given the national data platform: what can literacy funders learn from other collaborations?

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Strategies for Seeking Successful Funder/Nonprofit Collaboration Christine Reeves April 30, 2013 Examples from Across the Countr

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Page 1: Given the National Data Platform: What can literacy funders learn from other collaborations?

Strategies for Seeking Successful Funder/Nonprofit Collaboration

Christine ReevesApril 30, 2013

Examples from Across the Country

Page 2: Given the National Data Platform: What can literacy funders learn from other collaborations?

Icebreaker

Page 3: Given the National Data Platform: What can literacy funders learn from other collaborations?

What Does NCRP Do?

• Serves the public good

• Is responsive to communities with the least wealth, power & opportunity

• Is held accountable to the highest standards of integrity & openness

Page 4: Given the National Data Platform: What can literacy funders learn from other collaborations?

My Story

Page 5: Given the National Data Platform: What can literacy funders learn from other collaborations?

Given the National Data Platform:

What can literacy funders learn from other collaborations?

Question

Page 6: Given the National Data Platform: What can literacy funders learn from other collaborations?

1. Quantitative return-on-investment to leverage limited dollars

2. Qualitative storytelling to enhance impact

3. Respond to set-backs adapt nimbly without giving up on success

4. Promote leadership & accountability work collaboratively on a goal to connect multiple

issue silos, grantees, grantmakers & communities 

Goals

Page 7: Given the National Data Platform: What can literacy funders learn from other collaborations?

1. Context

2. Collaboration Strategies (TOP 10)

3. Collaboration Research Tools

4. Discussion

Outline

Page 8: Given the National Data Platform: What can literacy funders learn from other collaborations?

1. ContextWhy we must leverage resources to solve problems

Page 9: Given the National Data Platform: What can literacy funders learn from other collaborations?

$3 Billion ?

$45 Billion ?

$58 Billion ?

Any ideas?

Page 10: Given the National Data Platform: What can literacy funders learn from other collaborations?

$3 Billion Gates Foundation’s Annual Giving

$45 Billion Philanthropic Sector’s Annual Giving

$58 Billion CA’s Annual Education Budget

Limited $ BIG PROBLEMS

Page 11: Given the National Data Platform: What can literacy funders learn from other collaborations?

2. Collaboration Strategies

Page 12: Given the National Data Platform: What can literacy funders learn from other collaborations?

No Silver Bullet, No Panacea

Page 13: Given the National Data Platform: What can literacy funders learn from other collaborations?

Collaboration Breaks Down Silos

Page 14: Given the National Data Platform: What can literacy funders learn from other collaborations?

Silo #1: Measurement Results

Page 15: Given the National Data Platform: What can literacy funders learn from other collaborations?

Silo #2: Bigger Scale Uselfulness

Well-Intentioned Duplication vs

Nuanced Emulation?

Enlargevs

Improve?

Page 16: Given the National Data Platform: What can literacy funders learn from other collaborations?

Silo #3: Diversity Inclusion

Diversity

InclusionTokenism

Page 17: Given the National Data Platform: What can literacy funders learn from other collaborations?

Silo #4: Network Collaboration

Network vs. Collaboration

Mentor vs. Champion

Page 18: Given the National Data Platform: What can literacy funders learn from other collaborations?

Silo #5: Sector Cross-Sector

Page 19: Given the National Data Platform: What can literacy funders learn from other collaborations?

1. Measure vs. Results—is philanthropy the new math?

2. Scale vs. Usefulness—is bigger always better?

3. Diversity vs. Inclusion—culture changing?

4. Network vs. Collaboration—internal/external?

5. Sector vs. Cross-Sector—gov’t, biz, & press?

½ Way

Page 20: Given the National Data Platform: What can literacy funders learn from other collaborations?

Silo #6: Become Include Experts

Page 21: Given the National Data Platform: What can literacy funders learn from other collaborations?

Silo #7: 5% 100%

Page 22: Given the National Data Platform: What can literacy funders learn from other collaborations?

Silo #8: Avoid Address Power Dynamics

Multi-Year Support

General Operating Support

16%

25%

Page 23: Given the National Data Platform: What can literacy funders learn from other collaborations?

What If…

1.8 MillionNonprofits

74,000Foundations

74,000Nonprofits

1.8 MillionFoundations

Page 24: Given the National Data Platform: What can literacy funders learn from other collaborations?

Offenders & Ex-Offenders

People with HIV/AIDS

Single Parents

Racial & Ethnic Minorities

Economically Disadvantaged

Immigrants & Refugees

LGBTQ

Women & Girls

Elderly

Disabled People

Crime & Abuse Victims

Silo # 9: Untargeted Universalism

Page 25: Given the National Data Platform: What can literacy funders learn from other collaborations?

Silo #10: Avoid Use Advocacy

Strategic

Inclusive &

Democratic

Addresses Root Causes of

Problems

High Impact

Social Justice &

Human Rights

Equal

Taboo Untraditional

Hard to Measure

SocialistUnpleasant Messy

ImpoliteRude

Political

?

Page 26: Given the National Data Platform: What can literacy funders learn from other collaborations?

Civic Engagement Community

Organizing

Advocacy/Policy

Self-Help/Education

DirectService

Charity to Social Change

Page 27: Given the National Data Platform: What can literacy funders learn from other collaborations?

145+ Grantmakers

Philanthropy’s Promise

Page 28: Given the National Data Platform: What can literacy funders learn from other collaborations?

6. Become vs. Include Experts– match/regrant/scout?

7. 5% v. 100%–mission-related investments?

8. Avoid v. Address Power–multi-yr & gen op support?

9. Un v. Targeted Universalism–most affected?

10. Avoid v. Use Advocacy–many forms to leverage $?

Second ½

Page 29: Given the National Data Platform: What can literacy funders learn from other collaborations?

3. Research Tools for Collaboration

Page 30: Given the National Data Platform: What can literacy funders learn from other collaborations?

Grantmaking for Community Impact

Page 31: Given the National Data Platform: What can literacy funders learn from other collaborations?

Summary: Leveraging Limited Dollars

Page 32: Given the National Data Platform: What can literacy funders learn from other collaborations?

Findings

• Nonprofits 110

• Funders 327

• Funding input $231 million

• Benefits output $26.6 billion

• R.O.I. $115 to $1

Page 33: Given the National Data Platform: What can literacy funders learn from other collaborations?

Examples

Page 34: Given the National Data Platform: What can literacy funders learn from other collaborations?

Civic Engagement Town Hall

528,880 PeopleCommunicated with Policymakers

for 1st Time

Page 35: Given the National Data Platform: What can literacy funders learn from other collaborations?

R.O.I.> $1.5 Billion Saved

Advocacy/Policy:Grantee Champions Interests of

Marginalized Community

Page 36: Given the National Data Platform: What can literacy funders learn from other collaborations?

Environmentalist Immigrant

Laborer Community Organizer$2.2 Billion

In Benefits

Community OrganizingGrantee Helps Marginalized Communities

Represent Themselves

Page 37: Given the National Data Platform: What can literacy funders learn from other collaborations?

145+ Grantmakers

Philanthropy’s Promise

Page 38: Given the National Data Platform: What can literacy funders learn from other collaborations?
Page 39: Given the National Data Platform: What can literacy funders learn from other collaborations?

4. Collaboration Discussion Who’s doing it? And who isn’t?

Page 40: Given the National Data Platform: What can literacy funders learn from other collaborations?

Strategies for Seeking Successful Funder/Nonprofit Collaboration

Christine ReevesApril 30, 2013

Examples from Across the Country