Navigating Inclusive Philanthropy: Addressing Historical and System Biases in Prospect Development and Data Tracking and Reporting

This session delves into the complex interplay between philanthropy, data, and social justice. We will explore how historical practices like redlining have left lasting imprints on our data landscapes, influencing prospect identification and perpetuating disparities in wealth distribution. Through a critical lens, we'll examine the implications of using traditional wealth indicators to construct portfolios and pipelines for people of color. 

By relying solely on conventional metrics, we risk further marginalizing communities that have historically been excluded from wealth-building opportunities. Moreover, we'll discuss strategies for mitigating these biases and fostering a more inclusive approach to philanthropy. This includes reimagining data collection methodologies, challenging assumptions about wealth, and centering the voices and experiences of marginalized communities in decision-making processes.

Learning Objectives:

• Attendees will comprehend the historical and systemic biases embedded within databases and data tracking systems, particularly regarding their impact on marginalized communities.
• Attendees will critically evaluate the limitations of traditional wealth indicators in accurately representing the financial status of diverse communities, especially in philanthropic contexts.