art-science: reflections on the interface between arts and sciences
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Transcript of art-science: reflections on the interface between arts and sciences
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8/3/2019 art-science: reflections on the interface between arts and sciences
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Dave Murray-Rust
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]