GCRI · Campaigns
Supporting methods
The research behind Campaigns: the questions it asks, the models and measurements it uses, how uncertainty is stated and how a result is reviewed and reproduced before it is published.
The workspace for supporting methods.
Evidence register
Campaigns · Supporting methods · Example interface, not a record
Indicators
unit · cadence · label
| People reached | people | weekly | REPORTED | SP-1326 |
| Knowledge gain | score change | per wave | SURVEY | SP-5288 |
| Consent records complete | of participants | weekly | Published statistics | SP-7050 |
| Preparedness actions taken | of households | per wave | SURVEY | SP-7542 |
| Complaints and feedback | items | weekly | REPORTED | SP-2243 |
Source passport
- Source
- Participation records
- Licence
- open · attribution
- Steward
- Campaign lead
- Coverage
- 69 pct of places
- Known limits
- sparse in uplands
Coverage by place
Campaigns · Evidence register. Evidence register: example names and illustrative values, not a record.
What the research asks.
- 01
Risk literacy
Teaching complex risks with clear evidence.
- 02
Water and food awareness
Campaigns rooted in life-support systems.
- 03
Community preparedness
Preparedness information and community safeguards.
- 04
Responsible AI literacy
Practical understanding of AI risks.
- 05
Campaign governance
Sponsor neutrality and public claims.
- 06
Participation consent
Voluntary roles and privacy.
What public risk campaign research cannot yet answer well enough for decisions.
Campaign science asks what actually changes what people know and do about risk, and how to measure it without overstating the effect of a campaign.
- Which forms of risk communication change preparedness behaviour, not only awareness? See community preparedness.
- How should campaign effects be measured when exposure cannot be randomised? See campaign evidence.
- What do people need to understand about AI-generated content to judge warnings and claims? See responsible AI literacy.
- How should consent and data minimisation work in participatory campaigns? See participation and consent.
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Results are labelled as observed, published statistics, estimated, modelled, forecast, scenario or expert judgement. Missing data is shown as missing, never filled silently.
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Questions and answers.
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