44th International Symposium on Forecasting | Dijon, France

The ISF Program Committee looks forward to receiving abstracts and hearing inventive presentations that demonstrate again that the annual forecasting symposium is the premier forum where the latest forecasting research is presented.

Deadlines

March 8 Invited session proposals
March 22 Abstract submission
April 5 Notification of acceptance/rejection of abstracts
May 6 Registration deadline for accepted abstracts

Invited Sessions

Invited topic sessions are put together by an individual, generally the Chair, with a set of speakers who they invite to present on a related, forecasting theme. The proposed session is reviewed by the ISF program committee for inclusion in the program.

We are accepting proposals for invited sessions of 3-4 committed talks. When submitting a proposal, include session title, general description of the session, names of participants (including email, affiliation), and their tentative talk titles. The deadline for submitting an invited session is March 8, 2024. Send proposals to: [email protected].

Guidelines

• You may only submit ONE abstract and give one talk. You may be listed as a co-author on additional papers.
• Abstracts titles have 150 character maximum and abstract description must be 350 words or less.
• Abstracts must be in English.
• Abstracts will be published exactly as entered if accepted. Please review your abstract and check for typographical and spelling errors, coherence, and technical content.
Guidelines for participating in sessions.
• All speakers are expected to attend the ISF in person.
• You will be asked to select the Methodology and Application category for your abstract.*

Methodology Areas *

Bayesian methods Neural Networks
Combinations Nowcasting
Econometrics Operations Research
Engineering Risk and uncertainty
Exponential smoothing State space models
Forecast evaluation Seasonality
Judgemental State Space Model
Machine Learning Statistics
Multivariate times series models Volatility

Application Areas

Big Data Energy Pharmaceuticals
Business cycles Government Political
Climate and environment Healthcare Prediction markets
Crime Inflation Sports
Data Mining Intermittent demand Supply Chain
Demand Information and Communications Tech Tourism
Demography Macroeconomics Transportation
Education Marketing Other applications