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Included the full name of Timid Robot and changed markdown link formatting
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content/blog/entries/2026-30-03- the-end-of-an-era/contents.lr

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body:
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Quantifying the Commons: The end of an era.
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## Quantifying the Commons: The end of an era.
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Dear gentle reader,
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Looking back, I was quite nervous on my first meeting with Timid Robot and
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Sara. I did not quite understand the automation part of the project, how long
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the scripts ran? Why? I was fascinated by the whole process of the system, after
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further explanation by Timid I was really impressed by the design thinking. A
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further explanation by Timid Robot I was really impressed by the design thinking. A
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lot of details and critical thinking were put into implementing the system. Big
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kudos to the project lead and previous contributors, I am in love with the
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foundation being put in place prior to my contribution. It is a firm one and it
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on my data structure and algorithm skills, I had to cater for test cases,
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limitations and risk. Risk in the sense that the system is exposed to change
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because the data is live and dynamic from the API. This is what I did in the
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first half of my internship here (first half blog post)
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[https://opensource.creativecommons.org/blog/entries/2026-01-22-My-outreachy-journey/].
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first half of my internship here [first half blog post]
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(https://opensource.creativecommons.org/blog/entries/2026-01-22-My-outreachy-journey/).
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I would be focusing on the second half of the internship in this blog post. A
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big part of the project is ensuring the integrity of data is in sync with the
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efficiency of the automation process.
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### I worked on completing the automation process for the Smithsonian quarterly
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report:
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### I worked on completing the the process and report stages for the Smithsonian script:
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Smithsonian is one of the largest public institutions in the United States. It
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has a total of 38 units/data sources like museums, zoos and libraries as of when
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I worked on it. We derived insights on the usage of CC0 license across the media
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moment to handle the sudden unit code, so that our data is quite predictable and
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updated.
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### I also worked on completing the automation process for the Arxiv quarterly
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report:
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### I also worked on completing the process and report stages for the Arxiv script:
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Arxiv is a curated research-sharing platform with 5 million monthly active users
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and hosts 2.6 million research papers. We derived quite interesting insights
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easier to debug and it presents a detailed workflow for future contributors to
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understand what has been done previously. It literally boils down to how you
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name your variable or how you use it in a function. I also learnt the importance
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of asking why. Timid encouraged me to always question assumptions and understand
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of asking why. Timid Robot encouraged me to always question assumptions and understand
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the reasoning behind decisions. This was the best thing to do because it made
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the whole internship fun and puzzling. Things became naturally logical and I
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could connect the dots quite easily.

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