American Community Survey
PulseAugur coverage of American Community Survey — every cluster mentioning American Community Survey across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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US Census Bureau faces backlash over proposed race question changes · 1 source tracked
The U.S. Census Bureau is facing significant public opposition to its proposal to stop asking about race and ethnicity on the 2030 Census. While the Bureau suggests this change could improve response rates and leverage …
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Generative models audited for simulated patrol disparities in Baltimore and Chicago
Researchers have developed a reproducible method to audit simulated patrol detection using generative adversarial networks (GANs) and probabilistic models. The study, which analyzed historical crime data from Baltimore …
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New multicalibration method reduces bias in AI model prevalence estimation
Researchers have developed a new method called multicalibration to address biases in model-based prevalence estimation, particularly when dealing with covariate shift. This technique ensures that measurement error rates…
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LLMs generate realistic travel diaries, outperforming traditional methods in purpose and mode prediction
Researchers have developed a novel method using Large Language Models (LLMs) to generate individual travel diaries for transportation modeling. This approach synthesizes personas from open-source data like the American …
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Geospatial foundation models capture health-relevant place dimensions
A new research paper explores the use of geospatial foundation models to capture health-relevant dimensions of place that go beyond traditional social risk indices. The study found that these models, trained on satellit…
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Explainable AI identifies broadband adoption disparities across US tracts
Researchers have developed an explainable machine learning framework to identify disparities in broadband adoption across the United States. The model, trained on socioeconomic and demographic data, achieved strong pred…
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LLMs Show Place-Based Stigma in Urban Safety Judgments
A new study published on arXiv investigates how large language models (LLMs) judge the safety of urban neighborhoods. The research found that LLMs rely heavily on neighborhood names, which carry demographic stereotypes,…
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New method GHCP enhances group-based prediction sets
Researchers have developed Generalized Hierarchical Conformal Prediction (GHCP), a new method for creating prediction sets when data is collected in groups. Standard hierarchical conformal prediction struggles when a fe…
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New econometrics method tackles nonlinear AI exposure measurements
Researchers have developed a new statistical method for identifying latent regressors when observed measurements are nonlinear functions of the underlying variable. This technique is particularly useful in fields like e…
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Senior poverty rises in US suburbs due to service gaps
An increasing number of senior citizens are facing poverty in American suburbs, a trend exacerbated by the lack of public transportation and essential services common in urban areas. Analysis of U.S. Census data indicat…
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Researchers develop graph construction for imperative programs using neural methods
Researchers have developed a pipeline to convert imperative programs and their annotations into typed, attributed graphs. This process combines abstract syntax tree parsing with semantic embeddings from models like Sent…
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LLMs show bias in education, fact-checking, and prevalence estimation
Researchers have developed new computational metrics to evaluate the pedagogical alignment of educational NLP systems, revealing that students often use these tools for answer extraction rather than sustained learning. …