h·cek: Computing a Hacker Experience

Presented at ShmooCon XIII (2017), Jan. 14, 2017, 2 p.m. (60 minutes).

We live within data; using it to describe who we are, provide context what has happened, and filter current events; we use it to build new experiences and environments. Join us for a discussion of the art and technology behind h�ek, a unique interdisciplinary work that was designed to explore the unique narratives of hackers, and create a new vision of cyber spaces using data to inform all aspects of the piece from the sound to the visuals to the physical sculpture.

An original exhibit recently launched in New York, h�ek combines physical installation, VR experience, audio and visual pieces. The artists leveraged raw feeds of data to inform creation of an immersive installation that positions larger impact towards metaphors of networked landscape, security, and wayfinding. Join Melissa Clarke, Margaret Schedel, and Allison Miller as they share the framework, techniques, and narrative approach used to craft metaphorical art from real data extracted from system logs. Attendees will learn how artists are using computational techniques and tools to reshape boundaries between engineering and art, and extract compelling immersive experiences out of emerging social and networked systems.


Presenters:

  • Margaret Schedel
    Margaret Schedel is a composer specializing in interactive media. Schedel is a joint author of Electronic Music and edited an issue of Organised Sound. Her research focuses on gesture in music, sustainability of technology in art, and data sonification.
  • Melissa Clarke
    Melissa F. Clarke is an interdisciplinary artist whose work employs data and generative self-programmed environments. Clarke works at the intersections of data, science, and art. She creates multimedia generative installations, performances, and printed images.
  • Allison Miller
    Allison Miller (@selenakyle) has worked to protect consumers and platforms from online threats for over 15 years, leveraging her expertise in security analytics, risk, and detection technologies.

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