Past Events

Alma Mater

Monday, June 25, 2018 - 11:00am to 12:00pm
United States

Speaker: Dr. Martha Symko-Davies, Laboratory Program Manager, Energy Systems Integration (ESI), National Renewable Energy Laboratory (NREL)

Thursday, May 3, 2018 (All day) to Friday, May 4, 2018 (All day)
United States

Data Science Conference & Expo

Accelerate your data science knowledge, training, and network.
All in one event.

Friday, April 27, 2018 - 12:00pm to 1:30pm
Columbia University
New York, NY 10027
United States

Data-empowered algorithms filter and amplify our choices and are thereby increasingly shaping our professional, political, and personal realities.

Wednesday, April 25, 2018 - 5:30pm to 7:30pm
United States

May 25th 2018 will be an important date for data science. On this day, Europe will start enforcing the General Data Protection Regulation (GDPR), possibly the most important data regulation in the last 20 years.

Tuesday, April 24, 2018 - 4:00pm to 5:00pm
Schapiro Hall (CEPSR) Davis Auditorium
Columbia University
New York, NY 10027
United States

Jeannette M. Wing is Avanessians Director of the Data Science Institute and Professor of Computer Science at Columbia University.

Tuesday, April 24, 2018 - 4:00pm to 5:00pm
United States

Data for Good: Data Science at Columbia

Friday, April 20, 2018 - 12:00pm to 1:30pm
Columbia University
New York, NY 10027
United States

Simple Rules for Decision-Making

Friday, April 20, 2018 - 9:00am to 5:00pm
United States

The Data Science Institute (DSI) at Columbia University and Bloomberg are pleased to announce a workshop on "Machine Learning in Finance".

Tuesday, April 17, 2018 - 4:00pm to 5:30pm
Columbia University
New York, NY 10025
United States

Graph based event detection in streams: the twitter case.

Due to its instantaneous nature, Twitter has been established as a major communication medium. Among others, people use the service to report latest news and to comment about real-world events. Users show particular interest in social events such as large parties, political campaigns and sporting events but also for emergency events such as natural disasters and terrorist attacks. Automated and real-time event detection in this case is an interesting challenge. We present our work on this topic capitalizing on modeling the stream as an evolving graph of words and then based on its evolution patterns detecting events. To identify important moments the system detects rapid changes in the graphs’ edge weights using a convex optimization formulation. Then we need to summarize the event in the best feasible way. We present a method that generates real-time summaries of events using only posts collected from Twitter. The system then extracts a few tweets that best describe the chain of interesting occurrences in the event using a greedy algorithm that maximizes a non-decreasing sub-modular function. Through extensive experiments on real-world sporting events, we show that the proposed system can effectively capture the sub-events, and that it clearly outperforms the dominant sub-event detection method.

Friday, April 13, 2018 - 12:00pm to 1:30pm
Columbia University
New York, NY 10027
United States

Peter K. Bol
Vice Provost for Advances in Learning
Charles H. Carswell Professor of East Asian Languages and Civilizations
Harvard University

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