[Researchnews] Summer workshop on big data for education and social science researchers -- applications open

[VCREDadmin]

From: Dan Meisler <dmeisler at umich.edu<mailto:dmeisler at umich.edu>>
Subject: Summer workshop on big data for education and social science researchers -- applications open
Date: March 9, 2022 at 10:32:22 AM PST

Greetings,
I’m writing to call your attention to a workshop we here at the Institute for Research on Innovation and Science (IRIS<https://umich-dot-yamm-track.appspot.com/1cXPBi9tTnD7IWOFEvRKQf0hRN-Ntfcrv04bTP5451OaJE_RvfwGr0TF9Y7ijTSzeEMqSt9LQ6fworp7aoDGvSuM8MhTr58MbZVm0s8Nu2R3HdoM75OaPzacbCVb6uf3agAeG4Hb0>) are putting on this summer for researchers in education and the social sciences looking to expand their skills in big data. Please pass this announcement along to anyone you think might be interested.
thanks,
-Dan Meisler, IRIS

______

Joining the Data Revolution: Big Data in Education and Social Science Research
June 6-17, 2022 | Online workshop

Applications open — April 1 deadline

The Institute for Research on Innovation and Science (IRIS<https://umich-dot-yamm-track.appspot.com/1H9xK-RvlYl_yDv6J_xiP29BOgby6qodM5ph1AmjCXXGLE_RvfwHLD-9MBSHvmyqBL4LxsxXj1HVUBoWy-b15eeTXwVEBcxHnRNnTE9Gs9sOOw152qG4ymrgA7kqtEH-QuOe4bZERnw>) is taking applications for a workshop this summer on using big data resources and tools to advance research in education and social science (ESS). Applications are open, and the deadline to apply is April 1.

This is an introductory-level course for researchers in education and social science fields interested in gaining experience working with large-scale restricted-use data. (View last year’s syllabus here.<https://umich-dot-yamm-track.appspot.com/1-2OuitV3TDP3e4hsnT21TKdlis2iKqH-KKdjVtv5a9qME_RvfwEMnLDOFuWhJ1cfCniL5a1xUjmtq6CRCcM4rYTqb25sgA9CazmwRtx6hwAWUitmWs7hsvt7ggqf7kUHLzN0DjYrsWAfl30x8cpq1osM-RAfHXpzsIyW4tRwZvYTUxQDdnt2JCpwQ74OfUIrLsz5OAqsMRA-Uft236f9ktgOi5XP>) No experience in quantitative data analysis is required, although some pre-workshop reading will be required. Datasets on post-secondary educational opportunities, employment outcomes, and the makeup of research teams will be featured in the workshop.

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

Please visit iris.isr.umich.edu/training<https://umich-dot-yamm-track.appspot.com/1lLUR4PA1t1dyy_odVohJ6ILQwXV_b-YGYvnAOkz4v7-NE_RvfwEi478BvtnT8RR1RVE-8VlyJg1501ICfBvTXrfFRXwp0lw-HOrKkq5vC7hY-f-1WYdO-krGF4ZeX_dj4mg6fGrYtgpwgfwZzQ> for a full description and information on registration. Contact IRIS-info at umich.edu<mailto:IRIS-info at umich.edu> with any questions.

This class 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.


--
Dan Meisler, Communications Specialist
Institute for Research on Innovation and Science
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