“Green Data Science” for Process Mining

37:07Recorded on 10 June 2016 at TU Eindhoven

Wil van der Aalst(TU Eindhoven, Netherlands)

With great power comes great responsibility. Without taking proper care, the results of a data analysis could negatively impact citizens, patients, customers and employees.

Synopsis

Prof. Wil van der Aalst from Eindhoven University of Technology is the founding father of process mining.

As we have seen in the previous talks, data science, and specifically process mining, can create enormous value. But with great power comes great responsibility. Without taking proper care, the results of a data analysis could negatively impact citizens, patients, customers and employees. This often creates resistance towards these kinds of technologies (for example, laws that forbid to use data in a certain way).

As a data science professional, it is our responsibility to be aware of these new challenges. For example, systematic discrimination based on data, invasion of privacy, non-transparent life-changing decisions, and inaccurate conclusions may lead to new forms of “pollution”. “Green Data Science” is a new data science area that enables individuals, organizations, and society to reap the benefits from the widespread availability of data while ensuring fairness, confidentiality, accuracy, and transparency.

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