Subtlety and Softness                       in data-driven kinetic artwww.translatingnature.org
www.translatingnature.org
Mark Goulthorpe              UVA                                           Trokia                              Christiane ...
The Lake              Video of an audio visual immersive                 installation that translates fish              mo...
Data Definitions    Data Type        Summary                                                                Example    Real...
Data Definitions    Data Type               Summary    Generated               Data created by machine (e.g. code)    Art+C...
Data Definitions    Data Type               Summary    Real-time               data that is created, captured and dissemina...
Data Definitions    Data Type               Summary    Live (natural)          data whose origin is directly linked to natu...
Data Definitions    Data Type        Summary                                                                Example    Real...
Dataset Analysis    Datasets should have character assessed based on these parameters:    Accuracy         they hold direc...
“After attempting to read 20,000                      comma-separated lines of                      apparently open-data, ...
Biological Motionwww.translatingnature.org
Biological Motionwww.translatingnature.org        T Shipleyl: http://astro.temple.edu/~tshipley/ptlt_movies/run5.mov
Empathy              Can you feel for geometric shapes?www.translatingnature.org
www.translatingnature.org   Heider & Simmel, 1944 (copy at: https://vimeo.com/48908599)
Biological Form                                                     Julie Freeman                                         ...
Julie Freeman                            Lepidopteralwww.translatingnature.org
www.translatingnature.org   Video: https://vimeo.com/36718991
julie@translatingnature.org                      www.translatingnature.org                slides & future Ph.D. research a...
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Softness & Subtlety in Data-driven Art_Julie Freeman Strata 20121002

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Softness & Subtlety in Data-driven Art_Julie Freeman Strata 20121002

