Wednesday, May 16 – 11:30 a.m.
Convergence science and research is the result of the sharing of methods, ideas, and intellectual frameworks between investigators from often radically different fields. The great convergence of methods and research approaches will have a broad effect across the sciences, social sciences, arts and humanities, and play a crucial role in the major breakthroughs of the 21st century.
Moderator: Mark Daley
Dr. Mark Daley is Associate Vice-President (Research), University of Western Ontario. Dr. Daley is a Principal investigator at the Brain and Mind Institute, holds a SHARCNET Research Chair in biocomputing and is the Chair of the Board of Directors of Compute Ontario. Dr. Daley is a mathematician and theoretical computer scientist by training and spent his early career contributing to both the theoretical foundations of computing and to the formal mathematical modelling of biological processes. Dr. Daley’s research endeavours also include data-driven mathematical modelling in neuroimaging and computational physiology.
Dr. Wil Cunningham
Wil’s research takes a social cognitive neuroscience approach to understand the cognitive and motivational processes underlying emotional responses. Of primary interest are the affective evaluations of people and objects that guide thought and behavior. To better understand these processes, his lab uses methods and theories from both social psychology (e.g., models of attitudes and latency-based evaluation measures) and cognitive neuroscience (e.g., biological models of emotion and fMRI/EEG methods). By using the “toolboxes” of each discipline with their distinct strengths and weaknesses, a more complete picture of emotion is likely to emerge. Current research examines how motivation and emotion-regulation (which can occur at both automatic and controlled levels of processing) contribute to emotional and evaluative states. This work suggests that affective states are constructed moment to moment from multiple component processes that integrate relevant information from various sources such as automatically activated attitudes and situational contexts. In addition, recent work examines how different emotional states contribute to evaluative judgments.
Dr. Kate Helsen
Dr. Kate Helsen is an Assistant Professor in the Department of Research and Composition at the Don Wright Faculty of Music at the University of Western Ontario. Her specialization in the analysis of Gregorian chant, and Early Music more broadly, has led to her involvement in international projects that dismantle the traditional boundaries of music and technology and resulted in articles in journals such as Plainsong and Medieval Music, Acta Musicologica, and Early Music. Her research interests include early notations, the structural analysis of chant, melodic encodings, and obsessing over gorgeous manuscripts. Kate sings professionally with the Tafelmusik Chamber Choir and leads the vocal component of the Early Music Studio at Western.
Dr. André Longtin
Panelist Dr. Andre Longtin’s research interests are in nonlinear dynamics, stochastic dynamics, biological physics and mathematical biology. The main focus of his research is on theoretical and computational studies of the nervous system. The long-term goals of his research are to understand how neurons and other biological units self-organize and perform computations, and what links cellular biophysics and biological complexity. Dr. Longtin will also be a keynote speaker with Dr. Leonard Maler who jointly won the Brockhouse Canada Prize for Interdisciplinary Research in Science and Engineering for their study of neural codes.
Dr. Lynn Welton
Lynn is an archaeologist focusing on the Bronze and Iron Ages of the ancient Near East, and has conducted fieldwork in Turkey, Iraq, Iran and Ethiopia. Her past research has included the use of isotopic geochemistry to reconstruct the mobility of ancient populations and computer-aided approaches to artifact recognition and classification. She is currently a Research Associate at the University of Toronto for the Computational Research on the Ancient Near East (CRANE) project, concentrating on the use of global climate modelling and dynamical downscaling of climate data to provide information on the variability of past environments, and the use of agent-based models to reconstruct possible societal responses to environmental changes.
CRANE Project: https://www.crane.utoronto.ca/
Tayinat Archaeological Project: http://sites.utoronto.ca/tap/