<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><span id="docs-internal-guid-3c00ee18-a195-e79f-4423-d8cfc6d5b086" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""><b class=""><br class=""></b></span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""><b class=""><br class=""></b></span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""><b class="">Making Sense of Big Data Streams</b> </span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">As our sensors become more sophisticated and our world becomes more online, it is important to understand how humans can interact with stream data processing systems to make sense of dynamic phenomena in near-real-time. In this talk, Dr. Greaves will discuss some ongoing research in the interaction between humans and streams of data, parallels with exploratory data analysis, useful formalisms, and the relation to work on social machines.</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">Mark Greaves is currently Technical Director for Analytics in the National Security Directorate of the US Department of Energy’s</span><a href="http://www.pnnl.gov/" style="text-decoration:none;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;" class=""> Pacific Northwest National Laboratory</span></a><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">, providing scientific, programmatic, and business development leadership. At PNNL, he works with national security clients and cutting-edge PNNL scientific teams to advance the nation’s overall capability for extracting meaning from large heterogeneous data sets.</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">The second annual workshop on Human-Centered Big Data Research will be held in conjunction with IEEE BigData 2015 in Santa Clara, CA, USA on </span><span style="font-size: 14.666666666666666px; font-family: Arial; font-weight: bold; vertical-align: baseline; white-space: pre-wrap;" class="">Thursday October 29 2015</span><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">. More information can be found at the conference website:</span><a href="http://cci.drexel.edu/bigdata/bigdata2015/" style="text-decoration:none;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;" class=""> http://cci.drexel.edu/bigdata/bigdata2015/</span></a><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">.</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">Call for Papers: Second Workshop on Human-Centered Big Data Research (HCBDR 2015)</span><a href="http://www.hcbdr.org" style="text-decoration:none;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; color: rgb(0, 0, 0); vertical-align: baseline; white-space: pre-wrap;" class=""> </span><span style="font-size: 14.666666666666666px; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;" class="">http://www.hcbdr.org</span></a></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; font-weight: bold; vertical-align: baseline; white-space: pre-wrap;" class="">Call for Papers</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">Rapid growth in data volume and velocity has driven a revolution in computational infrastructure and processing capabilities, but how does this change the way humans work in this new Big Data environment? Human-centered computing focuses on technologies that enhance the human’s abilities to perceive, understand, and collaborate. There are many significant challenges for combined human/technology systems that emerge from the dramatic changes in the nature of the technology that humans use to harness Big Data.</span></div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""> </span></p><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">The purpose of this workshop is to gather experts in multi-disciplinary fields and discuss research at the intersection of humans and Big Data. This second workshop on Human-Centered Big Data Research (HCBDR) marks a continuing interest for research that aims to understand how people solve problems and make decisions in the face of magnitudes more information, analyze how tools can help us bridge the gap between Big Data and knowledge acquisition, and evaluate how different aspects of Big Data (e.g., volume, velocity, veracity, and variety) impact a user’s sensemaking strategies and performance.</span></div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""> </span></p><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">HCBDR 2015 will be a one day workshop at the 2015 IEEE International Conference on Big Data (IEEE BigData 2015) in Santa Clara, CA, USA on Oct 29 - Nov 1, 2015. More information can be found at the IEEE BigData 2015 conference website:</span><a href="http://cci.drexel.edu/bigdata/bigdata2015/" style="text-decoration:none;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; color: rgb(0, 0, 0); vertical-align: baseline; white-space: pre-wrap;" class=""> </span><span style="font-size: 14.666666666666666px; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;" class="">http://cci.drexel.edu/bigdata/bigdata2015/</span></a><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">.</span></div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""> </span></p><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">We invite early research results and position statements on topics including:</span></div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""> </span></p><ul style="margin-top:0pt;margin-bottom:0pt;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Sensemaking processes for Big Data</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Analytical methods aiding in Big Data information foraging and discovery</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Storytelling and narrative generation in Big Data environments</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Challenges with Big Data veracity and variety</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Mental models and Big Data interaction</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Large scale user experience, visualization, and collaboration technology for Big Data</span></div></li></ul><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""> </span></p><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">Papers will be published in the IEEE BigData 2015 proceedings.</span></div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""> </span></p><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; font-weight: bold; vertical-align: baseline; white-space: pre-wrap;" class="">Important dates:</span></div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""> </span></p><ul style="margin-top:0pt;margin-bottom:0pt;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Aug 30 2015: Workshop submissions due. Papers should be no longer than 9 pages in the IEEE 2-column format.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Sep 20 2015: Notification of acceptance.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Oct 05 2015: Camera-ready of accepted papers due.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Oct 29: HCBDR 2015 at IEEE BigData 2015 in Santa Clara, CA, USA.</span></div></li></ul><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""> </span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:10pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; font-weight: bold; vertical-align: baseline; white-space: pre-wrap;" class="">Program Co-Chairs</span></p><ul style="margin-top:0pt;margin-bottom:0pt;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Chris Argenta, Applied Research Associates</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Alex Endert, Georgia Institute of Technology</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:10pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Celeste Lyn Paul, Department of Defense</span></p></li></ul><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:10pt;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; font-weight: bold; vertical-align: baseline; white-space: pre-wrap;" class="">Program Committee</span></p><ul style="margin-top:0pt;margin-bottom:0pt;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Nathan Bos, Johns Hopkins University Applied Physics Laboratory</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Kris Cook, Pacific Northwest National Laboratory</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Randy Frank, Applied Research Associates</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">John Gersh, Johns Hopkins University Applied Physics Laboratory</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Christopher Hale, Georgia Tech Research Institute</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Robert Hoffman, Institute for Human Machine Cognition</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Pat Laughlin, Laboratory for Analytic Sciences</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Brad Minnery, Wright State Research Institute</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 14.666666666666666px; vertical-align: baseline; white-space: pre-wrap;" class="">Bill Pike, Pacific Northwest National Laboratory</span></div></li></ul><br class=""><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">For more information about the workshop, please visit</span><a href="http://www.hcbdr.org" style="text-decoration:none;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; color: rgb(0, 0, 0); vertical-align: baseline; white-space: pre-wrap;" class=""> </span><span style="font-size: 14.666666666666666px; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;" class="">http://www.hcbdr.org</span></a><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class=""> or email </span><a href="mailto:workshop@hcbdr.org" style="text-decoration:none;" class=""><span style="font-size: 14.666666666666666px; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;" class="">workshop@hcbdr.org</span></a><span style="font-size: 14.666666666666666px; font-family: Arial; vertical-align: baseline; white-space: pre-wrap;" class="">.</span></span></body></html>