IS WORK OVER?

Automation index

How much of a Astronomer’s job can AI already do?

A night of telescope time comes earlier. Reducing the data without selling the find early do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Astronomer

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.

TaskShareAIPoints
Proposal, time and the instrument.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Observe, calibrate and the one that clouds over.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Reduce, the pipeline and the artefact.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Paper, the referee and not jumping.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The facility, the queue and not losing the night.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Reduce, and not selling the find early.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • telescope time
  • calibrate
  • pipelines
  • papers
  • artefacts
  • nights
  • proposals
  • instruments

Sources for this job· O*NET 19-2011.00· ESCO/ISCO 2111

Criminologist

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.

TaskShareAIPoints
Data, maps and the victimisation report.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Profiles, reoffending and programme evaluation.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Field, interviews and what the spreadsheet misses.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Police, judges and the measure under debate.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Prevention, the neighbourhood and the programme that does not fit.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The opinion, and not selling magic recipes.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

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