2025 Leadership Program
Program Leads
Advisory Committee
Laura Rantala
Long Beach City College
Kenji Ikemoto
Stanford University
John Bansavich, Ed.D.
University of San Francisco
Hussam Kashou, PhD
Long Beach City College
Henry Burnett, PhD
Higher Ed Consultant
2025 Cohort
Topics & Dates
March 14, 12:00-1:30 PM
Welcome To The Program, Meet Your Cohort, Introduction To The Canvas Course (Kenji Ikemoto, Stanford University | Laura Rantala, Long Beach City College | Eric Wilson, Orange Coast College)
Program details, meet and greet, and how to navigate our Canvas Course.
April 11, 12:00-1:30 PM
The Power of Collaboration: Building Relationships to Drive Innovation (Sean Hauze | San Diego State University)
Join us for The Power of Collaboration: Building Relationships to Drive Innovation, a dynamic session led by Dr. Sean Hauze that explores how strategic leadership, trust, and collaboration fuel innovation. Drawing from Dr. Hauze’s extensive experience in instructional technology, digital transformation, and cross-functional partnerships, this session offers real-world insights and actionable strategies for cultivating high-impact teams. Attendees will learn how to foster a culture of innovation through effective relationship-building, stakeholder engagement, and collaborative problem-solving—gaining tools to lead with vision, navigate change, and unite diverse perspectives to drive breakthrough solutions.
May 9, 12:00-1:30 PM
More Information Coming Soon (Marina Animy, CA Virtual Campus)
Come back often for updates
June 13, 12:00-1:30 PM
More Information Coming Soon
Come back often for updates
July 11, 12:00-1:30 PM
Analyzing Data Using an Equity-Minded Framework (Hannah Lawler, Santa Monica College | Sherri Bradford, Santa Monica College)
In this session, presenters will demonstrate how to precisely measure and monitor equity gaps in student outcome metrics. Participants will explore how different ways of framing data can influence sense making, discussions, and the development of strategies to address inequities for racially minoritized and other marginalized student groups. The session will also advocate for applying an equity-minded lens to data analysis and provide an opportunity for participants to practice analyzing and interpreting data using this framework.