M3E2 2021
The 9th International Conference on Monitoring, Modeling & Management of Emergent Economy
PROCEEDINGSThe 9th International Conference on Monitoring, Modeling & Management of Emergent Economy
PROCEEDINGSMonitoring, Modeling & Management of Emergent Economy (M3E2) is a peer-reviewed international conference focusing on research advances and applications of nonlinear dynamics methods, econophysics and complex systems methodology of emergent economy.
The M3E2 Conference occupies contributions
in all aspects of Computational Finance, Economics, Risk Management, Statistical Finance, Trading and Market Microstructure,
Machine Learning
technologies and tools, paradigms and models,
relevant to modern financial engineering and
technological decisions in the modern age. There is urgent general need for principled
changes in postclassic economy elicited by current models, tools, services, networks and IT
communication. Let’s to come, show your best practice, and envisage your future
actions at the front line of high-tech economy.
Topics of interest
Authors are invited to submit full (and original research) papers (at least 6 pages) including surveys, tutorials, perspective/colloquia articles in conference topics of interest through the HotCRP (https://notso.easyscience.education/m3e2/2021/) by January 20, 2020.
Research articles should present new material and not duplicate other papers already published or due to be published. They should contain sufficient background and motivation and they should present proofs, where applicable, or at least outlines of such in sufficient detail to enable an expert to complete them.
Submitted papers will be peer-reviewed by two reviewers on the basis of technical quality, relevance, originality, significance, and clarity. If necessary, a third, additional reviewer will be involved. The Program Committee will use these reviews to determine which papers will be accepted for presentation at the conference. The result of the reviewing will be announced to the submitting authors by email, along with reviewer comments, if any.
Accepted papers will be publication published as a special issue of the SHS Web of Conferences journal (eISSN: 2261-2424 / publisher: EDP Sciences) in three month after the conference.
The conference fee includes:
a) the registration fee covers attendance to all sessions, lunches and coffee/tea breaks during the conference (UAH 400);
b) the publication fee (approx. € 60).
Odessa National University of Economics, Myrnyy Kurort, 71a Fontanska Road, Odessa, 65000, Ukraine
Research articles should contain sufficient background and motivation and they should present proofs, where applicable, or at least outlines of such in sufficient detail to enable an expert to complete them. Thus summaries and mere announcements of papers appearing elsewhere cannot be included, although more detailed versions of e.g. a highly technical contribution may well be published elsewhere later.
Surveys should cover a sufficiently broad topic, and should normally not just review the author's own recent research. In the case of surveys proofs of results may not be necessary.
We intend to publish M3E2 post-proceedings volume "Machine Learning for Prediction of Emergent Economy Dynamics". For this, full papers focussing on machine learning topics must be submitted until the post-proceedings deadline. The authors of all presented contributions will have the opportunity (but no obligation) to submit a full paper for the post-proceedings volume. These must represent original work and should not be submitted to another conference or journal at the same time. The submission deadline for these post-proceedings will be after the conference in July 2021. There will be a second round of reviewing for selecting papers to be published in the post-proceedings.
Vladimir Soloviev, +380-67-2647557, vnsoloviev2016@gmail.com
Hanna Danylchuk, +380-63-4499986, abdanilchuk@gmail.com