[ICPSR] Free workshop on big data - apply by March 22!

[ICPSR Summer Program]

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Learn to work with large-scale restricted data

The ICPSR Summer Program would like to announce the following workshop,
sponsored by the Institute for Research on Innovation & Science (IRIS)
<https://iris.isr.umich.edu/> and funded by the Directorate for Education
and Human Resources <https://www.nsf.gov/dir/index.jsp?org=EHR> of the National
Science Foundation <https://www.nsf.gov/>:

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

*Dates:* June 1-11, 2021

*Location:* Online format

*Instructors:*

Jason Owen-Smith, IRIS Executive Director

Jinseok Kim, IRIS Research Assistant Professor

Matthew VanEseltine, IRIS Research Investigator

Robert Truex, IRIS Data Manager

Raphael Ku, IRIS Data Support Specialist

Natsuko Nicholls, IRIS Research Manager

Additional instructors TBD

The Institute for Research on Innovation and Science (IRIS
<https://iris.isr.umich.edu/>) is offering an introductory-level workshop
for researchers in education and social science fields (ESS) interested in
gaining experience working with large-scale restricted data. The goal of
the workshop is to increase the ability of participants to define and
develop projects that will result in competitive proposals that might be
submitted to NSF or other funders. A secondary goal is to support a
community of researchers who can share information, tools, and insights to
help strengthen research and teaching capabilities involving large scale
data analysis in ESS fields.

In this hands-on class, participants will work in teams using large-scale
datasets curated by IRIS to achieve a better understanding of the research
questions that can be answered with big data. Datasets on the makeup of
research teams will be featured. We designed this workshop to help
participants acquire or expand data analysis skills to support efforts to
develop and articulate individual research questions and to frame that
question in a fashion suitable to pursue external funding to support
ESS-focused research. While examples will be drawn from the IRIS UMETRICS
dataset, topics of particular interest may focus on other data sources.

Workshop themes include data exploration, visualization, and linkage; basic
data analysis; and grant proposal writing. During technical sessions, we
will focus on working through well documented examples of Python code in
Jupyter Notebook. We introduce participants to the basics of data
exploration and linkage techniques using Python and Structured Query
Language (SQL) along with tutorials on data visualizations using Python
packages that enable the user to  create effective, attractive figures
(such as histograms, scatter plots, box plots, etc.). Discussions,
exercises, and pre-work materials will focus on examining whether and how
different types of diversity in scientific research teams influence the
amount, character, and impact of research produced by those teams.

The guided, step-by-step analytic work will help participants develop
critical skills in working with real administrative data in a privacy
protected research environment. More substantive discussions during
introductory lectures, journal clubs and other discussions will focus
on literature and general approaches to questions that you will help
define.

IRIS is a consortium of universities anchored on an IRB-approved data
repository that uses administrative data to understand, explain, and
improve the public value of research and higher education. IRIS ingests
member university administrative data related to sponsored
research projects into a highly protected data enclave environment and
makes linkages to a variety of public and proprietary datasets (including
the U.S. Census Bureau). Using these data, IRIS  generates reports and
creates research datasets. See iris.isr.umich.edu for more information.

Supported by the National Science Foundation as part of its Building
Capacity in STEM Education Research program, 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.

*Prerequisites:* No experience in quantitative data analysis is necessary,
although some pre-workshop reading will be required.

*Registration Fee:* There is no registration fee for this workshop.

*Eligibility:* Participants must be currently affiliated with an academic
or research institution in  the United States. Participants must have a PhD
or have achieved candidacy in an applicable field (i.e., education, higher
education, economics, sociology or related fields). Like our workshop
sponsor, the National Science Foundation (NSF), IRIS is committed to
broadening  participation in this course to include scholars from
underrepresented fields of study,  institutions, and demographic groups.

There are no requirements for technical skills but note that this is a
hands-on coding workshop. Past participants have suggested that a basic
familiarity with Python makes the class much more effective. IRIS will
share resources for developing such skills prior to the workshop’s
start date. Participants will be encouraged to complete pre-workshop
readings and exercises.

*Application:* Admission to this workshop is competitive and enrollment is
limited. Applicants must register for the waitlist for this workshop
through the ICPSR Summer Program portal at https://cvent.me/ZbbOPa.
Additionally, applicants must email the following application materials to
sumprog at icpsr.umich.edu:

1. Current curriculum vitae

2. A cover letter summarizing your interest in the workshop and how
participation will further your scientific and career goals. Include a
description of how your background and research contribute to the diversity
of scholarship in the analysis of large-scale data for education and social
science.

*Application Deadline:* Monday, March 22, 2021

Course Times: The workshop will be offered in both synchronous and
asynchronous formats. Synchronous course meetings will be held beginning at
1 pm EDT. Specific details about course format will be provided in a
syllabus sent to participants several weeks prior to the course start date.
For more information: Please visit https://iris.isr.umich.edu/ for more
information about IRIS. Contact IRIS-info at umich.edu with questions about
the workshop.

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*Copyright © 2021 ICPSR Summer Program in Quantitative Methods of Social
Research, All rights reserved.*
*--*

*ICPSR Summer Program*
http://www.icpsr.umich.edu/sumprog/
P.O. Box 1248
Ann Arbor, Michigan 48106
734-763-7400

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