Automation index
How much of a Criminologist’s job can AI already do?
A crime map comes earlier. Understanding why it happens there, and what to do with the repeat offender, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Criminologist
29%
AI can already do 29% of this job.
#57 / 623
View rankingCriminologist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Data, maps and the victimisation report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Profiles, reoffending and programme evaluation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, interviews and what the spreadsheet misses.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Police, judges and the measure under debate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Prevention, the neighbourhood and the programme that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The opinion, and not selling magic recipes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- crime maps
- study reoffending
- victimisation
- evaluate programmes
- situational prevention
- criminological profiles
- reports for judges
- fieldwork
Sources for this job· O*NET 19-3041.00· ESCO/ISCO 2632
IS WORK OVER?
Cartographer
31%
#31 / 623
View rankingCartographer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165