Resilient government requires data science reform
Bibliographic Data
| ID | 4617591 |
|---|---|
| Authors | Ben D Macarthur (0000-0002-5396-9750, Turing Institute, corresponding author), Cosmina L Dorobantu (0000-0001-7903-4796, Turing Institute, corresponding author), Helen Z Margetts (0000-0003-4597-8283, Turing Institute, corresponding author) |
| Year | 2022 |
| Volume | 6 |
| Issue | 8 |
| Pages | 1035-1037 |
| Publication date | 2022-08-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Nature Human Behaviour (JOURNAL) |
| Journal identifiers | ISSN: 2397-3374 • E-ISSN: 2397-3374 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1038/s41562-022-01423-6 |
| PMID | 35941235 |
| OpenAlex | W4290673785 |
| Language | EN |
| Citations received | 3 |
| References cited | 11 |
Business · Computer security · Data science · Political science · Psychological resilience · Public sector · Anomaly Detection Techniques and Applications · Big Data and Business Intelligence · Computer Science · Explainable Artificial Intelligence (XAI · Psychology · Social Psychology
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |