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
Alderson, Art Sociology, College of Arts and Sciences / IUB
Apostolova, Liana Neurology, School of Medicine / IUPUI
Bio: Liana G. Apostolova, MD, MSc, FAAN joined the IU School of Medicine as the Barbara and Peer Baekgaard Professor in Neurology, Radiology, Medical and Molecular Genetics at in June of 2015. She graduated Summa cum Laude from the Medical University, Sofia, Bulgaria in 1998, and completed Neurology residency training at University of Iowa and Dementia fellowship at UCLA. Dr. Apostolova is a prolific researcher with over 60 original peer-reviewed publications. Her research focuses on the early symptomatic and presymptomatic stages of Alzheimer's Disease and on the development and validation of sensitive imaging and genetic biomarkers for Alzheimer's disease and other dementing disorders. She is the Founding Director of the UCLA-Easton Neuroimaging Laboratory. Dr. Apostolova is former recipient of the highly prestigious K23 Beeson Career Development Award as well as several grants form the NIH, private foundations and industry. She was awarded the 2010 American Academy of Neurology Research Award in Geriatric Neurology, the 2010 American Federation for Aging Research GE-Healthcare Junior Investigator Award for Excellence in Imaging and Aging Research and the 2007 Turken Research Award. Dr. Apostolova has served as a research mentor to over 50 undergraduate, 16 graduate and 3 post-graduate students, as well as 3 junior faculty researchers to date. She serves as a Senior Associate Editor for the Alzheimer’s and Dementia: Disease Assessment and Monitoring journal and as the Chair of the Neuroimaging Professional Interest Area of the Alzheimer’s Association.
Atkinson, Simon Biology, School of Science / IUPUI
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.
Banerjee, Rudy Geography, School of Liberal Arts / IUPUI
Bio: Dr. Aniruddha “Rudy” Banerjee, Associate Professor. Department of Geography, Indiana University, Purdue University at Indianapolis (IUPUI) . Sabbatical at EHS, UC Berkeley 2013-14. Research Fellow, Prevention Research Center, Berkeley, CA. ¥ Advisor, SmartZIP™ (real estate intelligence startup), SmartZIP.com, Pleasanton, CA ¥ Advisor, Prodigiq™ (Aviation Software Solutions), Prodigiq.com, Thousand Oaks, California His interests are in spatial and computational statistics, spatial econometrics, decision support systems, and applied operations research (environmental and population health).
Rudy Banerjee earned his Bachelor of Architecture degree from Bengal Engineering College-University of Calcutta India. Migrating to the United States, he earned an MS degree in Urban and Regional Planning and his doctorate in Geography (environmental epidemiology and GISc) from the University of Iowa. He also has a Graduate Certificate in Transportation Studies from that institu! tion. Rudy has applied combinatorial optimization methods using both integer programming and graph theoretic approaches, Bayesian simulation of hierarchical networks and stochastic optimizations to analyze health information and develop space-time models of population health.
Barnes, Priscilla Applied Health Science, School of Public Health / IUB
Bio: Dr. Priscilla Barnes' research interests are in public health systems and services. More specifically, she examines inter-organizational factors that influence the quality of preventative services that disadvantaged populations receive within the U.S. public health system. She used primary and secondary data to create network-inspired visualization maps that illustrate types of partnerships (information sharing, coordination, cooperation, collaboration) that promote delivery of health education and population health management initiatives in local communities.
Beer, Randall Cognitive Science Program, College of Arts and Science / IUB
Beggs, John Physics, College of Arts and Sciences / IUB
Bell, David C. Sociology, School of Liberal Arts / IUPUI
Brendel, Volker Biology, College of Arts and Sciences / IUB
Connelly, Kay Computer Science and Informatics, School of Informatics and Computing / IUB
Bio: Dr. Kay Connelly is an Associate Professor in the School of Informatics and Computing at Indiana University. She is the director of the Proactive Health Informatics group. Dr. Connelly’s research focuses on user acceptance of ubiquitous and mobile computing technologies where there is a delicate balance between such factors as convenience, control and privacy. Dr. Connelly’s most recent work emphasizes health and wellness applications to empower both the ill and the healthy to manage and improve their own health and make healthy choices.
