PHILANTHROPIC SUPPORT
Help people shape the systems that shape their lives
Support independent research into learning, AI and social change. Help turn ambitious ideas into careful studies, practical tools and knowledge that people can use.
EdgeLab welcomes conversations with individuals, trusts and foundations who want to strengthen people’s ability to understand, question and influence the decisions affecting them.
A better tool is only part of the answer
A student needs to understand feedback and be able to question it. A teacher needs time and authority to exercise judgement. A community needs its concerns to make a difference to decisions. Introducing new technology does not, by itself, secure these conditions.
EdgeLab investigates how people, technologies and institutions make action possible—and what must change when an arrangement keeps reproducing a problem. Our approach, autopoietic ecology (AE), follows the relationships and work that sustain learning, trust and participation.
Philanthropic support could give this work the time, research capacity and practical settings needed to test its ideas and develop resources for wider use.
Three ways to make a difference
These are priorities for new funded work. Each would begin with an agreed question, budget, partners and a plan for evaluating what changes.
01
Learning with understanding
Help educators and learners explore when AI deepens understanding, how it affects whose contributions count, and what enables people to challenge mistaken feedback.
Support could enable: teacher and researcher time, a carefully scoped educational pilot, accessible learning materials and a public account of the findings.
What we would examine: changes in learners’ explanations and participation, the quality of feedback and the additional work required of teachers.
02
AI people can question and redirect
Support the next stage of the AE Engine and the wider AEAI research programme: investigating whether people can inspect an AI system’s interpretation, correct it and keep its actions within agreed limits.
Support could enable: prototype development, structured user testing and comparisons with other approaches, followed by shared evaluation methods and findings.
What we would examine: whether corrections reach subsequent actions, whether instructions to stop take effect, and what people can understand and control.
03
Institutions that respond to people
Help investigate why concerns raised in education, organisations and civic life sometimes fail to change what happens next—and how participation could become more consequential.
Support could enable: collaborative case studies, paid time for contributors, accessible workshops and practical resources for responding to recurring problems.
What we would examine: whose concerns influence decisions, where the work of keeping things going falls, and whether agreed changes persist.
Fund the work that makes public benefit possible
Early research needs room to ask difficult questions, revise an approach and report results that challenge its starting assumptions. Philanthropy can make space for that patient work and help people with limited time or resources take part.
Support could connect three things: a strong idea, a carefully evaluated project and a useful public resource. It could also sustain the less visible work—research assistance, coordination, technical maintenance and accessible writing—that allows a small research network to carry a project through.
A research programme you can explore
Convened by Steven Watson, EdgeLab brings together theoretical inquiry, collaborative research and practical experimentation. Its work connects education, AI, institutional change, trust and public life.
The experimental AE Engine is available to try, alongside published research and work in development. The next step is to investigate where these approaches help, where they fall short and what others can learn from them.
Explore the research programme · Read publications and working papers · Explore the AE Engine · Meet the collaborators
Start with a project—or help sustain the programme
- Seed a focused inquiry. Support the preparation and testing of one question, with a defined output and a decision about what should follow.
- Back a collaborative pilot. Enable researchers and participants to develop, test and evaluate an approach in an agreed setting.
- Provide sustained support. Help build research capacity across several projects and make findings available through open resources, writing and discussion.
- Contribute expertise or introductions. Bring relevant research, technical or philanthropic experience, or connect us with a potential partner.
A conversation would lead to a costed proposal matched to your interests, with a realistic scope, milestones and a clear account of intended public benefit.
Clear purposes. Honest evidence.
A funding proposal would set out how resources will be used, who will benefit and how progress will be assessed. It would also agree participant responsibilities, reporting and how findings can be shared while respecting privacy and other obligations.
We would assess both useful results and unintended effects, including additional workload or barriers to participation. Research independence and the ability to report unwelcome findings would be explicit parts of the agreement.
Help make the next stage possible
If you share an interest in learning, accountable AI or institutions that respond to people, we would welcome a conversation. Tell us what matters to you and the kind of support you would like to explore.
Steven Watson
steve.watson84@gmail.com
The appropriate funding recipient and administrative arrangements would be agreed for each project before funds are accepted.
Cambridge EdgeLab 