise of Citizen Science (long-term) (Future) Internet Enablement Culture of volunteering History of the public debate [with inputs from Rick Bonney and Sebastiaan ter Burg]

16 Myth #1: busted 11 The Raise of Citizen Science (short-term) [slide by Rick Bonney]

17 Myth #2 12 Citizen science has the goal to engage everybody in science

18 Myth #2: busted 13 Well, it depends on the objective(s) Objective New scientific knowledge Education/awareness raising/capacity building Community building/strengthening Communication/activism Resource sharing (money, time, computing) Methodology Scientifically designed Scientifically designed Community-led None specific Varied collection approaches Projects can have multiple objectives and combine several methodologies.

19 Myth #2: busted 14 And faces some challenges: 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

20 Myth #2: busted 15 And faces some challenges: equity is not easy! [content by Yola Georgiadou - ITC]

21 [ Myth #3 16 Citizen Science is ICT-driven

22 Myth #3: busted 17 Support to pre-existing communities Amplifier to enlarge participation Enabler for new applications

23 More machines Myth #3: busted 18 Connecting the social and the machine Machines empowered by people e.g. mechanical turk People empowered by machines e.g. collective action More [connected] people [graphic by David de Roure - University of Oxford]

24 Myth #4 19 I do Citizen Science if I am scraping Social Media

25 Myth #4: busted 20 Fostering intentional participation in science Reaching out, e.g. to schools Public labs, DIY science Launching surveys, e.g. using hashtags Citizen Science Re-using citizen-generated content for scientific purposes [slide by Rick Bonney]

26 Myth #4: busted 21 This is NOT to say that such projects are irrelevant! Official building use data Overall accuracy: 54%

27 [ Myth #5 22 Citizen Science research happens in isolation

28 Myth #5: busted 23

29 [en.wikipedia.org] Myth #5: busted Citizen Science as a form of active citizenship (behavioral change through science-literacy) 24

30 OK! So what? 25 Citizen Science is embedded in a changing society, science and policy-making landscape Smart citizens, who: participate in their city s daily governance, are concerned about increasing the Quality of Life of their fellow-citizens, and protecting their environment. 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.

31 How to move ahead? 26 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]

32 All have to leave their comfort zones and this is what we do today! 27

33 Thank you for your attention! Final slide, really All have to leave their comfort zones and this is what we do today!

34 Smart Cities + Citizen Science = Smart citizen and next-generation-science [ mike44nh.deviantart.com]