On this page I share some (external) resources I found useful along the way, to study and to do research. Feel free to suggest other materials!

To study:

Are You Studying Math All Wrong?

In high school I studied ancient Greek and Latin, and I was told I was "good". So when later on I transitioned to quantitative subjects, I adopted the same study method. But this time I struggled! Was I suddenly a "bad" student? No, I was using the wrong approach. It took me a while to figure out what was happening, and how to improve. Luckily, you can adapt your study right away just by reading Chapter 2 of Kevin Houston's: "How to think like a mathematician"  

Learning Machine Learning By Yourself (at $=0)? 

Coursera is an online platform where you can find several courses (like EdX), and audit them for free (NOTE: you only need to pay if you want to get a certificate, so look for the "audit" button in the fineprint). I recommend the Machine Learning courses 1/2/3 by Andrew NG (founder of Coursera and inspiring person. Check out also his other company, In 2021, the ML course was updated and all the material is now in Python (previously in Matlab) and exercises come on Jupiter Notebooks. 

For research:

How to Legally Scrape Data for Research  (updated legal advice as of: Aug 2023)

Video: how new DSA’s provisions allow research to study social media platforms  (uploaded 27 Nov 2023)

"The Digital Services Act (DSA) presents the most ambitious horizontal regulation of online platforms to date. It is likely to set global standards for platform regulation due to the EU’s market size and the corresponding Brussels Effect. In the area of platform research, it will have a global effect as soon as it becomes applicable in early 2024, by placing far-reaching transparency obligations on online platforms. In its conception, the European legislators have placed great faith in a vibrant civil society and academic community to contribute to a healthy platform ecosystem. Not only does the Digital Services Act give civil society legal standing to represent the interests of platform users, but it also requires online platforms of any size to explain their content moderation decisions and publish those explanations in an openly accessible database, inspired by the Berkman Klein Center’s Lumen database of notice and action requests. In addition, a new research data access regime will allow international researchers to request information from very large online platforms such as AliExpress, Amazon, Facebook, TikTok or the Apple and Google app stores that is necessary for research into systemic risks posed by those platforms, in areas such as fundamental rights, dissemination of illegal content, electoral discourse, public health or hate speech." (Text from the video description)