[hpc-announce] CFP: SI CCPE Negative Results in eScience

Ketan Maheshwari ketan at mcs.anl.gov
Tue Sep 15 09:06:19 CDT 2015


CCPE Special Issue on Negative Results in eScience (ERROR 2015)

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Concurrency and Computation: Practice and Experience
Special Issue: Negative Results in eScience
Editors: Ketan Maheshwari, Silvia Olabarriaga, Daniel S. Katz, Justin
M. Wozniak, Douglas Thain
===========

Ever-increasing problem and data sizes in e-science endeavours imply
that researchers must deal with novelty in multiple dimensions, some
of which are beyond their control. A combination of such factors
increases the likelihood that some of the obtained results will not be
useful in the context of the goals of the original project: the
results are negative (deviating from initial hypothesis), abnormal
(anomalous to results from similar studies), null (absence of results)
or otherwise unexpected. Under normal circumstances, such negative
results are never published, and the reasons why they were obtained
are seldom discussed and analyzed. Useful lessons might be lost.
Documenting and more widely communicating these experiences will
benefit the community and help recover some positive return from the
expended efforts and cost.

The 1st workshop on E-science ReseaRch leading to negative Results
(ERROR) workshop was organized in conjunction with the 11th IEEE
International Conference on eScience (eScience 2015) to provide a
forum for communication of such experiences
(http://press3.mcs.anl.gov/errorworkshop). The CCPE Special Issue on
"Negative Results in eScience" will combine extended versions of
papers presented at the this workshop with other, open submissions.
Major topics of interest for this special issue include (but are not
limited to)

* Unforeseen technology/problem/technique misfits
* Institutional policies (on rejected research)
* Failures and obstacles faced during a successful research work
* Controversial results because of undiscovered technological/technical glitch
* Unconventional results which contradict theoretical expectations
* Discovery of better approaches after a significant efforts spent on research
* Inadequate or misconfigured infrastructure
* Abnormal and anomalous results
* Ongoing research with setbacks and lessons learned
* A hypothesis with one or more limiting assumptions
* Discovery of unexpected behavior in hardware, networks or platforms
* Data size that is too big or too small for the applied technique
* Implementation of simulation tools based on incorrect physical observations
* Defect in software design, architecture and/or user interface
* Software and platform incompatibilities

The papers should be of 10-12 pages following the CCPE submission
guidelines. Papers should be submitted via Manuscript Central as
"ERROR 2015".

Important dates:
* 1 December, 2015: paper submission
* 1 February, 2015: announcement of preliminary decisions
* 20 February, 2016: submission of revised papers (selected)
* 5 March, 2016: announcement of final decisions
* 20 March, 2016: upload of camera-ready papers


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