Tag Archives: Open-source intelligence

25Oct/26

How Sewage Tomatoes Beat the AI Web

October 25, 2026TechnologyAcademic disciplines, Articles, Artificial intelligence, Bus stop, Cartography, Computational neuroscience, Computing, Contents, Cybernetics, Data, DEEPSEEK, Digital technology, Ed Jefferson, Everything Framework, Geographic data and information, Geotagging, Germany, Global Positioning System, his Nicolas Cage, Intermodal passenger transport, Internet privacy, Journey planner, Kingston, London, Los Angeles, Los Angeles County Metropolitan Transportation Authority, Matt Muir, Mimi Jiang, NextDoor, Nicolas Cage, Open-source intelligence, OpenStreetMap, Public transport, Reddit, Route planning software, Social information processing, Sustainable transport, Technology, Transport, Transport for London, United Kingdom, Wikipedia, World Wide Webadmin

Mapping the Neighborhood: Reimagining Wikipedia as a Proximity-Based Experience

Sat Oct. 24, 2026 /Mpelembe Media/ — Local Wikipedia is an independent, unofficial web application developed by journalist, software developer, and data specialist Ed Jefferson that turns Wikipedia into a proximity-focused, ambient spatial encyclopedia. Conceived during lockdown and released in late 2026, the application operates on the core thesis of displaying geotagged Wikipedia articles located within a thirty-minute walk from the user. Users can set their location using native browser geolocation or manual text queries such as town names, landmarks, and UK postal codes. To balance visual clutter and system performance across varying geographic densities, the platform automatically adjusts its operational scope, expanding up to six miles in low-density rural areas or capping results at five hundred items in dense urban centers. Designed with client-side privacy in mind, positioning coordinates remain strictly within temporary local browser memory, and exported links are sanitized to ensure physical location data is never shared. Continue reading →

25Sep/24

1.2 Million More Homes in England Will Be at Risk of Subsidence by 2050

September 25, 2024FinanceAnalytics, Legal research, LexisNexis, LexisNexis Risk Solutions, Open-source intelligence, RELX, Subsidence, United Kingdomadmin

Analysis of British Geological Survey data from LexisNexis® Risk Solutions, the data, advanced analytics and technology provider to the insurance market, reveals that with the current climate trajectory, approximately 1.2 million more homes in England are at risk of subsidence issues by 2050ii. This is a 27% increase to the estimated 4.5 million households already at subsidence risk today. Continue reading

13Jan/23

2022 wasn’t the year of Cleopatra – so why was she the most viewed page on Wikipedia?

January 13, 2023Science.google, Alphabet Inc., Android, Bryant, Cleopatra, Creative Commons, Cristiano Ronaldo, Dublin, Elon Musk, Google Search, Jeffrey Dahmer, Johnny Depp, Julius Caesar, Murder, Open-source intelligence, Philip, SHUTTERSTOCK, Social information processing, Taha Yasseri, Ukraine, United States, Websites, Wikipedia, World Wide Webadmin

Taha Yasseri, University College Dublin

At the end of every year, I gather statistics on the most viewed Wikipedia articles of the year. This helps me, a computational social scientist, understand what topics captured the most attention and gives me a chance to reflect on the major public events of the year. I try to use data to determine how the public (and more specifically here, English-language Wikipedia readers) will collectively remember the past year.

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