Cyber and Data Sciences: Documents Available Online

For more information on current research projects, please visit the Cyber and Data Sciences Research Area. The documents below are alphabetized by title.

2022

• Exploring the Civil-Military Divide over Artificial Intelligence

  James Ryseff, Eric Landree, Noah Johnson, Bonnie Ghosh-Dastidar, Max Izenberg, Sydne J. Newberry, Christopher Ferris, Melissa A. Bradley

• Extremist Use of Online Spaces

  Heather J. Williams, Alexandra T. Evans

• Giving Drug Policy Decisionmakers the Data They Need

  Bryce Pardo, Beau Kilmer

• The Globalization of Remote Work: Will Digital Offshoring Make Waves in the U.S. Labor Market?

  Tobias Sytsma

• How Different Sampling Methods Paint Vastly Different Pictures of Recidivism, and Why It Matters for Policy

  Nidhi Kalra, Brian G. Vegetabile, Shawn D. Bushway, Greg Baumann

• How Extremism Operates Online: A Primer

  Alexandra T. Evans, Heather J. Williams

• How the U.S. Air Force Can Incorporate New Data Technologies into Its Talent Management System: Framework and Use Cases for Technology-Enabled Talent Management

  David Schulker, Matthew Walsh, Nelson Lim, Ajay K. Kochhar

• Identifying Critical IT Products and Services

  Sasha Romanosky, John Bordeaux, Michael J. D. Vermeer, Jonathan W. Welburn, Aaron Strong, Zev Winkelman

• Labelling initiatives, codes of conduct and other self-regulatory mechanisms for artificial intelligence applications: From principles to practice and considerations for the future

  Camilla d'Angelo, Isabel Flanagan, Immaculate Dadiso Motsi-Omoijiade, Mann Virdee, Salil Gunashekar

• Leveraging Machine Learning for Operation Assessment

  Daniel Egel, Ryan Andrew Brown, Linda Robinson, Mary Kate Adgie, Jasmin Léveillé, Luke J. Matthews

• Leveraging Technology to Support Prisoner Reentry

  Joe Russo, Michael J. D. Vermeer, Dulani Woods, Brian A. Jackson

• Looking for Lies: An Exploratory Analysis for Automated Detection of Deception

  Marek N. Posard, Christian Johnson, Julia L. Melin, Emily Ellinger, Hilary Reininger

• Machine Learning in Public Policy: The Perils and the Promise of Interpretability

  Evan D. Peet, Brian G. Vegetabile, Matthew Cefalu, Joseph D. Pane, Cheryl L. Damberg

• Managing Response to Significant Cyber Incidents: Comparing Event Life Cycles and Incident Response Across Cyber and Non-Cyber Events

  Quentin E. Hodgson, Aaron Clark-Ginsberg, Zachary Haldeman, Andrew Lauland, Ian Mitch

• Many Hands in the Cookie Jar: Case Studies in Response Options to Cyber Incidents Affecting U.S. Government Networks and Implications for Future Response

  Quentin E. Hodgson, Yuliya Shokh, Jonathan Balk

• National Guard Youth ChalleNGe: Program Progress in 2020–2021

  Jennie W. Wenger, Louay Constant, Linda Cottrell, Sy Doan, Daniel Hicks, Jenna W. Kramer, Kata Mihaly, Peter Nguyen, Thomas E. Trail, Stephani L. Wrabel, et al.

• Operational Feasibility of Adversarial Attacks Against Artificial Intelligence

  Li Ang Zhang, Gavin S. Hartnett, Jair Aguirre, Andrew J. Lohn, Inez Khan, Marissa Herron, Caolionn O'Connell

• Permanent Supportive Housing in Los Angeles County: A Map-Based Tool

  Sarah B. Hunter, Kelsey O'Hollaren, Christopher E. Maerzluft, Jason M. Ward, Jonah Kushner, Sean McKenna

• Planning for Significant Cyber Incidents: An Introduction for Decisionmakers

  Brodi Kotila, Quentin E. Hodgson, Benjamin Boudreaux, Ian Mitch, Aaron Clark-Ginsberg, Sale Lilly, Kristin J. Leuschner, Tom Wingfield

• Public Health and Soft Power: The Republic of Korea's Initial COVID-19 Response and Its Implications for Health Diplomacy

  Jennifer Bouey, Lynn Hu, Sohaela Amiri, Rafiq Dossani

• Pulse-Check: Exploration of Early COVID-19 Pandemic Health Care and Public Health Responses in Select Middle East Nations

  Hamad Al-Ibrahim, Nasma Berri, Emily Hoch, Nazia Wolters, Kristin J. Leuschner, Mahshid Abir

• Relative Contractor Risks: A Data-Analytic Approach to Early Identification

  Philip S. Anton, William Shelton, James Ryseff, Stephen B. Joplin, Megan McKernan, Chad J. R. Ohlandt, Samantha Cohen

• Risk-Informed Analysis of Transportation Worker Identification Credential Reader Requirements

  Joseph C. Chang, James V. Marrone, David Metz, Sean Colbert-Kelly, Matthew A. DeNardo, Keith Gierlack, Chelsea Kolb, Ryan Bauer, Devon Hill, Kristin J. Leuschner

• Roadmap of Scalable Analytic Methods

  Osonde A. Osoba, Carter C. Price, Dave Baiocchi, Michelle Bongard, Karen Lee, Margaret Chamberlin

• Russian Disinformation Efforts on Social Media

  Elina Treyger, Joe Cheravitch, Raphael S. Cohen

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