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Publication	Type	Year
The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods Computational and Mathematical Organization Theory Asmeret Bier Naugle, Adam Russell, Kiran Lakkaraju, Laura Painton Swiler, Stephen Joseph Verzi, Vicente J. Romero	Journal Article – 2022 Journal Article	2022
What Can Simulation Test Beds Teach Us About Social Science? Results of the Ground Truth Program Computational and Mathematical Organization Theory Asmeret Bier Naugle, Daniel Joseph Krofcheck, Christina E. Warrender, Kiran Lakkaraju, Laura Painton Swiler, Stephen Joseph Verzi, Benjamin Freixas Emery, Angela Michelle Murdock, Michael Lewis Bernard, Vicente J. Romero https://www.osti.gov/search/identifier:1870475	Journal Article – 2022 Journal Article	2022
Feedback Density and Causal Complexity of Simulation Model Structure Journal of Simulation Asmeret Bier Naugle, Stephen Joseph Verzi, Kiran Lakkaraju, Laura Painton Swiler, Christina E. Warrender, Michael Lewis Bernard, Vicente J. Romero https://www.osti.gov/search/identifier:1828789	Journal Article – 2021 Journal Article	2021
Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams International System Dynamics Conference Asmeret Bier Naugle, Laura Painton Swiler, Kiran Lakkaraju, Stephen Joseph Verzi, Christina E. Warrender, Michael Lewis Bernard, Vicente J. Romero https://www.osti.gov/search/identifier:1641241	Conference Paper – 2019 Conference Paper	2019
Complexity metrics for Agent Based Models of Social Systems The 20th International Workshop on Multi-Agent-Based Simulation Kiran Lakkaraju, Asmeret Bier Naugle, Stephen Joseph Verzi, Laura Painton Swiler, Michael Livesay, Christina E. Warrender, Michael Lewis Bernard, Vicente J. Romero https://www.osti.gov/search/identifier:1639730	Conference Paper – 2019 Conference Paper	2019
A Multi-tiered Complexity Metric The Ninth International Conference on Complex Systems (ICCS) 2018 Asmeret Bier Naugle, Kiran Lakkaraju, Stephen Joseph Verzi, Laura Painton Swiler, Vicente J. Romero, Michael Lewis Bernard https://www.osti.gov/search/identifier:1570180	Conference Paper – 2018 Conference Paper	2018
A Class of Simple and Effective UQ Methods for Sparse Replicate Data applied to the Cantilever Beam End-to-End UQ Problem AIAA Non-Deterministic Approaches Conference, SciTech 2018 Vicente J. Romero, V. Gregory Weirs https://www.osti.gov/search/identifier:1489719	Conference Paper – 2017 Conference Paper	2017
Evaluation of a Class of Simple and Effective Uncertainty Methods for Sparse Samples of Random Variables and Functions Vicente J. Romero, 2017) Matthew Bonney (Sandia intern departed June, Benjamin B Schroeder, V. Gregory Weirs https://www.osti.gov/search/identifier:1409725	SAND Report – 2017 SAND Report	2017
A Class of Simple and Effective UQ Methods for Sparse Replicate Data applied to the Cantilever Beam End-to-End UQ Problem 20th Non-Deterministic Methods Conference, 2018 AIAA SciTech Forum Vicente J. Romero, V. Gregory Weirs https://www.osti.gov/search/identifier:1510913	Conference Paper – 2017 Conference Paper	2017
A Class of Simple and Effective UQ Methods for Sparse Replicate Data applied to the Cantilever Beam End-to-End UQ Problem AIAA SciTech 2018 Vicente J. Romero, V. Gregory Weirs	Abstract – 2017 Abstract	2017
Simple Effective Conservative Treatment of Uncertainty from Sparse Samples of Random Functions AIAA Journal Vicente J. Romero, Benjamin B Schroeder, James Franklin Dempsey, John R Lewis, Nicole L. Breivik, George Edgar Orient, Bonnie R. Antoun, Justin Winokur, Matthew R. Glickman, John R. Red-Horse https://www.osti.gov/search/identifier:1367209	Journal Article – 2017 Journal Article	2017
Cantilever Beam End-to-End UQ Test Problem and Evaluation Criteria for UQ Methods Performance Assessment 2017 ASME Verification and Validation Symposium Vicente J. Romero, Benjamin B Schroeder, Matthew R. Glickman, Justin Winokur https://www.osti.gov/search/identifier:1456728	Conference Paper – 2017 Conference Paper	2017
Analyst-to-Analyst Variability in Simulation-Based Prediction Matthew R. Glickman, Vicente J. Romero https://www.osti.gov/search/identifier:1343367	SAND Report – 2017 SAND Report	2017
Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications AIAA SciTech 2017 Vicente J. Romero, James Franklin Dempsey, Benjamin B Schroeder, John R Lewis, Nicole L. Breivik, George Edgar Orient, Bonnie R. Antoun, Justin Winokur, Matthew R. Glickman, John R. Red-Horse https://www.osti.gov/search/identifier:1427106	Conference Paper – 2017 Conference Paper	2017
Evaluation of Uncertainty Treatments for Sparse Samples of Random Variables and Functions 2017 ASME Verification and Validation Symposium Vicente J. Romero, Benjamin B Schroeder, John R Lewis, Matthew Bonney, Joshua Grady Mullins, Lauren Hund, Justin Winokur, James Franklin Dempsey, Nicole L. Breivik, George Edgar Orient, Bonnie R. Antoun, Matthew R. Glickman	Abstract – 2017 Abstract	2017
Evaluation of a Simple UQ Approach for Sparse Stress-Strain Curve Data in Solid Mechanics Applications AIAA SciTech 2017 Vicente J. Romero, James Franklin Dempsey, Benjamin B Schroeder, John R Lewis, George Edgar Orient, Nicole L. Breivik, Bonnie R. Antoun, Justin Winokur, Matthew R. Glickman, John R. Red-Horse https://www.osti.gov/search/identifier:1417126	Conference Paper – 2017 Conference Paper	2017
A Survey of Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods (Presentation) Joint Army Navy Nasa Air Force (JANNAF) 11th Modeling and Simulation Subcommittee Meeting Laura Painton Swiler, Vicente J. Romero https://www.osti.gov/search/identifier:1412084	Conference Paper – 2016 Conference Paper	2016
POF-Darts: Geometric Adaptive Sampling for Probability of Failure Journal of Reliability Engineering and System Safety Mohamed Salah Ebeida, Scott A. Mitchell, Laura Painton Swiler, Vicente J. Romero, Ahmad Rushdi https://www.osti.gov/search/identifier:1262234	Journal Article – 2016 Journal Article	2016
Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications 19th AIAA Non-Deterministic Approaches Conference, AIAA SciTech 2017 Vicente J. Romero, James Franklin Dempsey, Benjamin B Schroeder, John R Lewis, Nicole L. Breivik, George Edgar Orient, Bonnie R. Antoun, Justin Winokur, Matthew R. Glickman	Abstract – 2016 Abstract	2016
Some Test Problems and Results in Assessing Methods for Calculating Low Probabilities of Failure 18th AIAA Non-Deterministic Approaches Conference, AIAA SciTech 2016 Vicente J. Romero, Laura Painton Swiler, Mohamed Salah Ebeida, Scott A. Mitchell, Matthew R. Glickman https://www.osti.gov/search/identifier:1339060	Conference Paper – 2016 Conference Paper	2016
Efficient Probability of Failure Calculations for QMU using Computational Geometry LDRD 13-0144 Final Report Scott A. Mitchell, Mohamed Salah Ebeida, Vicente J. Romero, Laura Painton Swiler, Ahmad A. Rushdi, Ahmad Abdelkader https://www.osti.gov/search/identifier:1221522	SAND Report – 2015 SAND Report	2015
JANNAF V&V Guide: A Survey of Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods for Computational Applications JANNAF Validation and Verification (V&V) Guide Laura Painton Swiler, Vicente J. Romero https://www.osti.gov/search/identifier:1214304	Book – 2015 Book	2015
A Set of Test Problems and Results in Assessing Method Performance in Calculating Low Probabilities of Failure 18th AIAA Non-Deterministic Approaches Conference (SciTech 2016) Vicente J. Romero, Laura Painton Swiler, Mohamed Salah Ebeida, Scott A. Mitchell	Abstract – 2015 Abstract	2015
POF-Darts: Geometric Adaptive Sampling for Probability of Failure SIAM Journal on Uncertainty Quantification Mohamed Salah Ebeida, Scott A. Mitchell, Laura Painton Swiler, Vicente J. Romero https://www.osti.gov/search/identifier:1184488	Journal Article – 2014 Journal Article	2014
A Comparison of Methods for Representing Sparsely Sampled Random Quantities Vicente J. Romero, Laura Painton Swiler, Angel Urbina, Josh Mullins https://www.osti.gov/search/identifier:1096268	SAND Report – 2013 SAND Report	2013
Document Title	Type	Year

