London School of Economics and Political Science (UK) launched an innovative civic engagement project, which aimed to crowd source the United Kingdom Constitution. One of the key intentions of the project was to leverage and magnify the power of the community and the ‘massive’ in order to empower.
By Peter Bryant, London School of Economics and Political Science. Presented at Crowdsourcing Week Global 2016. Learn more and join the next event: www.crowdsourcingweek.com
Crowdsourcing the UK Constitution: Digital Citizenship and Civic Engagement in a Post-Digital Age
1. Crowdsourcing the
UK Constitution:
Digital Citizenship &
Civic Engagement
in a Post-Digital Age
Peter Bryant
@peterbryantHE
Head of Learning Technology and Innovation
London School of Economics and Political Science, UK
10. Combination of learning approaches
Integrating participatory practices
Engaged individuals and groups
No readings, no course,
No lecturer, no teacher, maybe a guru
No sequence, enter at any time
Learning was an expectation
Learning through practice, debate and citizenship
What we built
https://www.flickr.com/photos/leolondon/451273331
11. Where we finished
over 1500 users;
over 725 idea submissions;
over 125000 idea views;
over 10000 comments;
over 25000 votes cast;
an 8500 word constitution;
from more than 1m words written.
Over 75% learnt something and 88&% were influenced by the community
Participation went up across the project not DOWN https://www.flickr.com/photos/stephen_downes/1470015134
14. What happens when you empower a community to learn and
engage in social change?
Does this build an informed digital citizenry?
Can this be more than civic engagement? Problem solving,
capacity development or change?
And that’s what is next…
Editor's Notes
Lots of caveats and learning points:
1500 Users
Conversion rate of 9.35% is impressive – 100/(15991*1497)
Possibly higher, once taken into account single user + multiple devices
Geography
England ~89%
Scotland ~ 7%
Wales ~3%
NI <1%
Gender
70% Male
30% Female
Age
18-24 – 8.6%
25-34 – 23.53%
35-44 – 15.01%
45-54 – 17.19%
55-64 – 13.02%
+65 – 22.65%
700 Ideas - duplicate ideas, conflicting ideas, irrelevant ideas:
Voting resulted in ~50% sift of ideas
Engagement stats are good:
20% of total sessions >10mins
9% of total sessions >30mins
45% of sessions >5page views,
28% >10
20% >15
16% >20
Massive was at the core of the design
Redefine what massive means
...in number.
...in representation.
...in activity.
...common experience
How do you leverage the massive as more than a number? How do realise that the whole is greater than the sum of its parts?
earning elements of project not obvious, but visible to user & essential to success:
76% had expectations of learning elements
75-85% learned at least a little about topic areas, 51% some or a lot
88% were influenced by community discussion in their contributions / responses (22% often, 66% sometimes)
50% changed their mind on how citizens can engage in / collaboratively create change in politics
60-80% gained at least some skills, 40-60% somewhat or a lot
strong association between being influenced by community responses and gaining skills → the model at work?
further tests needed, but data points towards learning as crucial to engagement strategy & success of project
Many MOOCs are massive only in terms of numbers
How do you leverage skills and experience, along with collective intelligence and debate?
Using the massive to engage in ‘Open Social Research’ and informed learning
No beginning or ending/opening the structure
Opening knowledge and learning to the community
Digital citizenship as open as the modes of engagement
Opening the academy
Embracing non-linearity
Open/open not open/closed