Foresight: The International Journal of Applied Forecasting
2005 - 2025
From International Institute of Forecasters Contact information at EDIRC. Bibliographic data for series maintained by Michael Gilliland (). Access Statistics for this journal.
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2025, issue 76
- Strategic Forecasting in Biopharma: Preview of Special Feature pp. 5-5

- Christian Schaefer
- Probability Assessments to Support Portfolio Management at Eli Lilly pp. 6-14

- Charles Persinger and Jay Andersen
- Neural Network Models to Predict Clinical Trial Completion pp. 15-20

- Clarke Patrone, Jaseem Mahmmdla, Roshan Seth and Gayathri Devi Raghupathy
- The Impact of Events and Order of Entry pp. 21-27

- Nicholas Guthrie
- Forecasting the Uptake of Gene Therapies pp. 28-33

- Gary Johnson
- Long-Term Product Forecasting in Pharmaceuticals pp. 34-39

- Robert F. Siegmund
- Addressing Bias in Pharmaceutical Pipeline Forecasting pp. 40-46

- Richard Murgatroyd
- Prognostication with Unusual Sources pp. 47-48

- Thomas Wolfram
- The Insufficiency of Looking at Forecast Accuracy Alone pp. 49-50

- Steven Pauly
- Brier Score vs. Log Score pp. 51-52

- Stephan Kolassa
2024, issue 75
- Large Language Models as Benchmarks in Forecasting Practice pp. 5-10

- Hossein Hassani and Emmanuel Sirimal Silva
- LLMs, Data Leakage, Bullshit, and Botshit pp. 11-16

- Stephan Kolassa
- Commentary: Can LLMs Provide Good Forecasts? pp. 18-20

- Christoph Bergmeir
- Reply to the Commentaries: A Plea for the Ranked Probability Score pp. 21-23

- Malte Tichy
- Unethical Behavior in Forecast Accuracy Evaluation pp. 24-31

- Kevin Forbes
- Limiting Extreme Behavior in Forecasting Competitions pp. 32-37

- Matthew J. Schneider, Jethro Browell and Rufus Rankin
- Linear Regression with a Time Series View Part 4: Logistic Regression for Binary Outcomes pp. 38-43

- Ken Fordyce
- Review: Global Energy Outlook 2024: Peaks or Plateaus? by Daniel Raimi, Yuqi Zhu, Richard G. Newell, and Brian C. Prest pp. 44-46

- Ira Sohn
- The Brier Score and Its Decomposition pp. 47-48

- Stephan Kolassa
2024, issue 74
- Alliance or Apathy? Forecasting's Role in Achieving the U.N. Sustainable Development Goals pp. 5-6

- Bahman Rostami-Tabar and Michael Gilliland
- Scaling-Aware Forecast Rating pp. 7-11

- Malte Tichy
- Commentary: A Good Correction for Forecastability pp. 12-13

- Stefan de Kok
- Commentary: A Major Milestone for Forecast Accuracy Summarization pp. 14-15

- Tim Januschowski
- Commentary: The Scaling Trap in Retail Forecasting pp. 16-17

- Zabiulla Mohammed
- How Do I Set Forecast Accuracy Expectations? pp. 18-19

- Patrick Bower
- Information that Can Damage Your Demand Forecasts pp. 20-22

- Paul Goodwin
- Forecast Desirability: Is Better the Enemy of Good? pp. 24-29

- Johann Robette
- Point Forecast Evaluation: State of the Art pp. 30-35

- Ivan Svetunkov
- Linear Regression with a Time Series View Part 3: Qualitative Predictor Variables pp. 36-41

- Ken Fordyce
- Decision Intelligence: A Critical Reflection pp. 42-44

- Roger Moser
- Spotlight: Interview with Marina Sologubova pp. 45-46

- Foresight Staff
- A Planner-centric Approach to Judgmental Forecasting pp. 47-48

- Niels van Hove
2024, issue 73
- Failing to Pay Attention to Error: Our Greatest Error pp. 5-12

- Steve Morlidge
- A Critical Evaluation of the Assumptions of Forecast Value Added pp. 13-23

- Conor Doherty
- Commentary: FVA: The Gold Standard for Collaborative Forecasting pp. 24-25

- Jeff Baker
- Commentary: Using FVA the Right Way pp. 26-27

- Stefan de Kok
- Commentary: Apologia pro Forecast Value Added pp. 28-29

- Igor Gusakov
- Commentary: FVA Remains Relevant and Valuable pp. 30-30

- Marina Sologubova
- Commentary: How to Properly Leverage FVA pp. 31-32

- Nicolas Vandeput
- LLMs and Foundational Models: Not (Yet) as Good as Hoped pp. 33-38

- Christoph Bergmeir
- Fordyce discusses multiple linear regression in Part 2 of his tutorial series "Linear Regression with a Time Series View." Copyright International Institute of Forecasters, 2024 pp. 39-45

- Ken Fordyce
- The Accuracy of Prediction Markets pp. 48-53

- Thomas Wolfram
- Book Review: Judgment in Predictive Analytics, edited by Matthias Seifert pp. 54-57

- Robert Fildes
- Book Review: The Age of Prediction: Algorithms, AI, and the Shifting Shadows of Risk by Igor Tulchinsky and Christopher E. Mason pp. 58-60

- Ira Sohn
- Spotlight: Interview with Eric Stellwagen pp. 61-62

- Foresight Staff
- Interactions in Forecasting pp. 63-64

- Stephan Kolassa
2024, issue 72
- J. Scott Armstrong (1937 - 2023): Iconoclast and Champion of Science for Practical Purposes pp. 5-7

- Kesten Green
- Lessons from a Mentor and Friend pp. 8-8

- Andreas Graefe
- Scott Armstrong's Scientific Legacy pp. 9-9

- Arch Woodside
- The Forecaster's Evaluation Dilemma pp. 10-14

- Malte Tichy
- Combining Probability Predictions pp. 15-20

- Ville A. Satop??
- Estimating Predictive Probability of Success pp. 21-28

- Shaun Comfort
- Accuracy vs. Runtime with Multiple Seasonalities pp. 29-32

- Stephan Kolassa
- Linear Regression with a Time Series View, Part 1: Simple Linear Regression pp. 35-39

- Ken Fordyce
- How Well Can Social Scientists Forecast Societal Change? pp. 40-46

- Igor Grossmann, Christoph Bergmeir and Peter Slattery
- A Case for a More Decision-centric IBP pp. 47-51

- Niels van Hove
- How Decision Intelligence Integrates Forecasting, AI, and Data into Complex Decisions pp. 52-57

- Lorien Pratt, David Roberts, Nadine Malcolm, Brian Fisher, Katie Barnhill, Daniela Jones and Michael Kudenov
- Book Review: Sales & Operations Planning -An Executive Update by Robert A. Stahl pp. 58-59

- Patrick Bower
- Book Review: Power and Prediction: The Disruptive Economics of Artificial Intelligence, by Ajay Agrawal, Joshua Gans, and Avi Goldfarb pp. 60-63

- Ira Sohn
- Book Review: Demand Forecasting for Executives and Professionals, by Stephan Kolassa, Bahman Rostami-Tabar, and Enno Siemsen pp. 64-65

- Simon Spavound
- Spotlight: Interview with Sevvandi Kandanaarachchi pp. 66-67

- Foresight Staff
- Spotlight: Interview with Ruben Crevits pp. 68

- Foresight Staff
- In Pursuit of Consumption-Based Forecasting pp. 69-71

- Charles Chase and Kenneth B. Kahn
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