TY  - GEN
N2  - Science, technology, engineering, and math (STEM) training programs share an overarching goal of enhancing education and support for their students. The desire to understand student impact is shared across disciplines and training levels, which underscores the importance of how student access, engagement, and retention in STEM are measured.This presentation invites students, staff, and faculty to engage in conversations around inclusive demographics and share considerations for improving data science training to younger students.
DO  - 10.6083/bpxhc42957
DO  - doi
AB  - Science, technology, engineering, and math (STEM) training programs share an overarching goal of enhancing education and support for their students. The desire to understand student impact is shared across disciplines and training levels, which underscores the importance of how student access, engagement, and retention in STEM are measured.This presentation invites students, staff, and faculty to engage in conversations around inclusive demographics and share considerations for improving data science training to younger students.
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Portland State University
AD  - Portland State University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
T1  - Community-engaged research partnerships for building capacity and training in inclusive data science
ED  - Marriott, Lisa
ED  - Mentor
DA  - 2024
AU  - Paris, Stephanie E.
AU  - Espinosa, Shanthia N.
AU  - Link, Aaron R.
AU  - Jones, Adri
AU  - Braley, Amanda
AU  - Wakim, Nicky
L1  - https://digitalcollections.ohsu.edu/record/42957/files/Abstract_SEE2024_ParisStephanie.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2024
ID  - 42957
L4  - https://digitalcollections.ohsu.edu/record/42957/files/Abstract_SEE2024_ParisStephanie.pdf
KW  - Cross-Sectional Studies
KW  - Diversity, Equity, Inclusion
KW  - Data Science
KW  - Intersectional Framework
KW  - Data Collection
KW  - Qualitative Research
KW  - representation
KW  - demographics
TI  - Community-engaged research partnerships for building capacity and training in inclusive data science
Y1  - 2024
L2  - https://digitalcollections.ohsu.edu/record/42957/files/Abstract_SEE2024_ParisStephanie.pdf
LK  - https://digitalcollections.ohsu.edu/record/42957/files/Abstract_SEE2024_ParisStephanie.pdf
UR  - https://digitalcollections.ohsu.edu/record/42957/files/Abstract_SEE2024_ParisStephanie.pdf
ER  -