Our Team


Jennifer Cera, CSW

President/Project Manager

Throughout her career as a public servant, Jennifer has practiced and advocated for a data-centric, quantitative approach to the management and provision of public goods.  Jennifer founded Neighborhood Analytics in order to connect organizations that serve communities and families with resources they need in order to make sound data-driven decisions.

Atiera Coleman, PhD
Researcher
Atiera’s work uses mixed-methods approaches to examine current and historical discriminatory practices that impact institutional equity. Her expertise is based on years of programmatic work within departments of equity and inclusion, research detailing the inequities within education systems, and the retrospective examination of how these practices have impacted the educational experiences of marginalized groups. Her diverse experiences include assessment and evaluation work with non-profits and schools, grant writing and overseeing of federal and NSF grants, teaching courses on research methodology at Beloit College, participation on panels that interrogate current systems of oppression, and national presentations detailing equity work within higher education. Atiera received her Doctorate from the University of Wisconsin – Milwaukee.

Clayton Clouse, PhD
Researcher
Clayton specializes in the development and application of advanced quantitative solutions for organizational challenges. His diverse experience spans from pioneering data science programs for a prominent national public/private partnership based in southeastern Wisconsin to teaching quantitative social science methods courses at the University of Wisconsin-Milwaukee. Clayton has been a frequent presenter and speaker at conferences focused on the practical applications of machine learning and big data tools, and his research has been published by peer-reviewed social science journals. Clayton received his Doctorate from the University of Wisconsin – Milwaukee.

Joseph Cera, PhD

Research Director

Joseph has been conducting applied quantitative research projects on behalf of public- and private-sector partners in Wisconsin for nearly two decades. His experience includes oversight of numerous municipal, county, and statewide public policy-focused opinion survey projects, management of field data collection teams for public health studies, and development/implementation of predictive models and machine learning algorithms. Joseph specializes in communicating results to non-technical audiences; he has been a frequent guest on Milwaukee Public Radio and Wisconsin Public Radio, and his public-facing work has been repeatedly covered by the Milwaukee Journal-Sentinel and the Milwaukee Business Journal.  Joseph received his Doctorate from the University of Wisconsin – Milwaukee.

Kimberly J. Rice, PhD
Researcher
Kim specializes in the application of theoretical and quantitative solutions for multifaceted research questions. Her experience includes research and peer-reviewed publication on issues of policing and accountability, police use of force, federal agency decisions in the courts, state judicial elections, and state tax incentives as a means of economic development. Kim received her Doctorate from the University of Wisconsin – Milwaukee, where she taught undergraduate research methods, and her Masters of Public Administration from the La Follette School of Public Affairs at the University of Wisconsin – Madison.
Jason Lopez
Data Integration Specialist
Jason’s 15+ years of experience has centered on helping organizations to design and implement business intelligence infrastructure that enables them to capitalize on their data assets. His career as a consultant has enabled him to use his in-depth technical knowledge of modern-day business intelligence platforms to successfully implement analytics products in industries ranging from the public sector and insurance to genetics and marketing. His focus is on analyzing existing systems within the Microsoft BI stack and helping his client prepare for the future by modernizing their BI infrastructure.