Presentations

Peer-Reviewed Articles

• Bolger, Emily, Marius Nwobi, and Marcos D. Caballero. “Characterizing Faculty Online Learning Community Interactions Using Social Network Analysis”. 2024. arXiv, arxiv.org/abs/2407.00193.
• Azodi, Christina B., Emily G. Bolger, Andrew McCarren, Mark Roantree, Gustavo de los Campos, and Shin-Han Shiu. “Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits.” G3: Genes.Genomes.Gene 2019. https://doi.org/doi:10.1534/g3.119.400498.

Peer-Reviewed Conference Proceedings

• Bolger, Emily and Marcos Caballero. [Poster Presentation]. “Exploring the Impact of Unsupervised Clustering Methods in Systematic Literature Reviews”. Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2. Association for Computing Machinery, Wed 26 February - Sat 1 March 2025, 2025, https://doi.org/10.1145/3641555.3705184.
• Bolger, Emily, Yang Wang, Rachel Renbarger, M. Danny Caballero, Marius Nwobi, Cassandra Lem, Noah Finkelstein, Scott Simkins, Taylor Boyd, Charles Henderson, and Andrea Beach. [Paper Presentation]. “Integrating machine learning into systematic reviews: Strengthening evidence synthesis”. Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2. American Educational Research Association Annual Meeting, April 23-27, 2025, 2025.
• Bolger, Emily and Marcos Caballero. [Lightning Talk Presentation]. “Using Natural Language Processing to Explore Instructional Change Strategies in Undergraduate Science Education Literature”. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2. Association for Computing Machinery, Wed 20 - Sat 23 March 2024, 2024, https://doi.org/10.1145/3626253.3635341.
• Silvia, Devin W., Marcos D. Caballero, Thomas Finzell, Rachel Frisbie, Patti Hamerski, Emily Bolger, Sarah Castle, Rachel Roca, and Paige Tourangeau. [Birds of a Feather]. “Computing in Support of Disciplinary Learning”. Proceed ings of the 54th ACM Technical Symposium on Computer Science Education V.2. Association for Computing Machinery, Wed 15 - Sat 18 March 2023, 2023, https://doi.org/10.1145/3545947.3573341.

Peer-Reviewed Conference Presentations

• Bolger, Emily. [Oral & Poster Presentation]. “Using Natural Language Processing to Explore Instructional Change Strategies in Undergraduate Science Education Literature”. Symposium for Data Science & Statistics (SDSS),. Richmond, Virginia, USA,. 2024.
• Bolger, Emily. [Poster Presentation]. “Developing Thoughtful Scientists through an Introduction to Data Science Course”. Electronic Conference On Teaching Statistics (eCOTS),. Online, 2024.
• Bolger, Emily. [Poster Presentation]. “Nutrient Intake of Dancers: A Measurement Error Analysis Approach”. Annual Moravian College Honors Program, Bethlehem, Pennsylvania, USA,. 2020

Contributed Work

• Bolger, Emily. [Poster Presentation]. Exploring the Impact of Unsupervised Clustering Methods in Systematic Literature Reviews. Council of Graduate Students 17th Annual Graduate Academic Conference, 2025.
• Bolger, Emily. [Poster Presentation]. Analyzing Slack Messages of Physics Instructors Using Social Network Analysis. Oslo Physics Education Research Summer Institute, 2022.
• Bolger, Emily. [Poster Presentation]. Characterizing Community Interactions Among Faculty Using Social Network Analysis. 2nd Annual CMSE Data Science Student Conference, 2022.
• Bolger, Emily. Undergraduate Honors Thesis: Nutrient Intake of Dancers: A Measurement Error Analysis Approach. 2020.
• Bolger, Emily. [Oral Presentation]. Genomic Prediction of Traits Using Convolutional Neural Networks. Moravian College Mathematics Society Epsilon Series, 2019.
• Bolger, Emily. [Oral Presentation]. Nutrient Intake of Dancers: A Measurement Error Analysis Approach. The 15th Annual Student Scholarship and Creative Endeavors Day and Moravian College Mathematics Society Epsilon Series, 2019.
• Bolger, Emily. [Poster Presentation]. Genomic Prediction of Traits Using Convolutional Neural Networks. Mid-Michigan Symposium for Undergraduate Research Experiences (MidSURE), 2019