Tuesday, January 19, 2021, 3:00 -
4:00 PM ET
Register for this webinar.
Adult Protective Services (APS) agencies are collecting and
reporting more and more data on adult maltreatment, yet very little
research has been done to explore how this data could inform predictive
risk factors associated with maltreatment. Join our Adult Protective
Services Technical Assistance Resource Center for a webinar describing
the purpose and results of an ACL-funded research project to assess how
artificial intelligence, machine learning, and other “big data” tools
could help identify individuals who are at increased risk for abuse,
neglect, and exploitation.
The webinar will include:
- Results
from a literature review on risk and protective factors.
- A
scan of how related fields (e.g., child welfare, healthcare, and
criminal justice) use machine learning and predictive analytics.
- The
methodology and results of the machine learning predictive analytic
approach to identify locations with a high incidence of abuse,
neglect, and exploitation.
- Implications
for research, policy, and practice and reflection on the
long-term and short-term future goals of early identification
and prevention of adult maltreatment.
Webinar speakers include
- Nicole
Fettig, PhD, Research
Manager/Subject Matter Expert, APS TARC, WRMA, Inc, a
TriMetrix Company
- Karl
Urban, MPA,
Senior Research Manager, APS TARC, WRMA Inc, a TriMetrix
Company
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