  1. 1. Subtlety and Softness in data-driven kinetic artwww.translatingnature.org
  2. 2. www.translatingnature.org
  3. 3. Mark Goulthorpe UVA Trokia Christiane Keller Bruce Munro Julie Freeman Philip Beasleywww.translatingnature.org
  4. 4. The Lake Video of an audio visual immersive installation that translates fish movement to audio and animation.www.translatingnature.org Actual documentation at translatingnature.org/lake
  5. 5. Data Definitions Data Type Summary Example Real-time data that is created, captured and disseminated in an "immediate" smart-meter reporting electricity usage every 30 seconds. time-frame relative to the context of its use. Note that the time Feeds from sensors resolution may vary dramatically based on the use- case/relevance. This data changes over time Streamed the technical means of delivering real-time data as a continuous live video or audio. Large data-sets that only shards are stream. The primary use-cases are where there is no requirement required of at any one time for data storage, or that the data-sets involved are too large to be manipulated in any other manner Static data which does not change once created historical global population size On-demand data made available only on request (by machine or user) weather data for the past 24 hours as a single CSV file Temporal a) data which is time-based in its nature a) the value of a grain of rice over time b) data which is relevant to a specific time b) the average temperature during an eclipse Spatial a) data which describes or is derived from a space. a) GPS coordinates from a walk around a city b) data which is relevant to a space b) the number of people visiting the Tate Modern Transient data which may only exist for a short period of time the radio signals received from an exploding star Live (natural) data whose origin is directly linked to nature and without species migration reported by a sensor, a heart-rate monitor conscious origin. tweeting its output, the temperature of the ocean, the sound of a bird-call Personal data produced by or about an individual a) family photos b) Googles search analysis profile of an individuals interests Social data produced by or about a social group or society the economy of the eurozone. Life expectancy in the UK Commercial data produced by or about a corporate entity company financial information for the past 10 years Causal data in which it is (or is made) obvious to the observer what its a vocal recording origin is Processed data which has been altered in some way (e.g. by an algorithm) simulated model of a tornado Generated Data created by machine (e.g. code) algorithmic music, Conways Game of Lifewww.translatingnature.org Ref: J Freeman, Translating Data, 2012
  6. 6. Data Definitions Data Type Summary Generated Data created by machine (e.g. code) Art+Com Troika Manta Rhei Shoalwww.translatingnature.org
  7. 7. Data Definitions Data Type Summary Real-time data that is created, captured and disseminated in an "immediate" time-frame relative to the context of its use. Note that the time resolution may vary dramatically based on the use-case/relevance. This data changes over time Philip Beasley Hylozoic Ground + detailwww.translatingnature.org
  8. 8. Data Definitions Data Type Summary Live (natural) data whose origin is directly linked to nature and without conscious origin. Julie Freeman The Lake + detail Documentation: http://www.translatingnature.org/lake/www.translatingnature.org Animated screengrabs: https://vimeo.com/album/2097031
  9. 9. Data Definitions Data Type Summary Example Real-time data that is created, captured and disseminated in an "immediate" smart-meter reporting electricity usage every 30 seconds. time-frame relative to the context of its use. Note that the time Feeds from sensors resolution may vary dramatically based on the use- case/relevance. This data changes over time Streamed the technical means of delivering real-time data as a continuous live video or audio. Large data-sets that only shards are stream. The primary use-cases are where there is no requirement required of at any one time for data storage, or that the data-sets involved are too large to be manipulated in any other manner Static data which does not change once created historical global population size On-demand data made available only on request (by machine or user) weather data for the past 24 hours as a single CSV file Temporal a) data which is time-based in its nature a) the value of a grain of rice over time b) data which is relevant to a specific time b) the average temperature during an eclipse Spatial a) data which describes or is derived from a space. a) GPS coordinates from a walk around a city b) data which is relevant to a space b) the number of people visiting the Tate Modern Transient data which may only exist for a short period of time the radio signals received from an exploding star Live (natural) data whose origin is directly linked to nature and without species migration reported by a sensor, a heart-rate monitor conscious origin. tweeting its output, the temperature of the ocean, the sound of a bird-call Personal data produced by or about an individual a) family photos b) Googles search analysis profile of an individuals interests Social data produced by or about a social group or society the economy of the eurozone. Life expectancy in the UK Commercial data produced by or about a corporate entity company financial information for the past 10 years Causal data in which it is (or is made) obvious to the observer what its a vocal recording origin is Processed data which has been altered in some way (e.g. by an algorithm) simulated model of a tornado Generated Data created by machine (e.g. code) algorithmic music, Conways Game of Lifewww.translatingnature.org Ref: J Freeman, Translating Data, 2012
  10. 10. Dataset Analysis Datasets should have character assessed based on these parameters: Accuracy they hold direct, factual information as individual data points Utility they have potential to provide utility by providing new content or insight through their collective whole Provenance for scientific datasets they should be reproducible, others should be collated from, or by, reliable sources. All should be unbiased Context they provide meaning through their relationships to other datasets (for comparative interest, for ratification) Relevancy they hold data points that are relevant to each other, and to someone or something (a machine) Accessibility how and by whom can the dataset be accessed and used (licensing rights, availability) Format structure and format (technical data structure and/or data definition) Dimensionality how many dimensions are represented (e.g. a point against time, number of parameters). Sample size order of magnitude of the number of data points (e.g. 1, or 1 million)www.translatingnature.org Ref: J Freeman, Translating Data, 2012
  11. 11. “After attempting to read 20,000 comma-separated lines of apparently open-data, we understood that power revealed itself through boredom.” —from YoHas Invisible Airs project http://yoha.co.uk/invisiblewww.translatingnature.org
  12. 12. Biological Motionwww.translatingnature.org
  13. 13. Biological Motionwww.translatingnature.org T Shipleyl: http://astro.temple.edu/~tshipley/ptlt_movies/run5.mov
  14. 14. Empathy Can you feel for geometric shapes?www.translatingnature.org
  15. 15. www.translatingnature.org Heider & Simmel, 1944 (copy at: https://vimeo.com/48908599)
  16. 16. Biological Form Julie Freeman Bird & The Moonwww.translatingnature.org Video: https://vimeo.com/32855036
  17. 17. Julie Freeman Lepidopteralwww.translatingnature.org
  18. 18. www.translatingnature.org Video: https://vimeo.com/36718991
  19. 19. julie@translatingnature.org www.translatingnature.org slides & future Ph.D. research at www.translatingdata.orgwww.translatingnature.org

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