Structured Decision Making Framework Community of Practice Seminar
Sector: Education • Location: United States of America
Source: Grants.gov
The Structured Decision Making Framework (SDMF) Tool was developed by Ralph Serin of Carleton University. SDMF is an empirically validated model for helping parole boards make high-quality parole decisions. As its name suggests, the framework provides a structure for making decisions. It does this through the use of relevant factors, which are conditions or behaviors determined by evidence-based r
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Structured Decision Making Framework (SDMF) Tool was developed by Ralph Serin of Carleton University. SDMF is an empirically validated model for helping parole boards make high-quality parole decisions. As its name suggests, the framework provides a structure for making decisions. It does this through the use of relevant factors, which are conditions or behaviors determined by evidence-based research to influence a person’s propensity to engage in crime after release. Because the framework relies on evidence rather than subjective criteria, it can help parole boards demonstrate a commitment to making objective, non-arbitrary release decisions. NIC has developed specialized technical assistance for parole boards to help them integrate the SDMF into their current practices. This “onboarding” combines readiness assessments, implementation planning, training, and coaching to ensure parole boards have the capacity and ability to use the tool. To date, NIC has assisted twelve states in adopting the SDMF model. All evidence-based models require the regular examination of recent and ongoing information, data, and training to ensure positive outcomes. Fidelity to a model increases the likelihood that those who use it will consistently obtain the same results. It is a reflection of the extent to which skills and attitudes are acquired and can be transferred to the changing working environment. A community of practice will be used to foster fidelity and ongoing examination of the tool among practitioners. A community of practice (CoP) is based on social learning theory whereby members of a group transfer knowledge and improve practices in real time by interacting with others in the same group. Engaging in an SDMF CoP can help group members improve their efficacy in using the tool and prevent parole boards from “project drift” where practices/processes change from the original model intent. This increases fidelity. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
