Using Your Powers for Good - Data Science in the Social Sector

Explore data science applications in the social sector through this 43-minute conference talk by Peter Bull at ODSC Boston 2015. Discover how nonprofits and governments can leverage their data for positive impact, despite limited resources. Learn about the "data for good" movement and its potential to address social challenges. Dive into a case study showcasing winning methods from DrivenData's machine learning competitions. Gain insights on applying statistics, computer science, and machine learning to tackle social issues. Understand the current landscape of data science in the social sector, including disaster relief, education resource strategies, and data literacy gaps. Explore practical techniques such as logistic regression, bag of words, and ensemble building. Find out how to get involved in data science for social good through competitions, nonprofit collaborations, and other initiatives. Benefit from Bull's expertise as a computational scientist and software engineer committed to empowering impact organizations with data-driven solutions.

Introduction
Overview
Potential
Disaster Relief
Data Literacy Gap
Data Capacity Gap
Data Science Job Growth
State of the World
Its Driven Data
Netflix
Education Resource Strategies
Example Data
Data Science Competition
Logistic Regression
Bag of Words
Punctuation
Split
Bygrams and Trigrams
Hashing Trick
Interaction Terms
Polynomial Features
Different Kinds of Data
Building Ensembles
What can I do
Competition
Other Competitions
Other Ways to Get Involved
Find a Nonprofit
Demos
Demo
Data
Natural Language
Regression
Visual Inspection
Driven Dataorg