Authors: Matthew Blackwell, Stefano Iacus, Gary King, and Giuseppe Porro
This program is designed to improve the estimation of causal effects via an extremely powerful method of matching that is widely applicable and exceptionally easy to understand and use (if you understand how to draw a histogram, you will understand this method). The program implements the Coarsened Exact Matching (CEM) algorithm described in: Read more about CEM for SPSS
Undergraduates interested in participating in the Research Scholars Program should check Current Opportunities to find out more about projects currently in need of researchers. To apply, send a resume and cover letter detailing relevant qualifications and experience to the contact person listed under the project description. Read more about How To Apply
Digital video editing and computer graphics have allowed unbridled creativity for professional film makers. However, the software tools and techniques used to accomplish these tasks require expert knowledge and are often slow. With this project, we aim to improve existing video processing tools which currently slow down existing users and block new users from the creative process.
Real-world objects have a characteristic shape, appearance and response to physical interactions. Computer graphics was concerned with modeling those three components of an object to bring more realism onto our computer display. In addition, CAD (computer-aided design) tools and techniques to edit and create geometry were developed to accurately and intuitively design the shape of objects. This shapes can then directly be fabricated. Read more about Fabrication
We are working to apply novel visualization tools and techniques to leading edge biomedical research. Our current focus is collaborating with the Multiscale Hemodynamics Project which is a collaboration of doctors, physicists, and computational scientists working together to model human blood flow through the coronary arteries. Read more about Biomedical Visualization
Recent advances in high-resolution acquisition techniques (e.g., electron microscopy) let scientists acquire volume data of extremely large sizes. However, the tremendous resolution and the high complexity of these volumes present big challenges to storage, processing, visualization and visual analysis at interactive rates.
The File Information Tool Set (FITS) identifies, validates, and extracts technical metadata for various file formats. It wraps several third-party open source tools, normalizes and consolidates their output, and reports any errors. FITS was created by the Harvard Library for use in its Digital Repository Service (DRS) but was released as open source in 2009.