A project of the Data Science Across the College initiative, directed by Timothy Beal and Mark Turner and supported by President (now emerita) Barbara Snyder, the Data Science Colloquium through the Department of Cognitive Science at ÐÇ¿Õ´«Ã½ is meant to build on strengths and potentials across many fields, including the arts and humanities, social and behavioral sciences, and natural and mathematical sciences, to elevate data science and machine learning as a college-wide focus for research, scholarship, and curriculum development.
Upcoming Data Science Colloquia
Past Data Science Colloquia
High Resolution Image Reconstruction and Feature Extraction
Presented by Weihong Guo, Associate Professor, Mathematics, Applied Mathematics, and Statistics, ÐÇ¿Õ´«Ã½ See Guo's Presentation
Meditating Brain: Analysis and Interpretation of MEG Data During Meditation
Presented by Daniela Calvetti, The James Wood Williamson Professor of Mathematics, Applied Mathematics, and Statistics, ÐÇ¿Õ´«Ã½
Face of the Deep: Perverse Engagements with Neural Machine Translation
Presented by Tim Beal, Florence Harkness Professor of Religion, with Justin Barber and Michael Hemenway, AI Institute at Iliff School of Theology
Data Science and Machine Learning Applied to Silicon Photovoltaic Solar Panels: Doing Energy Science at Scale with Time-series and Image Datasets
Presented by Roger French, Kyocera Professor, Materials Science & Engineering; Director, SDLE Research Center; Faculty Director, Applied Data Science Program See French's Presentation