The QAI sponsors and supports a variety of on-campus events.

Please let us know if you have any ideas for events! 

1. Upcoming Events at Wellesley

2. Past Events at Wellesley

Upcoming Events at Wellesley

Math Department Colloquium

Professor Mitch Keller will give a colloquium. More details will be updated.

Date: Tuesday, October 24th, 12:30 pm - 1:30 pm

Place: SCI-396

 

2017 Electronic Undergraduate Statistics Research Conference

The QAI will be hosting a viewing event for the Electronic Undergraduate Statistics Research Conference. The virtual conference will showcase presentations on statistics projects, panel discussions on graduate schools, careers and diversity in the field, and a keynote address by David Robinson, a Data Scientist from Stack Overflow. For more information on the event, please visit its official website. 

The QAI will be organizing a live viewing of the Electronic Conference, with details below:

Date: Friday, November 3rd, 1:30 pm- 4:00pm

Place: LWC-413

Full Schedule:

12:00 - 1:30 pm: Plenary Talks by USPROC Award Winners (Undergraduate Students)

1:30 - 2:15 pm: Keynote Address by David Robinson, Data Scientist, Stack Overflow

2:15 - 3:00 pm: Virtual Video Presentation Session

3:00 - 5:00 pm: Professional Development Panels

3:00 - 3:35 pm - Graduate School Panel

3:40 - 4:15 pm - Careers in Industry Panel

4:20 - 5:00 pm - Diversity in Statistics Panel

 

If you would like to individually register to view the event, please register here on the official site.

 

 

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Past Events at Wellesley

Math Department Colloquium

 

Professor Amy Wagaman of Amherst College will give a colloquium titled "Making Decisions with Data Relevant to You".

Date: Tuesday, October 3rd, 12:30 pm - 1:30 pm

Place: SCI-396

 

Digital Scholarship Day

Please also join us for Digital Scholarship Day, a celebration of innovative technologies and methods used by the Wellesley College community.

Date: Tuesday, March 21st (Showcase: 3 - 4:15 pm, Demo: 4:15 - 5:30 pm)

Place: Pendleton Atrium

 

Mathematics Colloquium: Rating the Chess Rating System

Mark E. Glickman, Department of Statistics, Harvard University

Date: Tuesday, February 21st 

Abstract: The introduction of chess rating systems may have done more to popularize tournament chess than any other single factor. A chess rating is a numerical measure of a player's ability, and is obtained through the results of competition in tournaments. Chess rating systems are used for many purposes, including determining prize eligibility in tournaments, pairing players in a tournament, and predicting game results given two players' ratings. In the 1950s, Arpad Elo developed the theory of the rating system that still serves as the basis of the Chess Federation of Canada, U.S. Chess, and the World Chess Federation. In this talk, we describe Elo's rating algorithm, present features of the rating system, and examine its accuracy in predicting game outcomes. After identifying a particular deficiency in the Elo system, we demonstrate the development of an improvement that accounts for the reliability of ratings, and discuss its consequences on a rating system.

 

 

QR Connections Panel: QR & Humanities

QR department in collaboration with Professor Cassandra Pattanayak, Professor Octavio Gonzalez, Professor Helene Bilis, Joanna Milton '16, Katharine Liang '17

Date: Tuesday, March 7th

 

 
 

QR 260 Applied Data Analysis Final Project Poster Presentation

Students from QR260 presented their research and analysis, using concepts they have learned in class, on applicable topics of their choosing.

Date: Wednesday, December 7th 2016

 

"Bias and Beyond: The 2016 Election" Teach-In

The Teach-In is led by four faculty members, Cassandra Pattanayak, Eni Mustafaraj, Angela Bahns, and Nicholas Knouf. A full news article on the campus-wide event can be found here.

Date: Friday, November 18th 2016

 

Electronic Undergraduate Statistics Conference 2016

The 2016 Electronic Undergraduate Statistics Research Conference is the second annual e-conference on undergraduate statistics research. It includes plenary presentations by USPROC student award winners, virtual poster presentations by undergraduate statistics students, a keynote addresses by Rob Gould, a professional development panel on careers in statistics, and a virtual exhibit hall with graduate program representatives.

Date: Friday, October 21st 2016

 

Surveillance database design recommendations from a study of late-onset GBS

Guest Lecture in QR 309 with Kristen Hunter

1:30pm-2:40pm PNE 339 on Fri, Apr 29th

Statistical Data Analyst, Texas Legislative Council
Data Scientist, Software Engineer, Civitas Learning Inc.

 

Why Do People Border Cross? Conceiving Children Through Gametes and Their Importance in Families

Ruhlman Conference Short Talks Building Families 

Jamie Yang ’17, Mathematics

Advisor: Rosanna Hertz, Women’s and Gender Studies

9:30-10:40am SCI 256 on Wed, Apr 27th 

 

As many countries have restrictions on gamete donations and surrogate practices, border crossing for fertility treatments is rising. The poster will answer questions related to regulations and political attitudes by gender and citizenship: What are individuals’ reasons and politics behind border crossing and fertility treatments? Prior to and after conception, how do the Why Do People Border Cross?

