<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Citizen Science on Camilla Andreozzi</title><link>https://camillandreozzi.github.io/tags/citizen-science/</link><description>Recent content in Citizen Science on Camilla Andreozzi</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Thu, 20 Nov 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://camillandreozzi.github.io/tags/citizen-science/index.xml" rel="self" type="application/rss+xml"/><item><title>A Simple and Robust Multi-Fidelity Data Fusion Method for Effective Modeling of Citizen-Science Air Pollution Data</title><link>https://camillandreozzi.github.io/papers/robust-multifidelity-gp/</link><pubDate>Thu, 20 Nov 2025 00:00:00 +0000</pubDate><guid>https://camillandreozzi.github.io/papers/robust-multifidelity-gp/</guid><description>A robust multi-fidelity Gaussian process that fuses reference air-quality monitors with noisy citizen-science sensors.</description></item></channel></rss>