What Matters Next: A Leader’s Guide to Making Human-Friendly Tech Decisions
Date and time
Location
Refund policy
About this event
DATE: Sept 29, Oct 27, Nov 24,2026, Jan 26, Feb 23, and April 27, 2027
TIME: 3:00 P.M. - 4:00 P.M.
LOCATION: ONLINE VIA ZOOM
CONTACT: BRIANNE FOX pd@ncoesc.org
REGISTRATION FEE: FREE FOR MEMBER DISTRICTS/$30 FOR NON-MEMBER DISTRICTS
CONTACT HOURS: 6 (All Sessions Required)
FACILITATOR/S: DR. BRYAN DROST
Participants Must Purchase Book
THIS IS A FOUR PART SERIES. YOU MUST ATTEND ALL SESSIONS PLEASE MAKE SURE TO REGISTER FOR THE Sept 29, Oct 27, Nov 24, Jan 26, Feb 23, and April 27 SESSIONS SEPARATELY.
Technology leaders are being asked to make faster, higher-stakes decisions about AI, data systems, and digital transformation—often without a clear framework for aligning those decisions to long-term organizational impact. This book study centers on how to lead strategically and humanely in that environment.
Grounded in the work of Kate O’Neill, this series explores how leaders can harness emerging technologies to drive organizational growth and innovation while keeping people—not tools—at the center. Participants will engage with practical frameworks for moving from questions to insights to “bankable foresight,” ensuring decisions are not just reactive, but predictive and aligned to purpose.
Across sessions, participants will examine how to:
Align vision, values, and resources into a coherent decision-making model
Leverage the intersection of human expertise and machine intelligence
Frame digital transformation efforts in ways that are sustainable, ethical, and future-focused
Each session will include structured protocols, scenario-based application, and opportunities to directly connect learning to district technology systems, instructional priorities, and leadership decisions.
Why Technology Directors Should Attend
Build a defensible decision-making model: Move beyond tool selection to a clear framework that connects purpose, values, and investments across the system.
Develop “bankable foresight”: Strengthen your ability to anticipate implications of AI and emerging technologies rather than reacting after implementation.
Lead digital transformation with coherence: Ensure initiatives across infrastructure, instruction, and data systems are aligned—not fragmented.
Balance innovation with responsibility: Understand how to integrate machine intelligence while maintaining human judgment, ethics, and trust.
Translate business strategy into school systems: Apply cross-sector thinking (used by organizations like Google, Yale, and the United Nations) to K–12 environments in a way that improves outcomes for students and staff.
Position your district for long-term impact: Make technology decisions that are sustainable, scalable, and centered on human experience—not short-term adoption cycles.