This
Answer Sheet should be used for your VAST Challenge 2014 Mini-Challenge 3
submission. Please maintain the .htm format and make sure that all hyperlinks are relative
to the answer form.
Rename
this form "index.htm" for your submission. Remove these instructions and any other
example text below that is highlighted in yellow. Please see the
"Submission Instructions" at http://vacommunity.org/VAST+Challenge+2014
for more detailed instructions.
Marion Smith, University of West Birmingham, smith@westbirmingham.ac.uk PRIMARY
Paul White, University of Northeastern Washington, white@unew.edu
Student Team: Please enter a YES or NO
Provide
a list of analytic tools used. Examples:
Tableau
Excel
Spinviz, developed by the University of West Birmingham CS 459 Information
Visualization class, taught Spring 2011 by Dr. Smith,
and adapted by the student team for the challenge.
Approximately how many hours were spent
working on this submission in total?
Provide
an estimate of the total number of hours worked on this submission by your
entire team.
May we post your submission in the
Visual Analytics Benchmark Repository after VAST Challenge 2014 is complete? Please
enter a YES or NO
Video:
Provide a link to your
video. Example:
http://www.westbirmingham.ac.uk/uwb-smith-mc3-video.wmv
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Questions
Please note - this challenge
contains a question that is time-dependent.
Within 3 hours of starting the final data stream, send an email to VASTChal2014MC3@vacommunity.org containing your answer to question
MC3.1. Please include a copy of your
answer to MC3.1 in your final answer form also. Your answers to MC3.2 and
MC3.3, along with your video, are due July 8.
The
responses to these questions should be incrementally built, as you (the
contestant) acquire information from each streaming data segment you
receive. Your submission will answer these questions in consideration of
all of the streaming data segments.
MC3.1 -
Within 3 hours after start the final data stream, send an email to VASTChal2014MC3@vacommunity.org containing:
a.
An image showing the streaming data in
your visual analytics tool. In this image, identify an event of interest that
you intend to investigate further.
b. The content of the final message in the data stream
Provide a copy of the answer you
submitted by email and corresponding image here.
MC 3.2 - Describe the timeline of up to
five major events that you discover in the streaming data. This timeline should
include information from all three segments of the data stream if needed.
Use specific microblog records and call center data to support
your description, but do not simply mimic back the data stream. Provide a
concise description of important participants, locations and durations.
Focus your response on the events themselves, rather than on the individuals
reporting the events. Please limit your answer to no more than ten images and
1500 words.
Provide your answer and corresponding
images here.
MC 3.3 – Select one of your five major events
from question MC 3.2 that you consider to be most likely to provide additional
clues to the investigation of the GASTech disappearances. Describe
the roles of the participants. Describe how other events you identified
in MC3.2 may have influenced your selected event. Provide a hypothesis and
evidence as to whom you suspect as being directly involved in the GAStech disappearances, either as perpetrators or
victims. Please limit your response to no more than five images and 500
words.
Provide your answer and corresponding
images here.