Data science for good means designing for people: Part 2

So many of the data projects making headlinesfrom a new app for finding public services to a new probabilistic model for predicting weather patterns for subsistence farmersare great accomplishments but dont seem to have end users in mind. Discover how organizations are designing with, not for, people, accounting for what drives them in order to make long-lasting impact.

DataKind founder and executive Jake Porway hosts two back-to-back sessions that explore diverse examples of how organizations are applying data science for good by designing for people. In this second session, Daniella Perlroth, Tim Hwang, and Lucy Bernholz explain how their organizations approach designing with people, accounting for their habits, their data literacy level, and, most importantly, for what drives them in order to make long-lasting impact. Daniella discusses her work at Lyra Health, a technology company transforming behavioral health with data and a human touch. Tim explores how popular coverage of technologies at the intersection of data and automation is often overhyped and misses critical realities about the overall landscape. He explores how a different approach might create better outcomes as policymakers look to write laws and protect the public interest in the space. Lucy demonstrates best data practices for civic society organizations through her work at the Digital Civil Society Lab, which is creating a set of shared principles for civil society organizations that are developing data practices and governance mechanisms. She outlines the first three principles, discusses how they were derived, and explains how you can contribute to this ongoing work.