Latest Work

SenseMate: An AI-based Platform to Support Qualitative Coding

Many community organizations want to engage in conversations with their constituents but lack the support they need to analyze feedback through qualitative data analysis (QDA), or sensemaking. As a result, it’s important to provide accessible entry points into the analysis process for people with no prior experience. For my master's thesis, I’m designing SenseMate, an AI-based platform to support non-researchers in qualitative coding. After developing a codebook, or a list of themes, from a subset of the data, qualitative coding involves applying the codebook to all the data. SenseMate aims to transparently recommend themes for pieces of text to increase the efficiency and reliability of qualitative coding.

This is an ongoing project!

Future CMS Schools

I collaborated with an amazing team of people from CCC and Charlotte-Mecklenburg Schools (CMS) to create a new form of community engagement around two magnet schools opening in the fall of 2023. Through facilitated small-group conversations and various online platforms that we designed, we were able to more deeply engage CMS’ parents, students, and other community members in dialogue around their hopes and concerns for the new schools.

A paper on this work was recently submitted to CHI 2023 as a case study.

Personal Reminiscence Detection

For my Natural Language Processing (NLP) final project, I worked with three classmates to detect personal reminiscence from face-to-face, small-group conversation transcripts. Our NLP task was to classify whether a conversation excerpt contains an instance of personal reminiscence or not. We constructed an annotated dataset for personal reminiscence detection and implemented a variety of models for classification.

Publications and Presentations

  • Overney, C., Saldías, B., Dimitrakopoulou, D., Roy, D. (2022). SenseMate: a collaborative human-AI platform to help communities analyze their stories. Manuscript submitted for conference, (Human-Machine Communication Interest Group at the Annual International Communication Association Conference).
  • Overney, C., Vega-Pourheydarian, C., Mitchell, M., Hall, W., Gillani, N., Roy, D. (2022). Voice Your Choice: Creating a Community Engagement Process for New Magnet Programs in Charlotte-Mecklenburg Schools. Manuscript submitted for conference, (Case Studies of HCI in Practice at the ACM CHI Conference on Human Factors in Computing Systems).
  • Gillani, N., Beeferman, D., Vega-Pourheydarian, C., Overney, C., Van Hentenryck, P., Roy, D. (2022). Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schools. Working paper.
  • Overney, C., Paul, A. (2020). The Relationship between Public Transit and Bikeshare Ridership. Working paper.
  • Overney, C. E., & Huang, J. J. (2020). Genome Sequence of Bacillus megaterium O1, a Saponin-Degrading Bacterium. Microbiology Resource Announcements, 9(40).
  • Overney, C., Meinicke, J., Kästner, C., & Vasilescu, B. (2020). How to not get rich: An empirical study of donations in open source. Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering, 1209–1221.
  • The Relationship between Public Transit and Bike Sharing Ridership in Boston. (2019). NextGen Data Science Day, Bentley University, (1st place at poster competition).
  • Beal, J., Overney, C., Adler, A., Yaman, F., Tiberio, L., & Samineni, M. (2019). TASBE Flow Analytics: A Package for Calibrated Flow Cytometry Analysis. ACS Synthetic Biology, 8(7), 1524–1529.
  • How Do Microbial Communities Cycle Nutrients. (2019). Summit for Women in STEM Student Talk, Wheaton College.

Awards and Fellowships