2022 Algorithms for Threat Detection and Second Graph Theoretical Methods for Blockchain Data Analysis Workshop

May 23-25, 2022 - George Mason University

The 2022 ATD Annual Workshop and the Second Workshop on Graph Theoretical Methods for Blockchain Data Analysis will be held jointly at George Mason University between May 23 and May 25, 2022.  The workshops will bring together NSF PIs, students and postdocs with government and industry researchers.

The 2022 Algorithms for Modern Power Systems workshop will also be held at George Mason University immediately after, on May 26.  

Registration information

Register for the conference here!

Submit an abstract for an oral or poster presentation here!

Submit your travel support request here! (Graduate students and postdocs)

Key dates

May 5 - Deadline for submitting travel support requests.

May 9 - Notification of travel support decisions

May 13 - Abstract submission deadline

May 14 - Late registration fee starts

May 18 - Program published online


The conference will be held in-person only.  The program includes opportunities for both oral and poster presentations.  For the ATD portion of the program, priority for oral presentations will be given to PIs who received awards in 2020, 2019 and 2021 (in that order), and only one oral presentation per funded project will be allowed.  Contributions that cannot be included in the oral program will be accepted for the poster program.

Conference program

Oral presentation and poster instructions


Oral presentations will be held in George Mason's Innovation Hall, Room 105.  The poster session will be held at Georges in the Johnson Center.  The campus has several restaurants that are within an easy, short walk of Innovation Hall where participants can have lunch during the event.


There is no official conference hotel.  Several hotels are within a five-mile radius of George Mason University.

About the workshops:  

The Algorithms for Threat Detection (ATD) program supports research projects that develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the National Geospatial Intelligence Agency (NGA).

The Workshop on Graph Theoretical Methods for Blockchain Data Analysis workshop will be focused on the recent developments on the foundational statistical and mathematical tools associated with the data structures that arise from the use of distributed secure ledger technologies.  Building on the efforts of the first conference, the second workshop will bring together researchers from a broad range of mathematical and statistical disciplines, from graph theory to computational topology to mathematical statistics, to discuss the open problems in analysis, modeling and inference for this class of data in an open forum. While the goal of the second workshop is focused on the mathematical sciences community, we will also include select researchers in e-crime detection, cryptocurrency risk analysis, integration of private and public blockchains, and other distributed ledger-based applications to calibrate the mathematical scientists on the needs of this rapidly evolving community. 


NSF           NGA