This past semester, I enrolled in a Human Computer Interaction course with Professor Evan Peck at Bucknell University. Throughout the course, while developing and exploring various new applications and technologies, we studied the design process. I learned exactly what it takes to make a piece of technology that humans can successfully and enjoyably interact with, and now, I would like to share that with you. Here are the Five Principles that I believe to be paramount in the design/innovation process.

1. Ideate Fearlessly

Picasso Painting
Picasso Painting
Picasso Painting

Personally, I struggle a lot with perfectionism. I think that this is a common trait in a lot of designers and computer scientists, and I know that it can sometimes feel scary to start a project when the path forward/end destination is unclear. That is why ideation is an instrumental part of the design process: Ideation dispels fear and allows for greater creativity. In What’s the Story: Essays about art, theater and storytelling, American playwright and author Anne Bogart puts the importance of diving into one’s ideas…


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Visualization of the Effects of Climate Change

When tasked with looking for recent data visualizations that have been impactful to our population, I immediately thought of climate change. There have been countless predictions and evaluations of the general populous’s feelings toward climate change this year- each trying to underline the seriousness of the problems we are facing and evoke action from our citizens. Some visualizations have done a great job at emphasizing the time sensitivity of the pressing effects of climate change, such as the NYC Metronome, which displays the time counting down the “critical window for action to prevent the effects of global warming from becoming irreversible.” …


View My Entire Study at My Website: http://samiwurmmachinemusic.blogs.bucknell.edu/

& Check Out My Music: https://unitedmasters.com/sami-wurm6978

Here’s a quick overview of what I’ve learned as a musical artist working with AI:

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At the start of this study, I had no clue what the interface of machine learning and music looked like. It was a very murky, mysterious area that seemed cool but also tiring and complicated to get involved in. …

Sami Wurm

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