“Principles for Designing Complex Data Analyses” Sept 21, 2023 | 12-1PM. Hiebert Lounge & Zoom. Data analyses have grown more complex over time in part due to tremendous advances in data collection, measurement technology, and computational power. These advances have allowed us to measure the world in ever greater detail and apply complex models from […]
“Artificial Intelligence (AI) in Medicine: Population Health” Oct 17, 2023 | 2-3PM. Hiebert Lounge & Zoom. Register here. If we look back to our most vivid population health challenge, it has been the COVID-19 pandemic from which we have just emerged. AI was notably unhelpful in the pandemic except perhaps for the development of vaccines. […]
“Machine Learning in Population Health: Challenges & Opportunities” Nov 2, 2023 | 12-1PM. Hiebert Lounge & Zoom. Register here. Dr. Rumi Chunara is Associate Professor of Biostatistics and Director of the Center for Health Data Science at New York University. Her work and innovations in computer science and biostatistics are driven by themes of public […]
Instructors: W. Evan Johnson and Vijaya B. Kolachalama. Dec 11, 2023 | 11:30AM – 2:30PM. Hiebert Lounge. Lunch provided. Registration is now closed. The workshop will include the following topics: Introduction to Machine Learning Terminology Overview of Machine Learning Methods Supervised and unsupervised learning Model training and testing Model evaluation / performance metrics Kernel-based Methods Kernels and transformations Regularization […]
“The Moral Salience of the Algorithmic Lens” Jan 24, 2024 | 12-1PM. Hiebert Lounge & Zoom. Register now: Abstract: Our world today is filtered through the algorithmic lens — a vast assemblage of algorithmic tools and data that mediate our experience of life, work, and health. This lens reveals and distorts: it forces the […]
“Toward a Taxonomy of Trust in Data Science Methods” Feb 15, 2024 | 11:30AM-12:30PM. Hybrid Event (BUMC & Zoom). In-person: Crosstown Center (801 Mass Ave), 2nd Floor, Room 2128. Register now to participate Abstract: Probabilistic data analysis increasingly informs critical decisions in medicine, economics, politics, and beyond. A major concern is generalization: if we […]
“Data Visualization for Inference: Opportunities & Challenges” Mar 7, 2024 | 12-1PM. Hiebert Lounge & Zoom. Register now to participate Abstract: Research and development in computer science and statistics have produced increasingly sophisticated software interfaces for interactive visual data analysis and visualization-based communication. Despite these successes, our understanding of how to design effective visualizations for data-driven […]
April 25, 2024 | 12-1PM. Hybrid Event. In-Person: Crosstown Center, 801 Mass Ave, 3rd Floor, Room 305. Register now to participate The BUSPH Population Health Data Science program is pleased to announce a new series entitled ‘Ask the Data Science Expert’. The purpose of this series is to provide an interactive opportunity for our community […]
Lunch and Learn: “Why Veridical Data Science for Medical AI?” June 11, 2024 | 12-1PM. Hybrid Event. In-Person: Crosstown Center, 801 Mass Ave, 3rd Floor, Room 305. Register Now: Abstract: Data Science is central to AI and has driven most of the recent advances in biomedicine and beyond. Human judgment calls are ubiquitous at every […]
Instructors: Prasad Patil and Lukas Weber. March 26, 2024 | 11AM – 2PM. Hiebert Lounge. Lunch provided. Register here. This workshop will provide training in the key principles of data visualization and the opportunity to practice applying these principles through worked examples. Participants will: Learn key principles and concepts for data visualization Acquire skills in […]