Asset-based solutions
In the past, most community-building efforts focused on what low-income people can’t do for themselves rather than what they can do. FCE takes a different approach, one that is “asset-based” rather than “needs-based.”
FCE recognizes that the most distressed neighborhoods have many people who are talented, resourceful, caring, and determined. We bring them together to figure out what they want for their community and to identify the assets in their midst. We work simultaneously to engage the people and institutions in the city that wield influence and control resources, showing them the mutual benefits to be gained by partnering with their less affluent neighbors.
Conversations about needs involve givers and receivers, winners and losers; conversations about maximizing assets involve equals who collaborate around mutual goals.
Place-based solutions
Poverty exists everywhere, but each community has unique challenges and capabilities. In keeping with FCE’s core belief that solutions must come from within rather than be imposed from without, our approach is place-based. Specifically, we work in South Dallas. While every action we take, every piece of research we do, and every neighborhood we work in provides lessons to make us more effective, we never take a cookie-cutter approach. Effective community empowerment is about relationships, and relationships are largely about listening.
Data-driven solutions
For as long as people have debated the causes and cures of poverty, the discussion has been largely fueled by anecdotes, assumptions, and personal biases. Data, when it was cited, was often aggregated at the county, metro, state, or national level, giving little insight into the reality of particular communities.
FCE and its research arm, the J. McDonald Williams Institute, bring the most rigorous, technologically sophisticated tools to gathering, analyzing and disseminating data about our partner neighborhoods. And that gives our community building a firm factual foundation, supplanting emotion, assumptions and stereotypes.