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Craig Long on how life is in the moments you didn't expect, quieting your inner intensity, helping others achieve complex goals when they don't know where to start, remote working, and disconnecting from technology.
Craig grew up in the mountains of Wyoming wanting to be an architect, and studied architectural engineering with an emphasis in mathematics at University of Kansas. He currently works at Autodesk, Boston, developing software for other designers that — like he did for several years at Zahner — heavily rely on computers to build intricate designs.
After knowing Craig for a few years, I couldn't agree more with Kevin Rooney's description: "Craig is the mentalist. He can tear apart a problem to its root core to reveal the best opportunities. He can move easily between general ideas to technical execution in order to make [things] happen. He is also an incredibly kind person."
Connect with Craig at (@craigalanlong).
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Show notes, transcripts, and past episodes at gettingsimple.com/podcast.
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Co-creator of "Processing" and founder of Fathom Information Design — Ben Fry (@ben_fry) — on the beginnings of the Processing programming environment, the use of information design and visualization to understand complicated data problems, and his approach to design, life, & work.
Ben Fry is founder and principal of Fathom Information Design, a studio in Boston focused on understanding complicated data problems. He holds a Ph.D. from the MIT Media Laboratory and is a Lecturer at MIT. Fry has authored and co-authored multiple books and develops "Processing" — the programming environment he co-created with Casey Reas used by artists, engineers, scientists, and students all over the world since 2001. His work can be found in museums, feature films, research labs, and the portfolios of Fathom's clients such as Nike, JP Morgan, DARPA, and National Geographic. In 2011, Fry was honored to visit the White House to receive the National Design Award for Interaction Design.
Connect with Ben at Fathom.info, benfry.com, and Processing.org.
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Show notes, transcripts, and past episodes at gettingsimple.com/podcast.
Theme song Sleep by Steve Combs under CC BY 4.0.
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Artist, designer, and educator Jiyoo Jye on the struggles of making art and choosing your projects; education at an innovation school as a creative; when to share your work and the role of feedback; media consumption and technology; and her approach to a simpler, greener life.
Jiyoo is a visual artist, designer & educator. She works at NuVu Innovation School, where students learn within an architectural Studio model and create multi-displinary & collaborative projects. Ji has a Master's in Design Studies from Harvard University, Graduate School of Design and a Bachelor's of Fine Arts from Carnegie Mellon University, School of Art. She has previously worked for Area9 Lyceum, a physician-led software company specializing in adaptive learning technology. While finishing her graduate study, she worked with the Harvard Fogg Museum's, Division of Modern and Contemporary Art in creating an online archive for the American sculptor, Christopher Wilmarth. She has also been an editor & co-author for the Zofnass Program for Sustainable Infrastructure and a Communications fellow for the MIT Office of Sustainability.
Connect with Jiyoo at Sweetish Segment
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Theme song Sleep by Steve Combs under CC BY 4.0.
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Researcher Nathan Melenbrink on his research on simple robots, teaching, his efforts to bring news neutrality to the internet, liking new things, acquiring taste, and much more.
Nathan is a Fellow in Computer Science at the Wyss Institute, where his research focuses on swarm robotics for construction. He has taught courses related to design, computation, robotics and CAD/CAM at institutions such as MIT, Virginia Tech, and the University of Hong Kong, and is currently an Adjunct Professor at Northeastern University. His industry experience as an architect and computational designer includes offices such as UNStudio, Playze, and ECADI. He holds a Bachelor of Architecture from Virginia Tech and a Masters in Design Studies in Technology from Harvard University’s Graduate School of Design. He is a Doctoral Candidate at the Institute for Computational Design and Construction at the University of Stuttgart.
Connect with Nathan at nathanmelenbrink.com and at @_n804 on Instagram.
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Theme song Sleep by Steve Combs under CC BY 4.0.
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Host Nono Martínez Alonso gives a brief overview of what's new and what's coming to Getting Simple over the next months. Discover who's up next on The Getting Simple Podcast in September, October, and November 2018.
This month's interview features Ian Keough — The Father of Dynamo — who shares insights on working remotely full time, getting started with a startup, the flow state, and a lot more.
New interviews are already underway, listen to this mini-episode and discover who will be on The Getting Simple Podcast in September, October, and November.
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Theme song Sleep by Steve Combs under CC BY 4.0.
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Hypar's Ian Keough on automating the generation of the built environment to help stakeholders make better decisions faster, writing code from his garage.
Ian Keough (@ikeough) is the founder of Hypar. He writes code from his garage to automate the generation of the built environment to help stakeholders make better decisions faster. Trained as a fine artist and architect—and known as The Father of Dynamo—Ian believes efficiency breeds quality and automation yields better, higher-quality products. This episode uncovers the Ian Keough beyond Dynamo—including his life habits, tactics to get into the flow state and avoid distractions, and his new adventure to disrupt the architecture, engineering, and construction industry.
As a sculptor, Ian built big commission artworks for artists in New York—rationalizing them with a pointing machine—with the help of early versions of AutoCAD.
Before Hypar, Ian worked in the automation of building information modeling (BIM) workflows at Buro Happold, developing tools for the construction industry at Vela Systems, and developing Dynamo at Autodesk.
He is surprised that the technology we envisioned years ago is not here yet and that, instead, all sorts of sophisticated and complicated technologies solve problems we don't have.
