visual analytics icon


[Viswall, Anderson Hall]

While the capacity to collect and store large amounts of information—including environmental informatics, global disease surveillance information, and “-omics”, or biology-related, data—has grown significantly, our ability to analyze this data is progressing at a much slower rate. This gap leads to new challenges in the analytic and decision-making process. Scientists, public health and medical professionals rely on information hidden inside these data to make sound and timely environment- and health-related decisions. New analytical tools and effective support are necessary to depict and interpret information and to gain insight from this sea of data. The emerging field of visual analytics focuses on this problem by integrating human judgment with statistical data analysis. Through the use of visual interactive interfaces, we enable stakeholders to effectively explore and analyze massive, heterogeneous, and dynamic volumes of information. In this panel, we will examine key issues and opportunities in environmental health analytics, including: (1) challenges of developing integrative visual analytics systems to understand health-environment interactions, (2) identification of opportunities and areas of critical social needs; and (3) dissemination of actionable information to both the general public and policy makers.


Dr. Remco Chang
Assistant Professor,
Department of Computer Science
Dr. Carla Brodley
Chair and Professor,
Department of Computer Science
Kenneth Chui, PhD, MPH
Assistant Professor of Public Health and Community Medicine
Tufts University School of Medicine
Lakshmanan “Lax” K Iyer, Ph.D.
Research Assistant Professor
Senior Manager and Bioinformaticist
Computational Genomics Core, Center for Neuroscience Research
Tufts University School of Medicine
Dr. Elena Naumova
Associate Dean for Research, Professor,
Department of Civil and Environmental Engineering