[hpc-announce] CFP: E-science ReseaRch leading tO negative Results (ERROR)

[Wozniak, Justin M.]

Deadline approaching: September 6

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4th Workshop on

E-science ReseaRch leading tO negative Results (ERROR 2024)

in conjunction with

SBAC-PAD 2024 Hilo, Hawaii, November 13-15

https://urldefense.us/v3/__https://error-workshop.org__;!!G_uCfscf7eWS!buTHclpyLs61e1TxOugb8Rodj1gtu0iZ26F75xAv7EZkvyV072CHi6XztN60lXGSZLmgTXZdA00P6ACTWA$ <https://urldefense.us/v3/__https://error-workshop.org/__;!!G_uCfscf7eWS!buTHclpyLs61e1TxOugb8Rodj1gtu0iZ26F75xAv7EZkvyV072CHi6XztN60lXGSZLmgTXZdA03fN-dqWg$ >

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Escience researchers often invest significant time and effort in 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.

Novel technologies and methods (eg. AI / ML) are rapidly changing approaches 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.

A non-exhaustive list of 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 technological/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

- 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
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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 https://urldefense.us/v3/__http://www.ieee.org/publications_standards/publications/authors/author_templates.html__;!!G_uCfscf7eWS!buTHclpyLs61e1TxOugb8Rodj1gtu0iZ26F75xAv7EZkvyV072CHi6XztN60lXGSZLmgTXZdA01u2FPOSg$ 


Proceedings Publication
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Accepted papers from the workshop will be published as part of eScience 2024 proceedings to be published by the IEEE Computer Society Press, USA and made available online through the IEEE Digital Library.

Important dates
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Paper submission deadline: September 6, 2024 AOE

Paper acceptance notification: October 15, 2024

Camera ready version: October 30, 2024


Workshop Committees
====================

Co-organizers
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Ketan Maheshwari, Oak Ridge National Laboratory, USA

Justin M. Wozniak, University of Chicago and Argonne National Laboratory, USA

Daniel S. Katz, University of Illinois at Urbana-Champaign, USA

Program Committee
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Tainã Coleman, University of Southern California, USA

Arnaud Legrand, CNRS, France

Ulf Leser, Humboldt-Universitaet zu Berlin, Germany

Loïc Pottier, University of Southern California, USA

Tanu Malik, DePaul University, USA

Raül Sirvent, Barcelona Supercomputing Center, Spain

Kathryn Knight, Oak Ridge National Laboratory, USA

Ankit R. Patel, University of Minho, Portugal

Sean R. Wilkinson, Oak Ridge National Laboratory, USA




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Justin M Wozniak