Attached is the announcement and table of contents of a new issue of the 
open-access journal "Human Computation". No Wikipedia-themed papers this time, 
but maybe certain articles are still interesting to some on this list.

Gruß,
Fabian


Human Computation – A Transdisciplinary Journal
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Volume 2 • Issue 1 • August 2015


Dear Reader,

Recent gatherings have inspired researchers to address field development 
challenges in human computation head-on via cogent analysis and carefully 
conceived recommendations. Some of these key community findings, both technical 
and ethical, are presented herein. We interpret these activities as a positive 
signal of community growth and field maturation.

Collectively yours,

Pietro Michelucci & Elena Simperl,  Co-Editors-in-Chief

(Read the full Letter from the Editors here: http://goo.gl/i4hRuC)


This issue features:

# Opinion · Crowdsourcing and the Semantic Web: A Research Manifesto #
A roadmap guides the evolution of new research that is emerging at the exciting 
intersection of crowdsourcing and the Semantic Web.

· Cristina Sarasua et al.

→ read now: http://goo.gl/HrKY8Y


# Research· Privacy in Participatory Research: Advancing Policy to support 
Human Computation #
How do privacy-related policies align with actual practices in participatory 
systems?  This study surveys the policies of 30 participatory research projects 
and finds that many host incomplete policies or inaccurately describe their 
practices.

· Anne Bowser-Livermore & Andrea Wiggins ·

→ read now: http://goo.gl/7CT92Q


# Research· Home is Where the Lab is: A Comparison of Online and Lab Data From 
a Time-sensitive Study of Interruption #
Is it possible to engage the crowd online in long-duration, time-sensitive 
tasks that require continuous concentration?

· Sandy J. J. Gould et al. ·

→ read now: http://goo.gl/TAefPW


# Research· Crowdsourcing the mapping problem for design space exploration of 
custom reconfigurable architecture designs #
Coarse grained reconfigurable architectures (CGRAs) hold great promise for the 
portable/wearable electronics domain. This study demonstrates one way that the 
crowd can provide reliable mappings, outperforming a custom Simulated Annealing 
algorithm.

· Anil Kumar Sistla et al. ·

→ read now:  http://goo.gl/9SYmBu


# Research· Crowds of Crowds: Performance based Modeling and Optimization over 
Multiple Crowdsourcing Platforms #
How can statistical simulations of crowds be used to optimize crowd-worker 
performance over multiple platforms? A platform recommendation tool can help.

· Sakyajit Bhattacharya, et al. ·

→ read now:  http://goo.gl/B3T05o


If you would like to keep up to date on our activities and calls, you can 
follow us on https://twitter.com/HCjnl, or join us on 
https://www.facebook.com/hcjournal and 
https://www.linkedin.com/groups/Human-Computation-interdisciplinary-journal-7488802
 . If you would like to receive quarterly new issue digests to your email, you 
can subscribe at https://tinyletter.com/HCjnl






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