Aspen is a place for leaders to lift their sights above the possessions which possess them. To confront their own nature as human beings, to regain control over their own humanity by becoming more self-aware, more self-correcting, and hence more self-fulfilling.
In 2022, Strada Education Network (Strada) launched the Employer Community College Partnership (ECCP) challenge to strengthen connections between community colleges and employers.
Strada supported 11 cross-sector collaboratives involving diverse industries and geographies to build partnerships characterized by shared ownership, mutual accountability, and aligned goals. Partners were expected to co-invest time, knowledge, and resources to support student success and meet labor market demands.
As the initiative concluded, Strada engaged UpSkill America to examine what worked and what didn’t. Across the board, we found this: when employers and colleges co-owned the work, committing to shared goals, shared risks, and shared results, the partnerships flourished. When they operated from a distance or treated the relationship as optional, outcomes lagged.
This brief highlights the facilitators of partnership success: key behaviors and strategies that community colleges, employers, and partnership structures used to drive impact.
UpSkill America, an initiative of the Economic Opportunities Program, supports employers and workforce organizations to expand and improve high-quality educational and career advancement opportunities for America’s front-line workers.
About the Economic Opportunities Program
The Aspen Institute Economic Opportunities Program advances strategies, policies, and ideas to help low- and moderate-income people thrive in a changing economy.
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To create a future-ready workforce system, we must move beyond outdated credentials and analog processes to one that is skills-first, transparent, data-driven, and aligned with the evolving needs of workers, educators, and employers.
This publication examines how fragmented skills, credentialing, and workforce data systems limit the potential of skills-based hiring and advancement, and outlines a shared vision for building the interoperable infrastructure needed to create a connected skills ecosystem that benefits workers, employers, educators, and governments.
In this interview, Chelsea Miller of Upskill America speaks with Nick Greif of InStride about how employers can design education benefits that are more accessible, strategic, and aligned with workforce goals.
Putting people at the center of the systems we are building means accepting that career paths are rarely linear. It requires us to build infrastructure that accommodates life transitions, recognizes informal learning, and values a worker’s agency over their own data.
This is the final event in our Job Quality in Practice series. In this conversation, hosted by the Aspen Institute Economic Opportunities Program on May 7, 2026, we hear from the Institute’s Job Quality Fellows who are embedding job quality into their work across a range of contexts and strategies — from employee ownership models that give workers a direct financial stake in their company’s success, to apprenticeship programs that create structured pathways to higher-wage careers, to worker advisory committees that bring employee voice into business decision-making.
Putting people at the center of the systems we are building means accepting that career paths are rarely linear. It requires us to build infrastructure that accommodates life transitions, recognizes informal learning, and values a worker’s agency over their own data.
Back to where we started, AI is not creating one future. It is opening up several. Which one gets created may depend on whether the people closest to the work bring their voice, and name what no one else is naming.
Putting people at the center of the systems we are building means accepting that career paths are rarely linear. It requires us to build infrastructure that accommodates life transitions, recognizes informal learning, and values a worker’s agency over their own data.
