<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data ecosystem mapping on phiz</title><link>https://phiz.ca/tags/data-ecosystem-mapping/</link><description>Recent content in Data ecosystem mapping on phiz</description><generator>Hugo</generator><language>en</language><copyright>Powered by [Wellington-Dufferin-Guelph Public Health](https://wdgpublichealth.ca/)</copyright><lastBuildDate>Tue, 06 Jan 2026 00:00:00 -0500</lastBuildDate><atom:link href="https://phiz.ca/tags/data-ecosystem-mapping/index.xml" rel="self" type="application/rss+xml"/><item><title>Complex Systems in Practice: Modernizing Public Health Data Flows</title><link>https://phiz.ca/posts/2026-01-complex-systems/</link><pubDate>Tue, 06 Jan 2026 00:00:00 -0500</pubDate><guid>https://phiz.ca/posts/2026-01-complex-systems/</guid><description>&lt;blockquote>
&lt;p>Complexity starts when causality breaks down.&lt;/p>
&lt;p>— &lt;cite>Nigel Goldenfeld&lt;sup id="fnref:1">&lt;a href="#fn:1" class="footnote-ref" role="doc-noteref">1&lt;/a>&lt;/sup>&lt;/cite>&lt;/p>&lt;/blockquote>
&lt;p>The first step in any innovation project is understanding where the friction lies. Where does the work slow down? Where do risks emerge? And who bears the burden of inefficient systems?&lt;/p>
&lt;p>In public health, many of these pain points are embedded in our data flows. Manual processes, fragmented systems, and unclear ownership are common features of legacy infrastructure. While often invisible to those outside the system, these challenges directly affect our ability to deliver timely, effective, and equitable public health services.&lt;/p></description></item></channel></rss>