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Landscape for Data-Driven Impacts
1
“We are used to using data to justify
funding decisions. Now we can use
data to improve what we do.”
- Bill Thorland, VP of Evaluation, Nurse Family
Partnership
Life-altering Realization #1:
Governments and nonprofits were
ill-equipped to use data in support
of their missions
Data is Hard and Hyped
Gartner
The “New” Problem:
Lack of Data Infrastructure for Identifying,
Improving, and Investing in Impact
SOCIAL
SERVICE
DATA
Data-Driven
Action
Lack of Internal
Analytics Capacity
Lack of Standard Metrics
and Algorithms
Data Silos Within and
Across Verticals
Life-altering Realization #2:
Disconnects in the Data
Ecosystem will hinder sustainable
Social Sector Capacity Building
GOVERNMENT
VOLUNTEER
DATA
COMMUNITY
Nonprofits &
Community
Organizations
FOUNDATIONSIndustry
UNIVERSITIES
Collaboratively Develop
Data Standards &
Interoperable Tools
Provide Technical
Assistance and Change
Management Services
Define Shared Needs
Assessment & Use
Case Discovery
The Data Ecosystem
Life-altering Realization #3:
To Maximize Value of Data the
Social Sector needs Open
Solutions for Data-Driven Impact
Lets Collaborate on Open Solutions
to Power Data-driven Action and
Investment for Social Impact
SOCIAL
SERVICE
DATA
Data-
Driven
Action
Provide Intuitive Views to
Outcomes and Support
Existing BI Tools
Provide Standard Outcomes,
KPIs, and Advanced Analytics
Provide Vendor-neutral
Platform for Secure Data
Access and Integration
GOVERNMENT
VOLUNTEER
DATA
COMMUNITY
Nonprofits &
Community
Organizations
FOUNDATIONSIndustry
UNIVERSITIES
Key Takeaway: All is Not Lost!
Let’s Connect!!
Natalie Evans Harris
natalieme30@gmail.com
FOLLOW-UP SLIDES (BONUS)
Three Links in the Chain of Data for Good
Disconnected
Data
Lasting Systems
Change and
Measurable
Impact
Technical Assistance
and Change
Management Services
Collaborative
Development of Data
Standards &
Interoperable Tools
Shared Needs
Assessment &
Use Case
Discovery
Identify
Needs
Target
Opportunities
Evaluate
Options
Take
Acti
on
Understand
Impact
Data and
Decision Making
Description
Prediction
Detection
Detection
Prediction
Evaluation
Evaluation
Description
Target Markets
Education,
Training, and
Employment
Homelessness
and Criminal
Justice
Health and
Human
Services

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Owod 02-1-natalie harris government data

Editor's Notes

  1. Thanks to legislation and policies such as the Open Data policy, the TALENT Act, the Evidence-based Policy Commission and many more, we have witnessed an explosion of civic technologists focused on opening up data, developing technology to effectively leverage data, guiding leaders /policy-makers in using data to inform policy decisions at all levels of government, and transforming the way services are delivered to citizens and communities.  
  2. This was my first motivating frustration: that governments and nonprofits seemed ill-equipped to use data in support of their missions. So I set out to change that. Went to the University of Chicago to set up a program that would get more data scientists and technologists working with nonprofit service providers and governments.
  3. To add another complication, there is a lot of hype around Data Science in the last few years. And that means that you need to manage expectations, both internally and externally. It’s easy to get peopled over-excited, but tricky to deliver, and so that’s not a great spot to be in.
  4. Data driven policy making, how does nexus of power shifting to states, but without money and resources to do anything. How do we encourage continued efforts and best practices and get others to adopt? 1x to 10x. Alternatives: Lacks infrastructure that leads to the connecting of investment to impact …action to impact …identify, improve, and invest in impact
  5. This was my first motivating frustration: that governments and nonprofits seemed ill-equipped to use data in support of their missions. So I set out to change that. Went to the University of Chicago to set up a program that would get more data scientists and technologists working with nonprofit service providers and governments.
  6. Even with the shifting of politics, the ability to drive impact with data remains. Now we entered a new phase in data evolution. A time where the nexus of power and influence is shifting to states and as they continue to do more with fewer resources, the talents of civic-focused data scientists and technologists are needed now more than ever to build out the data infrastructure necessary to ensure citizens receive equitable access to the innovations the data-driven policy-making brings to communities.
  7. This was my first motivating frustration: that governments and nonprofits seemed ill-equipped to use data in support of their missions. So I set out to change that. Went to the University of Chicago to set up a program that would get more data scientists and technologists working with nonprofit service providers and governments.
  8. To make impact permanent and ubiquitous, governments and nonprofits needed products with consistent data exchange standards, open source infrastructure, and transparent methods and algorithms.
  9. Even with the shifting of politics, the ability to drive impact with data remains. Now we entered a new phase in data evolution. A time where the nexus of power and influence is shifting to states and as they continue to do more with fewer resources, the talents of civic-focused data scientists and technologists are needed now more than ever to build out the data infrastructure necessary to ensure citizens receive equitable access to the innovations the data-driven policy-making brings to communities.
  10. To make impact permanent and ubiquitous, governments and nonprofits needed products with consistent data exchange standards, open source infrastructure, and transparent methods and algorithms.