Field directory

The field has an established infrastructure of free courses, skilled-volunteering pipelines, job boards, professional communities, and funders. Each entry below states what a graduate student or early-career professional can do there. Links were checked in July 2026.

Learn

• InnovateUS runs free self-paced courses and live workshops on innovation, data, and responsible AI for public-sector and civic-minded professionals, including a certificate course on responsible AI for public professionals.
• NTEN is the nonprofit technology professional community. It offers professional certificates, a six-month Nonprofit Tech Readiness cohort, courses with scholarships, and a job board. Its Tech Accelerate instrument is the one behind the Week 9 capacity assessment.
• TechSoup Courses offers 200+ nonprofit tech skills courses, including free Microsoft Digital Skills Center courses that need no account. TechSoup itself is where nonprofits obtain discounted and donated software.
• digital.gov hosts the federal government’s communities of practice (UX, web, plain language) and public events; anyone can join.
• All Tech Is Human runs the Responsible Tech job board, a large Slack community, free responsible-AI short courses, and an annual summit.
• The Global MOOC on the Ethics of AI, from UNESCO with LG AI Research, runs ten modules that follow UNESCO’s Recommendation on the Ethics of Artificial Intelligence, adopted by all 193 member states in November 2021 as the first global standard on AI ethics. The Recommendation itself is free to read in nine languages. On Coursera the certificate is paid and free access comes through a trial or preview, so check the current terms before enrolling.
• AI Quests, from Google Research and the Stanford Accelerator for Learning, is a free set of code-free, game-based AI lessons written for ages 11 to 14, with teacher resources. It is listed for partner organizations running youth programs; the reading level is well below this course.

Volunteer pipelines

• U.S. Digital Response places pro bono technologists and data people with state, local, and tribal governments. Volunteering here is a recognized on-ramp into civic-tech jobs.
• DataKind matches data scientists with nonprofits for project work and runs DataDive events and local chapters.
• INFORMS Pro Bono Analytics matches analytics volunteers with nonprofits for two-to-three-month projects.
• Catchafire and Taproot Foundation are skills-based volunteering marketplaces spanning marketing, design, HR, and tech, useful when the contribution is professional skill rather than code.
• 48in48 builds free websites for nonprofits in weekend sprints; the next global event runs October 2026.
• Alliance of Civic Technologists is the successor network to Code for America’s local brigades (which were sunset in 2023) and the current entry point for local civic-tech volunteering.

Jobs and job boards

• Fast Forward accelerates early-stage tech nonprofits and runs the Tech Nonprofit Job Board, a job listing focused on organizations of the kind the course partners with.
• Code for America builds safety-net, tax, and justice technology with governments and posts open roles on its careers page.

• Tech Matters builds open-source platforms for frontline social-sector organizations (the Aselo crisis-helpline platform, the Terraso land platform) and takes early-career contributors through its open roles and repositories.
• Data.org runs data-and-AI fellowships, a capacity-building network for nonprofits, and a sector-specific jobs board.
• PIT-UN, the public interest technology university network, runs career fairs, hackathons, and an annual summit; Michigan is a member.

• Aspen Policy Academy runs a science and technology policy fellowship with a stipend; applications open each December.

Roles inside tech teams

A product team splits decisions by role:

• Product manager: what problem, for whom, in what order.
• Engineer: feasibility, and the cost of change.
• Designer: how the interaction works.
• UX researcher: the evidence about users.
• Data scientist: the metrics and models.
• Trust and safety: how harm is handled.
• Policy and legal: what the product may do.

Product manager is the one role here with no credential gate: no license, no degree, no certificate to check. Practitioner training already does most of the job. A needs assessment does the work of user research, and an engagement interview does the work of a user interview. Case coordination is stakeholder alignment. Program management, the budgets, metrics, and grant reports practitioners produce, is roadmap and KPI ownership under a different name. Person-in-environment thinking is systems thinking. Practitioners are usually cast as the outside expert a product team consults; the credential gap says they can fill the product manager role directly. Training does not supply technical conversancy or prioritization habits automatically, and the hiring market still defaults to computer science and MBA backgrounds.

