We sincerely invite you to submit a paper to the special session on Agent-based models and computational economics to be held at the AMASES2018 conference.
The main aim of the the special session is to stimulate discussion among scholars and practitioners who are interested in the application of agent-based models and computational techniques to the social sciences and economics. The special session is particularly open to contributions that represent original research but also review papers and contributions that cover methodological aspects of agent-based modeling and computational techniques in the context of the social sciences and sconomics are welcome.
SUBMISSIONS
Your are invited to submit an extended abstract of at most 2.000 characters (spaces included) in PDF format by May 30, 2018. Each speaker can give only one talk.
Required information include:
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Title
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Author(s)
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Affiliation (for each author)
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Institution address (for each author)
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eMail address (for each author)
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One to four keywords
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Up to 5 references
The extended abstract should be written in English and prepared according to this LaTex template, or with another word processor capable to produce output in this form.
Please name your abstract according to this format: AB-[surname of the presenting author].pdf
Registration to the Meeting by July 2, 2018 is mandatory in order to have the communication included in the final program.
Please follow this link to submit your abstract.
IMPORTANT DATES
Abstract Submission: May 30, 2018
Notification of acceptance: June 11, 2018
Deadline for early registration: June 16, 2018
Deadline for registration: July 2, 2018
Conference: September 13-15, 2018
HOMEPAGES
Conference: http://amases2018.uniparthenope.it
Submission:https://easychair.org/conferences/?conf=amases2018
LaTEx template: http://amases2018.uniparthenope.it/files/abstract_template.tex
CONTACT
Stephan Leitner and Friederike Wall
Alpen-Adria-Universität Klagenfurt
Dept. for Management Control and Strategic Management
Universitätsstraße 67-67
9020 Klagenfurt, Austria
T +43 463 2700 4003
[email protected]
[email protected]