> ## Content Index > Fetch the complete content index at: https://www.intospatia.xyz/llms.txt > Use this file to discover other available public pages before exploring further. # 5 · Coming Home - URL: https://www.intospatia.xyz/5-coming-home/ - Published: 2026-09-22T13:00:44.000Z - Updated: 2026-09-22T13:00:44.000Z - Author: Michael Robbins > From the digital backpack to AI by, for, and of We the People > The next attempt inherits what the last one learned. In the summer of 2013, I traveled to Chicago. I was working in the Obama administration’s Department of Education at the time, spearheading initiatives on faith-based and community partnerships. The Mayor’s office in Chicago and the MacArthur Foundation had launched something I wanted to see in person. They called it the Chicago Summer of Learning. The initiative brought learning opportunities across Chicago into a common frame: schools, libraries, museums, community organizations, and online programs. Young people could earn digital badges; micro credentials that made some of that learning visible beyond the place where it happened. The ambition was a teens that could recognize learning across a city’s institutions. What I saw that summer made me want to be part of the next phase. The participation was real. The work showed that a city could connect learning in ways that no single school or program could accomplish alone. It also raised the question that has stayed with me: who would hold the infrastructure over time? This chapter sits between the Spatia trilogy and the Cyberwealths trilogy, and its work is to ground the argument so far in that prototype. The Spatia trilogy described the civic terrain of the AI era — place as cognitive infrastructure, learning as the constitutive activity of personhood and community. Cities of Learning was a real attempt to build that kind of terrain at scale, and the honest story of what it built, what it was missing, and what comes next sets up the question the next trilogy has to answer: what kind of cooperative ownership architecture lets civic-scale infrastructure outlast its founders’ interest, so the people whose lives generate the value of the AI era can own the systems they help make valuable. ### What Cities of Learning was building The premise was that a city itself could be a learning ecosystem. Schools were one part of that ecosystem; libraries, museums, parks, community centers, after-school programs, civic organizations, internships, summer jobs, online courses, and informal apprenticeships were the other parts. A young person’s learning happened across all of them, not only inside school walls, and most of that learning was not recognized in any formal way. There was no portable record of it, no way for the young person to carry out-of-school experience into a college application or a job interview, and no way for the city to see, in any aggregated form, what its young people were doing or learning. The Connected Learning framework that anchored the initiative, developed by Mizuko Ito and a network of researchers at the University of California, Irvine, started from the observation that the most powerful learning happens when interest, peer relationships, and meaningful production come together — when a young person’s passion connects to an actual community of practice and an actual chance to make something the world recognizes. Schools by themselves can rarely produce that combination. Cities, taken as full ecosystems, can. Mozilla’s Open Badges standard provided a way to issue a credential with information about its issuer, criteria, and evidence. A portable format could help a learner carry that record elsewhere. Portability did not guarantee universal recognition, permanent hosting, or control over every service handling the record. Those remained institutional and implementation questions. This is the civic terrain the Spatia trilogy describes, in early operational form. Place as cognitive infrastructure: the city as a learning environment rather than a backdrop. Learning as the constitutive activity: the young person’s development as the load-bearing concern, not a downstream effect of other policies. Connected learning rather than enclosed schooling. By the standards of what civic-scale learning experiments had previously attempted, it was a substantial accomplishment. By the standards of what the AI era is about to require, it was a prototype. ### Young people are not future people Young people are not future people. They are already people, capable of meaningful work, contribution, judgment, and growth. There is a claim implicit in everything Cities of Learning was trying to do, and it has to be made explicit, because the same claim runs through everything this book argues for the AI era. One of the deepest failures of modern education is structural: in its dominant form it treats the young person as someone in preparation for a life that has not yet started. The badges and credentials and assessments measure progress toward that future life. The institutional architecture holds the young person in place until the future life is ready to receive them. Until then, the young person is, in some structural sense, waiting. The answer is not simply to make teens into adults sooner. The argument is not that schools should accelerate young people into responsibilities they are not ready for, or that adolescence is a wasted state to be exited as fast as possible. It is narrower and more demanding: the institutional default should not be holding the young person in place. It should be helping the young person become a trusted contributor as early and as substantively as they can be one. The work they do, the things they make, the people who mentor them, and the public record of what they have learned and contributed are the substance of what comes next, not the substitute for it. Schooling is one part of that architecture. The rest of the civic ecosystem the Spatia trilogy describes has to be the other part. This is part of what excites me about AI when it is used well. Not AI as a shortcut around learning, and not AI as a way to bypass the slow work of developing a person, but AI as a way for young people to reflect on what they do, to tell the story of their own growth, to build portfolios of capability, and to connect earlier and more substantively to meaningful projects and communities. The AI representative the Rep AI trilogy described is at its best when it carries forward the young person’s record of contribution rather than substituting for the contribution itself. The future of education should be less about holding adolescents in place and more about helping them become trusted contributors. That move is what Cities of Learning was beginning to enable, and it is what the AI era can either complete or undo. ### The digital backpack, then and now The term digital backpack, as Chicago City of Learning used it in 2013, named the structured, portable record of what a young person had done. It was, in retrospect, the direct institutional ancestor of the term this book uses in a related but expanded sense. The Cyberwealths trilogy gives the term a larger institutional life — the member account of a Mutual AI Credit Union, the ownership account of a Cyberwealths Enterprise — and both descend directly from what Chicago tried to build in 2013, and from what