<div dir="ltr"><div><span style="font-family:arial,sans-serif;font-size:13px">Hi folks,</span></div><div><span style="font-family:arial,sans-serif;font-size:13px"><br></span></div><div><span style="font-family:arial,sans-serif;font-size:13px">Check out the following call for papers. This is a great conference for those working on large data and big data problems to publish.</span></div>
<div><span style="font-family:arial,sans-serif;font-size:13px"><br></span></div><div><span style="font-family:arial,sans-serif;font-size:13px">Best,</span></div><div><font face="arial, sans-serif">-berk</font></div><div>
<span style="font-family:arial,sans-serif;font-size:13px"><br>
</span></div><span style="font-size:13px;font-family:arial,sans-serif">IEEE Symposium on Large-Scale Data Analysis and Visualization 2013 (LDAV 2013)</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">October 13-14, 2013</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Atlanta, Georgia</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><a href="http://www.ldav.org/" target="_blank" style="font-size:13px;font-family:arial,sans-serif">http://www.ldav.org/</a><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Contact: </span><a href="mailto:papers@ldav.org" target="_blank" style="font-size:13px;font-family:arial,sans-serif">papers@ldav.org</a><span style="font-size:13px;font-family:arial,sans-serif"> </span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Modern large-scale scientific simulations, sensor networks, and</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">experiments are generating enormous datasets, with some projects</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">approaching the multiple exabyte range in the near term. Managing and</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">analyzing large datasets in order to transform them into insight is</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">critical for a variety of disciplines including climate science,</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">nuclear physics, security, materials design, transportation, and urban</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">planning. This is currently referred to as the Big Data Challenge. The</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">tools and approaches needed to mine, analyze, and visualize data at</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">extreme scales can be fully realized only if we have end-to-end</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">solutions, which demands collective, interdisciplinary efforts.</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">The Large Scale Data Analysis and Visualization (LDAV) symposium, to</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">be held in conjunction with IEEE VIS 2013, is specifically targeting</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">possible end-to-end solutions. The LDAV symposium will bring together</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">domain scientists, data analysts, visualization researchers, users,</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">designers and artists, to foster common ground for solving both near-</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">and long-term problems.</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Scope:</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">We are looking for original research contributions on a broad-range of</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">topics related to the collection, analysis, manipulation or</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">visualization of large-scale data. We also welcome position papers on</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">these topics.</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Topics of interest include, but are not limited to:</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">- Innovative approaches combining information visualization, visual</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif"> analytics, and scientific visualization</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">- Streaming methods for analysis, collection and visualization</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">- Novel, extreme or innovative methods for understanding and</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif"> interacting with data</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">- Data mining and machine learning techniques for large data analysis</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">- Advanced hardware and system architectures for data handling,</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif"> analysis or visualization</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">- Hierarchical data storage, retrieval or rendering</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">- Distributed, parallel or multi-threaded approaches</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">- MapReduce-based and Database-related methods, algorithms or approaches</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">- Data collection, management and curation</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">- Collaboration or co-design of data analysis with domain scientists</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">- Application case studies</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">- Topics in cognitive issues specific to manipulating and</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif"> understanding large data</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">- Industry solutions for Big Data analytics and infrastructure</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Submission Instructions:</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Submitted manuscripts may not exceed maximum of eight (8) pages in</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">length, with an optional ninth page that can only contain</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">references. The length of the paper should be proportional to the</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">contributions it makes. We welcome short papers of 4 or 6 pages in</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">length. The manuscripts should be formatted according to guidelines</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">available on the IEEE VIS 2013 site.</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Submission Site:</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Go to the submission site (</span><a href="https://precisionconference.com/~vgtc" target="_blank" style="font-size:13px;font-family:arial,sans-serif">https://precisionconference.com/~vgtc</a><span style="font-size:13px;font-family:arial,sans-serif">) log</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">in, and select 'Submit to LDAV 2013 Papers'.</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Important Dates :</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Paper Registration including Abstract: May 8, 2013 (required), 11:59 PM PST</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Paper Submission: May 15, 2013 (firm), 11:59 PM PST</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Author Notification: July 31, 2013</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Camera-Ready Deadline: August 21, 2013</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Proceedings:</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">The proceedings of the symposium will be published together with the</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">IEEE VIS 2013 proceedings and via the IEEE Xplore Digital Library.</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Best Paper:</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">The LDAV Program Committee will award a Best Papers award to the</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">authors whose submission is deemed the strongest according to the</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">reviewing criteria. This award will be announced at the event.</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Symposium Chairs:</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">David Rogers, Sandia National Laboratories</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Claudio Silva, New York University</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Program Chairs: </span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Berk Geveci, Kitware Inc.</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Hanspeter Pfister, Harvard University</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Venkatram Vishwanath, Argonne National Laboratory</span><br></div>