Nonlinear Patterns in Urban Crime: Hotspots, Bifurcations, and Suppression. - Martin B. Short; Andrea L. Bertozzi; P. Jeffrey Brantingham (SIAM J. Appl. Dyn. Syst., 2010)

Nonlinear Dynamics of Crime and Violence in Urban Settings. - Maria Fonoberova; Vladimir A. Fonoberov; Igor Mezic; Jadranka Mezic; P. Jeffrey Brantingham (J. Artif. Soc. Soc. Simul., 2012)

Modeling Crime Diffusion and Crime Suppression on Transportation Networks: An Initial Report. - Chao Zhang 049; Albert Xin Jiang; Martin B. Short; P. Jeffrey Brantingham; Milind Tambe (AAAI Fall Symposia, 2013)

Latent Point Process Models for Spatial-Temporal Networks - Yoon-Sik Cho; Aram Galstyan; P. Jeffrey Brantingham; George E. Tita (CoRR, 2013)

Community Detection Using Spectral Clustering on Sparse Geosocial Data. - Yves van Gennip; Blake Hunter; Raymond Ahn; Peter Elliott; Kyle Luh; Megan Halvorson; Shannon Reid; Matthew Valasik; James Wo; George E. Tita; Andrea L. Bertozzi; P. Jeffrey Brantingham (SIAM J. Appl. Math., 2013)

Towards a game theoretic approach for defending against crime diffusion. - Chao Zhang 049; Albert Xin Jiang; Martin B. Short; P. Jeffrey Brantingham; Milind Tambe (AAMAS, 2014)

Defending Against Opportunistic Criminals: New Game-Theoretic Frameworks and Algorithms. - Chao Zhang 049; Albert Xin Jiang; Martin B. Short; P. Jeffrey Brantingham; Milind Tambe (GameSec, 2014)

Crime Topic Modeling. - Da Kuang; P. Jeffrey Brantingham; Andrea L. Bertozzi (CoRR, 2017)

Deep Learning for Real Time Crime Forecasting. - Bao Wang 001; Duo Zhang; Duanhao Zhang; P. Jeffrey Brantingham; Andrea L. Bertozzi (CoRR, 2017)

Deep Learning for Real-Time Crime Forecasting and its Ternarization. - Bao Wang 001; Penghang Yin; Andrea L. Bertozzi; P. Jeffrey Brantingham; Stanley J. Osher; Jack Xin (CoRR, 2017)

Partially Generative Neural Networks for Gang Crime Classification with Partial Information. - Sungyong Seo; Hau Chan; P. Jeffrey Brantingham; Jorja Leap; Phebe Vayanos; Milind Tambe; Yan Liu 002 (AIES, 2018)

Privacy Preserving, Crowd Sourced Crime Hawkes Processes. - George O. Mohler; P. Jeffrey Brantingham (SocialSens@IoTDI, 2018)

A Penalized Likelihood Method for Balancing Accuracy and Fairness in Predictive Policing. - George O. Mohler; Rajeev R. Raje; Jeremy G. Carter; Matthew Valasik; P. Jeffrey Brantingham (SMC, 2018)

Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. - Bao Wang 001; Xiyang Luo; Fangbo Zhang; Baichuan Yuan; Andrea L. Bertozzi; P. Jeffrey Brantingham (CoRR, 2018)

Mobile Game Theory with Street Gangs. - Sarah Cooney; Wendy Gomez; Kai Wang 040; Jorja Leap; P. Jeffrey Brantingham; Milind Tambe (PKDD/ECML Workshops (1), 2019)

Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction. - Baichuan Yuan; Hao Li; Andrea L. Bertozzi; P. Jeffrey Brantingham; Mason A. Porter (SIAM J. Math. Data Sci., 2019)

Computing Equilibria in Binary Networked Public Goods Games. - Sixie Yu; Kai Zhou 001; P. Jeffrey Brantingham; Yevgeniy Vorobeychik (AAAI, 2020)

Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. - Mariam Alaverdian; William Gilroy; Veronica Kirgios; Xia Li; Carolina Matuk; Daniel McKenzie; Tachin Ruangkriengsin; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2020)

Analyzing Effectiveness of Gang Interventions using Koopman Operator Theory. - Sian Wen; Andy Chen; Tanishq Bhatia; Nicholas Liskij; David Hyde 001; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2020)

Emotion Classification and Textual Clustering Techniques for Gang Intervention Data. - Ruofei Wu; Chenxin Yang; David Hyde 001; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2020)

Building knowledge graphs of homicide investigation chronologies. - Ritika Pandey; P. Jeffrey Brantingham; Craig D. Uchida; George O. Mohler (ICDM (Workshops), 2020)

Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. - Hao Sha; Mohammad Al Hasan; George O. Mohler; P. Jeffrey Brantingham (ICWSM Workshops, 2020)

An Analysis of COVID-19 Knowledge Graph Construction and Applications. - Dominic Flocco; Bryce Palmer-Toy; Ruixiao Wang 001; Hongyu Zhu; Rishi Sonthalia; Junyuan Lin; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2021)

Structural Stability of a Family of Group Formation Games. - Chenlan Wang; Mehrdad Moharrami; Kun Jin; David Kempe 001; P. Jeffrey Brantingham; Mingyan Liu (CDC, 2021)

Mapping Moral Valence of Tweets Following The Killing of George Floyd. - J. Hunter Priniski; Negar Mokhberian; Bahareh Harandizadeh; Fred Morstatter; Kristina Lerman; Hongjing Lu; P. Jeffrey Brantingham (ICWSM Workshops, 2021)

