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 Contributes over $800billion to the economy  5.5% of the GDP in US, 6.8% of GDP in Canada  3rd largest workforce  Emp...
 58,000+ veterans homeless each night  218,000,000+ kids in child labor  1,000,000+ kids die from starvation  36 footb...
 Climate change  Immunization  Education
 Hard to measure many outcomes  No standardization of processes, content  Expensive  No one wants to pay for it  So m...
 Who has access to resources for data?  Who defines methodology?  Who interprets finding?  Who determines standards?
 Look at contexts surrounding data  Combine qualitative with quantitative  Combine data with community engagement  Ree...
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
The role of data in equity and social justice - The Digital Nonprofit with Vu Le
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The role of data in equity and social justice - The Digital Nonprofit with Vu Le

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The nonprofit sector has seen an increased focus on data, metrics, outcomes, etc. Some of this is due to the complex nature of our work and the difficulty of defining success. The focus on data is an attempt to tame the chaos. However, data can be both very helpful, or very detrimental to the work. The narrow definitions of what constitutes good data and outcomes, for example, can leave many marginalized communities behind. We need to understand how and when to use data, who uses it, and how to apply the lens of equity in looking at data.

Published in: Presentations & Public Speaking
License: CC Attribution License
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  • Vu, I am interested in connecting when I am in Seattle later this week. I did a presentation on the data that DVI (my company) has been collecting over the years around the flow of $$ in the charity space and reported metrics around use of proceeds. I am trying to better showcase how data-driven decision making can actually shift the way the "business of philanthropy" is done in North America.
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The role of data in equity and social justice - The Digital Nonprofit with Vu Le

  1. 1.  Contributes over $800billion to the economy  5.5% of the GDP in US, 6.8% of GDP in Canada  3rd largest workforce  Employs 10% of all workers in US, 12% in CA  Over 15,000,000,000 volunteer hours  Increasing growth Source: nonprofitquarterly.org, sectorsource.ca
  2. 2.  58,000+ veterans homeless each night  218,000,000+ kids in child labor  1,000,000+ kids die from starvation  36 football fields of rainforest lost per minute
  3. 3.  Climate change  Immunization  Education
  4. 4.  Hard to measure many outcomes  No standardization of processes, content  Expensive  No one wants to pay for it  So much data in nonprofit sector is crap  Used to hoard resources
  5. 5.  Who has access to resources for data?  Who defines methodology?  Who interprets finding?  Who determines standards?
  6. 6.  Look at contexts surrounding data  Combine qualitative with quantitative  Combine data with community engagement  Reexamine comparison groups  Reexamine agency/causes

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