Ian
McCulloh
,
PhD

Associate
Ian McCulloh

Departmental Affiliations

Health, Behavior and Society
Affiliated

Contact Info

Johns Hopkins Applied Physics Laboratory, 11100 Johns Hopkins Road
Laurel
Maryland
20723
US        
240-228-1391
imccull4@jhu.edu

Research Interests

Social Network Analysis; Network Intervention; Online Influence; Social Neuroscience; Social Media
Experiences & Accomplishments
Education
PhD
Carnegie Mellon University
2009
MS
Florida State University
2004
BS
University of Washington
1994
Overview
Ian McCulloh holds joint faculty appointments in Public health and Engineering at Johns Hopkins University and serves as a chief scientist at the Applied Physics Lab. His current research is focused on strategic influence in online networks and understanding the cognitive dimension of the information environment. He is the author of three books and over 46 peer-reviewed papers, primarily in the area of social network analysis. He retired from the US Army after 20 years of service in special operations and counter-improvised explosive device (C-IED) forensics and targeting. He holds a Ph.D. and three masters degrees.
Honors & Awards
Sidney D. Drell Academic Intelligence Achievement Award, Intelligence and National Security Alliance (INSA), 2013
Order of the Dragon, Career Achievement Award, U.S. Army Chemical Corps, 1999
Select Publications
Selected publications from the last 5 years:
  • McCulloh, I. (2016). Neuroscience of Influence. In Bio-Psycho-Social Determinants of Behavior (Ed. Jason Spitaletta). Washington DC: Office of Secretary of Defense.
  • McCulloh, I. (2016). IkeNet: Email and Friendship Evolution. Connections, 36(1).
  • McCulloh, I. (2013). Social Conformity in Networks. Connections, 33(1): 35-42.
  • McCulloh, I., Johnson, A. N., & Carley, K.M. (2012). Spectral Analysis of Social Networks to Identify Periodicity. Journal of Mathematical Sociology, 36 (2): 80-96.
  • Sailer, K. & McCulloh, I. (2012). Social Networks and Spatial Configuration – How Office Layouts Drive Social Interaction. Journal of Social Networks, 34(1): 47-58.
Projects
Social Media Firestorms
Social (Network) Terrain Analysis
Assessing Neural Bases of Persuasion with Functional Near Infrared Spectroscopy (fNIRS)