This page lists courses on qualitative methods at Harvard and other local universities.    The courses are not offered every semester, so check course catalogs for availability. We invite you to contact instructors to determine if they accept students from outside their department or school.  Also, please contact your Director of Graduate Studies to determine if you can receive Harvard credit for non-Harvard courses.

    U = Primarily for undergraduates        G = Primarily for graduate students

    General Methods


    This page lists faculty who have expertise or interests in developing qualitative methods resources.  If you are a faculty member with interests in qualitative methods, please email the web administrator so that we may add you to the list.

    Web Administrator

    Pendergrass, Sabrina (email)
    Ph.D. Alumnus of the Department of Sociology, Harvard University

    Update on Research Computing in the Social Sciences, Discovery Phase

    December 18, 2009

    In October Deans Smith and Kosslyn announced the creation of a new group, Research Computing for the Social Sciences (RCSS). This entity, which is being created and managed by IQSS in close collaboration with FAS IT, has been charged with improving the delivery and support of research technology in the Social Sciences. We have been hard at work over the past few months and I wanted to take a moment to update you on our progress.

    Related Departments, Centers, & Museums


    • African and African-American Studies
    • Anthropology
    • Economics
    • Government
    • History
    • History of Science
    • Psychology
    • Sociology


    • Social Studies
    • Women, Gender and Sexuality


    • Museum of Historical Scientific Instruments
    • Peabody Museum of Archaeology and Ethnology

    Research Centers, Institutes and Programs

    • Asia Center
    • Center for American Political Studies
    • Center for European …

    Background & Process

    Technology plays an ever increasing role in social science research. Historically, however, an uneven technology environment has existed within the FAS Social Science Division. Some departments have had real IT budgets and multiple technicians in-house, while others have had few resources and relied solely on centralized support. During our difficult budget season last year, nearly everyone was forced to reduce their computing resources to some extent.

    Initial Announcement

    October 6, 2009

    Dear Social Science Department Chairs and Center Directors:

    I write today to notify you that we will consolidate research computing for the Division of Social Sciences into one group named Research Computing for the Social Sciences (RCSS). This group will report up through the Director of IQSS to the Dean of the Division of Social Science, and it will leverage the basic services provided by FAS IT. We will bootstrap RCSS by taking advantage of the extensive technical services and specialized support already available in IQSS.

    Visiting Faculty

    Leading scholars from around the world working on applied economics and policy issues visit LEAP to work in residence at the Harvard Economics Dept. for one or two semesters in close collaboration with Harvard faculty and students. These visitors offer three week mini-courses related to their current research focus, keeping LEAP faculty and students at the frontier of methods and knowledge in economics.


    Professor Jonathan Skinner
    Dartmouth University [Fall]

    Professor Douglas Staiger
    Dartmouth University [Spring]

    Sample Tile

    "Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum." "Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.


    The statistical analysis of text is a requirement in almost all academic disciplines: medical re- searchers need smart search algorithms to find reported links between genes; political scientists use parliamentary speeches to assess the ideological positions of representatives; historians wish to know who wrote the Federalist Papers that are of disputed authorship; linguists seek automatic translation algorithms for non-English texts.