Ed. Code, § 89562 · Article 3. California State University Police
Ed. Code, § 89562
Text — As published in the Legislative Counsel's database, tables dated October 18, 2026 (pubinfo_2025.zip)
(a) On or before July 1, 2023, the Chancellor of the California State University shall convene a stakeholder workgroup that includes, but is not limited to, a representative from all of the following stakeholders:
(1) Faculty.
(2) Staff.
(3) Students.
(4) Campus health and safety personnel.
(5) Bargaining unit representatives.
(b) The stakeholder workgroup shall submit a report to the Legislature and the Chancellor of the California State University nine months after the first meeting of the stakeholder workgroup that includes recommendations to alleviate concerns of current emergency response programs on the campuses of the California State University.
(c) In preparing the report pursuant to subdivision (b), the stakeholder workgroup shall, at a minimum, evaluate and report on both of the following:
(1) Alternatives to current procedures and processes for responding to nonviolent and noncriminal situations on the campuses of the California State University.
(2) Alternative dispute resolution options to resolve employee conflicts.
(d) (1) A report to be submitted pursuant to subdivision (b) shall be submitted in compliance with Section 9795 of the Government Code.
(2) Pursuant to Section 10231.5 of the Government Code, this section is repealed on July 1, 2027.
Notes and commentary — not statutory text
History
Added by Stats. 2022, Ch. 931, Sec. 2. (AB 1997) Effective January 1, 2023. Repealed as of July 1, 2027, by its own provisions.
Source of truth
- Edition
- As published in the Legislative Counsel's database, tables dated October 18, 2026 (pubinfo_2025.zip)
- Official file
- https://leginfo.legislature.ca.gov/faces/codes_displaySection.xhtml?lawCode=EDC§ionNum=89562.
- Text hash
- sha256 ef052aa7a9c350aba406d919feced35360ac9c81d515966202f5b5c8e8c9e686
- Composed by
- compose_ca.py 2026-10-22: the Legislative Counsel's CAML content files read by a tokenizer (caml_readers.reader_a); an independent xml.etree reading (caml_readers.reader_b) agrees on every section
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