[Opt-Net] Special session on Optimization for forecasting at MIC 2024

[vittorio maniezzo]

Special session on Optimization for forecasting at MIC 2024

Optimization and forecasting are interconnected, if only because 
optimized outcomes are typically meant to be applied in future settings. 
Business analytics, in its variants of predictive analytics and 
prescriptive analytics, builds on this, including forecasting and 
optimization tasks. However, these tasks are frequently separated and 
lack cohesion. There have been studies on data uncertainty, but until 
recently little work has been done on integrated approaches, 
specifically on optimization methods applied to forecasting. The recent 
growth of AI has introduced new, effective approaches, whereas 
forecasting algorithms were previously primarily based on statistical 
considerations.

Given the growing awareness of the interplay between optimization and 
AI, which has made it a hot topic for meta- and matheuristics, this 
session aims to focus on the connection between optimization and 
forecasting, whether based on AI or other techniques. The goal is to 
provide a platform for exchanging ideas, raising awareness of recent 
developments, and stimulating discussions on the intersection of these 
two areas.

Submissions to the session follow the same process as regular conference 
submissions, simply select the session from the drop-down field on the 
Easychair submission page at 
https://easychair.org/conferences/?conf=mic2024.

Essential guidelines are in the following, for more details please refer 
to the conference web page at https://mic2024.fr/
## Submission Guidelines
All papers must be original and not simultaneously submitted to another 
journal or conference. The following paper categories are welcome:
- Regular paper: novel and original research contributions of a maximum 
of 15 pages (LNCS format)
- Short paper: extended abstract of novel research works of 6 pages 
(LNCS format)
- Oral presentation: high-quality published or preliminary recent works
## Important Dates
- Submissions / registrations open: December 1st, 2023
- Submission deadline: January 5th, 2024
- Notification of acceptance: February 2nd, 2024

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________________________________________________________________
                       Vittorio Maniezzo, prof.
Department of Computer Science  || vittorio.maniezzo at unibo.it
University of Bologna           || orcid: 0000-0002-1220-1235
via dell’Università n. 50,      || https://www.unibo.it/sitoweb/vittorio.maniezzo/en
47521 Cesena, Italy             ||