economics
PulseAugur coverage of economics — every cluster mentioning economics across labs, papers, and developer communities, ranked by signal.
6 day(s) with sentiment data
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New Neural SDE Model Enhances Financial Time-Series Generation
Researchers have developed a new Conditional Neural Stochastic Differential Equation (Neural SDE) architecture designed for generating realistic financial time-series data. This approach decomposes the target time-serie…
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Agentic AI expands across industries, prompting innovation and regulatory focus · 10 sources tracked
Agentic AI is seeing broad adoption and development across various sectors, from optimizing streaming operations with ViewLift to financial and healthcare applications by UAE's AIREV. The technology is also being explor…
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AI ethics debate: Should one train AI for statistical projects despite ethical concerns?
An individual transitioning from teaching economics to data analysis is seeking guidance on whether it is morally acceptable to take on gig work that involves training AI by analyzing its statistical output. While the i…
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New methods improve Bayesian inference for agent-based models
Researchers have developed new methods for Bayesian inference in agent-based models (ABMs), which are commonly used in economics and social sciences. The first paper introduces a framework called sequential neural poste…
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Conflict, Innovation, and Societal Division Explored
This item discusses the complex relationship between conflict, innovation, and societal division, posing a question about whether division is an inherent cost of progress. It touches upon global geopolitics, advancement…
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AI's Global North/South Political Economy Explored in Bilbao
An academic is scheduled to deliver a keynote speech at the University of the Basque Country in Bilbao, focusing on the political economy of Artificial Intelligence within the context of Global North and Global South dy…
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AI becomes default tool for theoretical science, expanding beyond math
Artificial intelligence is increasingly becoming the primary tool for theoretical science, moving beyond mathematics to encompass fields like economics and high-energy physics. Researchers suggest AI may soon be the def…
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AI poised to reshape economic predictions and policy
The integration of artificial intelligence into economics is expected to significantly alter the field. AI's capabilities in data analysis and prediction could lead to more accurate economic modeling and forecasting. Th…
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Expert-verified AI study materials boost university student learning
A study published on arXiv investigated the impact of expert-verified AI-generated study materials on university students' learning outcomes. The research found that providing students with AI-generated content, such as…
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New framework integrates social science theories for better fake news detection
Researchers have developed a new computational framework that integrates theories from social sciences, psychology, and economics to improve the detection and explanation of fake news. This theory-informed approach tran…
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AI reportedly impacting UK graduate job prospects in tech and economics
Artificial intelligence is reportedly impacting the job market for recent graduates in the UK, particularly affecting those in computer science and economics. Data suggests a decline in demand for these graduates in wel…
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AI may be impacting UK computer science and economics graduate job prospects
New data from the UK suggests that Artificial Intelligence may be negatively impacting job prospects for recent computer science and economics graduates. A report based on the 2027 Guardian University Guide indicates a …
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Student navigates tech education amid global upheaval
The author is pursuing computer science and IT education, expressing a desire to have started sooner. They acknowledge the current global challenges, including political shifts, the influence of 'techbro-garchs,' and po…
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AI adoption's economic paradox: cost-cutting could harm consumer demand
An article discusses the economic implications of widespread AI adoption, drawing parallels to historical economic theories. It suggests that while individual firms may benefit from replacing workers with AI to cut cost…
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Understanding P-Values: A Guide to Statistical Significance
This article explains the concept of p-values, which are crucial for understanding statistical significance in research. It uses a courtroom analogy where the null hypothesis represents innocence and the alternative hyp…
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New paper axiomatizes Boltzmann rationality in reinforcement learning
A new paper introduces an axiomatic characterization for Boltzmann rationality, a common model of stochastic choice in reinforcement learning. The research distinguishes between randomness in choice and environmental ch…
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Economists develop theoretical framework for pre-trained embeddings
Researchers have developed a theoretical framework for using pre-trained deep learning embeddings in econometrics, addressing challenges where models are trained on different datasets or tasks. The paper provides condit…
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X (Twitter) User Guide: Curated Lists and Blocking AI Slop
The author provides an updated guide on how to effectively use X (formerly Twitter) in 2026, emphasizing the continued importance of curated lists for managing the feed. Due to X's increasingly hostile interface for chr…
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Foundation models coordinate in multi-agent system for enhanced reasoning · arXiv research
Researchers have developed a multi-agent framework to enhance the reasoning capabilities of foundation models by coordinating diverse models. This system involves solver models generating initial drafts, critic agents r…
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New benchmark BehaviorBench assesses AI for behavioral science tasks
Researchers have introduced BehaviorBench, a new benchmark designed to evaluate how well foundation models perform on tasks relevant to behavioral science, such as psychology and sociology. The benchmark assesses models…