Student Collaboration Invitation
Help Us Develop Predictix.ai!
Do you need to write a thesis or undertake a project? Select one of the available study topics below, conduct your research, and share your findings with us. Your work will directly contribute to teaching Predictix.ai to become a better large language model for economic decision prediction.
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Topics We're Still Waiting For
These research topics are currently available and waiting for dedicated researchers to take them on:
Subjective Expected Utility (Leonard Savage)
Explore subjective probabilities and utilities in decision-making tasks. Evaluate AI ability to mode...
Fast and Frugal Heuristics (Gerd Gigerenzer)
Investigate simple decision rules in time-pressured scenarios. Evaluate AI predictions of heuristic-...
Evolutionary Game Theory (Martin Nowak)
Explore evolution of cooperation and competition strategies in repeated games. Test whether AI can p...
Ambiguity Aversion
Design experiments with ambiguous probabilities. Evaluate AI models' accuracy in predicting ambiguit...
Confirmation Bias in Information Search
Examine selective information gathering in decision tasks. Evaluate AI's ability to predict confirma...
Overconfidence in Risk Assessment
Measure overconfidence levels in probabilistic judgments. Compare AI predictive accuracy across conf...
Prospect Theory (Daniel Kahneman & Amos Tversky)
Study choices under risk and uncertainty by replicating classic prospect theory experiments. Measure decisions, use AI to predict them, and analyze deviations.
Game Theory and Risk Analysis (John von Neumann & Oskar Morgenstern)
Conduct experiments on strategic decision-making in risky games (e.g., Prisoner's Dilemma). Compare human choices to AI predictions.
Subjective Expected Utility (Leonard Savage)
Explore subjective probabilities and utilities in decision-making tasks. Evaluate AI ability to model individual preferences and risk attitudes.
Bounded Rationality and Heuristics (Herbert A. Simon)
Test how people use heuristics under cognitive constraints. Predict decisions with AI and identify heuristic patterns.
Behavioral Economics and Nudging (Richard Thaler)
Design choice architectures involving nudges. Measure impact on decision outcomes; assess AI's prediction accuracy on influenced choices.
Fast and Frugal Heuristics (Gerd Gigerenzer)
Investigate simple decision rules in time-pressured scenarios. Evaluate AI predictions of heuristic-driven choices.
Formal Decision Analysis (Ward Edwards)
Apply formal preference measurement methods (e.g., multi-attribute utility) in experiments. Compare AI predictions of preferences and tradeoffs.
Risk Perception Psychology (Paul Slovic)
Study how people perceive and respond to various risks. Examine AI's ability to capture subjective risk assessments in decision predictions.
Evolutionary Game Theory (Martin Nowak)
Explore evolution of cooperation and competition strategies in repeated games. Test whether AI can predict dynamic shifts in human strategies.
Neuroeconomics and Experimental Decision-Making (Colin Camerer)
Combine decision-making tasks with physiological data where available. Compare AI predictions to observed neural and behavioral patterns.
Loss Aversion and Emotional Influence
Measure choices involving potential losses. Test AI's ability to predict choices influenced by emotional biases.
Ambiguity Aversion
Design experiments with ambiguous probabilities. Evaluate AI models' accuracy in predicting ambiguity-averse choices.
Time Discounting and Intertemporal Choice
Assess preferences for immediate vs. delayed rewards. Predict temporal discounting patterns with AI.
Social Preference and Fairness
Test decisions in ultimatum and dictator games. Compare human fairness-driven choices to AI predictions.
Anchoring Effects in Decision-Making
Experiment with information anchors influencing numeric estimations or valuations. Analyze AI's capture of anchoring biases.
Confirmation Bias in Information Search
Examine selective information gathering in decision tasks. Evaluate AI's ability to predict confirmation-biased choices.
Framing Effects on Risk Choice
Study how alternative presentation of identical information affects decisions. Test AI's prediction of framing-sensitive behavior.
Mental Accounting and Budgeting Behaviors
Investigate how people categorize money and spending decisions. Analyze AI predictions related to mental accounting effects.
Overconfidence in Risk Assessment
Measure overconfidence levels in probabilistic judgments. Compare AI predictive accuracy across confidence categories.
Choice Overload and Decision Fatigue
Assess decision quality or choice deferral under many options. Evaluate AI prediction patterns across choice set sizes.
Want to Explore a Different Topic?
Have your own research idea? Submit your thesis proposal here, and we'll evaluate its potential for advancing the Predictix.ai project.