Knowledge Graphs of the QAnon Twitter Network. - Clay Adams; Malvina Bozhidarova; James Chen; Andrew Gao; Zhengtong Liu; J. Hunter Priniski; Junyuan Lin; Rishi Sonthalia; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE Big Data, 2022)

Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth. - Marc Andrew Choi; Siyu Huang; Hengyuan Qi; Marco Scialanga; Emerson McMullen; Axel Sanchez Moreno; Yifei Lou; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE Big Data, 2022)

ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. - Xiusi Chen; Jyun-Yu Jiang; Kun Jin; Yichao Zhou 001; Mingyan Liu; P. Jeffrey Brantingham; Wei Wang 010 (CIKM, 2022)

Learning binary multi-scale games on networks. - Sixie Yu; P. Jeffrey Brantingham; Matthew Valasik; Yevgeniy Vorobeychik (UAI, 2022)

Measuring Online Emotional Reactions to Events. - Siyi Guo; Zihao He; Ashwin Rao; Eugene Jang; Yuanfeixue Nan; Fred Morstatter; P. Jeffrey Brantingham; Kristina Lerman (ASONAM, 2023)

Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. - Malvina Bozhidarova; Jonathn Chang; Aaishah Ale-rasool; Yuxiang Liu; Chongyao Ma; Andrea L. Bertozzi; P. Jeffrey Brantingham; Junyuan Lin; Sanjukta Krishnagopal (IEEE Big Data, 2023)

Intentional Youth Development Activities and Peer Effects in a Gang Prevention Program. - Haoran Jia; Haoyu Li; Xinyue Li; Xiaoxian Shen; Yichen Wang; Zichun Liao; Andrea L. Bertozzi; P. Jeffrey Brantingham; Jona Lelmi (IEEE Big Data, 2023)

Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption. - Isaac Manring; James H. Hill; George O. Mohler; P. Jeffrey Brantingham; Thomas Williams; Bruce White (DSAA, 2023)

STAR: Boosting Low-Resource Event Extraction by Structure-to-Text Data Generation with Large Language Models. - Mingyu Derek Ma; Xiaoxuan Wang; Po-Nien Kung; P. Jeffrey Brantingham; Nanyun Peng 001; Wei Wang 010 (CoRR, 2023)

Professional Basketball Player Behavior Synthesis via Planning with Diffusion. - Xiusi Chen; Wei-Yao Wang; Ziniu Hu; Curtis Chou; Lam Hoang; Kun Jin; Mingyan Liu; P. Jeffrey Brantingham; Wei Wang 010 (CoRR, 2023)

Measuring Online Emotional Reactions to Offline Events. - Siyi Guo; Zihao He; Ashwin Rao; Eugene Jang; Yuanfeixue Nan; Fred Morstatter; P. Jeffrey Brantingham; Kristina Lerman (CoRR, 2023)

Rivalries, reputation, retaliation, and repetition: Testing plausible mechanisms for the contagion of violence between street gangs using relational event models. - Jason Gravel; Matthew Valasik; Joris Mulder; Roger Th. A. J. Leenders; Carter T. Butts; P. Jeffrey Brantingham; George E. Tita (Netw. Sci., 2023)

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models. - Mingyu Derek Ma; Xiaoxuan Wang; Po-Nien Kung; P. Jeffrey Brantingham; Nanyun Peng 001; Wei Wang 010 (AAAI, 2024)

Improving Event Definition Following For Zero-Shot Event Detection. - Zefan Cai; Po-Nien Kung; Ashima Suvarna; Mingyu Derek Ma; Hritik Bansal; Baobao Chang; P. Jeffrey Brantingham; Wei Wang 010; Nanyun Peng 001 (ACL (1), 2024)

PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion. - Xiusi Chen; Wei-Yao Wang; Ziniu Hu; David Reynoso; Kun Jin; Mingyan Liu; P. Jeffrey Brantingham; Wei Wang 010 (CIKM, 2024)

The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape. - Siyi Guo; Zihao He; Ashwin Rao; Fred Morstatter; P. Jeffrey Brantingham; Kristina Lerman (CoRR, 2024)

GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling. - Hritik Bansal; Po-Nien Kung; P. Jeffrey Brantingham; Kai-Wei Chang; Nanyun Peng 001 (CoRR, 2024)

Online network topology shapes personal narratives and hashtag generation. - J. Hunter Priniski; Bryce Linford; Sai Krishna; Fred Morstatter; P. Jeffrey Brantingham; Hongjing Lu (CoRR, 2024)

Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models. - Xinyi Leng; Jason Liang; Jack Mauro; Xu Wang; Andrea L. Bertozzi; James Chapman 007; Junyuan Lin; Bohan Chen; Chenchen Ye 001; Temple Daniel; P. Jeffrey Brantingham (CoRR, 2024)

Optimal policy for control of epidemics with constrained time intervals and region-based interactions. - Xia Li; Andrea L. Bertozzi; P. Jeffrey Brantingham; Yevgeniy Vorobeychik (Networks Heterog. Media, 2024)

Structural Stability of a Family of Spatial Group Formation Games. - Chenlan Wang; Mehrdad Moharrami; Kun Jin; David Kempe 001; P. Jeffrey Brantingham; Mingyan Liu (IEEE Trans. Netw. Sci. Eng., 2024)

Modelling the spillover from online engagement to offline protest: stochastic dynamics and mean-field approximations on networks. - Moyi Tian; P. Jeffrey Brantingham; Nancy Rodríguez (CoRR, 2025)