Update Summaries-Marcucci.md

_objects/Summaries-Marcucci.md

@@ -34,8 +34,16 @@ date: 2024-10-12
 
 In our course held on the 9th of October 2024 on machine learning and historical media, specifically on the project Impresso, we explored together with Mr. During how this program links data, individuals, and various disciplines to analyze historical newspapers, offering a glimpse into the traditions, values, and everyday experiences of past societies, touching on areas such as clothing, cuisine, and daily habits. Now digitized, they can be efficiently searched through machine learning techniques. During the demo, we explored the Impresso platform to track the frequency of specific terms in old newspapers, using thematic filters, or “lenses”, to visualize word usage across different sections. We compared terms like “Atomkraft” and “Nucléaire”, analyzing their occurrence in various countries over time. Additionally, we were introduced to the concept of “tokens”, small data units such as words, which are used to quantify term frequency. We also discussed OCR’s; a concept I was not familiar with before but often encountered when searching for particular words. Later on, we were divided into pairs for a hands-on activity. Indeed, Océane and I used the “Ngrams” tool to compare both our hometowns “Calmus” and “Bascharage”, finding this interactive method more engaging than passive listening. The Impresso project reminded me of the Luxembourgish site eluxemburgensia, which I find an excellent resource for primary sources and newspapers. In the final session, Mrs. Papastamkou introduced us to the platform GitHub, but the rushed presentation left many confused. Fortunately, a follow-up email provided the necessary clarification, helping us better understand the tool and its setup. In the end, it turned out to be a very interesting and useful platform.
 
+---
+title: Session Summaries by Chiara-marcucci
+abstract: Summary-4
+authors:
+  - Marcucci-0211287606
+date: 18-10-2024
+---
 
-
-
-
+## [StoryMaps], [16-10-2024]
+<!--one to two paragraphs of text summarizing the session-->
+In class on the 16th of October 2024, together with Mrs. Schmid, we were introduced to StoryMaps and learned how to use it through group exploration. My group worked on the project of the Olympic Games, specifically the History of the Olympic Marathon from 1896-2020, where we each explored different periods. It was very exciting to see athletes’ names, birthplaces, race times and paths visually represented on satellite maps. For example, comparing marathon times like 2h20min26sec in 1968 and 2h08min38sec in 2020 showed how the sport evolved. While the maps informative, we notice some limitations like the lack of scale and limited zoo, which made distances somehow hard to grasp. Still, it was fascinating how athletes improved over time and understand their journeys through these visual maps. 
+Another project thar caught my attention was the John Snow Map on the 1854 Cholera Outbreak. Apart from being able to make a good StoryMap of their project, the group showed how John Snow challenged the “miasma theory”, which blamed air for spreading disease. By what I saw, they used different map layers: one showing “Soho during the outbreak”, where 10% of the population died in a week, another highlighting death tolls, and a third showing water pump locations. Also, from what I understood, their spatial analysis revealed that 68% of deaths occurred near the Broadwick Street water pump, which showed that Snow’s theory that water contamination was the real cause of the deaths was correct. To sum it all up, along with our project, made me appreciate the power of StoryMaps in visualizing complex data. I look forward to exploring this tool more in the future.