PJ Lamberson
PJ Lamberson

Senior Lecturer of Management & Organizations

Print Overview

Professor Lamberson is a Senior Lecturer in the Management and Organizations (MORS) Department and the Associate Director of the Northwestern Institute on Complex Systems — one of the leading institutes for network research in the world. He is a globally recognized expert on the networked economy, social media, big data, crowdsourcing, and open innovation. PJ has degrees in mathematics from The University of Chicago and Columbia University and was a Professor at MIT for three years before joining the Kellogg faculty. He has published research in Mathematics, Ecology, Epidemiology, Transportation, Genetics, Political Science, Network Science, Economics, and Management. PJ is also an award winning teacher and the creator of the course Social Dynamics and Network Analytics (Social-DNA), which he teaches in the Kellogg MBA and executive MBA programs in Evanston, Chicago, Miami, and Tel Aviv. 

Areas of Expertise
Behavioral Economics
Computational Economics
Consumer Decision-Making
Economic Models
Economic Theory
Group Decision-Making
Information Economics

Print Vita
Ph.D., 2006, Mathematics, Columbia University
M.Phil, 2005, Mathematics, Columbia University
M.A., 2003, Mathematics, Columbia University
B.A, 2001, Mathematics, University of Chicago, Honors in the College and Honors in Mathematics

Academic Positions
Senior Lecturer of Management & Organizations, Kellogg School of Management, Northwestern University, 2011-present
Senior Lecturer, Sloan School of Management, MIT, 2010-2011
Visiting Assistant Professor, Sloan School of Management, MIT , 2008-2010
Postdoctoral Research Fellow, Center for the Study of Complex Systems, University of Michigan, 2006-2008

Grants and Awards
Faculty Impact Award, Kellogg
Faculty Impact Award, Kellogg
Kellogg Chairs' Core Course Teaching Award
Faculty Impact Award, 2013
Chair's Core Course Teaching Award, 2011-2012

Editorial Positions
Associate Editor, Journal of Consumer Psychology, 2012-Present
Editorial Review Board, Frontier in Emotion Science, 2012-Present
Associate Editor, Association for Consumer Research, 2011-Present
Editorial Review Board, Journal of Retailing, 2011-Present
Editorial Review Board, Journal of Marketing Research, 2010-Present
Editorial Review Board, Journal of Consumer Research, 2009-Present
Ad-hoc Reviewer, Management Science
Ad-hoc Reviewer, BE Journals in Theoretical Economics
Ad-hoc Reviewer, Computational and Mathematical Organization Theory
Ad-hoc Reviewer, Environment and Planning B

Print Research
Research Interests
Social dynamics, social influence, complex systems, networks, diffusion

Lamberson, P.J., L. R. Dugas, R Durazo, A Luke and D. A. Shoham. 2013. Leveraging social influence to address overweight and obesity using agent-based models: the role of adolescent social networks. Social Science & Medicine. 125: 203-215.
Lamberson, P.J. and Scott E. Page. 2012. Tipping Points. Quarterly Journal of Political Science. 7: 175-208.
Lamberson, P.J. and Scott E. Page. 2012. The Effect of Feedback Variability on Success in Markets with Positive Feedbacks. Economics Letters. 114: 259-261.
Lamberson, P.J. and Scott E. Page. 2012. Optimal Forecasting Groups. Management Science. 58: 791-804.
Shoham, D. A., L Tong, P.J. Lamberson, A. H. Auchincloss, J Zhang, L. R. Dugas, J. S. Kaufman and R. S. Cooper. 2012. An Actor-based Model of Adolescent Body Size, Screen Time, and Physical Activity. PLOS One. 7(6): e39795.
Lamberson, P.J.. 2011. Linking Network Structure and Diffusion through Stochastic Dominance. Connections. 31(1)
Lamberson, P.J.. 2010. Social Learning in Social Networks. B.E. Journal of Theoretical Economics. 10(1): Article 36.
Lamberson, P.J.. 2010. A Typology of Mechanisms that Generate Clustering in Networks. American Journal of Epidemiology.(171): Suppl 11.
Lamberson, P.J.. 2009. The Milnor Fiber Conjecture and Iterated Branched Cyclic Covers. American Mathematical Society. 9(361): 4653—4681.
Lamberson, P.J.. 2008. The Diffusion of Hybrid Electric Vehicles.
Wildhaber, Mark L. and P.J. Lamberson. 2004. Importance of the Habitat Choice Behavior Assumed when Modeling the Effects of Food and Temperature on Fish Populations. Ecological Modelling. 4(175): 395—409.
Wildhaber, Mark L., P.J. Lamberson and David L. Galat. 2003. A Comparison of Measures of Riverbed Form for Evaluating Distributions of Benthic Fishes. North American Journal of Fisheries Management. 23: 543—557.
Lamberson, William R., P.J. Lamberson and Laura L. Melton. 2002. A Relationship-based Algorithm for Identifying Genetically Diverse Subpopulations. Proceedings of the 7th World Congress on Genetics Applied to Livestock Production. 28: 24-26.
Wildhaber, Mark L., JoAnne E. Whitaker, Ann L Allert, Daniel W. Mulhern, P.J. Lamberson and Kenneth L. Powell. 2000. Ictalurid Populations in Relation to the Presence of a Main-stem Reservoir in a Midwestern Warmwater Stream with Emphasis on the Threatened Neosho Madtom. Transactions of the American Fisheries Society. 129: 1264—1280.
Working Papers
Lamberson, P.J.. 2014. Superstars and Long Tails: An Agent Based Model of Consumer Choice.
Lamberson, P.J. and Scott Page. 2014. Strategies for Competing in Markets with Positive Feedbacks.
Lamberson, P.J.. 2013. Two-Way Contagion.
Lamberson, P.J.. 2013. Network Games with Local Correlation and Clustering.
Lamberson, P.J. and Georgia Kernell. 2012. Empirical Implications of Including Social Influence in the Calculus of Voting.

Print Teaching
Teaching Interests
Social dynamics, networks, modeling, system dynamics, complexity, decision making
Full-Time / Part-Time MBA
Social Dynamics and Network Analytics (MORS-945-0)
Today¿s business leaders face unparalleled levels of connectedness and complexity. To help students meet these challenges, Social Dynamics and Networks Analytics provides an in-depth introduction to the emerging fields of social dynamics and network science including social networks, social media, tipping points, contagion, the wisdom of crowds, prediction markets, and social capital. Using simple yet powerful hands-on interactive models and exercises, the course covers both theory and applications of social dynamics for organizational growth, leadership, and competitiveness. The course was developed jointly with Professor Uzzi and complements the MORS 430 leadership and organizations course

Executive MBA
Social Dynamics & Networks (MORSX-945-0)
The results of a recent IBM survey of over 1500 CEOs worldwide identified complexity as the most pressing challenge facing today's business leaders. To provide Kellogg EMBA students with the tools and skills necessary to confront this accelerating change and increasing interconnection, Social Dynamics and Networks explores cutting edge research on social networks, social media, tipping points, contagion, herd behavior, the wisdom of crowds, and prediction markets. The course employs simple yet powerful interactive models and hands-on exercises to develop understanding of both the theory and applications of social dynamics and network science.

Executive Education
The Strategy of Leadership: Unleashing the Power of Influence
The Strategy of Leadership uniquely combines cutting-edge science with compelling interactive learning, including simulations, experiential activities and case studies, to equip leaders with the techniques and frameworks to work with and through others to drive organizational success.
View Program