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ERROR 2016 : E-science ReseaRch leading tO negative Results | |||||||||||||||
Link: http://press3.mcs.anl.gov/errorworkshop2016 | |||||||||||||||
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Call For Papers | |||||||||||||||
2nd Workshop on E-science ReseaRch leading tO negative Results (ERROR) in conjunction with eScience 2016 Baltimore, Maryland, USA October 23 or 24, 2016 http://press3.mcs.anl.gov/errorworkshop2016 Researchers invest a significant amount of time and efforts in their research. Similarly, funders significantly invest to cover the costs of research. New techniques and technologies influence research approaches, methods, and scale in a rapidly changing e-science landscape. Ever-increasing problem and data sizes mean 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), or otherwise unexpected. Under normal circumstances, such negative results are never published, and the reasons that they were obtained are seldom discussed and analyzed. Many useful lessons known only by a small audience, such as a researcher and her group, are thus lost to the general community. Yet ignoring such results and the process by which they were obtained poses a risk of repetition by another researcher or group. The fact that other researchers likely face the same situations and the same pitfalls further increases the cost of research, a cost that would have been avoided if the negative results were brought forward and discussed in-depth within and across communities. Documenting and more widely communicating these experiences will benefit the community and help recover some positive return from the expended efforts and cost. Major topics 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 * Zero defect software policy and its implications Paper Submission Guidelines --------------------------- Authors are invited to submit a maximum of 6-page manuscripts describing original and unpublished work surrounding the aforementioned topics. The format of the paper should be of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per IEEE 8.5 x 11 manuscript guidelines. Templates are available from: http://www.ieee.org/publications_standards/publications/authors/author_templates.html. Authors should submit a PDF file that will print on a postscript printer to the easychair conference system at: https://easychair.org/conferences/?conf=error2016 Important Dates --------------- 24 June 2016: Paper submission deadline 1 August 2016: Author notification 1 September 2016: Camera ready version 23 October 2016: Workshop dates General Chair and Contact ------------------------- Justin M. Wozniak, University of Chicago and Argonne National Laboratory wozniak@mcs.anl.gov Steering Committee ------------------ Ketan Maheshwari, University of Pittsburgh Daniel S. Katz, University of Chicago and Argonne National Laboratory Silvia Olabarriaga, University of Amsterdam Douglas Thain, Notre Dame University Program Committee ----------------- Raj Kettimuthu, Argonne National Laboratory Matei Ripeanu, University of British Columbia Sou-Cheng Choi, NORC at the University of Chicago and Illinois Institute of Technology Tristan Glatard, CNRS (France) / McGill University (Canada) Eun Sung Jung, Argonne National Laboratory Tram Truong Huu, National University of Singapore Cédric Tedeschi, University of Rennes Javier Rojas Balderrama, INRIA, France Timothy G. Armstrong, Cloudera Dagmar Krefting, University of Applied Sciences, Berlin Simon Caton, National College of Ireland |
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