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Musical AgentsModelling musical
communication with interactive software agents
http://www.mo-seph.com/academic/agentbox
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/)
InteracTablePlayful multitouch, multimodal search aggregation
http://www.mo-seph.com/projects/interactable
Mobecules
Virtual, geolocated moleculeshttp://www.mobecules.org
Why?(for me)
• For the joy!• Bring out “hidden”
relationships and processes
• People and technology are fascinating
• Putting them together helps understand both
http://www.mo-seph.com/projects/FieldRecordings
Why? (art-science)• Logics of interdisciplinarity:
– Accountability – making science accountable to society
– Innovation – fuels technological and economic growth
– Ontological – effecting change in relations between artists and scientists, their objects and publics
• Allowing “the public” to understand the science• Allowing scientists to reflect on their work• … but not taking science as a “fixed point” for
creation of pieces, but starting a dialogue• Alter the relations between artist and scientist,
and with the public
Born and Barry, 2010, ART-SCIENCE: from public understanding to public experiment, J. Cultural Econ
Thoughts for FuturICT
Narrative: (bridging techical/scientific and personal)• Science fiction as extrapolation of global sociotechnological
trends (e.g. Paolo Bacigalupi – calorie economy, genetic engineering[1])
• Social media as platform for collaborative, scenario based storytelling (IFTF, World Without Oil[2])
Embodiment:• ICT changes our sense of place, and of self• Thinking doesn’t just happen in the brain[3]• How does this change human behaviour[1] http://windupstories.com/[2] http://worldwithoutoil.org/[3] e.g. Andy Clark, http://opinionator.blogs.nytimes.com/2010/12/12/out-of-our-brains/
Thoughts: Visualisation and Interaction– How to visualise interactions
between a billion agents? How to make sense of global datasets
– What does it take to make models and their outputs understandable to the public? Interaction? Interfaces?
– How to convey provenance, linkages, uncertainty
– Going beyond the visual: tangible and ambient interfaces
Final Thoughts
• Ensuring a dialogue between science and art• Public experimentation over public
engagement
