As data grows exponentially across diverse fields, the ability to effectively leverage big data has become increasingly crucial. In the field of data science, however, minority groups, including African Americans, are significantly underrepresented. With the strategic role of minority-serving institutions to enhance diversity in the data science workforce and apply data science to health disparities, the National Institute for Minority Health Disparities (NIMHD) provided funding in September 2021 to six Research Centers in Minority Institutions (RCMI) to improve their data science capacity and foster collaborations with data scientists. Meharry Medical College (MMC), a historically Black College/University (HBCU), was among the six awardees. This paper summarizes the NIMHD-funded efforts at MMC, which include offering mini-grants to collaborative research groups, surveys to understand the needs of the community to guide project implementation, and data science training to enhance the data analytics skills of the RCMI investigators, staff, medical residents, and graduate students. This study is innovative as it addressed the urgent need to enhance the data science capacity of the RCMI program at MMC, build a diverse data science workforce, and develop collaborations between the RCMI and MMC’s newly established School of Applied Computational Science. This paper presents the progress of this NIMHD-funded project, which clearly shows its positive impact on the local community.
more »
« less
Fostering the Development of Earth Data Science Skills in a Diverse Community of Online Learners: A Case Study of the Earth Data Science Corps
Today’s data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science. These skills are imperative to harness information contained in a growing volume of complex data to solve the world's most pressing environmental challenges. Despite the importance of these skills, Earth and Environmental Data Science (EDS) training is not equally accessible, contributing to a lack of diversity in the field. This creates a critical need for EDS training opportunities designed specifically for underrepresented groups. In response, we designed the Earth Data Science Corps (EDSC) which couples a paid internship for undergraduate students with faculty training to build capacity to teach and learn EDS using Python at smaller Minority Serving Institutions. EDSC participants are further empowered to teach these skills at their home institutions which scales the program beyond the training lead by our team. Using a Rasch modeling approach, we found that participating in the EDSC program had a significant impact on learners’ comfort and confidence with technical and non-technical data science skills, as well as their science identity and sense of belonging in science, two critical aspects of recruiting and retaining members of underrepresented groups in STEM.
more »
« less
- Award ID(s):
- 1839895
- PAR ID:
- 10539319
- Author(s) / Creator(s):
- ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »
- Publisher / Repository:
- Journal of Statistics and Data Science Education
- Date Published:
- Edition / Version:
- 1
- Volume:
- 1
- Issue:
- 1
- Page Range / eLocation ID:
- 1
- Subject(s) / Keyword(s):
- Data science, education, technology, diversity
- Format(s):
- Medium: X Size: 6800KB Other: pdf
- Size(s):
- 6800KB
- Institution:
- United Tribes Technical College
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
While coursework provides undergraduate data science students with some relevant analytic skills, many are not given the rich experiences with data and computing they need to be successful in the workplace. Additionally, students often have limited exposure to team-based data science and the principles and tools of collaboration that are encountered outside of school.In this paper, we describe the DSC-WAV program, an NSF-funded data science workforce development project in which teams of undergraduate sophomores and juniors work with a local non-profit organization on a data-focused problem. To help students develop a sense of agency and improve confidence in their technical and non-technical data science skills, the project promoted a team-based approach to data science, adopting several processes and tools intended to facilitate this collaboration.Evidence from the project evaluation, including participant survey and interview data, is presented to document the degree to which the project was successful in engaging students in team-based data science, and how the project changed the students' perceptions of their technical and non-technical skills. We also examine opportunities for improvement and offer insight to other data science educators who may want to implement a similar team-based approach to data science projects at their own institutions.more » « less
-
Abstract There is a clear demand for quantitative literacy in the life sciences, necessitating competent instructors in higher education. However, not all instructors are versed in data science skills or research-based teaching practices. We surveyed biological and environmental science instructors (n = 106) about the teaching of data science in higher education, identifying instructor needs and illuminating barriers to instruction. Our results indicate that instructors use, teach, and view data management, analysis, and visualization as important data science skills. Coding, modeling, and reproducibility were less valued by the instructors, although this differed according to institution type and career stage. The greatest barriers were instructor and student background and space in the curriculum. The instructors were most interested in training on how to teach coding and data analysis. Our study provides an important window into how data science is taught in higher education biology programs and how we can best move forward to empower instructors across disciplines.more » « less
-
Abstract Programs that emphasize the important, multifaceted roles that soils play as the interfaces between humanity and the earth are needed to attract new students from diverse backgrounds. The Basic and Environmental Soil Science Training Research Experience for Undergraduates (BESST REU) site aims to provide undergraduates from a variety of science, technology, engineering, and mathematics disciplines with a substantive research experience on modern soil science while developing professional and technical skills. Here, we examine data from the first five BESST cohorts pre‐ and post‐activity surveys, assessing effects of the experience on students’ research skills, knowledge about soil science, and science self‐efficacy. Results suggest that both program‐wide, common experiences, such as our geomorphology field camp, and specific, individual, mentored research experiences were important to student outcomes. Students experienced significant increases in their capacity to conduct research, knowledge about soil science, and confidence in carrying out scientific tasks. Further, qualitative data suggest that the program fundamentally impacted how students saw themselves and understood the task of “doing science.” Experiences provided by REU programs such as BESST are valuable to help students refine their personal goals and understanding of communication and collaboration within research. BESST also helped students to better understand and communicate the role of soil scientists.more » « less
-
Deniz, Elif Ulutaş (Ed.)Effective science communication and stakeholder engagement are crucial skills for climate scientists, yet formal training in these areas remains limited in graduate education. The National Science Foundation Research Traineeship (NRT) at Auburn University (AU) addresses this gap through an innovative program combining science communication training with co-production approaches to enhance climate resiliency of built, natural, and social systems within the Southeastern United States (US). This paper evaluates the effectiveness of two novel graduate-level courses: one focused on science communication for non-technical audiences and another combining co-production methods with practical internship experience. Our research employed a mixed-methods approach, including a comprehensive analysis of course catalogs from 146 research-intensive universities and qualitative assessment of student experiences through surveys and descriptive exemplars. Analysis revealed that AU’s NRT program is unique among peer institutions in offering both specialized science communication training and co-production internship opportunities to graduate students across departments. Survey data from 11 program participants and detailed case studies of three program graduates demonstrated significant professional development benefits. Key outcomes included enhanced stakeholder engagement capabilities, improved science communication skills, and better preparation for both academic and non-academic careers. These findings suggest that integrating structured science communication training with hands-on co-production experience provides valuable preparation for climate scientists. The success of AU’s program model indicates that similar curriculum structures could benefit graduate programs nationwide, particularly in preparing students to effectively communicate complex scientific concepts to diverse audiences and engage with stakeholders in climate resilience efforts.more » « less
An official website of the United States government

