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1{ 2 "id": "https://ancazugo.github.io/research/outreach/2025/05/25/weekly-notes", 3 "title": "2025-05-25 Weekly Notes", 4 "link": "https://ancazugo.github.io/research/outreach/2025/05/25/weekly-notes.html", 5 "updated": "2025-05-25T00:00:00", 6 "published": "2025-05-25T00:00:00", 7 "summary": "For most of last week I attended the Health Impact Assessment workshop organised by the Public Health Modelling Group from the MRC Epidemiology Unit in Cambridge. It was a great in-depth introduction to epidemiological modelling using mostly longitudinal data for health assessment. It is very relevant as the group focuses on the effects of urban features in different health outcomes.", 8 "content": "<p>For most of last week I attended the Health Impact Assessment workshop organised by the <a href=\"https://www.mrc-epid.cam.ac.uk/research/research-areas/public-health-modelling/\">Public Health Modelling</a> Group from the MRC Epidemiology Unit in Cambridge. It was a great in-depth introduction to epidemiological modelling using mostly longitudinal data for health assessment. It is very relevant as the group focuses on the effects of urban features in different health outcomes.</p>\n\n<p>Also, I attended the AI4ER workshop in West Hub where some of my PhD peers presented their work. Worth highlighting is <a href=\"https://orlando-code.github.io/\">Orlando Timmerman’s</a> work in long-term coral suitability, <a href=\"https://www.joshuadimasaka.com/\">Joshua Dimasaka’s</a> work in catastrophe modelling using graph neural networks. And shout-out to Sanjoo Paddea and Gilly Walker for organising an amazing day of networking spaces and lovely talks for all AI4ER and adjacent people.</p>\n\n<p>For my project I mostly worked on two things:</p>\n\n<ul>\n <li>I started labelling nature features on Charles Booth’s maps using <a href=\"https://labelstud.io/\">Label Studio</a>, focusing on individual trees (broadleaf and conifer) and clusters of trees, as well as water bodies. I met with Hendrik Herold to discuss some ideas on what the best approach is to extract all other features, including poverty and building footprints.</li>\n <li>I worked on my presentation with the <a href=\"https://www.sustainabledesign.arct.cam.ac.uk/\">SDG group</a> where I will be presenting what I’ve done in the last couple of weeks and updates on my paper, for which I designed the plot explaining what I had drawn in a <a href=\"https://ancazugo.github.io/research/outreach/2025/04/20/weekly-notes.html\">previous post</a> about Gini coefficient and measuring tree visibility (see below).</li>\n</ul>", 9 "content_type": "html", 10 "author": { 11 "name": "", 12 "email": null, 13 "uri": null 14 }, 15 "categories": [ 16 "research", 17 "outreach" 18 ], 19 "source": "https://ancazugo.github.io/feed.xml" 20}