Field-building efforts—whether through networks, capacity strengthening, or digital public goods—are vital to advancing social impact. But how do we evaluate their effectiveness? This interactive session explores practical strategies for evaluating field-building initiatives, drawing on real-world examples from data.org and TSIC. We’ll share lessons on defining field-building impacts, measuring reach and influence, and learning in complex systems. Join us to exchange ideas on evaluation methods that capture the collective, long-term change that field-builders aim to create.
Speakers
Avinash Laddha is the Senior Data Analyst at data.org, supporting the various initiatives and product team in deriving value and insights from data.
Read moreDr. Paul K. Korir is a distinguished professional with a Ph.D. in Computational Biology from the University of Galway, Ireland, and extensive experience in data science, bioinformatics, and software development. As the current Director of Data Science at data.org, he leads innovative projects in data science.
Read moreYu-Shan Chiu has led 50+ impact and learning projects across a host of social impact sectors.
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