The QAI is now hiring for summer and fall 2019! Please see the opportunities page for details.
Kristen B.Hunter spoke on Fri 4/20 in STAT 309 on "negative control variables"
QAI hosted its first QAI lunch in spring 2019. Stephanie Song and Cynthia Chen presented their research.
The QAI is hiring summer interns.
The annual QAI poster session would be held on Tuesday, May 7th during community time (4:10-5:30pm). Please check this page later for an update on location.
The QAI hosted a viewing event for the Electronic Undergraduate Statistics Research Conference. The virtual conference showcased 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.
The QAI hosted an information session for students interested in taking STAT courses in Spring 2019. The STAT courses offered in the spring include STAT 309 Causal Inference, STAT 228 Multivariable Statistical Analysis, and STAT 218 Introductory Statistics and Data Analysis, STAT 101 Reasoning With Data: Elementary Applied Statistics, and STAT 220 Probability.
The QAI is now hirng for 2018! New this year: QAI Internships supporting a collaboration between the QAI and the Bayer Pharmaceutical.
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
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
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.
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
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
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
> 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
> Carolin Ferwerda, Library and Technology, Workshop, Tue, Jun 16, 2015
Role of Hypothesis Testing in Empirical Work
> Social Science Faculty Seminar (SSFS), Mon, May 18, 2015
Megan Chen '17 (Guthman Intern) - Visualizing MOOC data
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
> 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)