Authors for Open Data and Technology II: Being a Data Skeptic & Doing Data Sci

$5 is collected for Food. Pizza will be served.

6:15pm: Doors Open for pizza and casual networking

7:00pm: Workshop begins

8:30pm: Audience Q&A

Intro: This talk will focus on the current scope and dangers of data science.

Bio: Cathy O'Neil was a mathematician at some point, then she became a quant, and now she's a data scientist, blogger, and activist. She recently wrote a

free e-book (http://www.oreilly.com/data/free/being-a-data-skeptic.csp) and co-wrote a textbook (http://shop.oreilly.com/product/0636920028529.do) for O'Reilly and will discuss both.

Preparation: Feel free to read Cathy's O'Reilly publications (http://www.oreilly.com/pub/au/5906) ,as well as her mathbabe blog (http://mathbabe.org/), especially stuff tagged with "data science" (http://mathbabe.org/category/data-science/).

Agenda: Cathy will talk about things that data scientists should be paying more attention to, including various biases, normalization mistakes, and specific civil rights issues that are resurfacing due to things like online credit scoring that use social network information.

Content: At times Cathy's talk will assume the audience knows how algorithms work, at other times she won't. Anyone who has thought about algorithms and their widespread effects should get something out of this discussion. Cathy is very much looking forward to provocative questions at the end, or even during her presentation.