art-science: reflections on the interface between arts and sciences

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    Dave Murray-Rust

    [email protected]

    www.mo-seph.com

    art-science: reflections on the interface

    between arts and sciences

    mailto:[email protected]:[email protected]:[email protected]:[email protected]
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    Musical AgentsModelling musical

    communication withinteractive software agents

    http://www.mo-seph.com/academic/agentbox

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    InteracTablePlayful multitouch, multimodal

    search aggregation

    //www.mo-seph.com/projects/interactable

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    ChaoDependantHarmonic motion, magnets, sensors, handblown

    glass, interactive soundscape

    http://www.mo-seph.com/projects/chaodependantwith Agelos Papadakis (http://www.agelospapadakis.com/) and

    Owen Green (http://owengreen.net/)

    http://www.mo-seph.com/projects/chaodependanthttp://www.mo-seph.com/projects/chaodependanthttp://www.mo-seph.com/projects/chaodependanthttp://www.mo-seph.com/projects/chaodependant
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    Mobecule

    s

    Virtual, geolocated molecules

    http://www.mobecules.org

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    Why?

    (for me) For the joy!

    Bring out hidden

    relationships andprocesses

    People and technology

    are fascinating Putting them together

    helps understand both

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    David Dunn acoustic ecology, The

    Sound of Light in Trees

    The first [genesis] was creative. For the pastseveral years, David Dunn has been developinginnovative, low-cost microphones encouragingan appreciation of the vast spectrum of sounds in

    our world that are outside of our normal humanexperience

    The second genesis [was] the use of acoustics inecology research his recordings were often able

    to identify [bark beetle] population booms beforepheromone traps, the previously accepted bestmethod

    http://www.acousticecology.org/dunn/solit.html

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    Art, Science,

    Technology

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    Trajectories,

    Dialogues

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    Agent Based Modelling of Land Use

    Social surveys to understandhuman behaviour

    Stakeholder engagement

    Integrate different models Models as knowledge

    integration tools

    Cant assume stationarity;

    uncertain future Develop scenarios

    Rounsevell, M. D. A. & Metzger, M. J. Developing qualitative scenario storylines for environmental change

    assessment Wiley Interdisciplinary Reviews: Climate Change, 2010

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    Thinking about the future

    Modelling now, projecting current trends

    Scenario analysis Narratives and models,

    Kahn: the most likely future isnt

    Foresight, collaborative fiction/serious gaming

    e.g. IFTF, World without Oil

    Science Fiction e.g. Paolo Bacigalupi, calorie

    economy; Charles Stross, AI and behaviour

    modification

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    Speculative Spectrum

    Modeling the future

    The future is already here its just not very evenly distributed William Gibson

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    Latour: science and society

    Science vs Research Science produces objectivity byescaping as much as possible from the shackles ofideology, passions, and emotions; research feeds on allof those to render objects of inquiry familiar.

    Collective experiment: French association for thetreatment of muscular dystrophy (AFM) They tookover. They tailored a science policy adjusted to whatthey perceived as their needs. Far from expectingcertainty from science, they accepted that they must

    share risk in research. 3 floors: Patients | Scientists | Admin

    Latour, B. (1998). From the world of science to the world of research? Science, 280(5361):208.

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    Contextualising Science

    Notovny et al Rethinking Science (2001)

    Science needs to be contextualised for societyMode2 knowledge production

    Which requires interdisciplinary practice: transcendsdisciplinary boundaries

    Connects scientific institutions with publics

    Soften distinction between making knowledge and

    using knowledge Allows for tak[ing] subjective experience seriously

    displacement of a culture of autonomy of science by aculture of accountability

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    Born and Barry: Logics of

    Interdisciplinarity

    Interdisciplinarity is not novel!

    And interdisciplines become disciplines

    But currently in focus demand formore integration with science

    Look at contemporary rationales about

    the purposes of interdisciplinarity

    Born and Barry, 2010, ART-SCIENCE: from public understanding to public experiment, J. Cultural Econ

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    Born and Barry: Logics of

    Interdisciplinarity - Accountability

    Making science understandable and

    hence accountable to society

    Public engagement, aestheticization

    Research is a given, public assembled in

    response to it

    Born and Barry, 2010, ART-SCIENCE: from public understanding to public experiment, J. Cultural Econ

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    Logics of Interdisciplinarity -

    Innovation

    Science is expected to contribute to

    industrial innovation and economic

    growth

    Social science fosters links between

    scientific and technical progress and the

    market

    Barry, A.; Born, G. & Weszkalnys, G. Logics of interdisciplinarity Economy and Society, Taylor & Francis, 2008

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    Logics of Interdisciplinarity:

    Ontological

    Effecting change in relations between

    artists and scientists, their objects and

    publics

    Public becomes part of the experiment,

    and can self-select

    Born and Barry, 2010, ART-SCIENCE: from public understanding to public experiment, J. Cultural Econ

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    Crowdsourcing vs Citizen Science

    Crowdsourcing: Large group of public participants Social rewards for participation

    Generally carrying out a specific, welldefined task, or being an experimentalsubject

    Mostly used to provide data points

    Citizen Science: Participants more active

    Less didactic can drive the researchmore

    We prefer to call this [Galaxy Zoo] citizen sciencebecause its a better description of what youredoing; youre a regular citizen but youre doingscience. Crowd sourcing sounds a bit like, well,youre just a member of the crowd and youre not;youre our collaborator. Youre pro-activelyinvolved in the process of science by

    participating. (Kevin Schawinski)

    http://www.galaxyzoo.org/http://www.astro.yale.edu/ks57/home.htmlhttp://www.astro.yale.edu/ks57/home.htmlhttp://www.galaxyzoo.org/
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    Global Change: Big Data, Big Models

    How to visualise interactions

    between a billion agents?How to make sense of globaldatasets

    What does it take to makemodels and their outputsunderstandable to the public?Interaction? Interfaces?Participatory Simulation?

    How to convey provenance,

    linkages, uncertainty Going beyond the visual:

    tangible and ambientinterfaces

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    Important Things - Process

    Clarity, and truthfulness to the science, and theprocess behind it

    Not subjugating artists or scientists to each other Reflect on the science and not taking it as a fixed

    point for creation of pieces, but starting adialogue

    Transformative: alter the relations between artistand scientist, and with the public

    Embracing change

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    Important Things - Output

    Encourage questions fluid hypothesis

    generation and testing

    Collective experiments, shared spaces,

    interaction

    Playfulness

    Multilayered, but not complexified

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    Challenges

    Assessment, criteria: novel forms of qualitycontrol which undermine disciplinary forms ofevaluation

    Subjectivity: how to engage with personalexperience

    Understanding the rigor of different

    perspectives Communication

    Staying relevant

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    Final Thoughts

    Ensuring a dialogue between science and art

    Public experimentation over publicengagement; broadening science rather than

    communicating it

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    Thanks for Listening

    Dave [email protected]

    www mo-seph com

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]