Submission deadline: March 20, 2013
http://eipcm.org/sohuman2013
********************* 2nd CALL FOR PAPERS *********************
GOALS OF THE WORKSHOP
----------------------------------------
This workshop invites researchers and practitioners from
different
disciplines to explore the challenges and opportunities of
applying
social media to designing novel applications of collective
intel-
ligence, with a special focus on crowdsourcing and human
computation.
We are particularly interested in contributions that consider
crowdsourcing and human computation in the broader context:
as specific instantiations of collective intelligence and social
computing on the web. How can the experience gained from the
design
of crowdsourcing applications inform the development of new
approaches to collective intelligence? And vice versa: what
lessons from the broader domain of collective intelligence
can inform the design of new kinds of systems for crowdsourcing
and human computation?
Both crowdsourcing and human computation consider humans as
distributed task-solvers, leveraging human reasoning to solve
complex
tasks that are easy for individuals but difficult for purely
computational approaches (human computation) or for traditional
organizational work arrangements (crowdsourcing). Though rarely
explicitly
addressed as such, social media and related technologies often
provide
the enabling methods and technologies for the realization of
such models.
Examples include crowdsourcing marketplaces (e.g. Amazon
Mechanical
Turk), crowdsourcingservice providers (e.g. Microtask,
CrowdFlower) or
games with a purpose. While centralized platforms are also at
the core
of “traditional” approaches to collective intelligence (e.g.
Wikipedia),
attention is increasingly turning to harnessing existing social
platforms (e.g. Facebook, Twitter) that already gather huge
numbers
of users into webs of social relationships.
Such Social Clouds pose both chances and challenges for new
kinds
of approaches to crowdsourcing and human computation in
particular and
to collective intelligence in general. On one hand, the
intricate
social relationships allow the development of new kinds of task
routing
mechanisms (e.g. identifying the best or most trusted
participants for
a specific task). Incentive structures are intrinsically social
and
tend to reflect community-like phenomena (e.g. the reputation
economy),
thus differing strongly from single-user approaches in classical
crowdsourcing. This is already leading to early experiments such
as
expert-based crowdsourcing or solutions for task-injection
across
distributed social platforms. On the other hand, the design of
such
socially distributed computing structures relates the fields of
crowdsourcing and human computation to the lessons from a
broader
class of collective intelligence platforms and applications.
The need to interrelate these fields is reflected in questions
such as:
•
How
can we design effective incentive systems for large-scale
participation
of human users in structured collective
intelligence
systems?
•
How
do we design tasks at different levels of complexity that can be
solved
reliably through a composition of individual contributions?
•
How
can we use intricate webs of social relationships of existing
social
platforms for new models of coordination in distributed
task-solving?
•
How
can distributed social media enable the design of new classes
of
crowdsourcing applications (e.g. using social network analysis
for
new ways of task-routing)?
•
How
can the comparison of lessons from distributed problem-solving
in
human computation and community-based approaches lead to novel
classes
of collective intelligence applications?
We are especially interested in applications and investigations
in a
range of domains such as collective action and social
deliberation,
multimedia search and exploration, enterprise and medical
applications,
cultural heritage, social data analysis or citizen science.
Topics include (but are not limited to):
-
Social
media in collective intelligence systems
-
Use
cases and applications of social media to crowdsourcing and
human
computation
-
Social
incentive models for crowdsourcing and human computation
- HCI issues in crowdsourcing and human computation
-
Social-network
analysis for crowdsourcing and human computation
-
Applications
of social media visualization to collective
intelligence
applications
-
Social
coordination in crowdsourcing and human computation
-
Social
search and human computation
-
Trust
models for collective intelligence and crowdsourcing
-
Semantic
modeling in crowdsourcing and human computation
-
Expert-based
crowdsourcing
-
Influence
metering and social trust models
-
Expertise-inference
techniques and their application
to
task routing
-
Reputation
systems for human computation
-
Quality
assurance in distributed human intelligence tasks
-
Social
sensing in crowdsourcing and human computation
-
Domain-specific
challenges in crowdsourcing and human computation
-
Social
sensing in human computation approaches
-
Use
cases and applications of social media for human computation
SUBMISSIONS
---------------------
The workshop will accept:
•
Regular
research papers (6-8 pages)
•
Applications
/ Demonstrators (4 pages)
•
Position
papers (2-4 pages)
All submissions must be formatted according to ACM Web Science
submission guidelines (
http://www.websci13.org/submission/)
and submitted through the SoHuman 2013 EasyChair system:
https://www.easychair.org/conferences/?conf=sohuman2013
All submissions will be reviewed in a peer-review process by at
least
two members of the program committee. At least one author of
each paper
will need to register for and attend the workshop to present the
paper.
IMPORTANT DATES:
-----------------------------
•
Abstract
submission: March 15, 2013 (recommended)
•
Paper
submission: March 20, 2013
•
Notification
of acceptance: April 3, 2013
•
Camera-ready
papers: April 17, 2013
•
Workshop
date: May 1, 2013
WORKSHOP PROCEEDINGS
-----------------------------------------
Results of the workshop (papers, findings from the discussion
panel)
will be published as separate workshop proceedings (either as
Springer Lecture Notes in Computer Science or as CEUR-WS
Proceedings).
Depending on the quality of the submissions there will also be
an
opportunity to publish extended versions of the papers as a
special
issue in a major journal.
ORGANIZERS
-------------------
Jasminko Novak, European Institute for Participatory Media,
Berlin
Piero Fraternali, Politecnico di Milano
Petros Daras, ITI CERTH
Otto Chrons, Microtask
Alejandro Jaimes, Yahoo Research
Mark Klein, MIT Center for Collective Intelligence
Primary contact: Jasminko Novak,
sohuman2013@eipcm.org
PROGRAM COMMITTEE
----------------------------------
Klemens Böhm, Karlsruhe Institute of Technology
Marco Brambilla, Politecnico di Milano
Simon Caton, Karlsruhe Institute of Technology
Fausto Giunchiglia, University of Trento
Gareth Jones, Dublin City University
Pietro Michelucci, Strategic Analysis, Inc.
Ville Miettinen, Microtask
Wolfgang Prinz, Fraunhofer FIT/RWTH Aachen
Naeem Ramzan, University of West of Scotland
Marcello Sarini, University of Milano-Bicocca
Aaron Shaw, Harvard University
Mohammad Soleymani, Imperial College London
Maja Vukovic, IBM T.J. Watson Research