[4] The concept of collective impact hinges on the idea that in order for organizations to create lasting solutions to social problems on a large-scale, they need to coordinate their efforts and work together around a clearly defined goal.
[10] Partners in Progress (PIP), an initiative of the Citi Foundation and the Low Income Investment Fund, supports a broad range of projects that use a collective impact approach to address the issues of poverty and urban transformation.
[23] More than 50 communities have contributed neighborhood data, mobilized local leaders, launched advocacy campaigns and started multi-sector partnerships to demand federal-level policy changes to fund “cradle to college” programs nationwide.
[25] Corporate CEOs, small business leaders, non-profit and social-sector executives, government officials and community service practitioners have made contributions to the evolving concept in the form of insights, feedback and critique.
[29] Pointing out several well-known case studies that underscore a real need for increased grassroots advocacy efforts, many critics believe Kania & Kramer conducted inadequate research before designing their model.
[23] With high demand for adding a new equity frame to the original framework, Living Cities has partnered with The Collective Impact Forum to work exclusively on reforming the model for this purpose.
[31] Founders Kania & Kramer, as well as organizations like PolicyLink, Aspen Forum for Community Solutions and Urban Strategies Council have also joined this effort, signaling that opinions from the field have been taken seriously, helping the concept adapt and grow with transparency and flexibility.
[32] Ongoing discussions and updates are viewable at the Collective Impact Forum website where public input and participation is encouraged as CI continues to evolve with increased attention to community needs.
[31] Founding authors Kania and Kramer have responded to critics expressing appreciation for their interest and perspective on the topic, encouraging their continued input throughout the process to refine the model.