Committee on Applied and Theoretical Statistics

Frontiers in Massive Data Analysis

Strengthening Forensic Science in the United States

Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results

Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment

Enhancing Urban Sustainability with Data, Modeling, and Simulation

Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions

Data Science for Undergraduates

Refining the Concept of Scientific Inference When Working with Big Data

Training Students to Extract Value from Big Data

Applying Big Data to Address the Social Determinants of Health in Oncology

Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science

Life-Cycle Decisions for Biomedical Data

Automated Research Workflows for Accelerated Discovery

Massive Data Sets

Discriminant Analysis and Clustering

Review of Proposals for Research on Statistical Methodologies for Assessing Variables in Eyewitness Performance

Envisioning the Data Science Discipline : The Undergraduate Perspective

Innovations in Software Engineering for Defense Systems

Statistical Analysis of Massive Data Streams

Steps Toward Large-Scale Data Integration in the Sciences

Modern Interdisciplinary University Statistics Education