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Scientific Publishing in Operations Research and Management Science - 2019

Overview:

The seminar seeks to improve the writing skills of participating doctoral students by giving them opportunities for providing and receiving constructive feedback on papers which are written by the participants themselves. As a rule, these papers are at an advanced stage of preparation and therefore nearly ready for submission to scientific journals.

The seminar is lead by Prof. Ahti Salo and Prof. Juuso Liesiö (forname.surname@aalto.fi), and M.Sc. (Tech.) Ellie Dillon (forname.surname@aalto.fi) is the course assistant. The seminar is open to all doctoral students in the Doctoral Programme in Systems Analysis, Decision Making, and Risk Management.
Content:

The students are required to (i) read carefully the paper which is made available to the course participants before the meeting, and (ii) prepare and present a 1-to-2-page review report on the paper. These reports are discussed at the seminar meeting with the aim of helping the author(s) strengthen the scientific contribution of the paper and improve the quality of the presentation. The paper will be distributed about a week before the meeting (if you would like to attend, please request the manuscript(s) from the course assistant). At times, more than two papers may be made available to the participants. In this case, those attending the seminar are expected to have written a review report on at least one of the papers.

The course participants will be awarded one ECTS credit for active participation in three meetings. The course can be taken several times.
Meetings:

Meetings are held in the Systems Analysis Laboratory or at the Töölö Campus. The dates and times of these meetings are shown on the course website.

  • Mon 28.1.2019 at 16.15 in Riihi (Y225a)

(1) Jussi Lindgren: Optimal deficit management and sustainability of public debt with fiscal multipliers, and

(2) Alessandro Mancuso, Piotr Zebrowski and Aitor Couce Vieira: Risk-based Selection of Mitigation Strategies for Cybersecurity of Electric Power Systems