IDWSDS 2025 - Keynote 4: Evidence-Based Leadership: Using Statistical Thinking to Transform Higher.
Автор: CWSTAT
Загружено: 2025-12-30
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Dr. Sherlene Enriquez-Savery presents our Keynote 4: Evidence-Based Leadership: Using Statistical Thinking to Transform Higher Education
How can statistical thinking become a transformative leadership tool in higher education? This presentation demonstrates how embracing data-driven decision-making has revolutionized institutional effectiveness at the University of Belize, leading to successful, comprehensive policy reform and sustainable quality improvement systems.
Drawing from ten years of leadership experience, Dr. Enriquez-Savery will share how initially viewing leadership as separate from technical expertise evolved into recognizing statistical thinking as the foundation of transformational change. Through concrete examples, including accreditation preparation, development of evidence-based workload allocation models, and implementation of university-wide institutional effectiveness frameworks, attendees will learn practical strategies for leveraging data to drive institutional excellence. Stop asking if you’re qualified for leadership and start asking how organizations can make good decisions without statistical thinking. Your analytical superpowers aren’t a career limitation—they’re a competitive advantage the world desperately needs.
Learning Objectives
By the end of this session, participants will be able to:
1. Apply Statistical Thinking to Strategic Planning: Understand how to use quantitative analysis to monitorstrategic plan implementation and calculate meaningful completion rates
2. Design Evidence-Based Policy Frameworks: Learn methodologies for developing data-driven policies thatensure equitable resource allocation and transparent decision-making
3. Implement Institutional Effectiveness Systems: Gain practical knowledge for establishing systematic datacollection and analysis processes that inform continuous improvement
4. Lead Accreditation Through Data: Understand how statistical evidence strengthens accreditation narrativesand demonstrates institutional compliance with quality standards
ORGANIZER: IDWSDS Program Committee
CHAIR: Cynthia Bland, Caucus for Women in Statistics and Data Science
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