Study shows gaps in how STEM organizations collect demographic
information
Date:
March 31, 2022
Source:
University of California - Davis
Summary:
Professional organizations in science, technology, engineering
and mathematics (STEM) fields could more effectively collect
data on underrepresented groups in their fields, according to
a new survey. With more robust information, STEM organizations
could better target efforts to recruit and retain a more diverse
membership.
FULL STORY ========================================================================== Professional organizations in science, technology, engineering and
mathematics (STEM) fields could more effectively collect data on underrepresented groups in their fields, according to a new survey
published March 31 inScience. With more robust information, STEM
organizations could better target efforts to recruit and retain a more
diverse membership.
==========================================================================
"We want to start a conversation among STEM organizations," said Nicholas Burnett, lead author of the study and a postdoctoral researcher in the Department of Neurobiology, Physiology and Behavior at the University
of California, Davis. "The ultimate goal is to increase representation
of these groups, and you can't do that without knowing where to target resources." Burnett's coauthors on the study are: Alyssa Hernandez,
Harvard University; Emily King, UC Berkeley; Richelle Tanner, Chapman University; and Kathryn Wilsterman, University of Montana, Missoula.
The researchers surveyed 164 U. S.-based STEM organizations, drawn mostly
from a list of societies affiliated with the American Association for
the Advancement of Science. The organizations were asked about the
kinds of demographic information they collected on their members and
conference attendees, and how they put it to use. Survey results were
not associated with any particular organization, and the researchers
did not ask for actual demographic information from the respondents:
only what categories of information were collected.
Seventy-three organizations responded to the survey, representing over
700,000 constituents in a range of fields from life sciences and physical sciences to mathematics and technology.
While most organizations (80 percent) collected some demographic data,
exactly what they collected varied. Many organizations followed the kind
of breakdown used by federal agencies, offering a number of options for
"race and ethnicity" but also lumping together several disparate groups
under one category (such as "Asian American and Pacific Islander").
==========================================================================
Gaps in data Some groups were widely ignored. While 60 percent of
respondents were collecting at least some information on "gender identity"
and "race and ethnicity," for example, just 15 percent collected data
on "disability status" and "sexual orientation." The omission of these
groups is surprising given the well-documented discrimination against,
and underrepresentation of these groups in STEM, the authors wrote.
The researchers suggested several models for guiding survey design. STEM organizations might seek to benchmark their own surveys against nationally collected data, for example from the National Science Foundation's Survey
of Earned Doctorates, the U.S. Census Bureau's American Community Survey
and the Centers for Disease Control and Prevention's National Health
Interview Survey.
But these surveys also vary in the categories of information
collected. For example, the NSF survey uses a single "Asian" category
while the Census Bureau's survey and the National Health Interview Survey recognize seven distinct Asian identities.
The National Health Interview Survey did better than most in splitting
out groups that are normally lumped together, Burnett said, but it still
does not collect enough information on gender identity.
"Organizations are stuck between following their federal funders,
or responding to the social climate and collecting more accurate
information," Burnett said.
Most respondents (87.5 percent) said they were collecting demographic
data for some specific purpose, with the most common being "monitoring"
and "resource planning." "It's kind of shocking that some organizations
are collecting data but aren't doing anything with it," Burnett said.
The researchers hope that the study will provoke discussion in the STEM community, further research and action.
"Many organizations were genuinely interested in our study and want to
do better," Burnett said.
========================================================================== Story Source: Materials provided by
University_of_California_-_Davis. Note: Content may be edited for style
and length.
========================================================================== Journal Reference:
1. Nicholas P. Burnett, Alyssa M. Hernandez, Emily E. King, Richelle L.
Tanner, Kathryn Wilsterman. A push for inclusive data collection
in STEM organizations. Science, 2022; 376 (6588): 37 DOI:
10.1126/science.abo1599 ==========================================================================
Link to news story:
https://www.sciencedaily.com/releases/2022/03/220331151457.htm
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