<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Research on Andrea Mauri</title><link>https://www.andreamauri.me/research/</link><description>Recent content in Research on Andrea Mauri</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Andrea Mauri</copyright><atom:link href="https://www.andreamauri.me/research/index.xml" rel="self" type="application/rss+xml"/><item><title>Human-Centric Graph Data Management</title><link>https://www.andreamauri.me/research/graph-repairs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.andreamauri.me/research/graph-repairs/</guid><description>&lt;p&gt;Modern data-intensive applications rely on graph databases, yet graphs frequently contain inconsistencies that violate structural constraints. My work addresses this from a human-centric perspective: rather than fully automated fixes, I develop &lt;strong&gt;interactive repair frameworks&lt;/strong&gt; that keep users in control of the process.&lt;/p&gt;</description></item><item><title>Empathy-Centric Design</title><link>https://www.andreamauri.me/research/empathy-design/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.andreamauri.me/research/empathy-design/</guid><description>&lt;p&gt;Designing technology for societal challenges requires more than functional requirements — it requires understanding the perspectives, experiences, and emotions of the people affected. My work in this area develops &lt;strong&gt;empathy-centric frameworks&lt;/strong&gt; that bridge the gap between end-users and decision-makers.&lt;/p&gt;</description></item><item><title>Crowdsourcing &amp; Human-in-the-Loop</title><link>https://www.andreamauri.me/research/crowdsourcing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.andreamauri.me/research/crowdsourcing/</guid><description>&lt;p&gt;Large-scale data management cannot rely on machines alone. Human judgment is essential for handling ambiguity, ensuring quality, and interpreting domain-specific context. My research develops &lt;strong&gt;human-in-the-loop frameworks&lt;/strong&gt; that integrate crowd contributions intelligently at each stage of the data pipeline.&lt;/p&gt;</description></item></channel></rss>