Introduction
This is a hands on tutorial (3h) on cutting-edge cryptoassetanalytics systems and tools for analyzing cryptoasset ecosystems. It targets novice and moderately skilled users with a basic understanding of cryptocurrencies like Bitcoin and Ethereum, and assumes basic coding skills in Python. The tutorial will gently introduce the fundamental concepts behind cryptoassets (0.5h), then focuson analyzing UTXO-model ledgers like Bitcoin (1h) and account-model ledgers like Ethereum (1h), before providing an outlook on emerging trends like Decentralized Finance (0.5h). Throughout the tutorial, attendees will work with open-source tools like GraphSense, ethereum-etl and Jupyter notebooks and work on data associated with real use cases.
Friedhelm Victor is a PhD candidate at Technische Universität Berlin with several years of experience analyzing financial transaction networks in both traditional finance and modern cryptoasset networks. Friedhelm holds a dual master’s degree inComputer Science from Technische Universität Berlin and Korea Advanced Institute of Science and Technology (KAIST). His research interests are network analysis, fraud detection, privacy andanonymity, and his current focus are cryptoasset networks.
Bernhard Haslhofer leads the CryptoFinance research group at the Complexity Science Hub Vienna and works as an external lecturer at the Technical University of Vienna. Bernhard obtained his doctorate from the University of Vienna in Computer Science and also received his master’s degree in Economics and Computer Science. Before joining CSH, he led the data science research field at the AIT Austrian Institute of Technology. He also worked as a PostDoc at Cornell Information Science and as an assistant professor at theUniversity of Vienna. His research focuses on finding and applying quantitative data science methods for gaining new insights from large-scale, connected datasets. Currently, his main research focus is in the field of Cryptoassets Analytics.