The Distinguished Lecture Series is IIF’s premier seminar series, offering members access to learn from and interact with eminent scholars from all across the forecasting discipline. It primarily aims at an academic audience and typically comprises four thematically related seminars showcasing the latest cutting-edge research of the Distinguished Lectures. While live sessions are only accessible to IIF members, all Distinguished Lecture Series are recorded, irrespective of whether they take place in person or in the form of a webinar. They are later published on the IIF’s YouTube channel @IIForecasters, thereby serving the wider forecasting community.

Lecture Series 2027

IIF Distinguished Lecture Series continues! Join us as we welcome Professor Haiyan Song from The Hong Kong Polytechnic University, and Professor Jennifer Castle from Magdalen College and Climate Econometrics, University of Oxford, to continue in January and September 2027 during the fourth year of this initiative.

Instructor: Prof. Haiyan Song, School of Hotel and Tourism Management, The Hong Kong Polytechnic University

Dates: January 6, 13, 20 and 27, 2027 at 8am EDT (US East Coast)

Lecture Topic:

  1. Tourism Demand Modelling and Forecasting: Evolutionary Pathways and the Horizon 2030 Agenda
  2. Bayesian Bootstrap Aggregation for Tourism Demand Forecasting: Enhancing Econometric Stability in Limited Data Environments
  3. Dynamic Mixed-Frequency Econometric Modeling for Real-Time Tourism Recovery and Demand Nowcasting
  4. Methodological Innovations in Tourism Demand Forecasting: A Closed-Loop Multi-Stage Architecture

For more details, visit Haiyan’s lecture overview.

Instructor:

September 2027: Prof. Jennifer Castle, Magdalen College and Climate Econometrics, University of Oxford

Dates: September 17, October 1, 15 and 29, 2027 at 2pm UK BST

Lecture Topic: Climate Change Forecasting with Econometric Methods

For more details, visit Jennifer’s lecture overview.

Past Series (on IIF YouTube Channel)

March 2026 Christiane Baumeister Recent Advances in Forecasting Energy Prices: Data, Models, and Risk Analysis
March 2025 Rafał Weron Electricity Price Forecasting
November 2003 Rob Hyndman Forecast Reconciliation