Mathematical Macrobiology: An Unexploited Opportunity in High School Education. - Nina H. Fefferman; Lainie M. Fefferman (BioMath in the Schools, 2005)

Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression. - Eric Lofgren; Nina H. Fefferman; Meena Doshi; Elena N. Naumova (BioSurveillance, 2007)

Revealing effective classifiers through network comparison. - Lazaros K. Gallos; Nina H. Fefferman (CoRR, 2014)

DIAMoND: Distributed Intrusion/Anomaly Monitoring for Nonparametric Detection. - Maciej Korczynski; Ali Hamieh; Jun Ho Huh; Henrik Holm; S. Raj Rajagopalan; Nina H. Fefferman (ICCCN, 2015)

Simple and efficient self-healing strategy for damaged complex networks. - Lazaros K. Gallos; Nina H. Fefferman (CoRR, 2015)

Stopping Amplified DNS DDoS Attacks through Distributed Query Rate Sharing. - Saurabh Verma; Ali Hamieh; Jun Ho Huh; Henrik Holm; Siva Raj Rajagopalan; Maciej Korczynski; Nina H. Fefferman (ARES, 2016)

Hive oversight for network intrusion early warning using DIAMoND: a bee-inspired method for fully distributed cyber defense. - Maciej Korczynski; Ali Hamieh; Jun Ho Huh; Henrik Holm; S. Raj Rajagopalan; Nina H. Fefferman (IEEE Commun. Mag., 2016)

Designing for Massive Engagement in a Tween Community: Participation, Prevention, and Philanthropy in a Virtual Epidemic. - Yasmin B. Kafai; Deborah A. Fields; Michael T. Giang; Nina H. Fefferman; Jen Sun; Daniel Kunka; Jacqueline Wong (IDC, 2017)

Plagues and people: engineering player participation and prevention in a virtual epidemic. - Deborah A. Fields; Yasmin B. Kafai; Michael T. Giang; Nina H. Fefferman; Jacqueline Wong (FDG, 2017)

Anomaly detection through information sharing under different topologies. - Lazaros K. Gallos; Maciej Korczynski; Nina H. Fefferman (EURASIP J. Inf. Secur., 2017)

A Case Study in Tailoring a Bio-Inspired Cyber-Security Algorithm: Designing Anomaly Detection for Multilayer Networks. - Gonzalo P. Suárez; Lazaros K. Gallos; Nina H. Fefferman (IEEE Symposium on Security and Privacy Workshops, 2018)

A Case Study in Tailoring a Bio-InspiredCyber-Security Algorithm: DesigningAnomaly Detection for Multilayer Networks. - Gonzalo P. Suárez; Lazaros K. Gallos; Nina H. Fefferman (J. Cyber Secur. Mobil., 2019)

A guide to choosing and implementing reference models for social network analysis. - Elizabeth A. Hobson; Matthew J. Silk; Nina H. Fefferman; Daniel B. Larremore; Puck Rombach; Saray Shai; Noa Pinter-Wollman (CoRR, 2020)

How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy. - Jing Jiao; Gonzalo P. Suárez; Nina H. Fefferman (PLoS Comput. Biol., 2021)

Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication. - Iacopo Iacopini; Jennifer R. Foote; Nina H. Fefferman; Elizabeth P. Derryberry; Matthew J. Silk (CoRR, 2023)

Assembling ensembling: An adventure in approaches across disciplines. - Amanda Bleichrodt; Lydia Bourouiba; Gerardo Chowell; Eric T. Lofgren; J. Michael Reed; Sadie J. Ryan; Nina H. Fefferman (CoRR, 2024)

Insights into the Structured Coordination Game with Neutral Options through Simulation. - John S. McAlister; Nina H. Fefferman (CoRR, 2024)

DialectDecoder: Human/machine teaming for bird song classification and anomaly detection. - Brittany Story; Patrick Gillespie; Graham Derryberry; Elizabeth P. Derryberry; Nina H. Fefferman; Vasileios Maroulas (Ecol. Informatics, 2024)

Nonlinear Nonlocal Diffusion Equations for the Analysis of Continuous Coordination and Anti-Coordination Type Games. - John S. McAlister; Nina H. Fefferman; Tadele A. Mengesha (CoRR, 2025)