'All these emotions, all these yearnings, all these data ... · MoodPanda, Nike Fuelband, The...
Transcript of 'All these emotions, all these yearnings, all these data ... · MoodPanda, Nike Fuelband, The...
Platform openness, data sharing and visions democracy
Dr Aristea Fotopoulou (University of Sussex/ 2014
Visiting Scholar Science & Justice).
Center for Cultural Studies
University of California, Santa Cruz
5 February 2014 Supported by: RCUK Digital Economy NEMODE +, Tracking biodata: issues of ownership and sharing.
EPINET is an EU funded project under the seventh framework program, coordinated by the Centre for the
studies of the sciences and humanities, University of Bergen.
'All these emotions, all these yearnings, all these data':
Guiding questions & theoretical
perspective
Types of knowledge are is being made/epistemic communities? Role of
mediated self-disclosure and identity performance? Privacy/ownership
of personal data?
Theoretical perspective:
- A broader sociological perspective
- Ritualistic performance
- Naturalization of quantification with digital technologies
Methodological perspective: Social Analytics (developed with Nick
Couldry in forthcoming article Real Social Analytics)
Sensors, apps and all these data: the
landscape
Technologies and devices: Metadata, tracking and apps, quantification
e.g. Google Glass
50 billion devices and objects will be online in 2020
- embedded devices (ubiquitous computing)
- Internet of Things
- smart cities - buildings, roads, household appliances
Recognised brands
Fitbit, myZeo, BodyMedia, MapMyRun, RunKeeper,
MoodPanda, Nike Fuelband, The Eatery,
Luminosity’s Brain Trainer,NeuroSky, Emotiv
brain-computer interfaces (BCI)
Devices and promises
Clinical - reality vs grand narratives
• first bullet point still
• second bullet point here
• third bullet point
• fourth bullet point here
• fifth bullet point
• sixth bullet point
seventh bullet point
eight bullet point here
ninth bullet point
tenth bullet point here
eleventh bullet point here
twelfth bullet point here.
Big data
Large complex data sets
stored and managed
in the cloud
currently on the order of
zettabytes (10,000
gigabites) per year
Algorithmic living and right to be
forgotten
Privacy?
“effective right to oblivion confirms the need for a
paradigm shift in the traditional understanding of
private information/life, leading to a multidimensional
conceptualisation of the right to privacy” (Xanthoulis
2013)
'GE has wired hardware with innovative software using data to track patients and equipment. Brilliant Machines Are Transforming the Patient Experience'
From lab to living room
“[...] neoliberalist desires for quick fixes; a growing
desire for self-computational wearable and mobile
devices; common discourses linking data collection to
human progress; and reductionist consumer science
discourses that present the body and mind as
segmented, coherent, modular systems”
(Gardner 2013)
Tiziana Terranova
“Cultural and technical labor are not produced by
capitalism in any direct, cause-and-effect fashion; that
is …they have developed in relation to the expansion
of the cultural industries and are part of a process of
economic experimentation with the creation of
monetary value out of knowledge/culture/affect”
Sensors, apps and all these data: the
landscape
Users: self-tracking, bodyblogging and personal informatics
Other colours in scheme
Colour Scheme
•This colour
•This colour
•This colour
•This colour
•This colour
•This colour
•This colour
•This colour
•This colour
There is an app AND a sensor for that
Apple wants to let you know when to buy new shoes
Sensor-lands and Data-utopias
“Technology will be able to understand how you feel. The fridge will be
able to create recipes for you by knowing the blood sugar levels of
your home.” (BioBeats)
Sensor-lands and Data-utopias
Visualization of Keywords Used in Quantified Tracking Device Descriptions.
Not Just More Data—New Kinds of
Data!
Kallinikos, 2009: ‘data’ only ever become
‘information’ when they are interpreted in a
context that is defined relative to the interests of
particular actors.
BIG DATA ARE CULTURAL
Data not 'just numbers' : they are culturally produced
and interpreted (Gitelman, 2013, Bowker, 2005).
Web: http:// loopingthreads.com
https://trackingbiodataproject.wordpress.com/
Dr Aristea Fotopoulou
2014 Visiting Scholar
Research Center Science and
Justice, University of California
Santa Cruz