Shape Computation Lab

DCC20 / AIEDAM Thematic Collection Paper Guide


AIEDAM Special Issue, Volume 35, Number 4, Fall 2021
Guest Editors: Athanassios Economou & Yan Jin


Submission to the AIEDAM Thematic Collection should normally cover the material in the following headings:


The Title should be informative, specific and be an attractor to the content of the paper.


The Abstract should tell the reader about the content of the paper and should be stand-alone text without any references, to allow it to be listed independently of the paper. The Abstract is not the place for the argument, explanation or editorializing.


Introduction (Background and Motivation)
Since the Thematic Collection aims to attract authors and readers from the multiple disciplines that carry out design science research, this section should contain sufficient material for a design researcher, who is not an expert in the specific topic of the paper, to gain an understanding of the issues being researched. It should address the relevant background literature through the analysis of the literature’s content and provide the motivation for the research by identifying gaps in the available knowledge. With the heterogeneity of the readers more references that cover the background should be provided.


The overarching goal(s) of the research should be succinctly stated here.


For papers reporting the results of computational or empirical experiments, after stating the aims, the hypotheses that are being tested need to be stated (and referred to later in the paper). For theory papers, after stating the aims, what issue is being addressed needs to be presented.


What will be known or be able to be done that could not be done before if the aims are achieved.


This is the place to describe the why, what, how, who and when of the research in a form such that it can be repeated by another cognate researcher. Describe the nature of the independent/input data and the measured/output data.


Describe the results in a form that matches the independent/input and measured/output data described in the Method section. If presenting statistical models ensure that the correct method has been used. Tables and figures provide basic structure to results that make it easier for a reader to grasp what is presented.


The measured/output data generally needs to be analyzed by structuring it (often statistically) and possibly turning it into a form where it can be used to test the hypotheses listed in the Aims section of the paper. Where appropriate the structured results can be compared with results in previous publications. What else can be gleaned from the results?


This is the place to present whether the results provide support for the hypotheses? If so – how? If not – how not? What does this mean for the hypotheses? Do the results lead to other work? What other claims can be made based on the results?


This is the place to list people, institutions and funders who provided support for the research reported in the paper.


All references mentioned in the text need to listed. Ensure the references are complete so that a reader can find them.


This is the place for additional detailed information about experimental setup, charts, pseudo code, and more detailed results, if needed.


Guest Editors


Athanassios Economou, Ph.D.
Professor, School of Architecture, College of Design
Professor (Adjunct), School of Interactive Computing, College of Computing
Director, Shape Computation Lab
Georgia Institute of Technology
Atlanta, GA 30332, USA
Phone: +1 (404)510-0200


Yan Jin, Ph.D.
Professor, Department of Aerospace & Mechanical Engineering, Viterbi School of Engineering
Director, IMPACT Lab
University of Southern California
Los Angeles, CA 90089-1453, USA
Phone: +1 (213)740-9574