This study provides the first causal analysis of the impact of expanding Computer Science (CS) education in U.S. K-12 schools on students' choice of college major and early career outcomes. Utilizing rich longitudinal data from Maryland, we exploit variation from the staggered rollout of CS...

The Systems Development Life Cycle (SDLC) is generally interpreted as the set of procedures that transform inputs into outputs and as the method by which information systems are built. In the software development industry, the SDLC not only produces information systems but also is itself a type...

Intelligent Product Recommendation Agents have been used for some time now by large, well known Internet businesses such as Amazon and Netflix. Unfortunately there is little research assessing the effectiveness of these systems in influencing online consumer behavior. Businesses that sell...

Peer-to-peer systems, networks of egalitarian nodes without a central authority, can achieve massive scalability and fault tolerance through the pooling together of individual resources. Unfortunately, most nodes represent self-interested, or rational, parties that will attempt to maximize their...

Source: Dissertation Abstracts International, Volume: 67-10, Section: B, page: 5855.

Source: Dissertation Abstracts International, Volume: 52-07, Section: B, page: 3718.

The problem of learning a latent model for sparse or low-dimensional representation of high-dimensional data has attracted significant attention for many years. This thesis focuses on learning latent models for sparse or low-dimensional representation of images, dynamic data, and documents with...

Originally, the Internet was a technological playground, a collaborative endeavor among researchers who shared the common goal of achieving communication. Self-interest used not to be a concern, but the motivations of the Internet's participants have broadened. Today, the Internet consists of...

The ability to model, forecast, and analyze the behaviors of otheragents has applications in many diverse contexts. For example, behavioral models can be used in multi-player games to forecast an opponent's next move, in economics to forecast a merger decision by a CEO, or in international...

Speculation plays an ever-increasing role in optimizing the execution of programs in computer architecture. Speculative decision-makers are typically required to have high speed and small size, thus limiting their complexity and capability. Because of these restrictions, predictors often...