Neuroscience: A Control Theory and Network Science Perspective Read more about BU CISE: Sérgio Pequito

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This 1.5 day hands-on workshop will cover basic concepts and tools, including program design in R, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. We will also focus on how one can do this work on the FAS RC Odyssey cluster. There is a nominal fee for the workshop, and is open to everyone,... Read more about Software Carpentry using R

Optimization and Design in the Presence of Internal Noise (Part 1) A Framework for Adaptive Learning and Personalized Treatments in EdX (Part 2)

Independent sets, local algorithms and random regular graphs

Progress report of 'Calibration with Multiplicative Means but Additive Errors: A Log Normal Approach'

Privacy Preservation Methods for Genetic and Location Data Read more about ToTsTiPs: Eran Toch

Learning and Mining in Large-Scale Time Series Data Read more about SEAS CS: Yan Liu

Transport Methods and Universality for beta-matrix model Read more about CMSA Talk: Florent Bekerman

Seeking Effective Adjustments for Effective Areas Read more about AstroStatTalk: Xiao-Li Meng

The Contextual Bandits Problem: A Fast, Simple, and Optimal Algorithm Read more about BigData: Roert Schapire

Generalized R-squared for Detecting Non-independence

Limit theorems for weighted non-linear transformations of Gaussian processes with singular spectrum Read more about BUStatPrSem: Nikolai N. Leonenko

Calibration Concordance