 

A Quantitative Approach to 17th-Century French Theater

Ruhlman Conference Poster Session

Joanna G. Milton '16, Biological Sciences

Advisor: Cassandra W. Pattanayak, Quantitative Analysis Institute

Collaborators: Hélène E. Bilis, French; Jenifer J. Bartle, Digital Scholarship Initiative; Elizabeth M. Loxterkamp '18, French

1:30pm-2:40pm Science Center Focus Area on Wed, Apr 27th

 

What can a statistical lens reveal about 17th-century French plays vying for spots in the French canon? This collaborative project applies statistical and visualization tools to provide new insights about structure within and across plays. By quantifying patterns of speech, such as calculating the proportion of a play spoken by each character, we can categorize character types and visualize changes in character use across an author’s career. The frequency at which a specific character’s name is mentioned by other characters measures the importance of a character within the play, and we can compare this measure across plays for characters in similar roles. These and other quantitative summaries can provide insight into the reasons that some plays joined the literary canon and others did not, especially when rival playwrights used parallel plots. This project demonstrates the potential power of connections between humanistic and quantitative methods.

 

American Statistical Association (ASA) DataFest with BOW Collaboration (website, flyer)

> Quantitative Analysis Institute, Fri to Sun, Apr 1-3, 2016

 

Casey Pattanayak (QAI) - Teaching Big Data in the Liberal Arts Context

Helene Bilis (French), Elizabeth Loxterkamp '18, and Joanna Milton '16 - Statistical Analysis of 17th Century French Drama

Kily Wong '16 (QAI) - Online Resources for Learning SQL, through the Quantitative Analysis Institute

> Library and Technology, Digital Scholarship Day (flyer), Tue, Mar 8, 2016

 

Telling Compelling Stories with Data (flyer)

> Quantitative Reasoning, Tue, Mar 1, 2016

 

AALAC Big Data Conference (info)

> Quantitative Analysis Institute, Wed to Fri, Jan 13-15, 2015

 

QR260 Poster Session (flyer) 

> Quantitative Analysis Institute, Thu, Dec 3, 2015

 

Statistics and the Search for Causality (video)

> Family and Friends Weekend, Faculty Lecture, Sat, Sep 26, 2015

 

Introduction to SPSS (info)

> Quantitative Analysis Institute, Workshop, Tue, Jun 23, 2015

 

Hands-on GIS Workshop (info)

> Carolin Ferwerda, Library and Technology, Workshop, Thu, Jun 18, 2015 

 
Introduction to Stata (info)

> Carolin Ferwerda, Library and Technology, Workshop, Tue, Jun 16, 2015 

 

Role of Hypothesis Testing in Empirical Work 

Discussion of BASP p-value ban and related ideas

> Social Science Faculty Seminar (SSFS), Mon, May 18, 2015 

 

Casey Pattanayak (QAI) - Quantitative Analysis Institute Wintersession course 

Megan Chen '17 (Guthman Intern) - Visualizing MOOC data

Carolin Ferwerda (LTS) - Blended labs in Econ 103

Tavi Gonzalez (English) - Statistical analysis-enabled distant reading of Ishiguro's Never Let Me Go

> Library and Technology, Digital Scholarship Day, Tue, Apr 14, 2015 (flyer)

 

Three Sides of the Same Coin: Teaching, Research, and Learning (info)

Xiao Li-Meng, Harvard University

> Pforzheimer Learning and Teaching Center, Anna & Samuel Pinanski Lecture, Wed, Apr 8, 2015

 

Q&A Session with Xiao Li-Meng (info)

> Quantitative Analysis Institute, Q&A Session, Wed, Apr 8, 2015

 

R Workshop Pilot for Faculty

> Quantitative Analysis Institute, Faculty Workshop, Tues, Jun 24, 2014

 

Propensity Score Matching (info)

> Quantitative Analysis Institute, Discussion, Mon, May 19, 2014

 

Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment and Missing Data (info)

Donald B. Rubin, Harvard University

> Quantitative Analysis Institute, Lecture, Thu, Apr 17, 2014

 

What Difference Does a Lawyer Make? Randomized Evaluations of Legal Aid? (info)

> Economic Student Association, Faculty Lunch Lecture, Thurs, Apr 17, 2014

 

Casey Pattanayak (QAI) - Causal Inference Framework

Diana Schron '14 - Causal Inference in a Partially Randomized Preference Trial with Small Samples

Sophie Sun '14 & Julia Chmyz '17 - Statistical Consulting at the QAI

> Library and Technology, Digital Scholarship Day, Tue, Apr 15, 2014 (info) 

 

One Embryo or Two for In Vitro Fertilization? Assessing causation without randomization (info)

> Math Department, Colloquium, Wed, Nov 6, 2013

 

A Potential Outcomes, and Typically More Powerful, Alternative to "Cochran-Mantel-Haenszel" 

> Economics Department, Brown Bag Lunch Seminar, Thu, Oct 31, 2013

 

Quantitative Analysis in the Classroom: Statistics workshops targeted at your course (info)

> Pforzheimer Learning and Teaching Center Talk, Mon, Oct 21, 2013

 

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