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Title: Open Source Information Analysis to Support IAEA Complementary Access Activities

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Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
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Conference: Presented at: INMM 58th Annual Meeting, Indian Wells, CA, United States, Jul 16 - Jul 20, 2017
Country of Publication:
United States

Citation Formats

Feldman, Y, Reed, J, Dupuy, G, Stern, W, and Kips, R. Open Source Information Analysis to Support IAEA Complementary Access Activities. United States: N. p., 2017. Web.
Feldman, Y, Reed, J, Dupuy, G, Stern, W, & Kips, R. Open Source Information Analysis to Support IAEA Complementary Access Activities. United States.
Feldman, Y, Reed, J, Dupuy, G, Stern, W, and Kips, R. Wed . "Open Source Information Analysis to Support IAEA Complementary Access Activities". United States. doi:.
title = {Open Source Information Analysis to Support IAEA Complementary Access Activities},
author = {Feldman, Y and Reed, J and Dupuy, G and Stern, W and Kips, R},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed May 31 00:00:00 EDT 2017},
month = {Wed May 31 00:00:00 EDT 2017}

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  • In 2008 a joint team from Los Alamos National Laboratory (LANL) and Brookhaven National Laboratory (BNL) consisting of specialists in training of IAEA inspectors in the use of complementary access activities formulated a training program to prepare the U.S. Doe laboratories for the entry into force of the Additional Protocol. As a major part of the support of the activity, LANL summer interns provided open source information analysis to the LANL-BNL mock inspection team. They were a part of the Next Generation Safeguards Initiative's (NGSI) summer intern program aimed at producing the next generation of safeguards specialists. This paper describesmore » how they used open source information to 'backstop' the LANL-BNL team's effort to construct meaningful Additional Protocol Complementary Access training scenarios for each of the three DOE laboratories, Lawrence Livermore National Laboratory, Idaho National Laboratory, and Oak Ridge National Laboratory.« less
  • Pacific Northwest National Laboratory has spent several years researching, developing, and validating large Bayesian network models to support integration of open source data sets for nuclear proliferation research. Our current work focuses on generating a set of interrelated models for multi-source assessment of nuclear programs, as opposed to a single comprehensive model. By using this approach, we can break down the models to cover logical sub-problems that can utilize different expertise and data sources. This approach allows researchers to utilize the models individually or in combination to detect and characterize a nuclear program and identify data gaps. The models operatemore » at various levels of granularity, covering a combination of state-level assessments with more detailed models of site or facility characteristics. This paper will describe the current open source-driven, nuclear nonproliferation models under development, the pros and cons of the analytical approach, and areas for additional research.« less
  • One of the United States Support Program's (USSP) priorities for 2008 is to support the International Atomic Energy Agency's (IAEA) development of an integrated and efficient safeguards information infrastructure, including reliable and maintainable information systems, and effective tools and resources to collect and analyze safeguards-relevant information. The USSP has provided funding in support of this priority for the ISIS Re-engineering Project (IRP), and for human resources support to the design and definition of the enhanced information analysis architecture project (nVision). Assistance for several other information technology efforts is provided. This paper will report on the various ongoing support measures undertakenmore » by the USSP to support the IAEA's information technology enhancements and will provide some insights into activities that the USSP may support in the future.« less