Pre-Summer talk: Cryptoasset analytics

Connecting the Dots in Cryptoasset Ecosystems

Cryptocurrencies and token systems are well-known types of cryptoassets. They build on blockchain technology and form virtual ecosystems in which different types of actors build and share economic relationships expressed in terms of transactions. Quantitative methods for analyzing those ecosystems are gaining increasing attention for a variety of use cases, ranging from scientific investigations, over market understanding, to compliance and anti-money-laundering investigations. This talk will introduce the basic principles of cryptoasset analytics techniques, give an overview on state-of-the art tools and methods, and highlight upcoming challenges that will deserve deeper attention in near future.

Dr. Bernhard Haslhofer works as a Senior Scientist at the Austrian Institute of Technology's Digital Insight Lab. Previously, he was an EU Marie Curie Fellow at Cornell University Information Science (NY, USA) and a PostDoc at the University of Vienna from where he also received his Ph.D in Computer Science. He also holds master's degrees in Economics and Computer Science. He usually works in multidisciplinary settings to which he contributes methods drawn from fields like Machine Learning, Network Analytics, or Information Retrieval and Text Mining. At the moment, he primarily works on novel methods for analyzing the structure and dynamics of cryptocurrency ecosystems, with a special focus on Post-Bitcoin cryptocurrencies such as Monero or Zcash.