Data Science Archives | Civis Analytics

Category Data Science

CivisML: Scikit-Learn at Scale

CivisML: Scikit-Learn at Scale

by Stephen Hoover

Late last year, my colleagues on the Social Science team were working on a new survey weighting scheme that would greatly improve the precision of our public opinion data. To make it work, they needed to fit dozens of models for each completed survey. Each survey asks multiple questions, each of which would need to be modeled individually, using an...

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Putting the Power of Campaign Targeting in Your Hands: VoteWithMe

Putting the Power of Campaign Targeting in Your Hands: VoteWithMe

by David Shor

A few weeks ago, I was canvassing in New Hampshire to knock on the doors of strangers and ask them to make a plan to vote. See – I’m a data scientist, and I don’t know what you know about data scientists, but we’re not the most extroverted creatures. That’s when I had the idea, “How much more effective would...

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Civis at PyData Chicago 2016

Civis at PyData Chicago 2016

by Michael Heilman

Data science is an interdisciplinary endeavor. It requires a variety of technical knowledge, from computer science to statistics to data visualization. While conferences are a great way to gain such knowledge, many conferences focus only on particular aspects of data science (e.g., NIPS for machine learning, or PyCon for Python programming), and so one would have to go to several...

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In first debate, Clinton – ‘Professional’, Trump – ‘Bully’

In first debate, Clinton – ‘Professional’, Trump – ‘Bully’

by Nick Ahamed

Last Monday night, more Americans than ever before tuned in to watch the first presidential debate, and we at Civis did too. And while we were as interested in the back-and-forth between Clinton and Trump as anyone, we were most excited to see voters’ reactions in the following days. That’s when we turned to our social science team to field...

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Interpreting and Visualizing Neural Networks for Text Processing

Interpreting and Visualizing Neural Networks for Text Processing

by Michael Heilman

This post was written by Melissa Roemmele. It highlights a project she worked on during her internship with the Data Science R&D department in Summer 2016. Introduction Neural networks have become the go-to approach for text processing tasks, but they are also notorious for their obscurity. Recently, we applied a neural network to the task of predicting numerical ratings for...

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A Data Scientist’s View into the Cancer Moonshot Project: Part 3, Data Sharing

A Data Scientist’s View into the Cancer Moonshot Project: Part 3, Data Sharing

by Ola Topczewska

Over the past few months, a team at Civis led by our CEO, Dan Wagner, has worked on researching and writing a report for Vice President Biden’s Cancer Moonshot Initiative. In this report, we analyzed how cancer research might benefit from better use of data and analytics and provided recommendations around three topic areas: Data infrastructure Data sharing People and...

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A Data Scientist’s View into the Cancer Moonshot Project: Part 2, Data Sharing

A Data Scientist’s View into the Cancer Moonshot Project: Part 2, Data Sharing

by Katie Malone

Over the past few months, we worked on a project that’s a little different from our usual work: researching and writing a report for Vice President Biden’s Cancer Moonshot Initiative. In this report, we analyzed how cancer research might benefit from better use of data and analytics. Our recommendations were organized around three major themes: What kind of computational infrastructure...

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A Data Scientist’s View into the Cancer Moonshot Project: Part 1, Data Infrastructure

A Data Scientist’s View into the Cancer Moonshot Project: Part 1, Data Infrastructure

by Katie Malone

Working at Civis, I’m able to use my PhD both on data science research and development and real world problems. Recently, I teamed up with my colleagues, including our CEO, Dan Wagner, to provide data recommendations for Vice President Biden’s Cancer Moonshot initiative (you can read Dan’s thoughts here). Our efforts resulted in a full report that was presented at...

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