IN-PERSON | The Lab | Session Three: Optimize
The Lab: Bring a Challenge. Leave with Possibilities.
Life rarely hands us a clear next step. Whether you’re navigating a career move, growing a business, rethinking a relationship, or simply sensing that something needs to change, the hardest part isn’t always making a decision. It’s making sure that what you’re creating actually feels like you.
The Lab is an interactive three-part series that invites you to bring one real challenge and explore it differently. Using the Calibrate → Experiment → Optimize framework, you’ll learn to separate your signal from the noise, test new possibilities without needing to know the outcome, and use what you discover to shape what comes next. Blending reflection, interactive exercises, live science experiments, and original live music, The Lab combines scientific thinking with creative discovery to help you explore what’s possible.
Each session stands on its own, while the full series allows you to take one challenge through the complete process.
Session Three: OPTIMIZE: Create What Fits
What if changing your mind didn’t mean you got it wrong? What if it meant you finally had enough information to choose differently?
In this session, you’ll use what you’ve learned through experimentation to refine your direction and make it more your own. You’ll learn to recognize what fits and give yourself permission to change what doesn’t. Like an artist, you’ll create as you go, allowing what you discover to shape choices that increasingly reflect who you are and what matters to you.
Attendees will leave with:
- Turn experience into useful information instead of evidence that you succeeded or failed.
- Recognize when something no longer fits and give yourself permission to change direction.
- Use what you’ve learned about yourself to make your direction more your own.
- Carry new information and greater self-awareness into your next creation.
Dr. Kelsey Miles is a scientist, songwriter, and speaker who uses scientific thinking and creative discovery to help people navigate uncertainty, challenge assumptions, and discover what’s possible.
As a chemist in research labs and lecture halls, and as a musician in recording studios and on stages across the country, Dr. Miles discovered the same lesson: breakthroughs come from experimentation, not certainty. That lesson became the foundation for her CEO Framework (Calibrate. Experiment. Optimize.) and signature programs, Signal Over Noise and Life Experiments™. Through live chemistry and original music, Dr. Miles creates an experience unlike any other. Audiences don't just learn the framework. They experience it in real time.
Dr. Miles is the 2026 Avila University Professor of the Year, an award-winning songwriter, and a 2025 International Blues Challenge Semi-Finalist. She brings a rare combination of scientific thinking and creative insight to audiences across the country.
Think Like a Scientist. Create Like an Artist.
Date and Time
Tuesday Nov 10, 2026
11:30 AM - 1:00 PM CST
11:30 AM - Arrival, Mingle and Enjoy Lunch
12:00 PM - Program Begins
1:00 PM - Program Ends
Please Provide Us Notice If You Need To Cancel:
We understand that schedules change. If you have registered for this program and can no longer attend, we greatly appreciate you notifying us of your cancellation by completing our cancellation form or emailing hello@centralexchange.org at least 48-hours prior to the program if possible. This is so we can adjust our catering order to help eliminate food waste and prepare accordingly. Thank you!
Location
IN-PERSON AT UMKC BLOCH EXECUTIVE HALL
5108 CHERRY STREET, ROOM 414
KANSAS CITY, MO 64110
Parking is available in the Cherry Street Garage and you are able to park in Lot 12, Lot 14 or Lot 19, or any of the other lots in red on the map (see here).
Fees/Admission
FREE for CX Members Interested in becoming a CX Member? Read more about membership here and be our guest for up to two CX Programs or Exchange Circles.
1 Voucher for CX Partners
$35.00 for Non-members
No refunds.
Contact Information
Allison Baker
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