[DMANET] Deadline Extension - MCDM 2019: Special Session on Data Science meets Multiple Criteria Decision Making

Dear colleagues,

Due to high level of interest from participants, the MCDM 2019 organizing committee has extended the abstract submission deadline until February 27, 2019.

Hope to see you in Istanbul,
Tinkle
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< We apologize for multiple posting. Please kindly disseminate this Call for Abstracts to your colleagues and contacts>

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CALL FOR ABSTRACTS
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Special Session on
Data Science meets Multiple Criteria Decision Making

25th International Conference on Multiple Criteria Decision Making (MCDM 2019)
16-21 June 2019, Istanbul, Turkey

Abstract submission deadline: 30 January 2019 27 February 2019
Special Session webpage: http://users.jyu.fi/~jhaka/DataDrivenSessionMCDM2019.html
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Scope of session
The emergence of advanced technologies and digital businesses has been changing our world and leading to a situation where physical assets are becoming less essential in business compared to non-physical assets. Data may become the most valuable asset a company has, urging the need to rethink how to tackle modern decision making problems. This special session focuses on this aspect and in particular on Data-Driven Multiple Criteria Decision Making. This session is addressing an important research question:
Given a dataset, how can one formulate and subsequently solve a decision making problem that addresses a particular challenge of interest?
This question can be broken down into many sub-questions/challenges, which define (but do not limit) the scope of the session as follows:

· Given a set of data related to making a decision (in contrast to a formal description e. g. via equations and functions), what are the challenges in defining a multiple criteria problem and how can these challenges be addressed?

· What properties should the dataset possess to facilitate data-driven MCDM?

· How can one account for non-suitable data – for example, datasets that are very large or small, incomplete, consisting of various data types, noisy, etc. – when solving an MCDM problem?

· If a dataset can be modified to aid the decision making process but at high cost, time and/or other resource expenditure, then how can one solve the MCDM problem most efficiently?

· How to utilize machine learning techniques in i) formulating the multiple criteria problem from the given data and ii) supporting the decision making process by optimization techniques?

· Are novel MCDM techniques required for data-driven decision making?

· What most common real-world applications fall into the category of data-driven MCDM?

Abstract submission
Abstracts with at most 4000 characters can be submitted here: Submit abstracts<http://cmt3.research.microsoft.com/MCDM2019/>. Please select "IS01 (Hakanen, Allmendinger, Chugh)" under "Subject Areas" and "Invited Sessions". Detailed submission guidelines can be found here<https://mcdm2019.wordpress.com/call-for-abstracts/>.

Important dates
Abstract submission: 30 January 2019 27 February 2019
Author notification: March 20, 2019
Early bird registration deadline: April 10, 2019
Last date for registration: May 8, 2019

Special session organizers
Jussi Hakanen (Faculty of Information Technology, University of Jyväskylä, Finland)
Richard Allmendinger (Alliance Manchester Business School, University of Manchester, UK)
Tinkle Chugh (University of Exeter, UK)

More information about the organizers can be found on the session webpagehttp://users.jyu.fi/~jhaka/DataDrivenSessionMCDM2019.html


Contact
Please feel free contact any of the special session organizers (at jussi.hakanen@jyu.fi<mailto:jussi.hakanen@jyu.fi>, richard.allmendinger@manchester.ac.uk<mailto:richard.allmendinger@manchester.ac.uk>,t.chugh@exeter.ac.uk<mailto:t.chugh@exeter.ac.uk>) in case you have any questions about the session.


Best wishes,
The Session Organizers





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