Past Events

Past Events in Data Science

2021-2022 

 

Data Science Hangout Series
Chat with Carolina Hausmann-Stabile

Feb. 10, 7 p.m. 

Alberto Cairo, Knight Chair in Visual Journalism at the School of Communication of the University of Miami
"Data visualization: What you design isn't what people see "

Talk: February 21st, 7 PM. Via Zoom.

Alberto Cairo, Knight Chair in Visual Journalism at the School of Communication of the University of Miami

"Decisions in Visualization Design" Workshop

March 21st, 4:30 PM. Via Zoom. Attendance is limited, preference will be given to those who sign up by February 28th.

Paul Offit, Professor of Pediatrics at Penn

"Stopping the COVID-19 Pandemic: Where Do We Stand?" Talk: March 31, 7 PM in Dalton 300. 

Dr. Offitt is a leading authority on vaccines, immunology and virology. He is a member of the National Institutes of Health (NIH) working group on vaccines and has advised the CDC on immunization practices. 

WiDS virtual conference

April 4th, 9 AM - 3:30 PM. Virtual.  A day of great talks and discussion about data science that will include Bryn Mawr faculty and students.  Click Here to Register

Richard Freedman, Ph.D., Professor of Music and John C.  Whitehead ’43 Professor of Humanities, Haverford College

“Music and Data Science:  What can we teach machines about music?” Talk: April 7, 7 PM. Park Science 245


Music, according to the ancient Roman statesman and philosopher Severinus Boethius, was “number in sound.”  Indeed, the affinities of music and mathematics are almost everywhere we look (and listen), from systems of tuning to the rules of counterpoint and harmony.  But in the last several years the burgeoning world of digital musical scholarship has opened some important ways for us to reflect on music as data—how we can encode it, analyze it, and interrogate it in novel ways.  For these modes of inquiry to be meaningful, however, we will first need to pose a more basic question:  what, exactly, can we hope to teach a machine about music?

 Grace Hopper Virtual Conference Opportunity

 

image of the grace hopper conference logo

Monday, September 27 - Friday, October 1, 2021

Marye Cruz '22

"Gender Patterns & Testing Site Variability in Regular Driving Test Compared to Virtual Driving Test"
Talk: Wednesday, September 29, 2021 at 7PM. Park 245 or on Zoom.

Trang Doung '22

"Measuring the Effectiveness of Vietnam's Covid-19 response Policies using Mathematical Modeling"
Talk: Wednesday, September 22, 2021 at 7PM. Park 338 or on Zoom. 

2020-2021

Ruha Benjamin, Ph.D.  
Talk:  May 4 at 6 PM
Race to the Future? Re-imagining the Default Settings of Technology & Society

 

photo of Professor Ruha Benjamin

From everyday apps to complex algorithms, technology has the potential to hide, speed, and deepen discrimination, while appearing neutral and even benevolent when compared to racist practices of a previous era. In this talk, Ruha Benjamin presents the concept of the “New Jim Code” to explore a range of discriminatory designs that encode inequity: by explicitly amplifying racial hierarchies, by ignoring but thereby replicating social divisions, or by aiming to fix racial bias but ultimately doing quite the opposite. This presentation takes us into the world of biased bots, altruistic algorithms, and their many entanglements, and provides conceptual tools to decode tech promises with historical and sociological insight. She will also consider how race is a tool designed to stratify and sanctify social injustice and discuss how technology is and can be used toward liberatory ends. In doing so, Ruha challenges us to question not only the technologies we are sold, but also the ones we manufacture ourselves.

 

Gauging Political Communication with Social Media Data: Research Frontier, Tools, and Caveats Online

Dr. Haohan Chen

 

photo of Dr. Haohan Chen

Postdoctoral Fellow, Center for Social Media and Politics, New York University
Assistant Professor, Politics & Public Administration. University of Hong Kong

  • April 28, 2021
  • 4:15pm - 5:30pm

Social media data help political scientists and policymakers understand the behavioral patterns of political communication. Consider these questions: How do citizens in authoritarian countries face censorship and perform self-censorship? How and why does the American public have a growing dislike or distrust of people from the other party? How does the public update their beliefs about COVID-19 in response to elite pronouncement and media reports? In his talk, Dr. Chen will introduce how social media data, empowered by data science toolkits, can help gauge political communication. The talk will consist of two parts. The first part introduces Dr. Chen’s research projects on self-censorship and political polarization with social media data. The second part introduces tools to collect and analyze social media data for opinion studies, with a critical evaluation of their limitations and best practices.

Hosted by the Center for Social Sciences and the Data Science Program.

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Contact Us

Data Science

Marc Schulz
Director of Data Science
Professor of Psychology
mschulz@brynmawr.edu
610-526-5039

Nina Fichera
Administrative Support Staff
nfichera@brynmawr.edu