Craig, Kalani History, College of Arts and Sciences / IUB
Bio: My research and teaching specialties are at the intersection of digital methodologies and medieval history. I use text mining, spatial history and coding schema to explore conflict in medieval European history, and my in-classroom work makes similar use of these approaches. Prior to returning to the scholarly world, I spent ten years managing Web sites and the technical and creative people responsible for creating those Web sites.
Deusner, Melody Barnett Art History, College of Arts and Sciences / IUB
Bio: Dr. Deusner, an art historian of late 19th century and early 20th century European art, practices network-oriented art history, tracking the densely interlocked small-world networks of artists, art collectors, and institutions. Her research also examines the changing historical concept of "network" in the nineteenth century.
Disciplines: Art History
Dickinson, Markus Linguistics, School of Informatics and Computing / IUB
Dzemidzic, Mario Neurology, Radiology and Imaging Sciences, School of Medicine / IUPUI
Bio: Dr. Dzemidzic is a research faculty in the Departments of Neurology and Radiology and Imaging Sciences at the IU School of Medicine and has been working on neuroimaging, including connectivity, for almost 20 years. Being a nuclear physicist by training, he is familiar with a range of data acquisition, analysis and software techniques applications. Dr. Dzemidzic’s research focus is in the alcohol research with Drs. David Kareken and Karmen Yoder and he also work with Dr. Andrew Saykin in Alzheimer's disease research. In addition, together with Dr. Robert Considine, he has been involved in applying chemosensory probes to neuroimaging of human eating disorders, such as obesity. Finally, Dr. Dzemidzic is very interested in multi-modal imaging and statistical analysis, the research direction he is pursuing in collaboration with Dr. Jarek Harezlak, whose expertise in biostatistics well complements his imaging expertise. He has also been mentoring a number of junior faculty, postdoctoral fellows and graduate students whose projects are neuroimaging-oriented.
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Flammini, Alessandro School of Informatics and Computing / IUB
Bio: Alessandro Flammini is an Associate Professor in the School of Informatics and Computing at Indiana University, Bloomington. He holds a Laurea in Physics from the University of Rome, and received a PhD in Statistical Physics from the International School for Advanced Studies, in Trieste, Italy. Before joining Indiana University he held research positions in several institutions, including the Cavendish Laboratory at the University of Cambridge, the Ralph Parson Laboratory at the Massachusetts Institute of Technology, and the Center for Ultra-structural Analysis at University of Lausanne, Switzerland. Dr. Flammini's research interests are mostly in the area of Computational Social Science. He has a long-standing passion for networks, both in theoretical aspects and applicative domains, including rivers, protein interactions, transportation, ecological, and socio-technological. His research is sponsored by ONR, DARPA, NSF and McDonnell Foundation. Dr. Flammini has formerly been the Director of the Undergraduate Program in Informatics at Indiana University, Bloomington.
Fulton, Brad R. School of Public and Environmental Affairs / IUB
Bio: Dr. Fulton is a sociologist who uses network analysis to examine how individuals interact within organizations and how organizations interact with one another. As organizations seek to become more diverse—both in their internal composition and external collaborations—his research examines how organizations navigate internal differences and manage external networks. Dr. Fulton’s research within organizations integrates social capital theory and network analysis to examine how a group’s social composition and social interactions interact to influence its outcomes. His research across organizations examines the collaborative partnerships organizations form to provide social services and he analyze how their interorganizational networks influence the types of programs they offer.
Disciplines: Sociology
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
Gesselman, Amanda Kinsey Institute / IUB
Bio: Dr. Gesselman is a social psychologist and a research scientist at the Kinsey Institute. Dr. Gesselman's research examines dating and sexuality of single adults — with an emphasis on technology and health behaviors — and on the psychology, sexuality, and health of romantic couples.
Disciplines: Social Psychology
Harezlak, Jaroslaw Epidemiology and Biostatistics, School of Public Health-Bloomington / IUB
Bio: Dr. Harezlak is an Associate Professor interested in brain connectivity. He has been working with groups both at IU and at other US institutions on statistical models to incorporate both structural and functional connectivity in regularized regression models.
Izquierdo, Eduardo J. Cognitive Science Program, School of Informatics and Computing / IUB
Bio: My research interest is in understanding the neural basis of behavior, as it arises from the interaction between the organism’s nervous system, its body, and its environment. We combine connectome graph analysis, neural network simulations, evolutionary algorithms for optimization, taking into account experimental observations, and mathematical analysis, including information theory and dynamical systems theory, to generate and understand complete brain-body-environment models of simple but biologically and cognitively interesting behaviors.
