Digital Governance Lab Proposal

UVA Digital Governance Lab Proposal Related Scholarship Claibourn, Michele, McClintock, Charlotte, and Public Interest Data Lab. 2018. Charlottesville Child Welfare Study 2018. Prepared by the Public Interest Data Lab for the Charlottesville Department of Social Services, Charlottesville, VA. Hatcher, Holly, McClintock, Charlotte, and Community Impact Lab. 2018. Early Childhood Mapping Project. Prepared as part of […]

StatLab Articles on GitHub

We’ve been posting short articles and tutorials on our webpage since 2012 — things like Getting Started with Matching Method, A Beginner’s Guide to Text Analysis with Quanteda, and How to apply a graduated color symbology to a layer using Python for QGIS 3. This summer, we’re trying something new. We’re moving the StatLab articles […]

2019-2020 StatLab Fellows

Graduate StatLab Fellows The UVA Library’s Research Data Services is seeking multiple StatLab graduate fellows for the 2019-2020 academic year. Fellows will deepen their knowledge of quantitative methods, data analysis and data science, and statistical computation by: working collaboratively with statistical and data science experts, supporting data science research on grounds through consultations with researchers […]

Research Sprints

The Library is piloting a new effort — Research Sprints! This is an opportunity for faculty to partner with a team of expert librarians on a specific project or component of a broader project. Individuals or teams of faculty will work intensively with a team of librarians during the week of May 13-17, 2019, four […]

Course Enrichment Grants

The UVA Library is offering another round of Course Enrichment Grants — a small grant ($2500) to support faculty who would like to partner with library staff to enhance students’ abilities to seek, evaluate, manage, and use information and data in scholarly contexts, as well as create new types of media-rich class assignments. All funded […]

Analysis of Ours to Shape Comments, Part 5

Introduction In the penultimate post of this series, we’ll use some unsupervised learning approaches to uncover comment clusters and latent themes among the comments to President Ryan’s Ours to Shape website. The full code to recreate the analysis in the blog posts is available on GitHub. Cluster Analysis Cluster analysis is about discovering groups in […]

Analysis of Ours to Shape Comments, Part 4

Introduction We’re still analyzing the comments submitted to President Ryan’s Ours to Shape website. In the fourth installment of this series (we’re almost done, I promise), we’ll look at the sentiment – aka positive-negative tone, polarity, affect – of the comments to President Ryan’s Ours to Shape website. We don’t have a pre-labeled set of […]

Analysis of Ours to Shape Comments, Part 3

Introduction To recap, we’re exploring the comments submitted to President Ryan’s Ours to Shape website (as of December 7, 2018). In the first post we looked at the distribution of comments across Ryan’s three categories – community, discovery, and service – and across the contributors’ primary connection to the university. We extracted features like length […]

Analysis of Ours to Shape Comments, Part 2

Introduction In the last post, we began exploring the comments submitted to the Ours to Shape website. We looked at the distribution across categories and contributors, the length and readability of the comments, and a few key words in context. While I did more exploration of the data than reported, the first post gives a […]

Spring 2019 Workshops

Our spring 2019 workshops are on the calendar! We’re excited about some new content and sequences we’ve got planned for the spring, including Data Science Essentials in R, a coordinated series of R workshops — Introduction to R, Data preparation in R, Data Visualization in R, Linear Modeling in R, Visualizing Models & Communicating Results, […]