[hpc-announce] Deadline Extension: ERROR 2022: Workshop on E-science ReseaRch leading tO negative Results (eScience 2022 Workshop)

Ferreira da Silva, Rafael silvarf at ornl.gov
Thu Jul 14 15:57:43 CDT 2022

2nd Workshop on E-science ReseaRch leading tO negative Results (ERROR)
in conjunction with eScience 2022
Salt Lake City, Utah, USA
October 10, 2022
Paper Submission Deadline: July 22, 2022

Escience researchers often invest significant time and effort in open-ended projects that can have unexpected outcomes. When results are obtained that do not fit the established molds expected by publishing venues, these results can be lost. The ERROR Workshop invites research results from computing and computational projects that encounter unexpected or negative results that would be difficult to report on elsewhere.

At the present, novel hardware technologies and machine learning approaches (among others) are rapidly changing approaches, methods, and scale applied in escience domains. Researchers must deal with this novelty in multiple dimensions, many of which are beyond their control. Consequently, it is likely that some of the obtained results will not be of the expected form: they are negative (deviating from initial hypothesis), abnormal (anomalous to results from similar studies), or otherwise not useful in the established sense.

Under normal circumstances, such negative results and why they were obtained are seldom discussed, analyzed and published. Useful lessons are thus lost to the scientific community. Yet ignoring such results and the process by which they were obtained poses a risk of repetition. 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.

List topics for the workshop:
-   Unforeseen technology/problem/technique misfits
-   Institutional policies (on rejected research)
-   Failures and obstacles faced during a successful research work
-   Controversial results because of undiscovered technical glitch
-   Unconventional results which contradict theoretical expectations
-   Discovery of better approaches after 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 found to be incorrect
-   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
-   Other topics relevant to the description above

Proceedings Publication
Accepted papers from the workshop will be published as part of eScience 2022 proceedings to be published by the IEEE Computer Society Press, USA and made available online through the IEEE Digital Library.

Keynote Speaker
Brian Van Essen, Lawrence Livermore National Laboratory, USA

Workshop Organization
Ketan Maheshwari, Oak Ridge National Laboratory, USA
Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA
Tristan Glatard, Concordia University, Canada
Justin M. Wozniak, Argonne National Laboratory and University of Chicago, USA
Daniel S. Katz, University of Illinois at Urbana-Champaign, USA

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


Authors should submit a PDF file that will print on a postscript printer to the easychair conference system at


Important dates
Paper submission deadline: July 22, 2022
Paper acceptance notification: August 8, 2022
Camera ready version: August 15, 2022
Workshop: October 10, 2022

Rafael Ferreira da Silva, Ph.D.
Senior Research Scientist - Data Lifecycle and Scalable Workflows
National Center for Computational Sciences
Oak Ridge National Laboratory

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