NNIP Welcomes Two New Executive Committee Members

The National Neighborhood Indicators Partnership (NNIP) was founded by the partner organizations, and it continues to be led by an Executive Committee of elected partner members who steer the direction of the network. NNIP is pleased to announce two stellar additions to the Executive Committee — Sarah Eisele-Dyrli, assistant director of the Connecticut Data Collaborative (CTData), and Lee Guekguezian, program director at the Center for Urban and Regional Affairs (CURA) at the University of Minnesota — who have joined the Executive Committee as of January 2025.

The Executive Committee is the central mechanism guiding NNIP. Along with leadership from the Urban Institute, the six members plan partnership strategy, monitor performance under the plan, and advise on ongoing activities and policies of the partnership. More information on NNIP's governance is available here.

The four continuing Executive Committee members are: Victor Amaya (Milwaukee), Elizabeth Monk (Pittsburgh), Amanda Phillips de Lucas (Baltimore), and Elly Schoen (Los Angeles). We also want to express our appreciation for the members who served through 2024 – Amy Carroll-Scott (Philadelphia) and Lamar Gardere (New Orleans).

The two newest members of the committee are:

Sarah Eisele-Dyrli leads the CTData Academy, running both public and custom workshops that give individuals and organizations the skills to more effectively identify, analyze, and use the data relevant to them. She works on customized data support services with non-profit and state-agencies. She also worked to support a complete count of Connecticut residents in the 2020 Census.

Lee Guekguezian is a community-based researcher committed to decision-making justice and elevating lived experiences through research. As a program director at CURA, they lead initiatives that connect university resources with community-driven projects across Minnesota. Their work focuses on facilitating trust-based collaborations, translating complex findings into accessible narratives, and using data visualization to explore patterns of displacement, ownership, and investment.