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<b class=""><span lang="EN-US" style="font-family: Arial, sans-serif; color: rgb(0, 176, 240);" class="">CALL FOR PAPERS</span></b><span lang="EN-US" style="color: rgb(0, 176, 240);" class=""> </span><span lang="EN-US" class=""><br class="">
</span><span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">IEEE Data Science Workshop, June 4-6, 2018</span><span lang="EN-US" class=""><o:p class=""></o:p></span></div>
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<span lang="DE-CH" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Lausanne, Switzerland</span><o:p class=""></o:p></div>
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<span lang="DE-CH" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Website:<span class="apple-converted-space"> </span></span><span style="font-size: 10pt; font-family: Arial, sans-serif;" class=""><a href="http://2018.ieeedatascience.org/" style="color: purple;" class=""><span lang="DE-CH" style="color: rgb(149, 79, 114);" class="">http://2018.ieeedatascience.org</span></a></span><span lang="DE-CH" style="font-size: 10pt; font-family: Arial, sans-serif;" class=""><br class="">
Contact:<span class="apple-converted-space"> </span></span><span style="font-size: 10pt; font-family: Arial, sans-serif;" class=""><a href="mailto:contact@2018.ieeedatascience.org" style="color: purple;" class=""><span lang="DE-CH" style="color: rgb(149, 79, 114);" class="">contact@2018.ieeedatascience.org</span></a></span><span lang="DE-CH" style="font-size: 10pt; font-family: Arial, sans-serif;" class=""><br class="">
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<b class="">****Submission Deadline: Feb 9, 2018****</b></span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">The 2018 IEEE Data Science Workshop is a new workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data
science theory and applications. In particular, the event will gather researchers and practitioners in various academic disciplines of data science, including signal processing, statistics, machine learning, data mining and computer science, along with experts
in academic and industrial domains, such as personalized health and medicine, earth and environmental science, applied physics, finance and economics, intelligent manufacturing. </span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">The scientific program will include invited plenary talks, as well as regular oral and poster sessions with contributed research papers, and data challenge sessions. Papers
are solicited in (but not limited to) the following topics:<br class="">
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• Computational models and representation for data science.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Tensor factorizations. Compressive sampling. Randomized linear algebra. Graph simplifications and multiresolution representations. Transformations and spectral representations.
Distributed algorithms.<br class="">
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• Acquisition, storage, and retrieval for large-scale data science.<br class="">
Hardware and architectures. Software and Cyber-infrastructure. Protocols for networked storage. Compression for data storage. Sketching and streaming. Scaling up algorithms.<br class="">
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• Visualization, summarization, and analytics.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Data presentation architectures and dashboards. Data visualization and human perception / cognition. Business intelligence. Data wrangling.<br class="">
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• Learning, modeling, and inference with data.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Graph signal processing. High-dimensional spatiotemporal modeling. Theoretical limits. Anomaly detection. Graph learning. Statistical modeling of heterogeneous data types. Post-selection
inference. Analysis of deep learning algorithms. Crowdsourcing. Stream mining. Statistical uncertainty quantification.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">• Data science education. </span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Innovative approaches to teaching data science. Data-informed learning theory. Learning analytics.<br class="">
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• Data science process and principles.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Reproducible research. Open source data science. Workflow. Meta-analysis. Data science ethics. Automation of data science via meta-learning. Algorithmic fairness. Bias in science.<br class="">
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• Applications.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Social media, recommendation systems and collaborative filtering. Defense, intelligence and security. Biology and medicine. Astronomy and other physical sciences. Audio, image, video
analytics and computer vision. Urban informatics. Social sciences. Business analytics, forensics and finance. Applications leveraging domain knowledge for data science.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif; color: rgb(0, 176, 240);" class="">PAPER SUBMISSION</span><o:p class=""></o:p></div>
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Papers should be at most four pages long in double-column format. Information regarding the submission process is available on the workshop website.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif; color: rgb(0, 176, 240);" class="">SPECIAL SESSIONS<br class="">
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Special session proposals can be submitted through the workshop website. They must include a topical title, session outline, contact information of proposers, and the list of invited papers and authors. Special session authors are referred to the workshop website
for additional information regarding the submission process.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif; color: rgb(0, 176, 240);" class="">GRAND CHALLENGES</span><span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class=""><br class="">
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Exciting data challenges with real-world impact will be communicated in time before the workshop. The challenges will be hosted by<span class="apple-converted-space"> </span></span><span style="font-size: 10pt; font-family: Arial, sans-serif;" class=""><a href="http://crowdai.org/" style="color: purple;" class=""><span lang="EN-US" style="color: rgb(149, 79, 114);" class="">crowdAI.org</span></a></span><span class="apple-converted-space"><span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class=""> </span></span><span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">and
powered by RENGA, the SDSC analytics platform for collaborative open science.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif; color: rgb(0, 176, 240);" class="">AWARDS</span><span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class=""><br class="">
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Three types of awards are being set up: Best Paper Award, Best Student Paper Award and the Grand Challenges Award. The selection criteria for these awards include the scientific quality of the paper and the presentation of the oral contribution or challenge
presentation.</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif; color: rgb(0, 176, 240);" class="">IMPORTANT DATES</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class=""><br class="">
Deadline for special session proposals: December 15, 2017<br class="">
Submission of full papers: February 9, 2018</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Notification of acceptance: April 6, 2018<br class="">
Author advance registration: May 1, 2018<br class="">
Camera-ready paper submission: May 1, 2018</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif; color: rgb(0, 176, 240);" class="">COMMITTEE</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">General Chairs<br class="">
Olivier Verscheure, SDSC, Switzerland<br class="">
Pascal Frossard, EPFL, Switzerland</span><o:p class=""></o:p></div>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Technical Program Chairs<br class="">
Antonio Ortega, USC, USA<br class="">
Eric Kolaczyk, BU, USA</span><o:p class=""></o:p></p>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Keynote Speakers Chair<br class="">
Philippe Cudré-Mauroux, University of Fribourg, Switzerland</span><o:p class=""></o:p></p>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Special Sessions Chair<br class="">
Deepak Turaga, IBM Research, USA</span><o:p class=""></o:p></p>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Grand Challenges Chair<br class="">
Marcel Salathé, EPFL, Switzerland</span><o:p class=""></o:p></p>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Finance Chair<br class="">
Dorina Thanou, SDSC, Switzerland</span><o:p class=""></o:p></p>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Publication Chair<br class="">
Xiaowen Dong, University of Oxford, UK</span><o:p class=""></o:p></p>
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<span lang="EN-US" style="font-size: 10pt; font-family: Arial, sans-serif;" class="">Publicity and Local Arrangements Chair<br class="">
Floriane Jacquemet, SDSC, Switzerland</span></div>
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