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    Content by Mika Satomi and Hannah Perner-Wilson
    The following institutions have funded our research and supported our work:

    From 2013-2015 Mika is a guest professor at the eLab at Kunsthochschule Berlin-Weissensee

    From July - December 2013 Hannah was a researcher at the UdK's Design Research Lab

    From 2010-2012 Mika was a guest researcher in the Smart Textiles Design Lab at The Swedish School of Textiles

    From 2009 - 2011 Hannah was a graduate student in the MIT Media Lab's High-Low Tech research group led by Leah Buechley


    In 2009 Hannah and Mika were both research fellows at the Distance Lab


    Between 2003 - 2009 Hannah and Mika were both students at Interface Cultures
    We support the Open Source Hardware movement. All our own designs published on this website are released under the Free Cultural Works definition
    Workshops

    Material Mechanisms for Utopian Uniforms

    13-17th December 2016 hosted jointly by Interface Cultures and Fashion and Technology departments at the Art University Linz, Austria

    This workshop is only open to university students.

    Fashionable Technology I

    Textiles are one of the oldest forms of technology, we’ve been wrapping our bodies in material for 100,000 years. As our environment changes, we develop new mechanisms to functionally and fashionably interface between ourselves and our surroundings. The technologies we develop in turn influence our surroundings, prompting us to continuously adapt.

    This course aims to situate recent developments in “smart textiles” within the historical framework of clothing technology and fashion. We want to give students a historical background and a good understanding of the technologies involved, as well as the skills to prototype and build their own designs.

    Through a series of short lectures and introductory activities, students will be introduced to smart textiles, wearable technology, soft circuits and electronic textiles. We encourage a learning-by-doing approach to making technology. Lectures will be brief, and the majority of course time will be spent in hands-on introductory exercises and prototyping and producing a final project.

    For the final project we will provide students with a conceptual framework, in which they should conceive, design and realise a working prototype. The framework will be announced at the start of the course.

    Flickr set >> https://www.flickr.com/photos/plusea/albums/72157674167996753


    Schedule

    Wednesday
    – 1 hour lecture that situates recent developments in “smart textiles” within the historical framework of clothing technology and fashion and introduces “Wearable Technology”

    Thursday
    – Read text >> http://dataprevention.net/
    – Discussion
    – Intro activity

    Friday
    – Discussion
    – Project development

    Saturday
    – Project development
    – Presentation
    – Documentation


    Further Reading and References

    The Data Prevention Manifesto

    …by the Plumbing Birds
    >> http://dataprevention.net/

    Textile/Clothing History

    >> https://en.wikipedia.org/wiki/History_of_clothing_and_textiles
    >> http://www.crystalinks.com/earlyfabric.html
    >> http://news.nationalgeographic.com/news/2013/09/130911-neanderthal-fashion-week-clothes/
    >> https://en.wikipedia.org/wiki/Timeline_of_clothing_and_textiles_technology

    Wearable Tech History

    >> https://www.media.mit.edu/wearables/lizzy/timeline.html
    >> http://www.wareable.com/wearable-tech/a-brief-history-of-wearables

    Wearable Computing Blogs

    >> http://ning.fashioningtech.com/
    >> http://talk2myshirt.com/
    >> http://fashnerd.com

    Open Sourcing Wearables: the Impact of Open Technologies and User Engagement in the Design of Body-Borne Interactive Products.

    >> https://zoescope.wordpress.com/2014/12/22/empowering-users-through-design-book/

    Data scientist Cathy O’Neil on the cold destructiveness of big data

    Big data promises fairness. With enough information about individuals and populations, we can design algorithms that will identify the best possible answer to a given question, free of human bias. Algorithms, after all, are not racist, sexist, or elitist. Or are they?
    >> http://qz.com/819245/data-scientist-cathy-oneil-on-the-cold-destructiveness-of-big-data/
    >> http://crownpublishing.com/news/weapons-math-destruction-cathy-oneil/#.WFfCPZLjI_0

