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Data Science Crash Course: an expert lecture on privacy, security, and network effects.

2 March 2020

Data Science Crash Course: an expert lecture on privacy, security, and network effects.
On 5 February, dr. Rob van Eijk (Future of Privacy Forum) provided an expert lecture on privacy, security, and network effects. The talk was part of a hands-on data science crash course organized by the Leiden Centre of Data Science (LCDS) of Leiden University for I-Interim Rijk.

The LCDS is a network of researchers from different scientific disciplines who use innovative methods to deal with large amounts of data. I-Interim Rijk serves the entire central government within the Dutch federal government and employs over 200 professionals. Seventeen I-Interim Rijk staff members participated in our expert lecture. The participants work at different Dutch Ministries, e.g., the Ministry of Finance, the Ministry of Justice and Security, the Ministry of Economic Affairs, the Ministry of Internal Affairs, and the Ministry of Defense.

The data science crash course covered nine topics in six days. This was the last day in the series.

Data science and data preparation.
FAIR principles.
The social context of big data.
Data mining and text mining.
Pattern recognition and machine learning applications.
Dimension reduction and interoperability.
Social network analysis, visualization, and deployment.
Privacy, security, and network effects.
Legal issues concerning data science.
The lecture started with a primer on fundamental rights in Europe. We briefly touched on the importance of the ruling for the interpretation of fundamental rights, which turned out to be timely. That same morning, the Court of The Hague ruled on the Dutch SyRI case. The ruling was covered by an expert lecture provided by dr. Marlies van Eck in the afternoon. We then continued with the risk-based approach to the rights and freedoms of natural persons in the General Data Protection Regulation 2016/679. Finally, to illustrate network effects, we discussed online advertising (real-time bidding) as a use case.

The participants received a copy of the Future of Privacy’s Privacy Expert’s Guide to Artificial Intelligence and Machine Learning. The AI/ML-guide was much appreciated, as several additional guides were taken along for colleagues who could not participate in the course. You can download the slides of the lecture here.

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