Lightning

CS015 Lightning Session 3, Part 1

Wed, Apr 29, 3:45 PM - 5:15 PM Room Milwaukee B Hyatt Regency Milwaukee

Data Science ApplicationsEducation & Professional Development

About this session

This session will be followed by an e-poster session on April 30 from 9:55 - 10:20 AM.

12 Presentations

A Comparative Study of Gaussian Processes on Structural Inference: Automatic Bayesian Covariance Discovery, Spectral Mixture Kernels, and Penalized Splines

3:45 PM - 5:15 PM

Co-authors: Ziheng Chen (University of Texas at Austin), Cheng-Han Yu (Marquette University), Ziheng Chen (University of Texas at Austin), Qishi Zhan (Marquette University)

Gaussian process regression ABCD kernel search spectral mixture kernel generalized additive model penalized splines structural inference

A Repeatable Data Pipeline & Workflow Framework for Evaluating Team Data Science Course Projects

3:45 PM - 5:15 PM

Co-authors: Edward Mirielli (University of Missouri - Institute for Data Science & Informatics), Edward Mirielli (University of Missouri - Institute for Data Science & Informatics)

Data Science Team Course Capstone Project Data Pipeline Workflow Evaluation and Assessment

Assessing and Improving Data Bias Literacy Among Senior Data Science Students: A Matched Pre/Post Study

3:45 PM - 5:15 PM

Co-authors: Mohammed Alam (Jacksonville State University), Mohammed Alam (Jacksonville State University)

Data bias literacy Bias identification and mitigation Ethics and fairness in data Data science education S-STEM National Science Foundation (NSF)

Bayesian Hierarchical Modeling for Sunspot Number Reconstruction

3:45 PM - 5:15 PM

Co-authors: Mary Wu (Northwestern University), Wenxin Jiang (Northwestern University), Mary Wu (Northwestern University)

Bayesian hierarchical modeling Sunspot numbers Solar cycle Radiocarbon Time-series reconstruction

Curricular Signatures: Survival Analysis and Statistical Learning for Time-to-Degree Prediction at a Diverse Public University

3:45 PM - 5:15 PM

Co-authors: David Kepplinger (George Mason University), Bethany Gopinath (George Mason University), Bethany Gopinath (George Mason University)

Survival analysis discrete-time hazard models time-to-degree higher education analytics institutional research complementary log-log models

Developing a Data Science Training Intensive for Graduate Students at an R1 Institution

3:45 PM - 5:15 PM

Co-authors: Selene Schmittling (North Carolina State University), Mara Blake, Mara Blake, Franziska Bickel (NC State University)

data literacy graduate students academic libraries

Development of an AI model for detecting fluorescence intensity in cell lines & the cells of vestibular system

3:45 PM - 5:15 PM

Co-authors: Dean Magara, Izzie Nielsen (Creighton University), Dean Magara, Vignesh Rathinavelpandian Anandavel (Creighton University), Peter Steyger (Creighton University), Danielle Carroll (Creighton University), Steven Fernandes (Creighton University)

AI model for detecting fluorescence intensity

Development of Core Competencies in Clinical Data Science Graduate Education: A Structured Institutional Approach

3:45 PM - 5:15 PM

Co-authors: Richard Ittenbach (Cincinnati Children's Hospital), Richard Ittenbach (Cincinnati Children's Hospital)

Clinical Data Science Clinical Data Management Data Science Competencies Curriculum Development

DRUM: Keeping the Beat When Inheriting A Data Science Project

3:45 PM - 5:15 PM

Co-authors: Weihuang Wong, Weihuang Wong

Project Transitions Legacy Code Management Technical Documentation Risk Mitigation

Expecting the Unexpected: Understanding Dissonant Academic Performers to Transform Student Outcomes

3:45 PM - 5:15 PM

Co-authors: Cathal Mee (St. Olaf), Siri Sagedahl (St. Olaf), Siri Sagedahl (St. Olaf), Noah Jansen, Paul Roback (St. Olaf College), Carlos Chávez (St. Olaf), Carrie Duba (Northfield Public Schools), Hope Langston (Northfield Public Schools)

students at risk internalizing emotional behaviors academic performance drop students high school academic drop

Leveraging Forum Theatre to Strengthen Communication and Confidence in Biostatistical Practice

3:45 PM - 5:15 PM

Co-authors: Amanda Young (Geisinger Medical Center, Danville, PA), Amanda Young (Geisinger Medical Center, Danville, PA), F. Daniel Davis (Geisinger Medical Center), Samantha Lee (Geisinger Medical Center), Samantha Norton (Geisinger Medical Center)

Professional Development Interprofessional communication and collaboration practical skill

The A Priori Procedure for estimation of the ratio of scale parameters in two independent gamma distributions

3:45 PM - 5:15 PM

Co-authors: Ziyuan Wang (University of Wisconsin Oshkosh), Ziyuan Wang (University of Wisconsin Oshkosh), Huy Ha (New Mexico State University), Tonghui Wang (New Mexico State University), David Trafimow (New Mexico State University)

Gamma Distribution F distribution a priori procedure ratio scale