the four-city pilot continued in 2014 and 2015\. I had an inside view of these developments, launching and leading the site in Washington, D.C. which we called District of Learning. The continuity is not a coincidence, because the 2013 digital backpack and the 2026 data backpack answer the same underlying question. A young person, or a citizen in the AI era, generates a structured record of their activity — learning, contribution, authored experience, AI-representative authority, civic participation. Someone has to hold that record. It has to be portable. It has to belong to the person. It has to connect to the institutions that recognize it. It has to accumulate value across time. And the institutions that hold it have to owe duties to the person, not just to the platform that operates the technical layer. What Cities of Learning got right was the form of that artifact: the digital backpack was a member account in a civic infrastructure, owned by the young person, portable, connected to the institutions that recognized it, accumulating across years into a record they could carry forward. The young people in Chicago, Dallas, Pittsburgh, and Washington, D.C. owned their learning and, to the extent the infrastructure was capable of it, owned their data. That ownership was the beginning of something larger. The expansion this book argues for, more than a decade later, is the natural next step of that same logic: young people, and the adults they are becoming, owning not only their learning and their data but their AI representatives, their data backpacks at far greater capacity, and a share of the productive systems being built on top of what their lives generate. The digital backpack of 2013 was a piece of civic infrastructure. The data backpack of 2026 is a piece of cooperative-economic infrastructure. The substrate is larger. The institutional logic is the same. AI by, for, and of We the People. This is the move the Cyberwealths trilogy makes operational, and the phrasing borrows, deliberately, from two of the founding civic texts of the American republic. Lincoln spoke at Gettysburg of a government of the people, by the people, for the people. The Constitution opens with We the People. The phrase combines them with intention: that the productive systems of the AI era should be owned by the people whose lives generate their value, governed by those people, and operated for their benefit, in the same constitutional spirit in which the country itself was constituted. Cities of Learning was the prototype. The trilogy that follows is the institutional architecture that can carry the prototype into operational reality at the scale the AI era requires. ### What was missing In 2015, MacArthur announced a $25 million seed investment in Collective Shift, a new nonprofit whose first project was LRNG, the spinoff rebrand of Cities of Learning. The foundation described a need for broader partners and alternative funding models to extend its digital media and learning work. LRNG would build on city-based pilots, including Chicago, Dallas, Pittsburgh, and Washington, D.C. The legacy includes programs, research, relationships, and practices that continued beyond particular grants and organizational arrangements. Their later trajectories differ. This chapter is not a comprehensive evaluation of every city or of the organizations that followed. Looking back more than a decade later, my concern is the vulnerability I saw when shared infrastructure depended on changing funder priorities and organizational commitments. I do not take that history as proof that one missing legal form caused every difficulty. It is the experience that led me to ask whether participants could have a more durable role in holding what they helped build. The work mattered, and its builders deserve credit. A member-governed institution might have addressed some vulnerabilities, but it would still have needed income, capable management, and public trust. Ownership is a design question to pursue from the history, not a guarantee we can read back into it. The next trilogy explores three institutional disciplines: stewardship from land trusts, mutuality from credit unions, and productive ownership from employee-owned enterprises. These forms already existed during Cities of Learning. The proposal is to examine what a deliberate combination could contribute to an AI-era learning infrastructure, with the resources and governance needed to sustain each part. ### Coming home Build a civic layer for the future of AI with humans at the center aligns closely to building the learner-centered ecosystems of Cities of Learning. The substrate is different now, but the question of durable institutions remains. I do not know whether this attempt will succeed. The inheritance from the last one offers invaluable wisdom and is a reason to try with greater care. What I carry forward is a lesson about both possibility and dependence. Civic learning can connect institutions and opportunities. Its continuity requires more than a successful launch: resources, shared responsibility, and arrangements that survive changes in leadership and funding. An ecosystem with collaborative ownership, funding, and governance with actionable onramps that meet urgent and compelling needs for everyone involved. The next three chapters describe what will have to be built for the next attempt to be durable — the Land Trust, the Credit Union, the Employee-Owned Enterprise — the cooperative architecture by which the AI era can be of, by, and for the people whose lives generate its value. The chapter that follows them describes the road on which all of this work will be built, by people whose names I don’t yet know. The closing chapter after it describes what those people will steer by. ## Sources MacArthur Foundation, Digital Media and Learning initiative (macfound.org/programs/learning). Standing reference on the foundation’s 2004–2018 initiative and the Connected Learning framework that anchored Cities of Learning. Mizuko Ito et al., Connected Learning: An Agenda for Research and Design (Digital Media and Learning Research Hub, University of California, Irvine, 2013). The foundational research statement of the Connected Learning framework. City of Chicago, Mayor’s Office press release, “Chicago Summer of Learning,” March 2013, and Chicago City of Learning materials, including the use of the term digital backpack by participants and partner organizations beginning in 2013. Mozilla Foundation, Open Badges 1.0 specification, 2012–2013\. The technical infrastructure on which Cities of Learning’s badge system was built. MacArthur Foundation, “MacArthur Spins Off Digital Media & Learning Work with $25 Million Seed Investment” (2015): [https://www.macfound.org/press/press-releases/macarthur-spins-digital-media-learning-work-25-million-seed-investment](https://www.macfound.org/press/press-releases/macarthur-spins-digital-media-learning-work-25-million-seed-investment?ref=intospatia.xyz) Abraham Lincoln, Address Delivered at the Dedication of the Cemetery at Gettysburg, November 19, 1863\. The source of the formulation of, by, and for the people that this chapter borrows for the institutional argument applied to AI. Constitution of the United States, Preamble, 1787\. The source of the phrase We the People that this chapter combines with Lincoln’s formulation.