45th International Symposium on Forecasting | Beijing, China
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 7 | Invited session proposals |
| March 28 | Abstract submission (Extended from March 21) |
| April 4 | Notification of acceptance/rejection of abstracts |
| May 1 | 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 7. Send proposals to: isf@forecasters.org.
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 |