Asmeret Naugle
R&D S&E, Computer Science

R&D S&E, Computer Science
(505) 845-3427
Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185
Biography
Asmeret Naugle leads computational social science and human-AI teaming research at Sandia National Laboratories. She has interest and experience in:
- Human-AI teaming
- Trust and trustworthiness
- Dynamic simulation modeling, including system dynamics and agent based modeling
- Cognitive modeling
- Data science
Asmeret is in the Applied Information Sciences Center at Sandia National Laboratories, where she focuses on computational social science and human-AI teaming for national security applications. Her research has been applied to topics such as nonproliferation, foreign malign influence, geopolitical dynamics, migration, cyber security, and energy systems.
Education
- PhD in Environmental and Natural Resource Sciences, Washington State University
- Certificate in National Security Affairs, Texas A&M University
- MS in Environmental Science, Washington State University
- BA in Mathematics, University of California Santa Cruz
- BA in Environmental Studies, University of California Santa Cruz
Publications
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Krofcheck, D.J., Naugle, A.B., Verzi, S.J., Steinmetz, S.T., & Steinmetz, S.T. (2023). An overview of Foundation models: From Stable Diffusion to chatGPT and beyond [Conference Presenation]. https://doi.org/10.2172/2430808 Publication ID: 126764
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Krofcheck, D.J., Stewart, I., Naugle, A.B., Steinmetz, S.T., Schutte, P.C., Linville, L., Abbott, R.G., Sweitzer, M.D., & Sweitzer, M.D. (2023). Conceptual resilience in foundation models for nonproliferation [Conference Poster]. https://doi.org/10.2172/2431521 Publication ID: 129304
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Doyle, C.L., Naugle, A.B., Krofcheck, D.J., Sweitzer, M.D., Sorensen, A.H., Link, H.E., & Link, H.E. (2023). Predicting action from topic, sentiment, and emotional content of forum posts [Conference Poster]. https://doi.org/10.2172/2431863 Publication ID: 130452
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Naugle, A.B., Krofcheck, D.J., Warrender, C., Lakkaraju, K., Swiler, L.P., Verzi, S.J., Emery, B., Murdock, J., Bernard, M., Romero, V., & Romero, V. (2023). What can simulation test beds teach us about social science? Results of the ground truth program. Computational and Mathematical Organization Theory, 29(1), pp. 242-263. https://doi.org/10.1007/s10588-021-09349-6 Publication ID: 80604
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Naugle, A.B., Verzi, S.J., Lakkaraju, K., Swiler, L.P., Warrender, C., Bernard, M., Romero, V., & Romero, V. (2023). Feedback density and causal complexity of simulation model structure. Journal of Simulation, 17(3), pp. 229-239. https://doi.org/10.1080/17477778.2021.1982653 Publication ID: 75723
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Naugle, A.B., Rothganger, F., Verzi, S.J., Doyle, C.L., & Doyle, C.L. (2022). Conflicting Information and Compliance With COVID-19 Behavioral Recommendations. https://doi.org/10.2172/1894426 Publication ID: 80392
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Lakkaraju, K., Sweitzer, M.D., Naugle, A.B., Wiryadinata, S., Leonard, J., & Leonard, J. (2022). A Simulation Test Bed for Evaluating Data Analytic Predictors of Disinformation Flow [Conference Presenation]. https://doi.org/10.2172/2004709 Publication ID: 117668
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Naugle, A.B., Swiler, L.P., Lakkaraju, K., Verzi, S.J., Warrender, C., Romero, V., & Romero, V. (2022). Graph-Based Similarity Metrics for Comparing Simulation Model Causal Structures. https://doi.org/10.2172/1884926 Publication ID: 80095
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Naugle, A.B., Sorensen, A.H., Rothganger, F., Verzi, S.J., Doyle, C., Krofcheck, D.J., & Krofcheck, D.J. (2022). Trust in Influence Dynamics: Using Reinforcement Learning to Evaluate Defense Strategies [Conference Poster]. https://doi.org/10.2172/2003961 Publication ID: 115116
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Lakkaraju, K., Naugle, A.B., Sweitzer, M.D., Wiryadinata, S., Lehrer, G., & Lehrer, G. (2022). Using Social Simulations to Train, Test, and Evaluate Models for Social Prediction [Conference Poster]. https://doi.org/10.2172/2003983 Publication ID: 115196
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Lakkaraju, K., Naugle, A.B., Sweitzer, M.D., & Sweitzer, M.D. (2022). Using social simulations to train, test and evaluate ML models for social prediction [Conference Presenation]. https://doi.org/10.2172/2003550 Publication ID: 113516
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Naugle, A.B., Russell, A., Lakkaraju, K., Swiler, L.P., Verzi, S.J., Romero, V., & Romero, V. (2022). The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods.. Computational and Mathematical Organization Theory, 29(1), pp. 1-16. https://doi.org/10.1007/s10588-021-09346-9 Publication ID: 80622
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Naugle, A.B., Doyle, C.L., Sweitzer, M.D., Rothganger, F., Verzi, S.J., Lakkaraju, K., Kittinger, R., Bernard, M., Chen, Y., Loyal, J., Mueen, A., & Mueen, A. (2021). Emergent Recursive Multiscale Interaction in Complex Systems. https://doi.org/10.2172/1821796 Publication ID: 75722
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Loyal, J., Naugle, A.B., Chen, Y., & Chen, Y. (2021). An Eigenmodel for Dynamic Multilayer Networks [Presentation]. https://www.osti.gov/biblio/1881683 Publication ID: 79773
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Doyle, C.L., Gunda, T., Naugle, A.B., & Naugle, A.B. (2021). Hierarchical effects facilitate spreading processes on synthetic and empirical multilayer networks. PLoS ONE, 16(6 June). https://doi.org/10.1371/journal.pone.0252266 Publication ID: 78840
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Naugle, A.B., Backus, G.A., Tidwell, V.C., Keller, E., Villa, D.L., & Villa, D.L. (2021). A Regional Model of Climate Change and Human Migration. Research Anthology on Environmental and Societal Impacts of Climate Change, 1(1), pp. 449-471. https://doi.org/10.4018/IJSDA.2019010101 Publication ID: 63959
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Rothganger, F., Naugle, A.B., Verzi, S.J., & Verzi, S.J. (2021). Behavioral Feedback in Disease Dynamics [Presentation]. https://www.osti.gov/biblio/1843095 Publication ID: 75171
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Doyle, C.L., Naugle, A.B., Bernard, M., Lakkaraju, K., Kittinger, R., Sweitzer, M.D., Rothganger, F., & Rothganger, F. (2020). Group formation theory at multiple scales [Conference Presenation]. https://doi.org/10.2172/1831039 Publication ID: 71369
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Naugle, A.B. (2020). DARPA Ground Truth Program Overview [Conference Presenation]. https://doi.org/10.2172/1882033 Publication ID: 71347
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Naugle, A.B. (2020). DARPA Ground TruthProgram Results [Presentation]. https://www.osti.gov/biblio/1812594 Publication ID: 74424