Call for Participation
6th International Business Process Intelligence Challenge (BPIC 16)
to be held in conjunction with BPI 2016
Rio de Janeiro, Brazil
September 19, 2016
http://www.win.tue.nl/bpi/doku.php?id=2016:challenge
CALL FOR PARTICIPATION
===============
Business Process Intelligence Challenge (BPIC) aims to allow researchers to
present the appicability of their BPI research on real-life cases. Each year, a
real-life event log is prepared with a number of questions from the companies
and you are asked to answer these questions with any technique available to
you. This year's data is provided by UWV. UWV (Employee Insurance Agency) is a
Dutch autonomous administrative authority (ZBO) and is commissioned by the
Ministry of Social Affairs and Employment (SZW) to implement employee
insurances and provide labour market and data services in the Netherlands.
The data in this collection pertains to customer contacts over a period of 8
months and UWV is looking for insights into their customers' journeys. The data
is focused on customers in the WW (unemployment benefits) process.
Challenges
================
In particular, UWV is interested in the way both the site www.werk.nl and the
Werkmap are used. Any insights into typical usage patterns across the various
channels are therefore interesting, but there are some specific questions:
1) Are there clear distinct usage patterns of the website to be recognized? In
particular, insights into the way various customer demographics use the website
and the Werkmap pages of the website are of interest.
2) Do the usage patterns of the website by customers change over time? Do
customers visit different pages when they start using the website versus when
they have been using the website for some time? How does the usage change over
time?
3) When is there a transition from the website to a more expensive channel,
such as sending a Werkmap message, contacting the call center or filing a
complaint? Is there a way to predict and possibly prevent these transitions?
4) Does the behavior of the customers change after they have send a Werkmap
message, made a phone call or filed a complaint? Are customers more likely to
use these channels again after they have used them for the first time? What is
the customer behavior on the site after customers have been in contact through
the Werkmap or by phone?
5) Is there any specific customer behavior that directly leads to complaints?
6) Finally, we challenge the creative minds, to surprise UWV with new insights
on the provided data to help improve the experiences of our customers when
using the website.
Just like last year, the challenge is split into two separate challenges. The
first challenge is specifically targeting researchers and professionals in the
area of business process intelligence, where the second challenge is targeting
students (Bachelor, Master and PhD Students).
Prizes
================
The prize in both competitions is a trophy for the winner. Furthermore, Minit
(www.minitlabs.com) is kindly sponsoring the flight for a representative of the
winner to receive the award in Rio de Janeiro on the workshop day.
Submission guide
================
Submissions should be made through EasyChair at
https://www.easychair.org/conferences/?conf=bpic2016. A submission should
contain a pdf report of at most 30 pages, including figures, using the
LNCS/LNBIP format
(http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0) specified by
Springer (available for both LaTeX and MS Word). Appendices may be included,
but should only support the main text.
Important Dates
===============
Abstract submission deadline: Saturday, July 2, 2016
Full version submission deadline: Saturday, July 16, 2016
Workshop day and
announcement of winner: Monday, September 19, 2016
Organizers
==========
- Boudewijn van Dongen, Eindhoven University of Technology, The Netherlands
(corresponding organizer)
- Jan Claes, Ghent University, Belgium
- Jochen De Weerdt, KU Leuven, Belgium
- Andrea Burattin, University of Innsbruck, Austria
Sponsors
=================
- Minit - Automated business process discovery with actionable insights in
seconds
- TU/e - Mathematics & Computer Science
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