Jo, Taeho Radiology and Imaging Sciences, School of Medicine / IUPUI
Jones, Josette F. BioHealth Informatics, Informatics and Computing / IUPUI
Bio: Director, Health Informatics, Associate Professor, Health Informatics & Nursing and Affiliate Scientist, Regenstrief Institute
José, Jorge V. Physics, Stark Neurosciences Institute, College of Arts and Sciences, School of Medicine / Bloomington
Bio: The research in my lab goes from computational neuroscience studies of neurons and neuronal networks modeling animal behaviors to studies in humans affected by neurological disorders, including translational research applications. All research done in my lab is guided by a general principle of connecting neuronal dynamics to behavior. Autism Spectrum Disorder (ASD) is characterized by the lack of communicative and cognitive abilities. The current clinical diagnostic models have focused almost exclusively on the deficits providing qualitative behavioral treatments to improve the individual’s condition. In collaboration with Rutgers University and members of the Indiana University School of Medicine, we have been thinking about autism in a very different way. Recent technical advances in wearable sensing technology have helped us bridge the gap between observational clinical practices and quantitative objective research outcomes. The instruments we used in our laboratory settings allow motion tracking kinematics for different parts of the body, including the eyes’ minute motions, facial micro-expressions and body micro-movements. To analyze the “big data sets” produced by these recordings we developed new statistical analytics. Our analyses provide novel physiologically biometrics which may be used to characterizing sensory-motor signatures many which occur largely beneath detection of our naked eye capabilities. Our recent results offer new avenues for connecting the cognitive abilities of individuals by quantitatively studying their moment-by-moment natural micro-movements at a millisecond time scales. Synchronization of inhibitory neurons as a possible mechanism for attentional gain modulation. Naturally occurring visual scenes contain large amounts of spatial and temporal information that are transduced into neuronal spike trains along the visual sensory pathway. Human psychophysics indicates that only a small part of that information is attended. We have developed Hodgkin-Huxley neuronal models to analyze data obtained from electrophysiological experiments with nonhuman primates. We have suggested that attentional modulation of the synchrony of local interneuronal networks could potentially account for these observations. We also considered the case when two stimuli are presented simultaneously. The neuronal response is in between those for each stimulus presented separately (stimulus competition) and when one stimulus is attended. The neuronal response gets closer to the response to this stimulus presented alone (biased competition). When the stimulus contrast is varied, several types of gain responses have been found with attention. We introduced a biophysical neural network model of V4, constraining it to reproduce the dynamics observed in the absence of attention. We were able to reproduce some of the detailed neural activity reported experimentally and the stimulus competition. We are exploring the possibility that our model may provide a unified framework for attentional modulation in V4. From neuronal to an hydrodynamic model describing larvae zebra fish rich swimming repertoire. Larval zebrafish (LZF) provide a unique opportunity to study realistic neuronal models since the fish is transparent and most of its neuronal properties are measured. The LZF exhibits a variety of complex undulatory swimming patterns. This repertoire is controlled by the 300 neurons projecting from brain into spinal cord. We developed a segmental oscillator model (using the NEURON program) to investigate this system. By adjusting NMDA strengths and glycinergic synapses produced the generation of oscillation (tail-beat) frequency patterns over the range exhibited experimentally. To describe visually the experimentally observed bending patterns we also developed a biomechanical-hydrodynamic model to better understand how those outputs are generated by the neuronal model we developed.
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Macklin, Paul Intelligent Systems Engineering, School of Informatics and Computing / Bloomington
Bio: I work in the newly-formed Department of Intelligent Systems Engineering, where I am helping to start the bioengineering track. My work involves developing sophisticated, multiscale models of tissues and organisms that show dynamical cross-talk and feedbacks between networks at multiple scales: genetics, epigenetics, RNA transcription, protein dynamics, cell phenotype, cell and tissue mechanics, multicellular communications through chemical and mechanical signals, tissue remodeling, networked physiologic subsystems (e.g., immune system, cardiovascular system, etc.), organism-scale health/behavior, and the epidemiologic scale that emerges from the distribution of individual traits. Most of my prior work has focused on cancer and tissue biology, and I am now expanding to other areas such as cognitive health. I have developed and maintain several open source packages for simulation investigations of these dynamical multiscale systems, and I also lead an international group in creating a data standard / data model for these problems.
