Special Issue "Improved Forecasting Through Artificial Intelligence"

A special issue of Forecasting (ISSN 2571-9394). This special issue belongs to the section "Forecasting in Computer Science".

Deadline for manuscript submissions: 31 October 2021.

Special Issue Editors

Dr. Niccolo Pescetelli
Guest Editor
D.Phil., Research scientist & Principal Investigator, Max Planck Institute, 94 Lentzeallee, 14195, Germany
Interests: hybrid intelligence; forecasting; collective behavior; decision making; computational social science
Mr. Gregg Willcox
Guest Editor
Director of Research and Development, Unanimous AI, 2443 Fillmore Street, San Francisco, CA 94115-1814, USA
Interests: forecasting; swarm AI; machine learning

Special Issue Information

Dear Colleagues,

We are pleased to announce a new Special Issue, entitled “Improved Forecasting Through Artificial Intelligence.”

Artificial Intelligence (AI) is changing the way society operates, perceives, trades, and communicates. In the last decade, researchers in AI have made paradigm-shifting progresses, thanks to increasing data availability and lower computational costs. 

This Special Issue will cover recent advances in artificial intelligence to improve the ability of analysts, businesses, organizations, and intelligence agencies to accurately predict the future. 

We welcome submissions from researchers and practitioners in the field of forecasting that use algorithmic or hybrid methods. Priority will be given to research articles that present significant advances in their field of application, rather than incremental ones. 

We especially seek submissions that advance their field with original empirical findings, new methods, or designs. We also encourage researchers to submit insightful perspectives into the future challenges that current AI approaches are facing, social and methodological roadblocks, and moral considerations on the effect that artificial forecasting systems may have on consumers, citizens, and countries. 

Dr. Niccolo Pescetelli
Mr. Gregg Willcox
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forecasting is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • forecasting
  • artificial intelligence
  • predictive models
  • hybrid methods
  • algorithmic forecasting
  • financial forecasting
  • sport forecasting
  • geo-political forecasting
  • machine learning

Published Papers

This special issue is now open for submission.
Back to TopTop