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Wireframes
Organisational structure
Independent, not-for-profit focused on developing the
tools for the collection and open publicatio...
Principles
!
• Focus on data collection and publication	

• Anonymous reporting	

• Host data as a third party	

!
Data
Cloud
APIPrivate Public
Push
@twitter
Facebook
Potential drivers of use (hypotheses)
• Age - older people may be more active in reporting but less
likely to use a mobile...
Potential user types
Concerned
Citizen	

!
Sees the aftermath of the
crime	

!
Sue, 35	

!
Taking her daughter to
school a...
Working through partners
Local
Councils
!
Local
Universities
!
Local NHS
trusts
!
Audience Information Method Frequency Responsibility
15 to 25 About the app	

Citizens duty Flyers, emails quarterly
Colle...
Some ongoing questions
Using photos	

!
+ -
• Verifies reporting claim 	

• Directs attention to
specific incident (damage,
...
Some ongoing questions
Gamification	

!
+ -
• Potential to engage
different groups for
longer	

• Potential for over-
repor...
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CitSocSci unreported crime prototype walkthrough

A prototype developed by one of the team at the Citizen Social Science Swarm at end of March 2014

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CitSocSci unreported crime prototype walkthrough

  1. 1. Wireframes
  2. 2. Organisational structure Independent, not-for-profit focused on developing the tools for the collection and open publication of (previously) un(der)reported crimes. ! Relationship with the police force • Completely independent • Police can use the database like anyone else • This will hopefully generate trust and credibility amongst users !
  3. 3. Principles ! • Focus on data collection and publication • Anonymous reporting • Host data as a third party !
  4. 4. Data Cloud APIPrivate Public Push @twitter Facebook
  5. 5. Potential drivers of use (hypotheses) • Age - older people may be more active in reporting but less likely to use a mobile app ! • Communities with history of police tension may be more sceptical of the app and how the data will be used ! • Home owners may be more interested in reporting neighbourhood crime ! ! !
  6. 6. Potential user types Concerned Citizen ! Sees the aftermath of the crime ! Sue, 35 ! Taking her daughter to school and notices dumping a mattress. ! Uses the app to report the incident on her way back home ! Victim ! Victimised by crime ! Barry, 50 ! Barry has found graffiti painted on his house. ! He uses a the app to submit a picture with a date / time / location Witness to Crime ! Sees the crime in progress ! Martha, 74 ! Has just purchased a smart phone. ! She’s witnessed antisocial behaviour
  7. 7. Working through partners Local Councils ! Local Universities ! Local NHS trusts !
  8. 8. Audience Information Method Frequency Responsibility 15 to 25 About the app Citizens duty Flyers, emails quarterly Colleges and Universities, Student Union 25 to 35 Purpose of the app Neighbourhood Watch, NHS, Local Council Quarterly Local Council 36 to 45 Purpose of the app Neighbourhood Watch, NHS, Local Council Quarterly Council Authorities, Police Comissioners 46 to 55 Purpose and benefit of the app Neighbourhood Watch, NHS, Local Council Quarterly Council Authorities, Police Comissioners 55 and older Purpose and benefit of the app Neighbourhood Watch, NHS, Local Council Quarterly Council Authorities, Police Comissioners Working through partners
  9. 9. Some ongoing questions Using photos ! + - • Verifies reporting claim • Directs attention to specific incident (damage, etc.) • Potential to identify perps ! • Potential for abuse • Potential for defamation • Associated loss of credibility !
  10. 10. Some ongoing questions Gamification ! + - • Potential to engage different groups for longer • Potential for over- reporting • Potential to increase the wrong behaviour !

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