ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Alex Endert <[log in to unmask]>
Reply To:
Alex Endert <[log in to unmask]>
Sat, 18 Jul 2015 10:41:29 -0400
text/plain (62 lines)
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 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.

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 cutting-edge PNNL scientific teams to advance the nation’s overall capability for extracting meaning from large heterogeneous data sets.

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 Thursday October 29 2015. More information can be found at the conference website: <>.
Call for Papers: Second Workshop on Human-Centered Big Data Research (HCBDR 2015) <>
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.
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: <>.
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.
Important dates:
Aug 30 2015: Workshop submissions due. Papers should be no longer than 9 pages in the IEEE 2-column format.
Sep 20 2015: Notification of acceptance.
Oct 05 2015: Camera-ready of accepted papers due.
Oct 29: HCBDR 2015 at IEEE BigData 2015 in Santa Clara, CA, USA.
Program Co-Chairs

Chris Argenta, Applied Research Associates
Alex Endert, Georgia Institute of Technology
Celeste Lyn Paul, Department of Defense

Program Committee

Nathan Bos, Johns Hopkins University Applied Physics Laboratory
Kris Cook, Pacific Northwest National Laboratory
Randy Frank, Applied Research Associates
John Gersh, Johns Hopkins University Applied Physics Laboratory
Christopher Hale, Georgia Tech Research Institute
Robert Hoffman, Institute for Human Machine Cognition
Pat Laughlin, Laboratory for Analytic Sciences
Brad Minnery, Wright State Research Institute
Bill Pike, Pacific Northwest National Laboratory

For more information about the workshop, please visit <> or email [log in to unmask] <mailto:[log in to unmask]>.
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see