Maltese, Adam Curriculum and Instruction, School of Education / Bloomington
Bio: My current research involves analysis of both quantitative and qualitative data regarding student experiences, performance and engagement in science education from middle school through graduate school. More recently, we've begun work that uses eye tracking technologies to study the interpretation of data by students and scientists in classroom and field-based settings.
Disciplines: Education
Maupome, Gerardo Department of Cariology, Operative Dentistry and Dental Public Health, School of Dentistry / IUPUI
Bio: Gerardo Maupomé is an oral health researcher with primary interests in dental health services research and oral epidemiology, oral treatment needs among patients at high risk of disease or subject to health and social disparities, and analysis of professional practices – including how dental professionals make therapeutic decisions. He has worked in the private sector and in academia for the past 25 years. He is a Professor with Indiana University School of Dentistry since 2005, and currently has various affiliations with academic organizations in the USA (including IUNI) and in the UK. Dr. Maupomé has been involved in various research projects – spanning from epidemiological studies assessing the impact of public health fluoridation, to clinical trials of chlorhexidine varnishes; from community demonstrations to promote healthier lifestyle decisions, to quantitative appraisals of factors contributing to poor oral health and failure to access dental services; and from qualitative investigations into social and economic determinants of health, to economic analyses of the costs implied in health conditions and associated therapeutic procedures. Some of these studies have been focused on American Indians, people of Mexican and Hispanic origin, those 65 years of age and older, children, and population groups with restricted access to dental services.
Disciplines: Dentistry
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.
McCranie, Ann Indiana University Network Science Institute / IUB
Bio: Ann McCranie is the Assistant Director of Research Administration at Indiana University Network Science Institute, responsible for proposal development, educational outreach and conference and talk planning. McCranie received her PhD in Sociology from IUB, and her research is focused on networks in several domains: personal networks and health decision making, networks within organization and how they impact change, and networks between researchers in the mental health services field. McCranie has also served as the managing editor for Network Science and as summer program faculty teaching network analysis for the University of Michigan's ICPSR Summer Program since 2011. She is the co-author of Recovery in Mental Health: A Critical Sociological Account.
Disciplines: sociology
Melo, Emerson Economics, College of Arts and Sciences / IUB
Bio: Dr. Melo is assistant professor at the Department of Economics at Indiana University Bloomington. He received his PhD in Social Sciences, from California Institute of Technology, June 2013. His research interest are Game Theory, Microeconomic theory, Economic and Social Networks, and Applied Econometrics. From 2013-2015, did his Postdoc at the Cornell Theory of Computation group and the Center for the Interface of Networks, Computing, and Economics (CINCE). He was junior researcher at the Central Bank of Chile, January 2006 to August 2008.
Disciplines: economics
Menachemi, Nir Health Policy and Management, Richard M, Fairbanks School of Public Health / IUPUI
Bio: Dr. Nir Menachemi serves as Chair of the Health Policy and Management department of the IU Richard M. Fairbanks School of Public Health and holds the rank of Professor. He also holds an appointment as Affiliated Scientist with the Regenstrief Institute. Dr. Menachemi’s research examines how organizational strategies (e.g., health information technology adoption) impact critical performance measures, including quality outcomes and financial performance. In addition, he has published extensively on health policy and public health topics ranging from obesity issues to the impact of various laws or policies on health outcomes.
Disciplines: public health
Menczer, Filippo Informatics and Computer Science, School of Informatics and Computing / IUB
Bio: Filippo Menczer is a Professor of informatics and computer science, adjunct Professor of physics, and a member of the cognitive science program at Indiana University, Bloomington. He holds a Laurea in Physics from the University of Rome and a Ph.D. in Computer Science and Cognitive Science from the University of California, San Diego. Dr. Menczer has been the recipient of Fulbright, Rotary Foundation, and NATO fellowships, and a Career Award from the National Science Foundation. He currently serves as director of the Center for Complex Networks and Systems Research and is a Fellow of the Institute for Scientific Interchange Foundation in Torino, Italy, a Senior Research Fellow of The Kinsey Institute, and an ACM Distinguished Scientist. He previously served as division chair in the IUB School of Informatics and Computing, and was Fellow-at-large of the Santa Fe Institute. His research is supported by the NSF, DARPA, and the McDonnell Foundation. It focuses on Web science, social networks, social media, social computation, Web mining, distributed and intelligent Web applications, and modeling of complex information networks.
