Formalising the Link between Worker and Society in Honey Bee Colonies. - David J. T. Sumpter; David S. Broomhead (MABS, 1998)

Information transfer in moving animal groups. - David J. T. Sumpter; Jérôme Buhl; Dora Biro; Iain D. Couzin (Theory Biosci., 2008)

A Dynamical Approach to Stock Market fluctuations. - Stamatios C. Nicolis; David J. T. Sumpter (Int. J. Bifurc. Chaos, 2011)

Individual Rules for Trail Pattern Formation in Argentine Ants (Linepithema humile). - Andrea Perna; Boris Granovskiy; Simon Garnier; Stamatios C. Nicolis; Marjorie Labédan; Guy Theraulaz; Vincent Fourcassié; David J. T. Sumpter (PLoS Comput. Biol., 2012)

A Bayesian Approach to Modeling Dynamical Systems in the Social Sciences. - Shyam Ranganathan; Viktoria Spaiser; David J. T. Sumpter (SIMULTECH, 2013)

Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection. - Richard P. Mann; Andrea Perna; Daniel Strömbom; Roman Garnett; James E. Herbert-Read; David J. T. Sumpter; Ashley J. W. Ward (PLoS Comput. Biol., 2013)

Symmetry Restoring Bifurcation in Collective Decision-Making. - Natalia Zabzina; Audrey Dussutour; Richard P. Mann; David J. T. Sumpter; Stamatios C. Nicolis (PLoS Comput. Biol., 2014)

Understanding Democracy and Development Traps Using a Data-Driven Approach. - Shyam Ranganathan; Stamatios C. Nicolis; Viktoria Spaiser; David J. T. Sumpter (Big Data, 2015)

Integration of Social Information by Human Groups. - Boris Granovskiy; Jason M. Gold; David J. T. Sumpter; Robert L. Goldstone (Top. Cogn. Sci., 2015)

An experimental study of segregation mechanisms. - Milena Tsvetkova; Olof Nilsson; Camilla Öhman; Lovisa Sumpter; David J. T. Sumpter (EPJ Data Sci., 2016)

Revising the Human Development Sequence Theory Using an Agent-Based Approach and Data. - Viktoria Spaiser; David J. T. Sumpter (J. Artif. Soc. Soc. Simul., 2016)

The Games We Play: Critical Complexity Improves Machine Learning. - Abeba Birhane; David J. T. Sumpter (HHAI, 2022)

The Lost Art of Mathematical Modelling. - Linnéa Gyllingberg; Abeba Birhane; David J. T. Sumpter (CoRR, 2023)

Precision at the indistinguishability threshold: a method for evaluating classification algorithms. - David J. T. Sumpter (CoRR, 2023)

Properties of the 'friend of a friend' model for network generation. - Tiffany Y. Y. Lo; Watson Levens; David J. T. Sumpter (J. Complex Networks, 2024)

A minimal model of cognition based on oscillatory and reinforcement processes. - Linnéa Gyllingberg; Yu Tian; David J. T. Sumpter (CoRR, 2024)

Code for the paper "A minimal model of cognition based on oscillatory and current-based reinforcement processes". - Linnéa Gyllingberg; Yu Tian; David J. T. Sumpter (Zenodo, 2024)

Representing data in words. - Amandine M. Caut; Amy Rouillard; Beimnet Zenebe; Matthias Green; Ágúst Pálmason Morthens; David J. T. Sumpter (CoRR, 2025)

Automated Explanation of Machine Learning Models of Footballing Actions in Words. - Pegah Rahimian; Jernej Flisar; David J. T. Sumpter (CoRR, 2025)