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Friday, March 8, 2019

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Great Women at Columbia: Panel Discussion

Great Women at Columbia: Panel Discussion

March 08, 2019
Friday, March 8, 2019 6:00 PM - 8:00 PM


The Forum at Columbia University ,605 W. 125th St., New York, NY 10027 Room/Area: Auditorium

Event Type: 

A discussion about factors that may have kept women back historically- periods, HIV, maternal health, gender specific policy-, current forces that include #metoo, #timesup, lean in, the increase in women's political representation, and what the future of equity/equality looks like- if that's not setting the bar too low.

The panel discussion includes: 

Avril Haines, Deputy Director, Columbia World Projects, Lecturer in Law, Adjunct Senior Research Scholar in the Faculty of International and Public Affairs, and the ex-deputy director of the CIA. 

Nancy Reame, Mary Dickey Lindsay Professor Emerita of Disease Prevention and Health Promotion in the Faculty of Nursing, Director of Pilot Studies Core, Irving Institute for Clinical & Translational Research, is a long standing advisor to the iconic Our Bodies, Ourselves, and helped conduct tampon absorbency tests with the FDA after the slew of Toxic Shock Syndrome related deaths in the 70s here in the US. 

Lynn Freedman, Professor Population and Family Health at the Columbia University Medical Center, working with the UN, NGOs and Governments on maternal health in over 50 countries. 

Yasmine Ergas, Director of Specialization of Gender and Public Policy and Lecturer in Discipline in International and Public Affairs, whose previous work has dealt with feminist movements and the social implications of HIV.

Friday, March 8, 2019 6:00 PM - 8:00 PM
Computational Social Science Data for Good Seminar: The Analysis of News Consumption through Co-Exposure Networks

Computational Social Science Data for Good Seminar: The Analysis of News Consumption through Co-Exposure Networks

March 08, 2019
1:00 - 2:30 PM


ISERP Conference Room (IAB 270B) International Affairs Building 270B 420 West 118th St New York, NY, 10027

Event Type: 



The Analysis of News Consumption through Co-Exposure Networks

Sandra González-Bailón

Friday, March 8, 1-2:30pm

ISERP Conference Room (IAB 270B)

Lunch provided | RSVP required

Online platforms are becoming the main source of news for the majority of the population, and yet there is still a lack of comparative evidence analyzing patterns of news consumption across political contexts. In this talk, I will discuss an ongoing project that employs network science tools to uncover aggregate patterns of news consumption and determine whether there is evidence of fragmentation and self-selection across demographic groups and national contexts. The core of the approach consists on analyzing exposure networks where the nodes are news sources and the edges map the number of users co-exposed to those sources. The analysis of these networks allows us to build standardized indicators of exposure to news that we can then compare across countries, demographic groups, and digital platforms – thus offering evidence to test ongoing claims of the effects of digital technologies on access to political information.

Speaker Bio:

Sandra González-Bailón's research areas include network science, data mining, computational tools, and political communication. Her applied research focuses on the analysis of social media, political protests, mobilization dynamics, information diffusion, and news consumption.

Sandra González-Bailón is an Associate Professor at the Annenberg School for Communication, and affiliated faculty at the Warren Center for Network and Data Sciences(link is external). Prior to joining Penn, she was a Research Fellow at the Oxford Internet Institute(link is external) (2008-2013), where she is now a Research Associate(link is external). She completed her doctoral degree in Nuffield College(link is external) (University of Oxford) and her undergraduate studies at the University of Barcelona(link is external). Her research lies at the intersection of network science, data mining, computational tools, and political communication. She leads the research group DiMeNet –acronym for Digital Media, Networks, and Political Communication.

Her book Decoding the Social World(link is external) (MIT Press, December 2017) explains how data science and the analysis of networks help us solve the puzzle of unintended consequences – or why our intentional actions often trigger outcomes that we did not intend or even envision. The key to the puzzle, the book argues, is to integrate different levels of analysis in our theories of social change, something we can do now because of new data and computational tools.

Her most recent project, “Digital News and the Consumption of Information Online” (2017-2020) is funded by the National Science Foundation.


1:00 - 2:30 PM


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