Therefore, we cannot finish this course without also talking about research ethics and about some of the old and new lines computational social scientists have to keep in mind. Since an important part of this data is about ourselves, using algorithms in order to learn more about ourselves naturally leads to ethical questions. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. In theory, this provides unprecedented opportunities to understand and shape society. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence.
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