The Institute of Quantitative Social Science

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Presentation transcript:

The Institute of Quantitative Social Science Gary King

The Social Science Data Revolution The Last 50 Years: Survey research Aggregate government statistics In depth studies of individual places, people, or events The Next 50 Years: Spectacular changes due to. . . Much more of the above Shrinking computers & the growing Internet Analogue-to-digital transformation of government records The replication movement: academic data sharing (e.g., Dataverse) Advances in methods The march of quantification: through academia, professions, government, & commerce (MoneyBall, SuperCrunchers, The Numerati) The end of the quantitative-qualitative divide: Diverse perspectives remain but, with text, video, field notes etc. as data, We now all benefit from the same technologies Advantages of collaboration are growing

IQSS Social scientists need vastly improved infrastructure. Harvard’s response: IQSS -- a hybrid organization A traditional research center: facilitating research Part of the Harvard administration: building infrastructure (Synergies: turn administrative issues into quasi-research projects)

Need Bigger, Faster Computers than you can afford? IQSS Research Computing Environment (RCE): > 1300 shared computing cores 450 active users A persistent environment, sign on from anywhere Growing via collaborative research project (with Harvard CTO Jim Waldo and SEAS) to extend our platform to the Amazon cloud

Consulting and Training Short courses: R, Stata, SAS, Numeric Data Resources, Atlas.ti, GIS, & many IQSS technologies Research consulting: one-on-one help with data management and analysis Survey Consulting: help with question wording, sampling, analysis, nonstandard data collection Recently (re)grown with help from FAS

OpenScholar: Faculty & Student Web sites > 800 scholar sites, including 300 by faculty > 120 project sites Free at scholar.harvard.edu ($5-20K saved per site) Installation at > 50 other Universities Growing via collaboration (with HUIT and HPAC) to extend OpenScholar to department sites

Dataverse Network Your own easy-to-use virtual archive Our installation: ~ 1000 dataverses, 41,000 studies, 671,000 files > 15 installations in other Universities Growing via collaboration (with the Harvard Library) to expand infrastructure for diverse projects across humanities, social sciences, & sciences

Zelig: Everyone’s Statistical Software Easy, standardized solution to R’s power and diversity ≈100 statistical methods in common format > 100,000 users worldwide (Optional GUI through Dataverse, no R knowledge required) Large network effects: students learning from each other Growing via (open source) contributions

Program on Automated Text Analysis “Computer-assisted reading”, a new way to organize and make sense of huge amounts of unstructured text. Advising with existing approaches available now New approaches under development, for public use in 2012 21 September 2018

Grants Administration 37 active grants 30 – 40 proposals submitted annually Pre- and post-award support Working closely with department staff Social scientists from FAS and other schools come for help & stay to interact on research & teachng

IQSS Activities Build a Community of Scholars Administrative Services Support for PIs, Programs and Centers Sponsored Research Administration Technology Services Research and Technology Consultants Technical Training Research Computing Environment (RCE) Repository for Social Science Data (Dataverse) Faculty Web Sites (OpenScholar) Research/Affiliated Programs Center for Geographic Analysis Program on Survey Research Program on Text Research RWJS in Health Policy Research Positive Political Economy Data Privacy Lab Workshops and Conferences Program on Methods Community & Collaboration Technology Development OpenScholar Dataverse Network Zelig Text Clustering Tool Research Computing