MIT Institutional Research - Serving the Academic Community with Data Analysis
Discover the history and functions of MIT Institutional Research, providing data analysis services to support academic decision-making. Learn about key staff members, projects, and principles guiding their work at MIT.
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Presentation Transcript
MIT Institutional Research AKA the Office of Incidental Information
Lydia Snover, Director Jon Schwarz, Assistant Director Sonia Liou, Assistant Director Jon Daries, Senior Project Manager (Portland, OR) Greg Harris, Senior Project Manager (Gainesville, FL) Shirley Wong, Senior Project Administrator Kate Doria, Senior Research Analyst Michael Ferguson, Senior Research Analyst Huey Chan, Senior Database Analyst Abdou Seck, Database Analyst Ayn Cavicchi, Project Manager Benjamin Mintz, Research Analyst Drew Bell, Research Analyst Graduate Student Interns Staff
1986 - Institutional Research Capacity added to Planning Office to assist with Physical Planning Projects with 1 FTE 1989 - Committee on Family and Work surveyed MIT population IR provides Staff Support 1990 s External Surveys completed by IR 1990 s IR begins development of VC Briefing Documents 1999 - A Study on the Status of Women Faculty in Science at MIT 2000 IR became part of the Office of the Provost and relocated from Building 12 to Building 11 in 2001 Brief History 2002 - Undergraduate Consortium Surveys moved from DUE to IR of 2005 - Faculty Recruiting Reporting assigned to IR Institutional Research at 2006 - Graduate Student Admissions reporting moved from Admissions to IR 2007 - Survey Service moved from IS & T to IR 2009 - Faculty Salary and tenure and promotion analysis assigned to IR MIT 2010 - Briefing Book transferred to IR 2012 - The AAU Data Warehouse moved from IS & T to IR 2013 IR takes on support of ABET for Engineering 2014 - Director of IR becomes Trustee of MITx Data 2018 - Qualitative Function added to IR
Collaboration Transparency Consistency Accuracy Context Confidentiality Supporting all members of the community Operating Principles
Collect Data Organize Data Analyze Data What we do and who do we do it for Indirect Data Governance Primary Client is the Academic Side of the House with focus on Department Heads
Draw conclusions We provide analysis that will allow others (department heads, Senior Officers) committees, taskforce, etc. to decide what the data means Instead we provide observations and statistical significance Make Recommendations Write Reports IR doesn t have a point of view What we don t do
People, Money and Space MIT Data Warehouse MIT s Systems of Record HR, CAO, Registrar, space accounting IR has some data from the beginning , WWII Surveys Undergraduate surveys Consortium Graduate Faculty and Staff Alumni Others New Qualitative Function - Interviews and Focus Groups Web Applications Electronic Professional Record epr.mit.edu Outcomes.mit.edu (SOE / ABET) Peer Schools Federal Government External Vendors Academic Analytics Ranking organizations Collect Data
Excel Oracle Databases Google BigQuery ETL Processes Tableau (Visualization/Reporting Tool) Organizing Data
Program Review Visiting Committees Briefing Documents MindHandHeart Reports (NEW) Departments, Committees, Task Forces (COC working groups, Graduate Tuition Taskforce) Government Reporting / Compliance Department of Education National Science Foundation Town Gown Consortium Data Exchanges Ranking Organizations HEOA Required posting Using Data
Web Page ir.mit.edu Public data Results of surveys Common Data Set Diversity Dashboard Graduate Education Statistics Collaboration.mit.edu Access controlled Tableau Reports Comparison Reports companion tables for Profiles Survey results at the department level Research Expenditures Rankings Providing Data to the Community MIT is committed to Transparency
Department Profile 10 years of data from MIT s Systems of Record Strategic Indicators comparing to other departments at MIT and at other universities Student Assessment and Outcomes Visiting Committee Briefing Documents Special Analysis requested by Departments
Faculty Age Distribution
Articles published by Faculty in Physics Departments with Doctorates from MIT compared to all Faculty in Physics Departments
Using data from Chemical Engineering as an example, we can see that MIT PhD graduates are significantly more productive during their peak years than their peers
Analyzing Data Context
