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Mike Urmeneta, Ed.D.

The Magic at the Intersections: Unleashing the Power of Interdisciplinary Thinking

by Michael

Embrace the power of interdisciplinary intersections. As a consequence of having three degrees in as many disciplines (long story), I’ve discovered that true magic frequently occurs at the intersections, where various disciplines overlap and intersect. Don’t remain confined to your own field; venture beyond and explore the peripheral areas. Extract the best elements from one domain and examine how they can transform another.

“Closing the loop” is valued both in the engineering and educational assessment worlds. As is “systems thinking,” long a cornerstone in engineering. It was interesting to see it pop up as a management fad a little while back.

The world is a complex tapestry requiring specialized knowledge, but the true gold lies in the crossroads between disciplines. So, look beyond what’s given and check out the edges. Unearth the hidden gems that lie at the intersections. Your next groundbreaking idea could be just a crossover away!

Here’s a hands-on illustration of the power of interdisciplinary thinking. At home and at work, I don’t like to be confined to a single tool or method. Recently, I was captivated by those mesmerizing AI-generated spiral illusions. Inspired by a tweet from Dr. Alvaro Cintas, I decided to craft my own version. I started with a simple selfie, then used Profile Pic Maker to remove the background and convert the image to black and white. Next, I utilized Illusion Diffusion on Hugging Face to generate a low-resolution version of the illusion. Not stopping there, I employed Gigapixel AI to enhance the image’s resolution (There’s probably a free option, but was already part of my photography workflow). Finally, I turned to Photoshop, where I leveraged Generative AI to expand the image further. The result? A personalized, high-quality selfie illusion that showcases the magic that happens when you’re willing to cross boundaries and integrate diverse tools and techniques. Give it a try. This whole thing only took about 15 minutes. It took longer to write and edit this post. Don’t limit yourself—explore, experiment, and create! 

Step 1: Original Pic

Mike

Step 2: Pic without background and converted to black and white

MikeBW

Step 3: Pic uploaded to Illusion Diffusion with AI-generated Christmas village

MikeChristmasFun

Step 4: Pic sharpened and upscaled from 1024×1024 to 2048×2048 using Gigapixel AI

MikeChristmasFunEnhanced

Step 5: Pic expanded to 3990 x 2048 using Photoshop’s generative expand

MikeChristmasFunEnhancedExpanded

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About

Dr. Mike Urmeneta is an award-winning researcher, educator, data scientist, and storyteller with a passion for helping institutions improve and succeed through agile and collaborative approaches to research and analysis. He has extensive experience working with universities and has been recognized for his work by leading organizations such as the Association for Institutional Research, the National Association of College and University Business Officers, and EDUCAUSE. His diverse background and ability to build strong relationships with a variety of stakeholders have allowed him to make a significant impact on institutional policies, procedures, and priorities. Most recently, as an instructor for AIR’s Data Literacy Institute, he has been preparing leadership teams to embrace a culture of data-informed decision-making. Prior to this role, he served as the director of analytics and business intelligence for the New York Institute of Technology, providing strategic guidance to various departments, the president’s office, and the board of trustees. Dr. Urmeneta has also held various administrative roles at New York University, including in admissions, financial aid, enrollment and retention, alumni relations, and development. He holds a Bachelor of Science in Mechanical Engineering and a Master of Science in Management from NYU, and a Doctor of Education degree from Northeastern University, where he received the Dean’s Medal for Outstanding Doctoral Work for his research on first-generation college students.

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