Videos / Multimedia

Accessible AI: Expanding the Reach of Intelligent Solutions

Lecture
May 8, 2018

Leveraging Data Science to Address Housing Affordability

Lecture
May 1, 2018
Paul Waddell

Equity and the Environment: What’s the connection?

Lecture
April 24, 2018

Project Jupyter: Architecture and Evolution of an Open Platform for Modern Data Science

Lecture
April 17, 2018
Fernando Pérez

Modeling and Planning Urban Systems with Novel Data Sources

Lecture
March 20, 2018

Opportunities for Biological Discovery From Quantitative Analysis of Vast Data Sets Acquired with Advanced Microscope Technologies

Lecture
March 6, 2018

Vector Representations of Graphs and the Maximum Cut Problem

GraphXD
February 26, 2018

Supporting the Data Science Lifecycle

Lecture
February 13, 2018

Fighting Poverty with Data: Research at the Intersection of Machine Learning and Global Development

Lecture
December 5, 2017
Joshua Blumenstock

2017 Text XD Videos

TextXD
November 29, 2017
Nick Adams,
Elena Glassman,
Alexandra Paxton

Statistical Methods and Software for the Study of Olfactory Stem Cell Differentiation Using Single-Cell Transcriptome Sequencing

Lecture
November 28, 2017
Sandrine Dudoit

Causal Inference in the Age of Big Data

Lecture
November 14, 2017

Making NLP work for Investigative Journalism

Lecture
November 9, 2017

Inside NumPy: how it works and how we can make it better

Lecture
Python
October 19, 2017
Nathaniel Smith

Data for Social Good: Possibilities and Potential Pitfalls

Lecture
October 17, 2017
Laura Waller at the podium.

Computational Microscopy

Lecture
October 3, 2017
Laura Waller

Graph Clustering Algorithms

GraphXD
September 28, 2017

On Computational Thinking, Inferential Thinking and Data Science

Lecture
September 26, 2017

Why determining the fate of the Universe forces you to learn any/every data science tool you can

Lecture
September 19, 2017
Saul Perlmutter
Text Thresher logo

Threshing Text and Understanding Police and Protests

Podcast
September 14, 2017
Nick Adams

Three principles for data science: predictability, stability, and computability

Lecture
September 12, 2017
Bin Yu

Do Steph Curry and Klay Thompson Have Hot Hands?

Lecture
September 1, 2017

From 'Static' to 'Research Ready' - Preparing Archives for Computational Text Analysis

Lecture
July 25, 2017
Nick Adams

From Static Archive to Research-Ready Database: Preparing the Congressional Record for Computational Social Science

Lecture
July 25, 2017
Nick Adams

Linguistic-Mediation of Visual Saliency: Using ROC to Compare Multi-Dimensional Datasets

Lecture
April 21, 2017

Predicting Animal Responses to Ocean Deoxygenation Using Novel Combinations of Data and Models

Lecture
April 14, 2017

Salvaging a Genetics Project: Identifying and Correcting Sample Mix-Ups in High-Dimensional Data

Lecture
April 7, 2017

Gender, Prestige, and Productivity in Academic Hiring Networks and Career Trajectories

Lecture
March 17, 2017

Persistent Homology as Feature Generation for Drug Discovery

Lecture
March 10, 2017

Engineering at the Intersection of Productive Efficiency, Ideology, and Ethical AI in Wikipedia

Lecture
February 24, 2017

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