    Quantified Self

    >> http://fourhourworkweek.com/2013/04/03/the-first-ever-quantified-self-notes-plus-lsd-as-cognitive-enhancer/
    >> http://www.forbes.com/sites/kellyclay/2013/01/06/ces-2013-the-year-of-the-quantified-self/#155b553b5e74
    >> http://quantifiedself.com/

    Ich habe nur gezeigt, dass es die Bombe gibt

    >> https://www.dasmagazin.ch/2016/12/03/ich-habe-nur-gezeigt-dass-es-die-bombe-gibt/

    UK governments Data Prevention Act

    >> http://www.legislation.gov.uk/ukpga/1998/29/contents

    Sense Your City

    “In just a few decades, we’ve turned into a data-producing species. According to some estimates, there is now more data produced every two days than in all of history prior to 2003. The promise is this: If we could just unlock and understand this data, our cities would be more efficient, our economy more vibrant, our lives better.
    But data is not an easy thing to grab onto. It can be misinterpreted, skewed or plain wrong. It can contain noise that obscures the signal.”
    >> https://nextcity.org/daily/entry/big-data-art-projects-sense-your-city

    “To empower citizens to sense and make sense of their environment, we created a DIY sensor network to measure pollution, dust, light, sound, temperature, and humidity. We created an interactive map, opened the data, and asked you to use it to narrate a story about your city.”

    Big Picture Group Google Brain

    “We explore how information visualization can make complex data accessible, useful, and even fun. Our focus is on ways to illuminate the data and algorithms used in machine intelligence.”
    >> https://research.google.com/bigpicture/

    Ebru Kurbak and Mahir M. Yavuz – News Knitter

    “News Knitter converts information gathered from the daily political news into clothing. Live news feed from the Internet that is broadcasted within 24 hours or a particular period is analyzed, filtered and converted into a unique visual pattern for a knitted sweater.”
    >> http://casualdata.com/newsknitter/

    Dense captioning of Boston Dynamics Atlas Robot from Gene Kogan

    “This video demonstrates both the impressive capabilities of neural captioning systems, as well as the humorous (and maybe unsettling) limitations of such systems when their training data lack the vocabulary to fully describe the scene.”
    >> https://vimeo.com/173025372
    >> http://www.genekogan.com/

    Dense captioning of Boston Dynamics Atlas Robot from Gene Kogan on Vimeo.

    Memo Akten’s Keeper of our collective consciousness

    “I wrote a poem. It’s a collaboration with Google. Not people working at Google, but actual Google, the search engine.”
    >> http://www.memo.tv/keeper-of-our-collective-consciousness/

    Jill Magid: Trust

    “Treating the cameras as elements in a personal relationship with the municipal authorities, and letter-writing as a diaristic confessional abetting her own surveillance, the result is a captivating, mysterious exercise in oversharing, a performative self-portrait facilitated by using the technology of our oft-vilified constabulary panopticon.”
    >> http://jillmagid.paas.webslice.eu/projects/evidence-locker-2
    >> http://www.evidencelocker.net/story.php

    Addie Wagenknecht, “Anonymity,”

    Addie Wagenknecht, "Anonymity," 2007 from bitforms gallery on Vimeo.

    Lauren McCarthy’s Follower

    “Follower. Don’t go unnoticed. Follower is a service that grants you a real life Follower for a day. A no-hassle unseen companion. Someone that watches, someone that sees you, someone who cares.”

    >> http://lauren-mccarthy.com/Follower

    Kyle McDonnald’s Exhausting a Crowd

    >> http://kylemcdonald.net/
    >> http://www.exhaustingacrowd.com/london

    Kyle McDonnald’s and Lauren McCarthy’s People Keeper (pplkpr)

    “An app that tracks, analyzes, and auto-manages your relationships. It uses GPS and subtle changes in heart rhythm to keep track of when you’re coming and going and determine your emotional state. The data is connected to people you interact with to determine who should be auto-scheduled into or out of your life.”
    >> http://pplkpr.com/

    Jammer Coat

    >> http://www.coop-himmelblau.at/architecture/projects/chbl-jammer-coat/



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