Tag Archives: big data

A University Lecture on Mathematics, Data Science, Finance, and Public Life

CathyONeilPoster-page-001Economics Professor Abigail Hornstein writes in:

Cathy O’Neil earned a Ph.D. in mathematics from Harvard University, was a post-doc at the Massachusetts Institute of Technology Mathematics Department, and was a professor at Barnard College, where she published a number of research papers in arithmetic algebraic geometry. She then switched over to the private sector, working as a quant for the hedge fund D. E. Shaw in the middle of the credit crisis, and next for RiskMetrics, a software company that assesses risk for the holdings of hedge funds and banks. She left finance in 2011 and started working as a data scientist in the New York start-up scene; she then launched the Lede Program in Data Journalism at Columbia in 2014. O’Neil is a weekly guest on the Slate Money podcast. She co-wrote the book Doing Data Science (2013) and is the author of a new book, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Random House, September 2016), about the dark side of big data.

Please contact the organizers with any questions: David Constantine (math), Abigail Hornstein (economics), and Chris Rasmussen (math)

Date: Thursday, April 21
Time: 8-9 PM
Place: Ring Family Performing Arts Hall (CFA)

How to see 300 million images? Exploring Large Cultural Data to Unlearn What We Know

An very urgent message from Jamie “best man on Facebook” Hall ’15

This Friday at 3PM in Russell House Lev Manovich, one of the shrewdest commentators and analysts of the digital age and an innovative designer of software, will present a talk entitled, “How to see 300 million images? Exploring Large Cultural Data to Unlearn What We Know.”

Manovich has pioneered the field of cultural analytics and the visualisation of large sets of data. His work has thought hard about the ways to design software and thereby configure and understand the humanities through computational and novel digital methods. His training and work in computer science—his current department psychology, art, digital cinema, and media history have been innovative, admirably free of the typical preconceptions, and consistently intriguing.

It’s sure to be dope

Time: Friday eleven/seven from 3-4:15 pm
Place: Russell House
Cost: 0.00

New Course: COMP 360, COMP260/QAC260 – Applications due May 31


The famous Manolis Kaparakis sends me information about a crazy new course going up this fall under the designation of COMP 360, COMP260/QAC260 and called “Special Topics in Computer Science (“Big Data” Analysis),” taught by Professor Norman Danner.

Next semester (Fall 2013), Computer Science will be offering a special course on data analysis (COMP 260), in which students from non-computing disciplines will team up with Computer Science students (COMP360) to work on a research problem that requires significant data analysis.