Results 1–25 of 42

Publications

The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods

What Can Simulation Test Beds Teach Us About Social Science? Results of the Ground Truth Program

Feedback Density and Causal Complexity of Simulation Model Structure

Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams

Complexity metrics for Agent Based Models of Social Systems

A Multi-tiered Complexity Metric

A Class of Simple and Effective UQ Methods for Sparse Replicate Data applied to the Cantilever Beam End-to-End UQ Problem

Evaluation of a Class of Simple and Effective Uncertainty Methods for Sparse Samples of Random Variables and Functions

A Class of Simple and Effective UQ Methods for Sparse Replicate Data applied to the Cantilever Beam End-to-End UQ Problem

A Class of Simple and Effective UQ Methods for Sparse Replicate Data applied to the Cantilever Beam End-to-End UQ Problem

Simple Effective Conservative Treatment of Uncertainty from Sparse Samples of Random Functions

Cantilever Beam End-to-End UQ Test Problem and Evaluation Criteria for UQ Methods Performance Assessment

Analyst-to-Analyst Variability in Simulation-Based Prediction

Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications

Evaluation of Uncertainty Treatments for Sparse Samples of Random Variables and Functions

Evaluation of a Simple UQ Approach for Sparse Stress-Strain Curve Data in Solid Mechanics Applications

A Survey of Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods (Presentation)

POF-Darts: Geometric Adaptive Sampling for Probability of Failure

Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications

Some Test Problems and Results in Assessing Methods for Calculating Low Probabilities of Failure

Efficient Probability of Failure Calculations for QMU using Computational Geometry LDRD 13-0144 Final Report

JANNAF V&V Guide: A Survey of Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods for Computational Applications

A Set of Test Problems and Results in Assessing Method Performance in Calculating Low Probabilities of Failure

POF-Darts: Geometric Adaptive Sampling for Probability of Failure

A Comparison of Methods for Representing Sparsely Sampled Random Quantities