[DMANET] MCDM 2019: Special session on Data Science meets Multiple Criteria Decision Making

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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

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: January 30, 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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