Discover the power of longitudinal surrogate frameworks and predictive analytics in A/B testing, revolutionizing how tech companies evaluate product updates for lasting success. Learn to overcome the limitations of short-term experiments and accurately forecast long-term treatment effects.
Tired of expensive, artificial, and ethically questionable human subject experiments? Dive into the world of Smart Agent-Based Modeling (SABM) and see how GPT-4 is changing the game for studying complex business dynamics.
Explore the potential of local priority mechanisms to revolutionize resource allocation. Learn how these tech-driven solutions address inequalities, streamline processes, and improve access to essential services, ensuring fair outcomes for everyone.
Learn how sensitivity analysis can revolutionize your decision-making by identifying hidden risks and opportunities in linear estimators. Make informed choices even when facing uncertainty.
A groundbreaking study reveals hidden biases in ChatGPT's job applicant assessments. Learn how ethnicity and gender influence AI evaluations, and what it means for the future of fair hiring practices.
Tired of inconsistent results in your Stata research? Learn how to use the 'require' command to manage package dependencies, ensuring your work is reproducible across different systems and collaborators.
Explore the potential for AI to revolutionize economic growth. We break down the key arguments, counterarguments, and what it all means for our future.
Explore how a groundbreaking AI-driven approach, the k-modal nonparametric mixed logit model, is transforming travel demand analysis and urban planning by providing a more accurate and nuanced understanding of people's travel decisions.
Can the algorithms that drive online platforms be harnessed to promote competition and fairness? A new study investigates how recommender systems can either intensify or mitigate algorithmic collusion, revealing potential pathways for regulators and platform designers.
Frustrated by impenetrable AI? Discover Forward Marginal Effects (FME), a breakthrough method that unveils how AI models make decisions, boosting trust and understanding.
