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This event may be of interest to some members.
Best wishes
Susan Graham
University of Edinburgh
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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
-----Original Message-----
Date: Mon, 10 Dec 2012 16:48:33 +0000
From: Mark Hartswood <[log in to unmask]>
Subject: Workshop on Computer Mediated Social Sense-Making 14th February
2013
Call for participation
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Workshop on Computer Mediated Social Sense-Making
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http://cmssm2013.wordpress.com/about/
14th February 2013
Position statements due 18th January 2012 (See below)
School of Informatics
Edinburgh University.
'Computer Mediated Social Sense-Making' is a specialised form of Social
Computation [1] that pertains where diverse non co-located human
expertise and machine processing are combined to enable data to be
interpreted effectively to support a range of tasks taking place in
different contexts.
This workshop aims to contribute to the development of the concept of
cmSocial Sense-Making as a coherent research area by exploring the
theoretical, methodological and computational approaches that can be
brought to bear on problems of achieving blends of data and expertise to
interpret complex data sets or data streams.
Examples of important CMCSM application areas include:
- Telemonitoring: Remote monitoring of chronic conditions promises to
help manage the extensive healthcare demands of an ageing population.
However Physiological data gathered in the home but interpreted by
remote clinicians often leads to high False Positive rates [2]. How can
patients, relatives and carers be enabled to supplement physiological
data with missing contextual detail to improve the quality of remote
interpretation [3]?
- Data curation: Data is an increasingly seen as a valuable commodity to
be mined over and again to solve problems beyond those for which it was
originally collected. However, without access to the context of its
production our ability to re-purpose data is degraded, moreover data
users generate insights about data quality and utility but which are
often neither accumulated nor shared [4]. How can tools enable access
to originating contexts and capitalise on the expertise that is created
when data is used in order to increase the value of data archives for
the wider community of users?
- Validation of scientific models: Computational models make strong
contributions to policy formation and scientific advance, often in
economically important or politically contentious arenas such as climate
change. However, effective interpretation of model results for
scientific advance and policy formation often requires access to
non-local domain expertise. (This is similar to other 'data analysis'
tasks where data interpretations are crowd-sourced [5].) How can
collaborative interpretations be facilitated by shareable, annotatable
data representations?
Position statements are invited on the following workshop topic areas:
• What are the defining questions for current work in cmSocial
Sense-Making ?
• How can we identify application areas that lend themselves to cmSocial
Sense-Making?
• What conceptual frameworks or theoretical approaches are relevant to
cmSocial Sense-Making?
• What are the usability considerations in creating cmSocial
Sense-Making applications and how can existing frameworks in HCI and
CSCW be brought to bear?
• What legal, ethical or regulatory issues are relevant for cmSocial
Sense-Making?
• How might cmSocial Sense-Making implementations be evaluated?
• What types of algorithm are effective at combining data from multiple
heterogeneous data streams to underpin cmSocial Sense-Making?
• What types of infrastructures and applications can support cmSocial
Sense-Making?
• What impacts do cmSocial Sense-Making solutions have on working
divisions of interpretative labour, responsibility and accountability?
• What formal logics might model the behaviour of a cmSocial
Sense-Making approach?
• How can cmSocial Sense-Making applications be designed to motivate
participation?
Position statements should be no longer than one side of A4. These will
be reviewed by the workshop organisers and in the event of
over-subscription statements will be accepted to give the broadest
coverage of workshop topics. Attendees will be required to give a short
presentation outlining their position. The workshop will aim to balance
presentations with plenary sessions and opportunities for networking.
Please send your position statements to: [log in to unmask] by
18th January 2013.
The workshop will be held at the School of Informatics, Edinburgh
University and will be free to attend.
Workshop committee:
Mark Hartswood
Maria Wolters
Jenny Ure
Stuart Anderson
Michael Rovatsos
Marina Jirotka
Alex Voss
References
[1] Michael Kearns, Experiments in Social Computation, Communications of
the ACM, Vol. 55 No. 10, Pp 56-67 http://dx.doi.org/10.1145/2347736.2347753
[2] Ure J, Pinnock H, Hanley J, Kidd G, McCall Smith E, Tarling A,
Pagliari C, Sheikh A, MacNee W, McKinstry B. Piloting tele-monitoring in
COPD: a mixed methods exploration of issues in design and
implementation. Prim Care Respir J 2012;21(1):57-64. DOI:
http://dx.doi.org/10.4104/pcrj.2011.00065
[3] Oudshoorn N (2008) Diagnosis at a distance: the invisible work of
patients and healthcare professionals in cardiac telemonitoring
technology. Sociology of Health and Illness. 30(2) 272-288.
[4] Hartswood M, Procter R, Taylor P, Blot L, Anderson S, Rouncefield M
and Slack R. Problems of data mobility and reuse in the provision of
computer-based training for screening mammography. In: CHI '12
Proceedings of the 2012 ACM annual conference on Human Factors in
Computing Systems. New York: ACM. 2012. p. 909-918.
[5] Willet W, Heer J and Agrawala M (2012) Strategies for Crowdsourcing
Social Data Analysis. CHI’12 , May 5–10, 2012, Austin, Texas, USA.
--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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End of BCS-HCI Digest - 9 Dec 2012 to 16 Dec 2012 (#2012-29)
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