Disciplines: Computer Science
Miller, Wendy R. Community & Health Systems, School of Nursing / IUPUI
Bio: Wendy Miller is an Assistant Professor at IU School of Nursing. She has expertise in chronic disease self-management, particularly in the condition of epilepsy. She is the Director of the IU School of Nursing Social Network Health Research Lab.
Disciplines: Nursing
Ning, Xia Department of Computer & Information Science, School of Science / IUPUI
Bio: Dr. Ning is working on Data Mining, Machine Learning and Big Data Analytics and their applications in e-Commerce and Recommender Systems, where she develops personalized and scalable methods and software tools to discover knowledge regarding users' personal preferences, intentions and behavior patterns, etc, from their purchases activities, social networks, click traces, online reviews, etc, and correspondingly produce personalized recommendations. She is also involved in research on drug discovery and bioinformatics, where she develops effective data mining and machine learning methodologies to facilitate rapid and targeted exploration over chemical and biological spaces, and computational methods for various Chemoinformatics and Bioinformatics problems. She is also active in complex systems research, where she develop Big Data Analytics methods to help understand system behaviors, detect anomalies from large and heterogeneous systems, and identify security related issues, etc.
Oruche, Ukamaka Community and Health Systems, School of Nursing / IUPUI
Bio: My program of research focuses on understanding and developing interventions to improve the mental health and wellbeing of families and their adolescents with Oppositional Defiant Disorders and Conduct Disorders with special emphasis on low income and African American families. My research provides insights into factors underlying frequent and trying interactions between families and child serving system professionals (i.e., mental health clinics, schools, juvenile justice, and child welfare) and the use of social network-based strategies to improve families’ efficacy needs and reduce caregiving stress.
Disciplines: nursing
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Perry, Brea Sociology, College of Arts and Sciences / IUB
Bio: Brea Perry is an Associate Professor of Sociology at Indiana University, and received a Ph.D. in Sociology from IU in 2008. Prior to returning to Indiana in 2014, she was an Associate Professor at the University of Kentucky, where she founded and directed the interdisciplinary Health, Society, and Populations Program. Her research and teaching interests include social networks, medical sociology, mental illness, biosociology, social genetics, and quantitative methodology. One line of research focuses on complex interactions between genotypes, social statuses, and social environmental conditions (GxExE) in substance use pathways. Dr. Perry also studies personal social network dynamics and processes that accompany progression through illness careers. Much of her work employs egocentric social network analysis and multilevel and longitudinal modeling. Dr. Perry’s research has been funded by the National Institutes of Health, the National Science Foundation, the Spencer Foundation, and the McManus Foundation. She is currently the series editor of Advances in Medical Sociology.
Disciplines: Sociology
Pescosolido, Bernice A. Sociology, College of Arts and Sciences / IUB
Bio: Bernice A. Pescosolido is Distinguished Professor of Sociology at Indiana University and Director of the Indiana Consortium for Mental Health Services Research. Professor Pescosolido received a B.A. from the University of Rhode Island in 1974 and a Ph.D. from Yale University in 1982. She has focused her research and teaching on social issues in health, illness, and healing. Pescosolido's research agenda addresses how social networks connect individuals to their communities and to institutional structures, providing the "wires" through which people's attitudes and actions are influenced. This agenda encompasses three basic areas: Health care services, stigma, and suicide research. In the early 1990s, Pescosolido developed the Network-Episode Model, which was designed to focus on how individuals come to recognize and respond to the onset of health problems, and use health care services. Specifically, it has provided new insights to understanding the patterns and pathways to care, adherence to treatment and the outcome of health care. As a result, she has served on advisory agenda-setting efforts at the NIMH, NCI, NHLBI, NIDRR, OBSSR, and presented at congressional briefings.
Disciplines: Sociology
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.
Razo, Armando Political Science, College of Arts and Sciences / IUB
Bio: Professor Razo's research interests are in the field of comparative politics, with special interests in the political economy of development and comparative analysis of networks and institutions. His research and teaching center around two themes: (1) how political institutions in developing countries affect economic performance; and (2) the study of political institutions and political organization in nondemocratic settings. Current research projects include the development of an ontology and linguistic corpus for comparative analysis of networks in international development. He teaches courses on networks and institutions, quantitative contextual analysis, development, positive political economy, and Latin American politics. He is the author of Social Foundations of Limited Dictatorship, published by Stanford University Press in 2008, which advances a network theory of private policymaking. A student of economic history, he is also co-author with Stephen Haber and Noel Maurer of The Politics of Property Rights (2003).
