All Stories

  1. Predicting human decisions with behavioural theories and machine learning
  2. Behavior engineering using quantitative reinforcement learning models
  3. Underweighting of rare events in strategic games
  4. Using machine learning to create an adaptable, scalable, and interpretable behavioral model.
  5. Beyond analytic bounds: Re-evaluating predictive power in risky decision models
  6. Towards Choice Engineering
  7. Predicting the direction of human deviation from optimal choice
  8. AS-BEAST: Using machine learning to create an adaptable, scalable, and interpretable behavioral model
  9. mRAPID Study: Effect of Micro-incentives and Daily Deadlines on Practice Behavior
  10. Motivational drivers for serial position effects: Evidence from high-stakes legal decisions.
  11. Better results through more enforcement with milder punishments
  12. To predict human choice, consider the context
  13. To predict human choice, consider the context
  14. Enforcement policies: Frequency of inspection is more important than the severity of punishment
  15. Prediction oriented behavioral research and its relationship to classical decision research
  16. Underweighting of rare events in social interactions and its implications to the design of voluntary health applications
  17. Underweighting of rare events in social interactions and its implications to the design of voluntary health applications
  18. Complacency, panic, and the value of gentle rule enforcement in addressing pandemics
  19. On The Value of Alert Systems and Gentle Rule Enforcement in Addressing Pandemics
  20. The influence of biased exposure to forgone outcomes
  21. Perceived patterns in decisions from experience and their influence on choice variability and policy diversification: A response to Ashby, Konstantinidis, & Yechiam, 2017
  22. On the impact of experience on probability weighting in decisions under risk.
  23. From anomalies to forecasts: Toward a descriptive model of decisions under risk, under ambiguity, and from experience.
  24. Learning in settings with partial feedback and the wavy recency effect of rare events
  25. Reliance on small samples, the wavy recency effect, and similarity-based learning.