I had a lot of fun talking to him. You can get a sense of the topics we discussed in the episode notes. We talked about daily habits, how he reserves time to exercise selfishly (and tries to run up to five times a week and surf at least once), his amazing commute, having a garage as an office, his use of social media, how he understands success, and a lot more.
You can find Ian on Twitter at @ikeough and @HyparAEC, and at Hypar.io.
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Submit a question about this or any previous episodes.
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If you enjoy the show, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds and really helps.
Show notes, transcripts, and past episodes at gettingsimple.com/podcast.
Theme song Sleep by Steve Combs under CC BY 4.0.
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Saurabh Mhatre talks about the simplicity behind deployable systems, the chaos of taking pictures, mindful photography, material science, social media, productivity tools, and more.
Saurabh grew up and studied architecture in Mumbai. He holds a Master in Design Studies with a focus on technology from the Harvard Graduate School of Design, in Cambridge, Massachusetts, where he currently explores how flat deployable mechanisms can morph into three-dimensional shapes with minimal actuation, to enable ephemeral uses of mundane items and facilitate their storage and shipment, as part of his research at the Material Processes and Systems (MaP+S) Group.
He enjoys working with people from different disciplines, ranging from biological engineering to material science, and works across multiple material scales, from the nano-scale of medical devices to large form-factor of deployable shelters.
Saurabh also shares with us his love for photography, how he interacts with social media, and what productivity tools help him keep track of his work.
You can find Saurabh on Facebook, his photos at @sm8928 on Instagram, and his most recent work at saurabhmhatre.com.
I'd love to hear from you.
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If you enjoy the show, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds and really helps.
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Theme song Sleep by Steve Combs under CC BY 4.0.
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Julia Hayden talks about how our actions affect the planet, ways to fight our throw-away society and minimize waste, her love for tiny houses, and a lot more.
Self-defined environmental activist, Julia believes her studies at Connecticut College in Environmental Studies and Botany made the ways in which her actions affect the planet be present in her daily life.
She is conscious of the lifecycle of everything she consumes (from production to landfill) and emphasizes the power of communities to give away, lend, share, and repair what breaks to minimize waste.
Julia dreams of living in a tiny house, and believes in the use of community spaces and public parks as a way to take up less space in the city.
I'd love to hear from you.
Submit a question about this or any previous episodes.
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If you enjoy the show, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds and really helps.
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Theme song Sleep by Steve Combs under CC BY 4.0.
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Peter Boyer (@ptrbyr) talks about his efforts to run away from notifications and centralized technologies toward decentralized, encrypted-by-default alternatives; and also about self-driving cars, being in relation with nature, addictive technologies, uses of machine learning for design, and a lot more.
Peter defines himself as a software engineer with experience in distributed systems, programming languages, and computer aided design on the web. Self-declared "incapable of getting bored," he believes in learning by doing and by asking naive questions, and enjoys how, in computer programming, experimentation is free — unlike in other disciplines such as architecture or scientific research.
While working at Autodesk, he built custom tools for artist Janet Echelman to build city-scale, net sculptures; was a core developer on the open-source Dynamo product; and was nominated, company-wide, for Innovator of the Year in 2016, due to his work on distributed systems with technologies like Go, gRPC, AWS, or Docker.
Previously, he built custom applied numerical optimization tools in C++ at Gehry Technologies for the fabrication and design of buildings.
While studying a Master of Architecture at the Harvard Graduate School of Design, Peter cross-enrolled in multiple software engineering and math courses at the Massachusetts Institute of Technology (MIT), like Geometric Computation or Design and Analysis of Algorithms, and proposed—in his master's thesis—a system to trace the inhabitation of a building throughout its history, as a way to positively affect the lives of its occupants.
You can follow Peter on Twitter and Github.
I'd love to hear from you.
Submit a question about this or any previous episodes.
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If you enjoy the show, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds and really helps.
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Theme song Sleep by Steve Combs under CC BY 4.0.
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Andrés Colubri (@codeanticode) on how he manages to do seemingly different things—such as art, computational biology, or open-source development—by connecting them around one overarching theme.
Andrés grew up in Buenos Aires, Argentina, where he obtained his doctoral degree in mathematics at the Universidad Nacional el Sur.
After living in the United States for a while, he went back to Buenos Aires to distance himself from the academic scene and revisit his interests on the visual arts, drawing, and animation. It was then when he crossed paths—and got hooked—with the world of creative coding, where art and computation join as one.
On his way back to the United States, Andrés got heavily involved with creating art with code, and became a major contributor to the Processing open-source project—what would become an international entry point to computer programming for artists and designers.
He leads the Processing for Android initiative, and recently released Processing for Android: Create Mobile, Sensor-Aware, and VR Applications Using Processing.
During weekdays, Andrés walks (or bikes) to work at the Sabeti Lab in Cambridge, Massachusetts, as a computational scientist—where he helps develop methods to detect and investigate natural selection in the genome of humans and other species, and to examine the genetic factors and signals of natural selection in pathogens such as the Ebola virus.
I'd love to hear from you.
Submit a question about this or any previous episodes.
Join the Discord community. Meet other curious minds.
If you enjoy the show, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds and really helps.
Show notes, transcripts, and past episodes at gettingsimple.com/podcast.
Theme song Sleep by Steve Combs under CC BY 4.0.
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