KNOW
- identity
- entities
- relationships
Working innovation pack / August 2026
Explore ideas emerging from research across services, operations, policy and data. These are opportunity hypotheses, not committed solutions.
Draw an experiment
01 — 27
Waiting for a draw
Turn the handle
Future Farming
What becomes possible when Defra can know, remember, use, exchange, learn and anticipate?
Explore bold future possibilities that challenge how Farming services could work.
Experiment 25
WHAT IFDefra’s understanding of land kept itself aligned with what is happening on the ground?
Keep Defra’s understanding of land aligned with what is happening on the ground.
Experiment 26
WHAT IFFarmers could see the potential combined impact of different actions before deciding what to do?
Help farmers explore what different combinations of actions could potentially achieve on their land.
Experiment 27
WHAT IFFarmers did not have to apply for support Defra already had enough evidence to know they were likely entitled to?
Bring evidence-led funding opportunities to farmers instead of making them find and apply for support Defra may already know they are likely entitled to.
Experiment 01
Every important entity, interaction, decision and outcome remains connected over time.
Experiment 02
Maintain a continuously improving representation of the people, places, organisations, interventions, evidence and outcomes Defra knows about.
Experiment 03
Move from finding records to reconstructing why Defra believes something and why a decision was made.
Experiment 04
Stop repeatedly asking users for information Defra already holds and reflect Defra’s current understanding back so people can confirm or improve it.
Experiment 05
Spot likely problems while there is still time to prevent them, reserving specialists for genuine ambiguity and risk.
Experiment 06
Every important decision remembers what was decided, why, using what evidence, under which rules and for how long it matters.
Experiment 07
Make specialist knowledge and the most relevant evidence available at the moment a human has to exercise judgement.
Experiment 08
Move from asking people to find the right service or scheme to proactively showing what is relevant to their circumstances.
Experiment 09
AI identifies what evidence is missing for an important question and finds the cheapest credible way to close the gap.
Experiment 10
Continuously identify where regulatory attention is most likely to make a difference.
Experiment 11
Design interventions so Defra can learn whether actions produced the intended service, behavioural and environmental outcomes.
Experiment 12
Stress-test a policy proposition before significant design and delivery effort is committed.
Experiment 13
Use evidence-grounded synthetic actors to expose likely questions, tensions and hypotheses before research with real people.
Experiment 14
Rapidly trace the likely knock-on effects of a proposed policy change across actors, services, operations and outcomes.
Experiment 15
Turn policy assumptions into the smallest useful experiments that can generate real evidence quickly.
Experiment 16
Compare alternative policy designs using connected evidence, behavioural assumptions and explicit uncertainty before full-scale implementation.
Experiment 17
Let policy teams explore how different actors and system constraints might respond dynamically to alternative rules.
Experiment 18
Build living digital representations of farms, landscapes or regulatory systems that stay connected to real-world evidence and can support simulation.
Experiment 19
Coordinate farmers, evidence and interventions around shared landscape outcomes rather than isolated farm-level actions.
Experiment 20
Move from administering static scheme menus toward interventions that continuously learn from place, participation and outcomes.
Experiment 21
Of everything I could look at today, what deserves my attention most?
Experiment 22
Where could intervention create the greatest benefit?
Experiment 23
Help people understand likely consequences, obligations and uncertainty before they commit.
Experiment 24
Detect changing demand or emerging problems early enough for Defra to prepare rather than react.
Experiment 25
WHAT IFDefra’s understanding of land kept itself aligned with what is happening on the ground?
Keep Defra’s understanding of land aligned with what is happening on the ground.
Experiment 26
WHAT IFFarmers could see the potential combined impact of different actions before deciding what to do?
Help farmers explore what different combinations of actions could potentially achieve on their land.
Experiment 27
WHAT IFFarmers did not have to apply for support Defra already had enough evidence to know they were likely entitled to?
Bring evidence-led funding opportunities to farmers instead of making them find and apply for support Defra may already know they are likely entitled to.
Common data capabilities
These capabilities describe what information needs to support: understanding context, remembering decisions, making data usable, taking action, exchanging updates, learning from outcomes and anticipating what may happen next.
About this pack
This brings together 27 experiments inspired by the needs, problems and opportunities emerging from our research across Defra. They range from practical ideas we could test now to more ambitious possibilities enabled by connected data and AI. They are not proposed solutions or commitments, but candidates for Joint Venture Initiatives between Defra and Equal Experts to explore together, test quickly, learn from.