Johan Bollen, Professor, Indiana University

Funded projects

2016-2019: “Regional Economic Development as a New Theoretical Framework: Integrating Data Science, Complex Adaptive Systems and Social Sciences for Precision Policies”, Economic Development Administration, EDA/ED17HDQ3120040
2016-2019: DARPA Next Generation Social Science (NGS2) - developing and validating reproducible methods for studying human social behavior : co-PI with Josh Plotkin (PI), Erol Ackay (PI), Alex Stewart (co-PI), David Rand (co-PI), and Simon Levin (co-PI)
2016-2019: An empirical investigation of the Goodhart effect for the widespread introduction of (alt)metrics, SMA/SME # 1636636 PI with Cassidy Sugimoto (co-PI)
2012-2013: Early Model-Based Event Recognition with Surrogates, Open Source Indicators (OSI) Program, IARPA.
2011-2014: “Meme Diﬀusion Through Mass Social Media”, NSF ICES #CCF-1101743, co-PI with Filippo Menczer, Alessandro Flammini, and Alessandro Vespignani
2010-2011: Developing a Generalized and Sustainable Framework for a Public, Open, Scholarly Assessment Service Based on Aggregated Large-scale Usage Data, Andrew W. Mellon foundation
2010-2010: Models of social contagion of charitable sentiment towards Haiti on Twitter. NSF-BCS
2009-2012: Tracking Scientific Innovation from Usage Data, NSF, SciSIP
2006-2008: MESUR: Usage-based metrics for the Andrew W. Mellon Foundation.

Highlights

Mental health and well-being.

The role of emotion regulation and social networks in mental health and well-being. Rui Fan, Onur Varol, Ali Varamesh, Alexander Barron, Ingrid A. van de Leemput, Marten Scheffer & Johan Bollen (2019) The minute-scale dynamics of online emotions reveal the effects of affect labeling. Nature Human Behaviour, 3:92–100

Science of science.

Science as a complex system: metrics and funding. Bollen J, Van de Sompel H, Hagberg A, Bettencourt L, Chute R, et al. (2009) Clickstream Data Yields High-Resolution Maps of Science. PLoS ONE 4(3): e4803.i
Bollen J, Van de Sompel H, Hagberg A, Chute R (2009) A Principal Component Analysis of 39 Scientific Impact Measures. PLOS ONE 4(6): e6022.

Socio-economic modeling.

Modeling the complex relation between economies, markets, and social phenomena. Johan Bollen, Huina Mao, and Xiao-Jun Zeng (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1):1-8, doi:10.1016/j.jocs.2010.12.007, arxiv: abs/1010.3003.

Collective Intelligence.