Codetown
Codetown ::: a software developer's community
Public Safety Data Hackathon
Looking for something interesting to do this weekend? Well, if you're in South Florida, there's a hackathon Saturday that sounds like a great way to learn some new tools and use some interesting data.
It's billed as the Public Safety Data Hackathon & FLPD Open Data Open House. The folks suggest looking at data visualization tools like Infogr.Am and TimelineJS among others.
Here's the description from their website:
"The Fort Lauderdale Police Department is launching a portal featuring data on 911 Calls, Arrests, Incidents, Traffic Accidents, Traffic Citations and Employee Demographics. This hackathon and open data "open house" encourages journalists, software developers, students of public policy and community members to team up and create prototypes that utilize FLPD data for trend visualization, digital storytelling, web or mobile self-service apps. The top two proof-of-concept prototypes will receive modest rewards of a $100 Amazon Gift Card for 1st place, and a $75 Amazon Gift Card for 2nd place proposals.
The prototype presentations will commence at 5 pm. Working in teams is strongly encouraged, but individual prototypes will also be considered. Usage of open source platforms and tools will be commended. Journalists and reporters are invited to use FLPD data in conjunction with tools such as Infogr.Am, TimelineJS, Google Charts and other solutions which can interactively incorporate data. For questions and details, email Assia Alexandrova - aalexandrova@fortlauderdale.gov"
If you can't go, I bet the winning apps will be online somewhere.
Comment
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Article: Building Hierarchical Agentic RAG Systems: Multi-Modal Reasoning with Autonomous Error Recovery
In this article, the author explores how hierarchical agentic RAG systems coordinate specialized workers through structured orchestration to improve accuracy, reliability, and explainability in complex enterprise analytics workflows. The article uses Protocol-H as a to show how deterministic routing, reflective retry, and modality-aware reasoning support safer multi-source query execution.
By Abhijit UbaleAspire 13.2 Released with Expanded CLI, TypeScript AppHost Preview, and Dashboard Improvements
Aspire 13.2 brings expanded CLI with detached mode and process management, TypeScript AppHost support in preview, dashboard telemetry export and import, stable Docker Compose publishing, Microsoft Foundry integration, Azure Virtual Network support, and a major VS Code extension update. The release also includes several breaking changes to configuration files and resource commands.
By Almir VukGoogle Brings MCP Support to Colab, Enabling Cloud Execution for AI Agents
Google has released the open-source Colab MCP Server, enabling AI agents to directly interact with Google Colab through the Model Context Protocol (MCP). The project is designed to bridge local agent workflows with cloud-based execution, allowing developers to offload compute-intensive or potentially unsafe tasks from their own machines.
By Robert KrzaczyńskiTailwind CSS 4.2 Ships Webpack Plugin, New Palettes and Logical Property Utilities
Tailwind CSS version 4.2.0, released on February 18, 2026, includes a webpack plugin for streamlined integration and four new color palettes. It expands logical property utilities and improves recompilation speed by 3.8x. This update is particularly beneficial for teams on existing projects and those developing multilingual applications.
By Daniel CurtisCloudflare and ETH Zurich Outline Approaches for AI-Driven Cache Optimization
Cloudflare and ETH Zurich highlight how AI-driven crawler traffic challenges traditional caching in CDNs and databases. They propose AI-aware strategies including separate cache tiers, adaptive algorithms, and pay-per-crawl models to balance performance for human users and AI services while maintaining cache efficiency and system stability.
By Leela Kumili
© 2026 Created by Michael Levin.
Powered by
You need to be a member of Codetown to add comments!
Join Codetown