Affiliated Faculty

IUNI has over 165 faculty affiliates from across IU. You may browse through listings below – clicking on a name will expand to show you full listings. You may also search through keywords and biographies in the search bar below.

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| A - E | F - J | K - O | P - T | U - Z |

A - E
Baggetta, Matthew Governance and Management, School of Public and Environmental Affairs / IUB
Bio: Matthew Baggetta studies the civic implications of membership organizations. Such groups can be seen as sites where social network ties are formed and reinforced among individuals and as nodes in networks of membership and non-membership organizations. Baggetta is particularly interested in the selection of individuals into and out of membership groups and the possible causal effects of the organizations on the individuals within them.
F - J
Garcia, Filomena Economics, College of Arts and Sciences / IUB
Bio: Filomena Garcia is Assistant Professor in the Department of Economics of Indiana University. Her main research interests are Industrial Organization and Game Theory. She has been using strategic network theory to understand the emergence of R&D networks and their effects for competition policy.
Disciplines: Economics
K - O
McCormick, Bryan Recreation, Park & Tourism Studies, School of Public Health / IUB
Bio: My research focuses on the social and community functioning of people with severe mental illnesses. Through the use of a variety of research methods, we have examined such elements as daily physical activity, mood, and social context as well as recreation and support networks. My current work examines the role of networks and network members in the health behaviors of adults with schizophrenia.
P - T
Pullen, Erin L. IU Network Science Institute / IUB
Bio: Erin Pullen is an Assistant Research Scientist at the Indiana University Network Science Institute. She came to Indiana University in 2015 after completing her PhD at the University of Kentucky. Her primary research interests include egocentric networks, medical sociology, health disparities, and quantitative methodologies. Broadly, she is interested in how relationships between personal social networks, health behaviors, and health outcomes co-evolve over time, particularly in the context of disadvantage and inequality.
Disciplines: Sociology
Raymond, Angie Business Law and Ethics, Kelley School of Business / IUB
Bio: I am currently working on understanding how to use social and digital networks to lessen the impact of false or biased communication and reputation responses in an online justice system.
Shih, Patrick Informatics, School of Informatics and Computing / Bloomington
Bio: I'm an Assistant Professor of Informatics in the School of Informatics and Computing at Indiana University Bloomington. I am a Fellow of the Center for Computer-Mediated Communication (CCMC). I am also an affiliated faculty at the Center for the Integrative Study of Animal Behavior (CISAB), the Indiana University Network Science Institute (IUNI), and the Institute for Software Research (ISR) at the University of California, Irvine. I am interested in utilizing mixed methods approaches to tackle research problems in online and geographic communities. Specifically, my current research focuses on leveraging awareness of individual and community activities embedded in sensor technologies, smart devices, social media, and online forums in the design and construction of novel persuasive interfaces and civic engagement platforms that facilitate sustainable motivational and behavioral changes.
Smith, Eliot Psychological and Brain Sciences, College of Arts and Sciences / IUB
Bio: Distinguished Professor of Psychological and Brain Sciences Eliot Smith has pioneered the development of multi-agent models of information spread in social networks that draw on social psychological studies of social influence to incorporate realistic assumptions about how and when people will accept (and further transmit) the information they receive from others (Mason et al., 2007). Smith’s empirical studies and multi-agent modeling have focused on the cognitive and behavioral processes that occur when people receive information from others that differs from their own prior beliefs — processes that determine whether they accept the information and change their beliefs, ignore the information, or seek out further evidence to attempt to reconcile the inconsistency (Collins et al., 2011; Smith and Collins, 2009). Another investigation examined in depth strategies for processing inconsistent information and determining its validity (Smith, 2014). The multi-agent model led to the conclusion that people can best avoid misinformation by comparing incoming information to their own existing beliefs, and discarding it if it is too discrepant. Alternative strategies that are prominent in the literature — such as accepting new information if it comes from multiple independent sources — were found not to be useful. This is partly because people are not usually in a good position to know the overall structure of the social network and therefore cannot tell whether multiple information sources are truly independent of each other. That is, person A may hear the same information from both B and C and assume they are independent, when in fact both B and C might have obtained the information from a common source D.