Managed Expectations Theory: Ex Ante Likelihoods Influence Ex Post Utilities
Daniel Kahneman, often in collaboration with Amos Tversky, developed foundational frameworks for understanding human decision-making.
Research
Why It Worked: Moving from Success to Effectiveness in Conflict Resolution and Peace Negotiations
This concluding article of the special issue “Why It Worked” surveys the literature on success in conflict resolution to understand the gaps and biases around what constitutes “success” in protracted,
House to vote on budget to prevent shutdown
Republicans will face a critical test of their unity when a spending bill that would avoid a partial government shutdown and keep federal agencies funded through September comes up for a vote.
What does the House-passed budget resolution mean?
The House of Representatives narrowly passed a budget resolution last month that included a framework for trillions of dollars of tax cuts and government spending cuts.
Is DOGE Sure It Wants to Fire These People?
Elon Musk and his team are endangering Americans in many ways.
Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology
Background: Effective treatment of bipolar disorder (BD) requires prompt response to mood episodes.
Behaviorally Designed Training Leads to More Diverse Hiring
Many organizations have shown interest in increasing the diversity of their workforces for various reasons.
Don’t look to efficiency for big deficit reductions
Trying to reduce federal budget deficits by increasing the efficiency of federal operations is an appealing idea.
Cross-Sector Collaboration In Cities: Learning Journey Or Blame Game?
The success of cross-sector collaborations (CSCs) in cities is mixed, and important questions remain about what distinguishes effective from ineffective collaborations.
Playing Divide-and-Choose Given Uncertain Preferences
We study the classic divide-and-choose method for equitably allocating divisible goods between two players who are rational, self-interested Bayesian agents.
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