Episode Summary Higher education is evolving at a faster rate than anyone could have anticipated. How can institutions move past simply reacting to change and start actively anticipating it?

In this episode of Data Stakes, Debbie sits down with Dr. Viviana Unda, Head of Institutional Research and Planning at El Camino College, to explore the transformative power of "Futures Thinking" in higher education. Drawing on her recent coursework from the University of Cambridge, Dr. Unda breaks down the crucial differences between standard forecasting and strategic foresight.

Together, they discuss how to build campus buy-in for future-focused initiatives, why data visualizations are never truly "neutral," and how applying frameworks like the Futures Triangle can revolutionize how institutional research teams tell data stories. Dr. Unda also shares exclusive insights from her upcoming chapter in Priority Partners, offering practical advice on building stronger, outcome-aware relationships with third-party vendors.

Key Takeaways & Episode Highlights

• [00:00] Introduction: What is Futures Readiness and why does it matter right now?
• [03:28] Strategies for building campus buy-in and utilizing early adopters for new governance initiatives.
• [06:59] Breaking down the principles of futures thinking: Strategic foresight vs. forecasting, systems thinking, and confronting cognitive biases.
• [17:00] The Futures Triangle: Applying the "push of the present, pull of the future, and weight of history" to data visualization.
• [18:44] Why data visuals are never neutral and what the future of "embodied data" experiences might look like.
• [22:54] A curated list of books, toolkits, and podcasts to help you and your team develop strategic foresight.
• [31:35] Priority Partners: How to use data and evidence to establish better, mission-driven relationships with vendors.

Resources Mentioned in this Episode:

• Organizations & Toolkits: Institute for the Future, ASAE ForesightWorks (50 Drivers of Change), UK Office of Science Futures Toolkit.
• Reports: EDUCAUSE Horizon Report (Data and Analytics Edition), OECD Trends Shaping Education.
• Books: Imaginable by Jane McGonigal, Four Steps to the Future by Richard Lum, Co-Intelligence by Ethan Mollick.
• Events: The Future Summit (California Community Colleges).
• Podcasts: The Think Forward Show, The New Abnormal.

About the Sponsor Data Stakes is sponsored by the Data Analytics Alliance for Higher Education. Visit our website to learn more about our upcoming quarterly meeting featuring Dr. Brent Drake from the John Gardner Institute, where we'll be discussing the impact of AI on data analytics.

Have questions about today's conversation? Reach out to Dave Phelps at Datatelligent.

In this episode of Data Stakes, host Debbie Phelps explores how to transform high-level institutional strategy into tangible daily practice. She is joined by Dr. Callie Holden (College Director of Strategic Planning and Grant Development) and Misty Tollett (Director of Strategic Planning) from Ozarks Tech, a two-year technical community college in Springfield, Missouri. Callie and Misty share the journey of building Ozarks Tech's integrated planning model—a streamlined approach that brings student learning assessment, departmental planning, program review, and budget requests into one cohesive, user-friendly cycle. They discuss the importance of democratizing campus data, proving that you don't need complex dashboards to tell a compelling story, and explain how the planning team partners seamlessly with Institutional Research to drive data-informed decisions. To wrap up, the guests highlight the invaluable professional development and networking opportunities available through MidAIR (the Midwestern Association for Institutional Research) for higher education data professionals. In this episode, we cover:

• The Integrated Planning Model: How to consolidate conflicting timelines into a single, complementary 3-year cycle.
• Data for the Masses: Moving away from complicated charts to accessible, 10th-grade reading level data points that help every department see their story.
• Budgeting with Purpose: Why every budget request must directly tie back to a departmental or institutional strategic goal.
• IR & Strategy Collaboration: How planning departments and Institutional Research (IR) can split the data puzzle to better serve the campus.
• MidAIR: Upcoming virtual and in-person conferences, resources, and community support for IR professionals in the Midwest.

Back by popular demand! After the massive success of our first AI-focused episode, the Data Stakes podcast is returning to the world of Artificial Intelligence—but this time, we’re peeling back the curtain on what actually makes these systems work. In this special roundtable episode, host Debbie sits down with three key members of the Datatelligent (DT) team: Founder and CEO Larry Blackburn, and Director of Product Development Robert Miller, who helped kick off our popular AI series earlier this year. We’ve all heard that AI is "intelligent," but without the right environment, it’s often just guessing. In this episode, titled "Context is the Real Intelligence: Why AI and Humans Both Depend on It," we explore why context is the bridge between a "hallucinating" chatbot and a trusted business tool. In this episode, we discuss:

• The Human Shorthand: How our shared experiences and "organizational knowledge" allow us to communicate efficiently, and why AI lacks this by default.
• Context Engineering vs. Prompt Engineering: Why the future of AI isn't just about asking better questions, but about designing better information environments.
• The Semantic Layer: A deep dive into how tools like Snowflake allow institutions to build a "map" that keeps AI accurate and grounded in reality.
• Security & PII: How to maintain strict data privacy and guardrails while still giving AI the access it needs to be useful.
• Building Trust: Why providing institutional definitions is the only way to move from AI skepticism to AI adoption in Higher Ed and beyond.

Whether you’re an AI enthusiast or "AI hesitant," this conversation will change how you think about the data you feed your systems. Because at the end of the day, meaning doesn't come from words alone—it comes from context.