Justin Lane

Justin Lane

DPhil Student

St Peter's College

Thesis title: The evolution of doctrinal religions: Using semantic network analysis and computational models to examine the evolutionary dynamics of large religions

Research interests: Social stability, computer modeling, social transitions, consensus, social network analysis, Artificial Intelligence, big data, conflict, social identity, simulation

Other research interests: demographics, behavioral economics, finance, archaeology, biblical studies

Publications:

Lane, J.E. (In Press). “Can we hack social systems? Prediction of religious extremism is a Hilbert Problem for the social sciences.” Religion, Brain, Behavior

Lane, J.E. (In Press). “Narrative and Database Analysis.” The International Encyclopedia of Anthropology. Hoboken, NJ: Wiley & Sons.

Lane, J.E. (2016) “Progress in the Evolutionary Study of Religion: A Review of ‘Contemporary Evolutionary Theories Of Culture and the Study of Religion’.” 3(2).

Lane, J.E. (2016). “Big Data and Anthropology: Concerns for data collection in a new research context”.  Special Issue on The Ethics of Anthropology in Emergencies. Journal for the Anthropological Society of Oxford, 3(1), 74-88.

Jong, J., Whitehouse, H., Kavanagh, C., Lane, J.E. (2016). "Shared Negative Experiences Lead to Identity Fusion Via Personal Reflection". PLoS One. DOI: 10.1371/journal.pone.0145611

Lane, J.E. (2015). “Rethinking Complexity and Culture: Cognitive Science as Explanatory Framework for Cultural Phenomena”. Journal of Cognition and Culture, 15(5), 435-441.

Lane, J.E. (2015). “Semantic network mapping of religious materials.” Journal of Cognitive Processing. Special edition “Complexity in Brain and Cognition” edited by Cees van Leeuwen. 

Lane, J.E. (2014). “Method, Theory, and Multi-Agent Artificial Intelligence: Creating computer models of complex social interaction.” Journal for the Cognitive Science of Religion, 1(2), 161-180.

Email: justin.lane@spc.ox.ac.uk
URL: oxford.academia.edu/JustinELane 

List of site pages