8 May
2017
8 May
'17
11:05 a.m.
Apologies for cross-postings - please contact Charisma or Anita if any
questions.
Happy Monday-
Stacey
From: Charisma Choudhury [mailto:C.F.Choudhury@leeds.ac.uk]
Sent: Monday, May 8, 2017 9:00 AM
To: sgbricka(a)gmail.com
Cc: maren.outwater(a)rsginc.com
Subject: Special Issue on "Choice Modelling Using Emerging Data Sources",
Journal of Choice Modelling
Dear Stacey and Maren,
Can you please forward the following call for papers on 'Choice Modelling
Using Emerging Data Sources' to the members and friends of ABJ30?
Thanks in advance.
Best
Charisma
--
Charisma F. Choudhury, PhD, FHEA
Deputy Director, Choice Modelling Centre
Leader of the Choice Modelling Group, Institute for Transport Studies
University of Leeds
http://www.its.leeds.ac.uk/people/c.choudhury
From: Charisma Choudhury
Sent: 08 May 2017 14:47
To: 'Universities Transport Study Group (UTSG(a)JISCMAIL.AC.UK
<mailto:UTSG@JISCMAIL.AC.UK> )' <UTSG(a)JISCMAIL.AC.UK
<mailto:UTSG@JISCMAIL.AC.UK> >
Subject: Special Issue on "Choice Modelling Using Emerging Data Sources",
Journal of Choice Modelling
Dear colleagues,
Please find below the call for papers for a special issue of the Journal of
Choice Modelling on Choice Modelling Using Emerging Data Sources. The
special issue will include both methodological and applied papers on the
innovative use of emerging data sources in various domains of choice
modelling ranging from transport, health, consumer choice, etc.
Submission is open from now till 15 January 2018 and the accepted papers
will be available online on a rolling basis.
Full details are available below. We are happy to answer any queries you may
have.
Best regards
Charisma Choudhry ( <mailto:c.f.choudhury@leeds.ac.uk>
c.f.choudhury(a)leeds.ac.uk) and Anita Rao (
<mailto:anita.rao@chicagobooth.edu> anita.rao(a)chicagobooth.edu)
Guest Editors for the Special Issue
Title:
Choice Modelling Using Emerging Data Sources
Background and Scope:
Choice modellers have traditionally relied on manually collected survey data
which are expensive to obtain and thereby generally have limited sample
sizes and lower update frequencies. Moreover, such data are prone to
reporting errors. On the other hand, over the last decade, passively
collected data sources, which are typically very large and commonly termed
as 'Big Data', have emerged as a very promising source of long, medium and
short-term choices. These range from GPS tracks, mobile phone records,
credit card transactions, social media data, supermarket scanner and loyalty
card data, health records, online browsing information, etc. These passive
data sources not only provide information about the choices made in
different contexts but also about the attributes of the unchosen
alternatives, which is very often not the case in traditional data sources.
Further, they also provide useful insights about the decision makers. For
instance, social media data provide information about the general likes and
dislikes of the user as well details of the characteristics and composition
of his/her online social network.
Data sources like these, which are continuously generating invaluable
information, have already gained widespread interest among the choice
modelling community. However, there are significant challenges associated
with utilising the full potential of these data sources due to the missing
information (socio-demographics of the decision maker and his/her choice set
for instance), privacy issues, potential biases etc. Further methodological
issues often arise due to the sheer volume of the data which challenge the
applicability of the same modelling techniques as used in the traditional
choice modelling data.
The special issue of Journal of Choice Modelling invites paper both on
methodological research on choice modelling using emerging data sources and
its applications in various domains of choice modelling ranging from health,
consumer choice, transport, etc. Potential topics of interest include (but
are not limited to) the following:
. Innovative use of emerging data sources for choice modelling
. Cross comparison of choice models developed using traditional
and emerging data sources
. Methodologies to account for the limitations of the emerging
data sources
. Application and validation issues of choice models estimated
using such data sources
Important Dates:
Submission deadline: 15 Jan 2018
Date for full publication: 15 Dec 2018
(the accepted papers will however be available online on a rolling basis)
Guest Editors:
Charisma Choudhury, Choice Modelling Centre, Institute for Transport
Studies, University of Leeds
<mailto:c.f.choudhury@leeds.ac.uk> c.f.choudhury(a)leeds.ac.uk
Anita Rao, The University of Chicago Booth School of Business
<mailto:anita.rao@chicagobooth.edu> anita.rao(a)chicagobooth.edu
Special Issue Submission Guidelines:
The submission website for this journal is located at:
<http://www.evise.com/evise/jrnl/EVISE_JOCM>
http://www.evise.com/evise/jrnl/EVISE_JOCM
To ensure that all manuscripts are correctly identified for inclusion into
the special issue, authors should select the name of the special issue when
they upload their manuscripts as
SI: Emerging Data Sources.