Data & Publics: Invisible Crowds

Classmate Michael Blum and I have developed a project proposal for a public intervention project that utilizes data art/visualization called ‘Invisible Crowds’.

Invisible Crowds aims to raise awareness of the sheer volume and diversity of  invisible waves that are constantly bouncing around public spaces.

For this proposal we developed the above presentation and a more detailed writing below.

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The Color of Music

Building upon my artist lyrics analyzer project, I made a small web app that searches artist lyrics for the colors that they mention in their songs.

You can try it yourself here.

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Lyrics API: Artist Word Choice

Using data from the musixmatch API, I have created a tool that shows what words musical artists use most in their lyrics. It uses a combination of jQuery and D3 libraries to work as a single-page “app”. Try it here.

The web “app” works by finding the artist you search for, and running through every lyric it can find by the artist to develop a lexicon. Once that lexicon is built, you can click on the box that is created to view statistics about their most-used words.

You can also view the most-used overall by clicking the “All Artists” button.

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Cybersecurity Report: Connected DIY Devices

The instant an Arduino or Raspberry Pi connects to the web (with a public IP) it is out there for anyone – or anything – to detect.

In our connected devices class, my classmates and I all saw this vulnerability firsthand. After leaving our connected thermostats on for a week, we experienced our devices being scanned and sometimes attacked by machines from across the globe.

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Planet Music

Planet Music is a sound visualizer on the moon! The current version has a set playlist of 6 songs that can be activated with the media player buttons. The space scene reacts to the sound using a fast Fourier transform (FFT). Here is a sample video:

Try it for yourself here (Note: please allow ~20 seconds to load. Currently not optimized for mobile)

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Sunrise, Sunset

Above is a little illustration that depicts the sunrise and sunset times (listed on the y-axis) of two locations in the world for each day in the year (spread across the x-axis).

See the code and web version here (press the play button – not optimized for mobile).

In this current case it is the 2016 sunrises and sunsets from Eastern Standard Time (EST) – aka New York –  and Central European Time (namely Switzerland & France).

At many stages in my life, for different reasons, I have found myself doing a mental calculation to imagine this time difference, and specifically when our normal waking hours overlap.

These days, both a friend and my girlfriend’s father are stationed in Switzerland.

This illustration is designed to show that our days share a lot of the same sunlight – especially in the summer. So even if we are far away, we can often look up at the same thing in the sky. ?

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