Post on 14-Mar-2018
Workshop OutlineFramework for data-driven decision making in cities
Examples of practice
Small group discussion
Large group takeaways
Next steps
Workshop
Goals
● Learn a framework for data
use to solve problems
● Connect framework to your
own practice
● Critically discuss best
practices with peers
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Your
Questions
● Think of 1 question you’d
like to have answered
during the session
● Write it on a post-it
● Bring it up to me and I’ll
collect and categorize them
● We’ll answer them
throughout our session
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We need a way to put ideas into PRACTICE
● The gap remains between
academia and government
● We need to bridge the gap
to implement the best
possible solutions for
residents
● How do we implement
innovative solutions that are
practical?
Articulate:
Naming and framing
your problem
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● Identify your problem
● Engage with stakeholders
● Explore data
● Clearly state your problem
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ARTICULATE
● Identify your problem
● Engage with stakeholders
● Explore data
● Clearly state your problem
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● Identify your problem
● Engage with stakeholders
● Explore data
● Clearly state your problem
ARTICULATE
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● Identify your problem
● Engage with stakeholders
● Explore data
● Clearly state your problem
ARTICULATE
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● Identify your problem
● Engage with stakeholders
● Explore data
● Clearly state your problem
ARTICULATE
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Example of Articulate: Denver, CO
● Analyzed data of repeat
criminals and homeless people
● Recognize pattern of homeless
population frequently using jails,
emergency rooms, and detox
centers for housing
● Built coalition of housing
authorities and criminal justice
professionals to break cycle
Address:
Putting data into action
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● Determine the type of problem
● Analyze Data
● Decide on Action
● Deploy Solution
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Example of Address: Vilnius, Lithuania Helping parents find kindergartens that meet their children's’ needs
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Example of Address: Vilnius, Lithuania
● Finding a kindergarten too
competitive for parents
● City worked with developers
to make app to help parents
find schools easily
● Simply have to enter
information and receive a list
of kindergartens sorted from
shortest to longest waitlist
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Assess:
Evaluating success and
planning next steps
● Evaluate success
● Plan for adjustments
● Put adjustments into
action
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Example of Assess: Portland, ORUsing data to inform decisions on how to address housing affordability
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Example of Assess: Portland, OR
● Improving the Government
Accountability,
Transparency, and Results
(GATR) in its tackling of
affordable housing
● By focusing on factors other
than permitting process,
implemented more
comprehensive housing
affordability strategy
Workshop and
small group
discussion
● Does this framework reflect
your approach to using data?
● What approach should you
use when using data to solve
problems?
● How could you put this into
action in your work...
○ Tomorrow?
○ In one month?
○ In 6 months?
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Next Steps● Determine how to apply in your context
● Network with your peers to find commonalities
● Get in touch with GovEx for further support
govex.jhu.edu