Betweenness centrality is a measure of centrality in a network based on shortest paths.
The data files in this collection are for datasets:
Document Count: 5,000 documents
Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc)
Search Term: (one of) Climate / Earth / Environmental / Pollution
Networked Models at Topic Counts: 15, 20
CSV files containing the coherence scoring pertaining to datasets of:
DocumentCount = 5,000
Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / Chicago Novel Corpus [nvl] / Newspaper Corpus [nws]
SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus
Coherence was scored across every combination of:
Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric]
Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
The columns in this file include:
Validation_Set: Which search term this scoring pertains to
Topics: Number of topics in the model
Alpha: Hyperparameter alpha selection from the 6 options above
Beta: Hyperparameter beta selection from the 6 options above
Coherence: The topic coherence score for the given model-row
Perplexity: The perplexity score for the given model-row
DAAP THINKS is a collection of scholarly research and creative work from the faculty and graduate students in the College of Design, Architecture, Art, and Planning. Aside from conducting project based research, this collection also showcases other forms of scholarly research and creative work within the college; publications, research findings, artifacts, digital based applications, etc.
This work showcases the research, innovation and collaboration based on the five research areas within DAAP:
• Urban Systems
• Health & Wellbeing
• Creative Entrepreneurship
• Digital Culture
• Sustainable Living
Web site devoted to documenting and describing the Greater Cincinnati region's Modernist architecture, with a focus on the collection at the Design, Architecture, Art, and Planning Library at the University of Cincinnati.
Goal: Identify students interested in Family Medicine to help target limited resources for their support
Research Question: Could artificial intelligence help identify students interested in or suited for Family Medicine?
Through narrative inquiry, preservice art educators in the School of Art at the College of Design, Art, Architecture, and Planning at the University of Cincinnati, use their own biographic narrative as data to understand the nature of their educational experience and to project a better approach to that educational experience in their futures. Through narrative inquiry, they regressively reflect on their own social positions and synthesize that with their analysis of current experiences in the art education field. These future art teachers present their process of narrative inquiry that has evolved into a viable curricular approach they hope to implement in their future classrooms or schools. By reflecting on their position, privilege (or lack of privilege), and biases and synthesizing that with their current experience in the art education field, they questioned situations and events that led to further research.
The Workshop is an online platform where members of the public offer their own responses to artworks and other content included in the exhibition Hank Willis Thomas: All Things Being Equal... Many of the voices in the Workshop belong to Greater Cincinnatians who are Black, Indigenous, or people of color. Responses will accumulate throughout the run of the exhibition, and will remain online after the exhibition closes.
The explanatory texts that appear on the walls of the museum are customarily written by curators, who balance factors including the artist’s point of view, institutional expectations, their own training and perspective, and the need to communicate with members of the public. Most but not all of the curators who wrote the explanatory texts in Hank Willis Thomas: All Things Being Equal... were trained in practices of social critique similar to those used by the artist, and are White. The purpose of the Workshop is to create space for more voices, views and ways of speaking about art to be heard.
This collection of three works contains the data sets supporting the publication "Convergence in Viral Epidemic Research: Using Natural Language Processing to Define Network Bridges in the Bench-Bedside-Population Paradigm" submitted to the Harvard Data Science Review in November 2020.
The authors were Margaret Powers, Erin McCabe, Sally Luken, Danny Wu, Philip Hagedorn, Ezra Edgerton, Amy Koshoffer, Dorcas Washington, Suraj Kannayyagari, Jennifer Latessa, and James Lee.