Keynote announcement: Dr. Mark Greaves of PNNL

Keynote announcement: Dr. Mark Greaves of PNNL will present the keynote at HCBDR 2015.

Making Sense of Big Data Streams.

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 near­real­time. 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.
Mark Greaves is currently Technical Director for Analytics in the National Security Directorate of the US Department of Energy’s Pacific Northwest National Laboratory, providing scientific, programmatic, and business development leadership. At PNNL, he works with national security clients and cutting­edge PNNL scientific teams to advance the nation’s overall capability for extracting meaning from large heterogeneous data sets.

The second annual workshop on Human­Centered Big Data Research will be held in conjunction with IEEE BigData 2015 in Santa Clara, CA, USA on Thursday October 29 2015. More information can be found at the conference website:

http://cci.drexel.edu/bigdata/bigdata2015/. Call for Papers: Second Workshop on Human­Centered Big Data Research (HCBDR 2015)

http://www.hcbdr.org

Human-Centered Big Data Research
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Workshop 2015 – Call for Papers

Call for Papers
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 Oct 29, 2015. More information can be found at the conference website: http://cci.drexel.edu/bigdata/bigdata2015/.

Call for Papers

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.

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.

We invite early research results and position statements on topics including:

  • Sensemaking processes for Big Data
  • Analytical methods aiding in Big Data information foraging and discovery
  • Storytelling and narrative generation in Big Data environments
  • Challenges with Big Data veracity and variety
  • Mental models and Big Data interaction
  • Large scale user experience, visualization, and collaboration technology for Big Data

Papers will be published in the IEEE BigData 2015 proceedings.
Questions: Please email any questions to workshop[at]hcbdr.org

Important Dates

Human-Centered Big Data Research
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