Why expertise does not transfer by instruction
Where the programme starts: what thirty years of practice look like when written down, and what is missing.
People, knowledge and opportunities — together. A platform where human expertise and AI meet to create what neither could alone.
Experience shipping LLM-based products; comfortable owning architecture, data and a small team. Astana preferred, remote within ±2 hours possible. Co-founder terms for the right person.
ApplyYou finished a good university and cannot find a first real job — or you work outside your field. In a triad you solve a real task for a real company beside one of the best experts in the field, and leave with proof of what you can do.
ApplyTwenty or more years in one field, in any of the twelve or beyond. If you have ever thought “nobody will know this after me” — write to us. We will tell you honestly whether a counterpart can hold what you know, and on what terms it stays yours.
ApplyChoose who you are, tell us your field — one of our twelve or your own — and one real problem. We read every application ourselves and answer within two weeks.
Expect an answer from info@jasaresearch.com within two weeks. If your field is not on our list, this is exactly how new triads begin.
Three generations are being pushed apart by the same technology. We think it can pull them together.
High expectations, fewer entry-level roles, no real-world experience to show.
The positions where people used to learn the craft are disappearing first.
Decades of judgment leave with them, and the organisation finds out too late.
Human and artificial intelligence complement each other. One holds judgment, context and care; the other holds memory, speed and patience. JASA is built on the overlap, not the replacement.
Every participant leaves a triad knowing how to work beside an AI counterpart: what to trust, what to check, how to make it better. That is the skill the next decade will ask for.
A counterpart belongs to its expert. It is built with consent, validated by them, and used on their terms. Expertise is amplified, never extracted.
Human intelligenceDecades of practice: cases, decisions, mistakes, and the judgment that is never written down.
Artificial intelligenceA counterpart built from that practice, answering as its person would and saying so when it would not know.
Collective intelligenceWhat three generations and their counterparts produce together that none of them could alone.
How experienced people actually think, decide and feel inside their field, and how much of it can be made explicit.
An expert judgment model: how one person sees, decides and doubts in their field — recorded, validated by that person, growing with every conversation.
Triads working on real problems, turning captured potential into products, decisions and new ventures.
Experience, fresh knowledge and commercial sense usually live in three different people. We study them as one.
Chosen where expertise is deepest, the generation gap widest, and the need most immediate.
Plants, infrastructure, large sites. The judgment of a chief engineer, kept before it retires.
The backbone of the region's economy, where a generation of specialists is leaving at once.
Thirty years of knowing what people will buy, from whom, and at what price, before the data says so.
Where contemplative traditions and classical neuropsychology meet: practice that works, explained by science.
The field that changes fastest, where senior judgment and junior tools need each other most.
Product, interior, brand and advertising. Taste is the most tacit knowledge there is: it passes only by working beside someone who has it.
The diagnostic instinct of a physician with thirty years of patients, made available to the one with three.
Which corridor, which carrier, which season. A region that lives on transit, and a generation of railway, customs and freight people who know it by heart.
How a senior partner reads a contract, where they expect trouble, how they negotiate. Tax and regulatory judgment included; legal advice is not what a counterpart gives.
Field, herd, water and weather. An agronomist reads the land by thirty seasons; it is not taught, it is stood next to.
The teacher who knows which child is about to give up, the lecturer who knows what the syllabus leaves out. Thirty years in a classroom, kept for the next thirty.
How a decision actually gets made, which door to knock on, where a reform breaks. Judgment that leaves with every change of staff.
Your field is not on the list? Propose your own triad — an expert, a successor and one real problem are enough to start.
Sixteen structured sessions over eight weeks, led by a methodologist and built on cognitive task analysis, concept mapping, repertory grids and, in visual fields, eye-tracking. Measured by counterpart accuracy as judged by the expert, and by the successor's progress.
ActiveHow closely a counterpart answers as its expert would, measured by the expert. The programme's central metric.
Study I · activeFormation, working rhythm and outcomes of three-generation units on bounded, eight-week problems.
Study II · preparingReal problems from the twelve fields, documented as they are solved. Published with partners' consent.
From 2027Short, dated working notes as the programme develops, honest about what is still unknown.
PreparingHow emerging specialists join a triad, what they do for eight weeks and what they take with them.
OpenWe invite recent graduates and early-career specialists, 22 to 28, to work for eight weeks alongside an expert with decades of practice and a business lead, on one real problem in one of the twelve fields.
Fill in the form: your field, where you studied, and one paragraph on a problem in your field you think is solved badly. Three lines are enough.
Go to the formWe read everything and reply within two weeks. Places are limited by the number of triads we can run with care.
A triad lasts eight weeks. What each of its three sides keeps afterwards is verifiable, carries a name, and stays theirs.
A weekly digest of new research on expertise, human-AI collaboration and intergenerational work, selected by JASA's research agent and reviewed by the team.
The first digest is being prepared. New entries appear here every week.
Where the programme starts: what thirty years of practice look like when written down, and what is missing.
Thirty questions, one expert, one counterpart. How we scored agreement and what the score hides.
What the first units produced, and where the method had to change.
JASA started as a family question: what happens to what we know when we stop working. It is run from Astana and London by a founding team with twenty years in business, a decade in psychology and human behaviour, and a neuroscientist of the next generation. The programme is independent and funded by its founders in its first phase — a deliberate choice.
We are open to conversation with researchers in cognitive science, knowledge management and human-AI collaboration, and with organisations whose expertise is about to retire.
A more human future, created together.