Describe

• Glenski M.F., E.M. Ayton, S. Soni, E.G. Saldanha, D.L. Arendt, B. Quiter, and R. Cooper, et al. 2022. "Learning Global Proliferation Expertise Evolution using AI-Driven Analytics and Public Information." IEEE Transactions on Nuclear Science. 
• Glenski M.F., E.G. Saldanha, S. Soni, E.M. Ayton, and S. Volkova. 02/23/2021. "Extracting Dynamic Proliferation Expertise and Capability Representations from Heterogenous Multilingual Open-Source Data Streams." Abstract submitted to NNSA Workshop on Next-Gen AI for Proliferation Detection: Domain Aware Methods, Online, United States.

Predict

• Horawalavithana Y.S., E.M. Ayton, A.A. Usenko, S. Sharma, J. Eshun, R.J. Cosbey, and M.F. Glenski, et al. 2022. "EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs." In Graph Learning Benchmarks, The ACM Web Conference 2022.

Prescribe

• Glenski M.F., and S. Volkova. 2021. "Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community." In EMNLP 2021 Workshop on Causal Inference & NLP.
• Cottam J.A., M.F. Glenski, Z.H. Shaw, R.S. Rabello, A.J. Golding, S. Volkova, and D.L. Arendt. 2021. "Graph Comparison for Causal Discovery." In ACM Intelligent User Interfaces (IUI 2021).
• Guo G., M.F. Glenski, Z.H. Shaw, E.G. Saldanha, A. Endert, S. Volkova, and D.L. Arendt. 2021. "VAINE: Visualization and AI for Natural Experiments." In IEEE VIS 2021.