Another Pandora's box? Some pros and cons of predictive risk modeling
Bibliographic Data
| ID | 11335269 |
|---|---|
| Authors | Irene De Haan (0000-0002-7387-7634, University of Auckland, corresponding author), Marie Connolly (0000-0001-9212-9546, The University of Melbourne) |
| Year | 2014 |
| Volume | 47 |
| Pages | 86-91 |
| Publication date | 2014-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Children and Youth Services Review (JOURNAL) |
| Journal identifiers | ISSN: 0190-7409 • E-ISSN: 1873-7765 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.childyouth.2014.07.016 |
| OpenAlex | W2070523371 |
| Language | EN |
| Citations received | 13 |
| References cited | 31 |
Child abuse · Child protection · Computer security · Context (archaeology · False positive paradox · Geography · Harm · Identification (biology · Intervention (counseling · Machine learning · Medical emergency · Poison control · Political science · Process (computing · Psychiatry · Risk analysis (engineering · Statutory law · Suicide prevention · Child Abuse and Trauma · Computer Science · Homicide, Infanticide, and Child Abuse · Intimate Partner and Family Violence · Medicine · Psychology · Social Psychology
Data Justice and the Right to the City
Chapter 3 Datafied Child Welfare Services as Sites of Struggle
Perfect Bedfellows
Decision Support Systems, Social Justice and Algorithmic Accountability in Social Work
Predictive Risk Modelling to Prevent Child Maltreatment
Ontario child protection workers' views on assessing risk and planning for safety in exposure to domestic violence cases
Preventing Infant Maltreatment with Predictive Analytics
Big Data in Social Welfare
Exploring the protective factors of children and families identified at highest risk of adverse childhood experiences by a predictive risk model
Risk assessment and decision making in child protective services
The Development of Algorithmically Based Decision-Making Systems in Children’s Protective Services
Social Work in the Digital Era
Predictive risk modelling and the mistaken equation of socio-economic disadvantage with risk of maltreatment
Identifying children at high risk for a child maltreatment report
Resilience concepts and findings
The prevalence of child sexual abuse in community and student samples
A Resilience Framework for Research, Policy, and Practice
Recognising and responding to child maltreatment
Challenging assumptions about risk factors and the role of screening for violence risk in the field of mental health
Parenting support in the context of poverty
From hard to reach to how to reach
Relating outcomes to objectives in child protection
Social work’s ‘electronic turn’
The crucial role played by social outrage in efforts to reform child protective services
Approaches to assessment and intervention across four types of child and family welfare services
Improving practice
Computational intelligence techniques for risk assessment and decision support
Toward a cumulative ecological risk model for the etiology of child maltreatment
Concluding commentary
Making complex decisions
Child abuse as a complex and wicked problem
Safeguarding
Identifying Families with Multiple Problems
Labelling Clients 'Risky
The intergenerational transmission of parenting
Resilience in ecosystemic context
| Unique citing works | 13 |
|---|---|
| Citations per year | 1.3 |
| Citation span | 2016 - 2022 (7) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 13 |