Informatics studies the structure, algorithms, behavior, and interactions of natural and artificial systems that store, process, access, and communicate information. It considers the interaction between humans and information systems alongside the construction of computer interfaces, develops its own conceptual and theoretical foundations, and, utilizes foundations developed in other fields. As such, the field of informatics has great breadth and encompasses many individual specializations, including the more particular discipline of computing science. Since the advent of computers, individuals and organizations increasingly process information digitally. This has led to the study of informatics with computational, mathematical, biological, cognitive, and social aspects, including studying of the social impact of information technologies.
The three elements of Social Systems Informatics are embodied in its name.
- Social refers to an emphasis on interactions with others, as opposed to individual-level behavior, within their physical, social, and virtual environments.
- Systems refers to distinct but interacting components of a social structure that are working together (or not).
- Informatics refers to the science of gathering, storing, and processing of data. There are opportunities to collect vast amounts of data pertaining to social interactions within and across systems—such as internet communications or video and audio images. At present, the field of Social Systems Informatics has limited computational methods that can be applied to study these interactions.
Office: Room 458 Flipse Building 35, 5665 Ponce de Leon Blvd.
My program of methodological research is focused on two key issues; these are improving areas where available methods may not be adequate for real psychological data, or where a research question may not be addressed using standard analysis techniques. Specifically, I investigate Bayesian estimation as a tool to help overcome estimation difficulties in structural equation models. I also focus on improving the match between statistical models and psychological theory, because mismatch between model and theory can obscure our understanding of psychological processes and influences.
Office: Rubloff Building 10th Floor, Northwestern University
Office: Clinical Research Building, Room 1505
Office: Wolfson 2019
Ching-Hua Chuan is a research associate professor of interactive media at University of Miami. She received her PhD in computer science from University of Southern California (Los Angeles, CA, USA) Viterbi School of Engineering, and her BS and MS degrees in electrical engineering from the National Taiwan University. Dr. Chuan’s research interests include artificial intelligence, machine learning, music information retrieval and audio signal processing. She has published refereed articles in journals and conferences on audio content analysis, style-specific music generation, machine learning applications, and music and multimedia information retrieval. She was the recipient of the best new investigator paper award at the Grace Hopper Celebration of Women in Computing in 2010. Dr. Chuan has served on the program committees of International Society of Music Information Retrieval, International Conference on Mathematics and Computation in Music, International Conference on New Interfaces for Musical Expression, IEEE International Workshop on Multimedia Information Processing and Retrieval, and the scientific advisory committee for Music Similarity workshop at Lorentz center. She is also the co-organizer of the International Workshop on Deep Learning for Music and the founder of Women in Music Information Retrieval (WiMIR).
Office: Room #003 Cox Science Center, 1301 Memorial Drive
Julia is interested in using a computational pipeline to allow her to visualize differential, brain-wide neural circuit activation in models of inherited disorders. Her primary field of research is developmental neuroscience; zebrafish models of autism and ataxia.
Office: Merrick Building, Room 121F
Office: Room G382, Law Library
Office: 1300 Campo Sano Avenue, Room 140-D
Phone: 305.284.2110 | 305.184.8493
Office: Department of Anthropology, Room 103G Merrick
Office: Dept. of Psychology 5665 Ponce de Leon Boulevard, Room 308
In addition to his role as Program Director of Social Systems Informatics, Dr. Daniel Messinger is the principal investigator of the SIBSMILE lab. He is an associate professor in the Child Division of the Department of Psychology and in the departments of Pediatrics and Electrical & Computer Engineering at the University of Miami. Dr. Messinger’s current research aims to further understand emotional and social interaction and development of typically developing infants, infants who have autistic siblings, and children with autism spectrum disorders. He is using automated measurement and ratings of facial expressions to explore emotion and interaction. Additionally, Dr. Messinger is examining dynamic systems and the impact of real-time processes (sharing a smile) on developmental processes (secure attachment). He is associate editor of Emotion (American Psychological Association Journal) and reviews grants for the National Institute of Health and the National Science Foundation.
Office: Center for Family Studies Building, Room 301D
Office: Clinical Research Building, Room 1021
Office: Center for Family Studies Building, Room 312
Office: 283 McArthur Engineering Building, 1251 Memorial Drive, Coral Gables, FL 33146
- Networks and Information Diffusion
- Marketing Engineering
- Retail Engineering
Office: Room 403, Ungar Building