WITS2019 Keynotes

WITS 2019: December 18-20, 2019, Munich, Germany

Keynote Speakers

Opening Keynote by Paul Milgrom, Stanford University
at the BISE/WISE/WITS Reception, December 18, 2019 at 6pm, Nymphenburg Palace

Beyond the Vickrey Auction: Practical Design for a High-Stakes Auction.
In 2017, the US completed a successful reallocation of some $20 billion worth of radio spectrum from broadcast television to mobile broadband uses while also reassigning the continuing TV stations to new channels. The combination of incentive complexity, computational complexity, and budgetary constraints made the design problem particularly challenging. Solving it required new economic theory and new computational algorithms that hold lessons for future complex market designs. This lecture explains the economics of the reallocation.

Industrial Keynote by Markus Heimann, Director Digital & Data Competence Center,
Telefónica Germany GmbH & Co. OHG, December 19, 2019, H4 Hotel


Academic Keynote by Wil van der Aalst, RWTH Aachen, Germany, December 20, 2019, H4 Hotel

Process Mining In Today’s Platforms Economy: Opportunities and Challenges
Process mining is rapidly becoming a standard way to analyze performance and compliance problems based on event data. Currently, there are more than 30 commercial process-mining tools based on the research by prof. Van der Aalst and his team. The primary enabler for process mining is the increasing digitization of society and business. Tech companies such as Uber, Airbnb, Amazon, Booking, and Alibaba and were able to grow extremely fast due to the digital platforms they provide. Smart homes, production facilities, and energy networks also build on platforms recording the actual behavior or people and machines. All digital platforms have in common that they record event data at an unprecedented level. This allows for all forms of process mining (process discovery, conformance checking, prediction, etc.). Particularly interesting are comparative process mining techniques, i.e., comparing variants of the same process for different groups of customers, periods, locations, etc. However, there are also challenges related to confidentiality and other aspects of responsible data science. In his talk, Wil van der Aalst (“the godfather of process mining”) reflects on the capabilities and limitations of today’s process mining tools and the opportunities and challenges provided by digital platforms.