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Past Events in Data Science

2023-2024

 Thursday, October 5th, 4:15 PM- Daniel Russo-Batterham, "Data Science and Liberal Arts, a View from Down Under". Lutnick 232, Haverford College

 

Tuesday, October 24th, 7:30 PM-  Nina Jankowicz, BMC '11, Vice President of Information Resilience, "Information Roadmap 2024: Disinformation, AI and Beyond in the next Election". Old Library 110, with reception to follow

Thursday, October 26th, 4 PM- Marc Schulz, Director of Data Science, "Living a Good Life: Lessons from the Longest Study of Human Flourishing" Carpenter B21, with reception to follow

 

 

 

 

 

 

 

 

 

 

 

 

 

Data Hangout with Ashley Kuelz: Thursday 11/30, 4:00 PM, Bettws y Coed 127.

This event will be an opportunity for Data Science minors and faculty to gather and take a break from classes. There will be refreshments and an interview with Ashley Kuelz, Ph.D., a postdoctoral fellow in Data Science. The Data Science representatives, Pey Straubel and Lucas Miller, will interview Ashley about her journey to data science, her research interests in emotion and family relationships, and what excited her about coming to Bryn Mawr.  They will also ask Ashley about the new Data Science course she is teaching this spring on Frequentist and Bayesian Approaches to Statistics.  

Ethics in Data Science Lecture Series

Lada Kyj, Ph.D., Vanguard: "Ethics in Data Science: New Considerations due to AI" 3/6 at 8:00 PM, Bettws y coed 127

Thomas Davidson, Ph.D.., Rutgers University: "Start Generating: Harnessing Generative AI for Social Scientific Research" 4:00 PM March 22nd, Old Library 224.

Shannon Brick, Ph.D., Georgetown University: "Digital Manipulation and Domination" 4:00 PM April 4th, Old Library 224.

George Fourlas, Ph.D., : "AI, Data, and the Coloniality of Power" 4:30 PM April 15th. Old Library 224.

Leon Yin, Bloomberg. 4:00 PM April 19th, Old Library 224.

2022-2023

Data Science Alumnae Chat

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Data Science and Athletics Talk:
Lucy Rushton: Analysis in Professional Soccer: Putting Theory into Practice to Create Winning Teams 

April 12th, 7:30 PM, Great Hall

 

 

 

 

September 9-17, 2022

Tri-Co students (enrolled at Bryn Mawr, Haverford, or Swarthmore College) may reserve free tickets .

Hosted by the Haverford College Department of Music

October 20-22, 2022

Giorgia Lupi: Data Humanism

October 25th, 4:30 PM. Carpenter Library 21

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2021-2022 

 

Data Science Hangout Series
Chat with Carolina Hausmann-Stabile

Feb. 10, 7 p.m. 

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.

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.

, 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. 

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. 

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

 

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. 

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2020-2021

 
Talk:  May 4 at 6 PM
Race to the Future? Re-imagining the Default Settings of Technology & Society

 

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.

 

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.