Get email alerts on the Sim Mapping topic
No spam. Unsubscribe anytime.
Whatcom County plans Sequential Intercept Model workshop to map diversion pathways; AOC facilitators to lead
Summary
Committee members were invited to a late-February Sequential Intercept Model mapping workshop to define functional diversion processes; the Administrative Office of the Courts will help recruit facilitators and advise on a mix of administrators and people with lived experience.
The Justice Project Oversight and Planning Committee was briefed on a planned Sequential Intercept Model (SIM) mapping workshop to revisit where and how people might be diverted from the criminal-legal system in Whatcom County.
Dean (named in the meeting) described the approach: the SIM divides the criminal-legal process into intercepts — prevention/intercept 0, law enforcement contact, initial detention/court hearings, in-custody/disposition points, reentry and community supervision — and the workshop will map not only what services exist but how functional diversion processes operate at each intercept. The AOC (Administrative Office of the Courts) has recruited two facilitators, Dr. Faith Lutz (Western Washington University) and Judge Stephen Greer (Mason County), and Chuckanut/Chuckanut Health Foundation will manage outreach and invitations.
The organizers said they expect up to about 60 participants and urged a recommended mix: roughly 75% administrators or program leaders who can implement changes and about 25% frontline staff, families, peers and people with lived experience. The planning team has circulated a survey and will select participants to ensure a balanced cross-section of stakeholders.
The workshop is intended to produce specific, functional recommendations and follow-up teams to carry them out. Committee members were asked to complete the expression-of-interest survey and to forward the invitation to other community members and providers who should participate.
The meeting closed with staff and committee members reiterating the SIM's role in identifying data and measurement needs across intercepts and urging broad participation so recommendations can move toward implementation.
AI generated
The text on this page is AI generated. Summaries, highlights, analysis, and video transcripts are all produced from the original source material.
AI can make mistakes, so if you spot one, and we will fix it for everyone.
Note: the source content is unaltered by us. Any content source we link to, be it a video, an audio recording, or a document, is presented exactly as its publisher released it. That publisher is usually a government body, sometimes an individual official or another organisation.
