Research Symposium
Overview
About

The Virtual IDeA for Data Science Education (IDSE) Initiative is a program hosted by the UND School of Medicine and Health Sciences in partnership with area Tribal colleges to begin to address the growing demand for data science education.  A week-long training academy will introduce students to the foundations of data science and analytics. The IDSE Program introduces students to computational approaches, access to resources, and career opportunities in data science, address the under-representation of American Indians and Alaskan Natives in the biomedical research workforce.

Data science is essential for advancing knowledge of factors that drive disparities, and uses a variety of data sources for leveraging information that can lead to improvements in clinical decision-making and public health.  Given the major role that data science plays in analyzing these health inequities, addressing disparities within the field itself is critical.

The Initiative builds on the NIH-funded ND INBRE and CoBRE Programs for Indigenous Trauma & Resilience Research, which are both housed at the UND School of Medicine and Health Sciences.
This research was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number P20GM103442. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Data science is a rapidly expanding interdisciplinary field of study that is gaining  momentum in many subject areas.  In healthcare, these technologies are leading the way to transformative change.   The VIDS Training Academy, a partnership between the UND School of Medicine and Health Sciences and area Tribal Colleges and Universities, aims to begin to address the growing demand for data science education and mentorship within indigenous communities.

This unique online data science curriculum is designed to introduce Tribal College students to computational approaches and critical resources needed for advancing knowledge in biomedicine and public health.  The VIDS Training Academy will introduce students to the interdisciplinary field of data science.  Using a culturally-grounded approach, the VIDS Training Academy will provide participants with the background and essential data science skills for working with key data sources in biomedical research and public health.  The principles and practice of indigenous data sovereignty will be observed throughout the course.

Learning Objectives

1.  Describe the interdisciplinary field of data science
2.  Discuss indigenous perspectives of health data ethics and implications for TCUs and Tribal communities
3.  Review foundational concepts in algebra and probability for data analytics
4.  Describe the role of statistics in data science 
5.  Differentiate between spreadsheets and database systems
6.  Match a programming language to a data science application
7.  Apply guidelines for scientific visualization using MS Excel to summarize different types of data
8.  Gain programming experience using MS Excel to manage, explore, and visualize data
9.  Describe types of studies for investigating research questions
10.  Distinguish between Big Data and little data
11.  Describe the role of analytics in the transformation of data to knowledge
12.  Weigh the advantages and disadvantages of cloud computing in biomedical research
13.  Outline the steps of an analytic process
14.  Recognize common applications of machine learning in healthcare
15.  Interpret results of a machine learning solution
16.  Demonstrate understanding of the potential and limitations of algorithmic knowledge
       

Under Construction
Virtual Indigenous Data Science (VIDS) Academy
June 27 - July 1, 2022
Registration is closed.
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