I am a social scientist, data scientist, community-engaged scholar,
and research director with 20+ years of experience teaching, leading,
and managing research and data science teams.
As the Director of Community-Centered Analysis at UVA’s Center for Community
Partnerships, I work with an amazing collection of scholars and
practitioners, community experts, and students to create analysis and
tools in support of a more just and equitable region. As a faculty
member in the Batten School of
Leadership in Public Policy, I teach classes on data ethics, public
interest technology, and equitable policy. As an affiliated faculty with
the School of Data
Science, I co-lead a community data fellowship program, mentoring
graduate students in the practice of community-centered data
science.
I have been fortunate to engage in a wide variety of work – as a
political science professor and quantitative scholar at the University
of Oklahoma and the University of Virginia; as a data scientist engaged
in applied work with the Weldon Cooper Center for
Public Service; as a consultant and leader creating UVA’s StatLab; as
a library director building Research Data Services and the
Social, Natural, and Engineering Sciences; and as a researcher
bridging applied and academic interests with community partners and
advocates.
And I’ve been grateful to find many generous and creative partners
along the way who’ve invited me to be part of collaborative work,
including:
- The RVA Eviction
Lab at VCU, building data tools to support activists and advocates
fighting harmful evictions.
- The Environmental
Institute at UVA, working with an interdisciplinary team to
translate science into data-rich decision support tools for the Eastern
Shore of Virginia.
- Community Policy, Analytics, and Strategy Lab (CommPAS), co-directing a
community-oriented research initiative with Paul Martin in
the Batten School of Public Policy,
- The Global Policy Center’s Humanitarian
Collaborative at UVA, working on predictive analytics for
humanitarian goals,
My work centers on action-based research, using the tools of data
science to promote accountable governance, make visible racial and other
social inequities, and impact public policy and movement building. More
importantly, I hope I’m mentoring the incredible young people I get to
work with at UVA to engage this work early in their careers.
Also, sometimes I play the mandolin, pretend I’m learning to play the
banjo (among other instruments), and harbor a dream of joining a home-grown
bluegrass band!
Research Projects
A selection of published research and work in progress.
-
A series of projects analyzing racial disparity in Virginia evictions,
identifying ownership clusters in Virginia’s rental market, and related
work
-
In progress
-
A collaborative project to pilot a comprehensive mental health data
dashboard and decision-making protocol to inform tailored decision
making for selecting and implementing youth mental health services.
-
With a 3-year graont from the Precision Health Initiative at UVA
-
In progress
-
An empirical examination of the relationship between the historical
occurrence of racial violence and Confederate memorializaitons.
-
Published in Proceedings of the National Academy of Sciences
-
Co-authored with Kyshia Henderson, Samuel Powers, Jazmin L.
Brown-Iannuzzi, and Sophie Trawalter
-
Working to build and evaluate models of displacement that can be of use
in humanitarian response.
-
Part of UVA’s Batten School of Leadership and Public Policy’s Global
Policy Center, in partnership with Save the Children, International.
-
An effort to record decades of thoughtful and bold calls for racial
equity written by students, faculty, and staff at the University of
Virginia, to analyze them for common themes, and to create an
interactive library to advance the conversation.
-
A collaboration between the UVA Equity Center and the President’s Racial
Equity Task Force.
-
Re-imagining UVA as a place where first generation and lower income
students thrive
-
Working with first-gen and low-income students to create research and
knowledge for advocacy and change.
-
My book (University of Illinois Press 2011) examines how citizens learn
and use accountability standards during presidential campaigns.
-
Hearing Campaign Appeals: The Accountability Implications of Campaign
Tone. 2012. Political Communication 29: 64-85.
-
Making a Connection: Repetition and Priming in Campaigns. 2008. Journal
of Politics 70: 1142-1159.
-
Investigating the causes and consequences of citizen participation in
electoral systems.
-
Citizen Participation and Congressional Responsiveness: New Evidence for
Why Participation Matters. 2013. Legislative Studies Quarterly 38:
59-82. With Paul Martin.
-
Creating Constituencies: Presidential Campaigns, the Scope of Conflict,
and Selective Mobilization. 2012. Political Behavior 34: 27-56. With
Paul Martin.
-
Gender Differences in Citizen-Level Democratic Citizenship: Evidence
from the Comparative Study of Electoral Systems. IPSA 2000, MPSA 2001,
CSES 2002. With Virginia Sapiro.
-
Examining the production of social capital and how social capital
promotes policy accountability.
-
The Third Face of Social Capital: How membership in Voluntary
Associations Improves Policy Accountability. 2007. Political Research
Quarterly 60: 192-201. With Paul Martin.
-
Trusting and Joining: An Empirical Test of the Reciprocal Nature of
Social Capital. 2000. Political Behavior 22: 267-291. With Paul Martin.
Teaching and Instruction
Current courses and past workshops, instructional blog posts, and
other projects and materials created as educational resources.
-
Supporting a cohort of UVA graduate students in the practice of
community-centered data science
-
In collaboration with the Center for Community Partnerships and the
School of Data Science at UVA
-
Partners have included: United Way of Greater Charlottesville, Piedmont
CASA, Network2Work, and The Fountain Fund
-
This course provide data science experience to students in service of
equity and justice. We practice working collaboratively, openly,
inclusively, and reproducibly, interrogating our work in an ongoing
project to learn how we might use data science for liberation.
-
Spring
2022
-
Spring
2023
-
Spring
2024
-
Spring
2025
-
Over the course of the semester, we unpack the meaning of equity in
policy, review methods of assessig for equity, and examine concrete
policy decisions and domains through an equity lens. Through team-based
projects focusing on policies targeted at the challenges faced by
different populations and people, we generate concrete examples of what
such a process could look like.
-
Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025
-
Fall 2024: Our work in the fall focused on building a shared
understanding of how the multiple problems of gun violence manifest
locally via problem briefs to disambiguate types of gun violence,
describe how the challenges and impacts are distributed, summarize the
key causes and consequences, and examine how knowledge derived from
national and state level research applies to our local context
-
Spring 2025: Our work in the spring focused on drafting (and building a
template for) a series of intervention briefs to synthesize research on
recommended policy interventions and programs with particular attention
to the conditions in which these have been used and whether they are
likely to translate to our local context
-
This short course is a 5-week introduction to the principles and tools
of data visualization – we explore multiple approaches to understand,
present and communicate about data – with some side trips into data
wrangling and processing.
-
Fall 2022 class
-
Fall 2021 class
-
The Public Interest Data Lab worked on a series of analyses and reports
in partnership with Charlottesville’s Department of Social Services and
Albemarle County’s Department of Social Services to examine racial and
other disparities in the local child welfare ecosystem
-
Spring
2020
-
Spring
2019
-
Spring
2018
-
A multi-part example of text analysis in R
-
Examining the comments submitted to UVA’s new president’s Ours to Shape
website.
-
Contributions to our UVA Library Data Workshop series
-
Including data wrangling, linear modeling, text as data (sentiment
analysis, topic modeling, classification), survival analysis, matching
methods, mulitiple imputation, cluster analysis, mixed-effects models,
and multi-part data science series