| Description |
1 online resource (21 pages) : illustrations |
| Contents |
Foreword. -- Executive summary. -- The need to prevent nuclear proliferation. -- Assessing the challenges and opportunities of using publicly available information. -- Our approach: offering a window in proliferation activities entity-level trade data. -- The NTI-C4ADS pilot project. -- Methodology. -- Data management and analysis challenges. -- Machine learning and automation amplfy the value of publicly availabe information. -- Simple models save significant time. -- Complex models support discovery. -- Recommendations |
| Summary |
For decades, illicit trade in nuclear materials, equipment, and technologies has undermined global nuclear non-proliferation efforts. Sophisticated actors establish front companies, forge documents, and launder money to obscure proliferation activities, and they too often are able to evade detection -- even as they operate within legal systems of trade, finance, transportation, and communication. They do leave footprints, however, and now, with an increase in the volume and variety of publicly available data, there are new opportunities to discover and expose such activities. When applied to the right forms of publicly available information (PAI), emerging data science methods and advanced analytical tools can expose proliferation activities, and they should be used to serve the global non-proliferation mission to reduce the risk of catastrophic consequences from use of a nuclear weapon |
| Bibliography |
Includes bibliographical references (page 20) |
| Notes |
Online resource; title from PDF cover page (C4ADS, viewed January 25, 2021) |
| Subject |
Nuclear nonproliferation -- Evaluation
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Nuclear weapons -- Procurement -- Evaluation
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| Form |
Electronic book
|
| Author |
Dumbacher, Erin D., author
|
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Stoutland, Page O., author
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Center for Advanced Defense Studies, publisher.
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Nuclear Threat Initiative.
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