Special Issue "Improved Forecasting Through Artificial Intelligence"
Deadline for manuscript submissions: 31 October 2021.
Interests: hybrid intelligence; forecasting; collective behavior; decision making; computational social science
Interests: forecasting; swarm AI; machine learning
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
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.
- artificial intelligence
- predictive models
- hybrid methods
- algorithmic forecasting
- financial forecasting
- sport forecasting
- geo-political forecasting
- machine learning