Foundations for Blockchain Data Analytics: October 6-7, 2019

** Attendance for this workshop is by invitation only **

Deadline is September 5, 2019


This event will be held at SAMSI, Research Triangle Park, NC.

SAMSI is in close proximity to major roads in Research Triangle Park. SAMSI is most readily accessible from Durham by the Durham Freeway (NC 147) — Exit 7 and/or NC-54 by way of I-40 East/West and is located in the Research Commons complex (building 4501).

Heading west on T. W. Alexander from the Durham Freeway (Route 147), it is the third lefthand entrance into the complex. Park in the first lot you see, in front of building 4501—there is a red sign saying MEMA on the top of the building. SAMSI is on the third floor.


This decade has been marked with the rise of Blockchain based technologies. At its core, Blockchain is a distributed public ledger that stores transactions between two parties without requiring a trusted central authority. On a Blockchain, two unacquainted parties can create an unmodifiable transaction that is permanently recorded on the ledger to be seen by the public. Many applications, ranging from cryptocurrencies to food supply chain management, which demand provenance and decentralization, are already having a positive impact on society and allowing poorer countries to partake in the global economy. As these applications proliferate, so does the complexity and volume of data stored by Blockchains. Analyzing this data has emerged as an important research topic, already leading to methodological advancements in statistics, computer and information sciences.

The modeling of Blockchain data is a new area with little to no precompetitive research and working groups. There are many areas of mathematics and statistics which have great potential in advancing Blockchain applications, ranging from graph theory, topological data analysis, random matrix theory and probabilistic graphical modeling. Equally, there are several open problems which must be addressed before Blockchain becomes more mainstream and gains favorability with governmental regulations. Modeling the effect of transaction costs on the long-term stability of Bitcoin adoption, identifying more energy efficient and scalable mining mechanisms which avoid excessive computation, and determining how to identify criminal activity are just a few of these problems. Their solution requires an interdisciplinary approach and the value of this workshop is in bringing relevant experts together to solve many of these challenge with novel mathematical and statistical modeling approaches.

The SAMSI Blockchain Analytics workshop shall bring together researchers from statistics, data and computer science with experts in economics, social science, finance and operational research, with an ultimate goal of advancing mathematical and algorithmic methodology for blockchain analytics. This three-day workshop shall begin with a half-day tutorial providing an introduction to the main concepts behind blockchain analytics including distributed ledger technology, graph analysis, fintech, supply chain analysis and environmental management. The end of the first day and second day shall feature talks that highlight recent research in this area including monetary circuit theory, fraud detection, transaction cost analysis and market-microstructure. The workshop also aims to bring a diverse body of attendees and to attract students, postdoctoral fellows and researchers from traditionally underrepresented groups in STEM to the field of blockchain data analytics.

** NOTE: Planning for this event is ongoing. This page will be revised as more updates are provided. **

** Notice of Consent **

SAMSI values the proprietary and intellectual property of our participants. The materials presented at our various workshops and programs are in high demand by event participants and the applied mathematics and statistics community that comprise our audience. Therefore, we encourage all of our invited speakers to share their materials, as appropriate, in order to pass along the valuable research that is being done in your field of study and is a focus of this event. In addition, unless SAMSI is give written approval from our speakers we ARE NOT authorized to share the materials presented at this event.

Please click HERE to complete a SAMSI Consent form for this event. SAMSI appreciates your time and willingness to share this valuable content with others and we hope you enjoy this event!

If you are presenting and would like to send your slides ahead of this event or you have any other questions or concerns about our consent policy, please contact us at:

Confirmed speakers for this event include:

Schedule and Supporting Media

Printed Schedule

Sunday, October 6, 2019
SAMSI, Research Triangle Park, NC

Time Description Speaker Slides
8:30am Registration
8:45-9:00am Opening Remarks Matthew Dixon, llinois Institute of Technology
Yulia Gel, University of Texas, Dallas
Cuneyt Akcora, University of Manitoba-Canada
Murat Kantarcioglu, University of Texas, Dallas
9:00-9:35am Towards a New Financial System Alex Lipton, MIT
9:35-10:10am A Theory of Fintech Steve Kou, Boston University
10:10-10:40am BREAK
10:40-11:15am An Economic Analysis of the Bitcoin Payment System Ciamac Moallemi, Columbia University
11:15-11:40am Disclosure in the world of cryptocurrency Sarit Markovich, Northwestern University

11:40am-1:00pm LUNCH
1:00-1:35pm Cryptocurrency and blockchain analysis — Complexity and Data Science perspective Nino Antulov-Fantulin, ETH Zurich
1:35-2:10pm ChainNet: Learning on Blockchain Graphs with Topological Features Cuneyt Akcora, University of Manitoba-Canada
2:10-2:25pm BREAK
2:25-3:00pm Topological Recognition of Critical Transitions in Time Series of Cryptocurrencies Pablo Roldan Gonzalez, Yeshiva University
3:00-3:35pm Dissecting Blockchain Price Analytics: What We Learn from the Geometry of Ethereum Umar Islambekov, Bowling Green State University
3:35-3:50pm BREAK
3:50-4:25pm Real World Adventures at a Cryptocurrency Exchange Anita Nikolich, Illinois Institute of Technology
4:25-5:00pm Predicting Blockchain Platform dynamics with Deep learning Vadim Sokolov, George Mason University
5:00-7:00pm Poster Session and Reception

Monday, October 7, 2019
SAMSI, Research Triangle Park, NC

Time Description Speaker Slides
9:00-9:35am BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain Murat Kantarcioglu, University of Texas, Dallas
9:35-10:10am Remote Presentation: Threat Detection on Blockchain Danny Huang, Princeton University
10:10-10:40am BREAK
10:40-11:40am Panel Discussion: Blockchain Data Analytics: Research Horizons Alex Lipton, MIT
Murat Kantarcioglu, University of Texas, Dallas
11:40am-1:00pm LUNCH
1:00-1:35pm Entrepreneurial Incentives and the Role of Initial Coin Offerings Rod Garratt, University of California, Santa Barbara
1:35-2:10pm Modeling Cryptocurrency Markets with Transaction Aware Agents Matthew Dixon, llinois Institute of Technology
2:10-2:25pm BREAK
2:25-3:00pm InfraTech: Blockchain-Based Financing Solutions for Cyber-Physical Infrastructure Systems Peter Adriaens, University of Michigan
3:00-3:35pm QuTrack: Model Life Cycle Management for AI and ML models using a Blockchain approach Srikanth Krishnamurthy, Northeastern University
3:35-3:45pm BREAK
3:45-4:15pm Machine Learning in/for Blockchain: Future and Challenges Hong Wang, N.C. State University
4:15-4:50pm The Future of Cryptocurrencies & Blockchain Research Dimitrios Koutmos, Worcester Polytechnic Institute
4:50-5:00pm Closing Remarks and Adjourn

Questions: email