Presentation

Using machine learning and big data from nonprofit IRS 990’s, foundation and other charitable giving, zip code level economic data, and population demographics, we can predict, among other things, which nonprofits will be financially healthy and why. Join us for a workshop with Pete York, evaluation expert and data scientist, who will share how these methods can help program officers, leaders and managers discover precisely what works, for whom and to use on-demand insights to achieve better outcomes. 

Resources for Assessing Grantees’ Financial Health And Long Term Sustainability Program 12-11-18

Presentation from 9/11/18 Grants Managers Learning Network Program:  The Data Transformation of Philanthropy

The nation’s opioid crisis did not result overnight. A “perfect storm” has been brewing and sweeping our nation for decades and Pennsylvania is being hit hard. Currently, the state possesses the fourth-highest rate of drug overdose. On average, 13 Pennsylvanians die each day and more than half of the drug overdoses occur due to opioid misuse.  Stakeholders are working diligently to combat this crisis, but resources are limited, data and systems remain fragmented, and policies are outdated.