After over 10 years of research, process mining has shown to be a rapidly growing discipline. This is testified by an established research community, publications in top conference and journals, over 30 commercial process mining vendors, and the thousands of organizations already applying process mining.
After the success of the first edition in Aachen, the conference will be organized by University of Padua. University of Padua is the second oldest university in Italy, founded in 1222 by scholars and professors after leaving Bologna. This makes the second oldest university in Italy and the fifth oldest university still in activity in the world. As per 2017, the university counts around 60000 students. According to the The Times Higher Education World University Rankings 2019, Padua is the second best university in Italy, among those with more than 1000 students.
Thought leaders working on process mining will be present. The conference is supported by the leading vendors in process mining. However, the conference is neutral and provides insights that are tool independent. It will feature a diversified program, including exciting scientific talks, tool demonstrations, contests, and awards. Workshops on emerging topics and an industry day of excellent speakers will complement the program.
Due to the exceptional circumstances of the COVID-19 outbreak, ICPM 2020 will be a fully virtual conference, with no travel involved. However, the entire program, including the co-located events, will be retained, and will not change. With the spirit of keeping the entire conference as interactive as possible, presentations will be given live using webinars. The presentations will also be broadcasted, and also available after the conference for off-line viewing. Attendees will be able to ask questions, which will be answered at the end of each presentation. When multiple sessions run in parallel (e.g., workshops), the conference will feature parallel virtual rooms.
This makes ICPM 2020 “the virtual place to be” for anyone working on process mining.