Abstract
This chapter highlights the potential and challenges of using big data to predict possible harm (such as child abuse, suicide or crime) in relation to the role of social workers in society.
| Translated title of the contribution | Risk diagnostics and big data analytics in social work |
|---|---|
| Original language | German |
| Title of host publication | Handbuch Soziale Arbeit und Digitalisierung |
| Editors | Nadia Kutscher, Thomas Ley, Udo Seelmeyer, Friederike Siller, Angela Tillmann, Isabel Zorn |
| Place of Publication | Weinheim, Germany |
| Publisher | Beltz-Juventa: Weinheim, Germany |
| Chapter | 19 |
| Pages | 255-264 |
| Number of pages | 10 |
| ISBN (Electronic) | 978-3-7799-5258-9 |
| ISBN (Print) | 978-3-7799-3983-2 |
| Publication status | Published (in print/issue) - 12 Feb 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being -
SDG 16 Peace, Justice and Strong Institutions
Keywords
- social work
- diagnostics
- risk assessment
- Risk analysis
- artificial intelligence
- predictive analytics
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