Uploaded October 2025 | Updated September 2026, 1 hour ago
Elena Glassman presents and discusses two novel systems for reading and writing scientific works at scale. The first, CorpusStudio (CHI'25), surfaces emergent writing patterns in a corpus of prior work while the writer composes their own paper for the same audience. The second, AbstractExplorer (UIST'25), demonstrates novel Structure-Mapping Theory-informed text analysis and rendering techniques that enable cross-document skimming and comparative close reading at scale. She concludes with thoughts on the value of preserving personal engagement in activities even as we have ever more powerful AI-powered assistants available to help us.
Elena L. Glassman is an Assistant Professor of Computer Science at the Harvard John A. Paulson School of Engineering & Applied Sciences, specializing in human-computer interaction. Prior to that, she was a postdoctoral scholar at UC Berkeley, and obtained a BS, MEng, and PhD in Electrical Engineering and Computer Science from MIT. She has been named a Stanley A. Marks & William H. Marks Professor at the Radcliffe Institute for Advanced Study and a National Academy of Sciences Kavli Fellow. Her work has been funded by the NSF, private industry, the Berkeley Institute for Data Science, and the Sloan Research Fellowship. This work has received Best Paper and Honorable Mention awards at top-tier human-computer interaction research venues.
Elena Glassman presents and discusses two novel systems for reading and writing scientific works at scale. The first, CorpusStudio (CHI'25), surfaces emergent writing patterns in a corpus of prior work while the writer composes their own paper for the same audience. The second, AbstractExplorer (UIST'25), demonstrates novel Structure-Mapping Theory-informed text analysis and rendering techniques that enable cross-document skimming and comparative close reading at scale. She concludes with thoughts on the value of preserving personal engagement in activities even as we have ever more powerful AI-powered assistants available to help us.
Elena L. Glassman is an Assistant Professor of Computer Science at the Harvard John A. Paulson School of Engineering & Applied Sciences, specializing in human-computer interaction. Prior to that, she was a postdoctoral scholar at UC Berkeley, and obtained a BS, MEng, and PhD in Electrical Engineering and Computer Science from MIT. She has been named a Stanley A. Marks & William H. Marks Professor at the Radcliffe Institute for Advanced Study and a National Academy of Sciences Kavli Fellow. Her work has been funded by the NSF, private industry, the Berkeley Institute for Data Science, and the Sloan Research Fellowship. This work has received Best Paper and Honorable Mention awards at top-tier human-computer interaction research venues.
