Author Archive: Nichole M. Stewart

Nichole M. Stewart is a researcher, analyst, and evaluator experienced in data collection and analysis, performance management, data visualization, and spatial analysis techniques using GIS. Over the past four years she has worked as a consultant on a variety of projects analyzing and visualizing community-level demographic, socioeconomic, and labor market data. She also provides data management and reporting technical assistance to workforce development programs engaged in job training and placement. Nichole was also previously an economist with the Bureau of Labor Statistics.

As a graduate student in University of Maryland, College Park’s Community Planning program, Nichole studied the characteristics and outcomes of housing policies such as HOPE VI and the Low Income Housing Tax Credit (LIHTC). She is currently a doctoral student in University of Maryland, Baltimore County’s Public Policy program with a specialization in evaluation and analytical methods. Her current research and evaluation interests involve studying the impact of mixed-income development and relocation, developer locational incentives, and tax increment financing on employment outcomes.

Nichole is a native of Baltimore's Broadway East neighborhood currently residing in Mt. Vernon.

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Mobility and Poverty in Baltimore City

Mobility and Poverty in Baltimore City

Residential mobility data recently available from the ACS includes the demographic and socioeconomic characteristics of residents who recently moved to a neighborhood.

OnTheMap: It can do WHAT?

OnTheMap: It can do WHAT?

OntheMap is an interactive web-based application that visualizes data about jobs, workers, and commuting patterns for areas as small as a census block.

Connecting Performance Management to Program Evaluation

Connecting Performance Management to Program Evaluation

Distinguishing between Performance Management and Program Evaluation presents challenges for program directors and the organizations that fund them.

Data Science for Evaluators

Data Science for Evaluators

Evaluators are increasingly expected to take on the role of data scientists. But how do new evaluators build their “toolbox” of skills and improve their practice?

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