Workshops and Training

Joining the Data Revolution: Big Data in Education and Social Science Research

IRIS held a week-long workshop in June 2020 focused on how to leverage big data resources and tools to advance your education and social science (ESS) research. We held the workshop via video because of the COVID pandemic.

 This was an introductory-level course aimed at researchers in education and social science fields who are interested in gaining experience working with large-scale restricted-use data. No prior experience in quantitative data analysis was required. Datasets on topics including post-secondary educational opportunities, employment outcomes, and the makeup of research teams were featured in the workshop.

 In this hands-on class, participants learned about large-scale datasets with the goal of achieving a better understanding of the research questions that can be answered with big data. Participants acquired skills that will enable them to pursue external funding for ESS research using big data. In addition to technical skills, participants worked with established investigators to develop and present ideas for projects that might be submitted to NSF grant competitions.

Supported by the NSF as part of its Harnessing the Data Revolution “Big Idea,” the IRIS workshop is designed to help investigators from a wide range of backgrounds and disciplines acquire the tools and knowledge to secure grant funding for data-driven social science and education research.

Click for course syllabus

Participants were required to have a PhD or achieved candidacy in an applicable field (i.e., education, higher education, economics, sociology or related fields). There were no requirements for technical skills, although attendees were expected to complete some pre-workshop training.

This workshop is supported by the National Science Foundation, Education and Human Resources Division, grant # 1937251 “Building Big Data Capacity for Education and Social Science Research Communities Using Restricted Administrative Data.


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