Civic-tech roles are posted on Code for America’s careers page and U.S. Digital Response’s volunteer program, both listed above; USDR recruits for product and project management. Trust-and-safety roles are posted on the All Tech Is Human job board, listed under Learn. The most structured route into product management is an associate product manager (APM) program, a one-to-two-year rotation for early-career hires with no prior PM experience, such as Atlassian’s. Therapists in Tech runs a Slack community and job-matching events for mental-health professionals moving into digital mental-health roles; several of its own leaders are licensed clinical social workers.

There is a second track into these teams: AI governance. Companies building AI now hire for responsible AI program managers, AI governance leads, AI policy managers, model safety and red-team staff, and launch reviewers who sign off before a system ships. Practitioner training suits this role closely: the NASW Code of Ethics is already enforceable, documented risk assessment and safety planning is routine casework, and negotiating consent under a power imbalance is what an intake interview trains for, the daily substance of AI governance work under a different name. Microsoft’s Office of Responsible AI describes the function inside one company; the International Association of Privacy Professionals’ AI Governance Professional certification is the credential for it, no engineering background required. Governance teams are often the first cut in a downturn, so an organization’s track record is worth checking before trusting its stated principles.

Inside a hospital or a government agency, the same skills operate inside procurement rules and compliance review instead of a startup’s product cycle.

When a nonprofit accepts one of the grants and credits described elsewhere on this page, someone inside has to manage its side of the collaboration: reading the terms, managing the vendor relationship, and making the decisions the grant itself does not make, the same product and governance work described above.

Policy trackers

• National Digital Inclusion Alliance, the digital equity practitioner alliance from Week 12; free affiliate membership and the annual Net Inclusion conference.
• Benton Institute for Broadband & Society publishes a free daily digest on broadband and digital equity policy.

Funding programs and their fine print

Week 8’s lab runs a live teardown of one of these programs, and the descriptions below are deliberately short: the exercise is reading the actual terms yourself. Two questions apply to all of them. Does the program provide cash or credits, and what does the funder receive in return?

• OpenAI’s People-First AI Fund gives unrestricted one-time cash grants ($50M committed for 2026) to US 501(c)(3) organizations with budgets between $500K and $10M, one annual cycle. Cash with no product tie-in is rare in this list; the eligibility band and the fund’s size relative to the foundation’s roughly $130B in assets are where the critical questions start. The separate OpenAI nonprofit discount is a customer program, priced per seat, and worth analyzing as a different kind of program entirely.
• Google.org’s Generative AI Accelerator gives a share of $30M plus cloud credits and six months of embedded pro bono Google staff. Google for Nonprofits currently includes Gemini in its free Workspace tier for up to 2,000 users.
• Microsoft for Nonprofits offers discounted Copilot and Business Premium seats. Its history is part of the lesson: Microsoft ended its free 365 tier for roughly 400,000 nonprofits in July 2025, which one sector CEO called “not a transition, it’s a rug-pull,” and which is a recent case of what happens when donated licenses end.
• The AWS Imagine Grant awards up to $200K cash plus up to $100K in AWS credits across three tiers. A third to half of each award is denominated in AWS credits, which only have value on the AWS stack.
• The Patrick J. McGovern Foundation made $75.8M in cash grants across 149 organizations in 2025 with no commercial product attached, and publishes almost nothing about how to apply. Finding the actual door is part of the teardown if your group picks this one.
• Fast Forward’s accelerator gives $25K+ unrestricted plus a three-month cohort and demo day, with an admit rate around 2.5 percent.

For the critique itself, three starting points: the OpenAI Foundation coverage above, Nonprofit Quarterly on why nonprofit control of technology matters (the dependency and lock-in argument), and Tech Policy Press on “grantwashing” (small grants as manufactured legitimacy). Program terms change often, and the numbers on a program’s own page may already differ from the ones here; noticing that is part of the assignment.