Disciplines: Political Science
Saykin, Andrew J. Radiology and Imaging Sciences, School of Medicine / IUPUI
Bio: Dr. Saykin is the Raymond C. Beeler Professor of Radiology and Imaging Sciences at Indiana University School of Medicine where he serves as director of the Indiana Alzheimer Disease Center and of the IU Center for Neuroimaging. He also holds appointments in Medical and Molecular Genetics, Neurology and Psychiatry. Before joining Indiana University in 2006 he served on the faculties of Dartmouth Medical School and the University of Pennsylvania. Dr. Saykin serves as Genetics Core leader of the NIA-sponsored multicenter Alzheimer’s Disease Neuroimaging Initiative (ADNI). Other collaborative federally sponsored projects examine cognitive changes associated with cancer chemotherapy, brain injury and schizophrenia. Dr. Saykin is the founding Editor-in-Chief of Brain Imaging and Behavior. His current research program focuses on the integration of structural, functional and molecular brain imaging with genomic and biomarker methods to study mechanisms of memory dysfunction and therapeutic response. Major goals include development of tools for early detection of dysregulated brain networks in older adults at risk for Alzheimer’s disease and identification of novel therapeutic targets based on imaging genetics association studies.
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.
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Watson, Dennis P. Health Policy and Management, School of Public Health / IUPUI
Bio: Dr. Watson’s research and teaching interests include behavioral health, high risk populations and health behaviors, and health services implementation and evaluation.
Winecoff, William Political Science, College of Arts and Sciences / IUB
Bio: I am Assistant Professor of Political Science at Indiana University Bloomington. Most of my research considers the politics of global finance and other networked systems. Within this, I primarily focus on structural power in the world economy, the political nature of supposedly-technocratic economic institutions, theories of hegemonic financial (in)stability, the relationship between firm-level economic agents and political systems, and the ways in which changes in demographics and predominant technologies impact political economy. Most of this research employs quantitative methodologies. I teach courses pertaining to international political economy, international relations, and network methodologies. I took a Ph.D. in Political Science from the University of North Carolina at Chapel Hill in 2013 and a B.A. in Economics from Southern Illinois University at Carbondale in 2007.
Disciplines: political science
Wu, Xiaogang Center for Computational Biology and Bioinformatics, School of Informatics and Computing / IUPUI
Bio: Xiaogang Wu received his PhD degree in 2005 on Control Science and Engineering from Huazhong University of Science & Technology (HUST), Wuhan, China. One year after that, he was appointed to associate professor of the Institute for Pattern Recognition and Artificial Intelligence (IPRAI) in HUST. He has over 10 years of research experience in image processing, machine learning, artificial intelligence, pattern recognition, chaotic dynamics and complex systems. His previous research focused on nonlinear dynamical analysis of complex models, especially estimating parameters of chaotic systems by nonlinear time series analysis, symbolic dynamics and chaos synchronization, etc. He is currently a Bioinformatics Scientist in the Hood Lab at Institute for Systems Biology (ISB). Before he joined ISB, he was a Research Scientist in the School of Informatics and Computing (SoIC) at Indiana University-Purdue University Indianapolis (IUPUI). He was also affiliated with Indiana Center for Systems Biology and Personalized Medicine (CSBPM, a signature center in Indiana University-Purdue University at Indianapolis). His current research focuses on bioinformatics and systems biology, e.g., applying machine learning, swarm intelligence, and complex network modeling techniques into identifying systems biomarkers for early diagnosis and predicting drug responses based on systems pharmacology. He is also an Associate Editor of Frontiers in Systems Biology since 2009.
Yan, Xiaoran IU Network Science Institute / IUB
Bio: Xiaoran Yan is an Assistant Research Scientist at Indiana University Network Science Institute. His research concerns mathematical theories and models of networks, with a focus on community structures and dynamical processes on networks. Through cross-disciplinary collaborations, his work is being applied to diverse areas including social networks, neuroimaging and science of science studies. He worked as a Postdoctoral Research Associate at Information Sciences Institute of University of Southern California. Before that, he was a graduate fellow at Santa Fe Institute. He received a Ph.D. in Computer Science at University of New Mexico.
Disciplines: Computer science