Dr. Jonathan Schwabish is founder of the data visualization and
presentation skillsfirm, PolicyViz and a Senior Fellow at the Urban
Institute, a nonprofit research institution in Washington, DC.
There, he is a researcher in the Income and Benefits Policy Center
and a member of the Institute's Communication team where he
specializes in data visualization and presentation design. His
research agenda includes such areas as earnings and income
inequality, immigration, disability insurance, retirement security,
data measurement, the Supplemental Nutrition Assistance Program
(SNAP), and other aspects of public policy. Jonathan is also
considered a leader in the data visualization field and is a
leading voice for clarity and accessibility in research. He has
written on various aspects of how to best visualize data including
technical aspects of creation, design best practices, and how to
communicate social science research in more accessible ways. In
both positions, Jonathan helps nonprofits, research institutions,
and governments at all levels improve how they communicate their
work and findings to their partners, constituents and citizens. He
also teaches data visualization and presentation skills at
Georgetown University, American University, the University at
Buffalo, and in public workshops. He also hosts the PolicyViz
Podcast, which focuses on data, open data, and data visualization.
His book Better Presentations: A Guide for Scholars, Researchers,
and Wonks helps people improve the way they prepare, design, and
deliver data-rich content and his edited book, Elevated the Debate:
A Multilayered Approach to Communicating Your Research, helps
people develop a strategic plan to communicating their work across
multiple platforms and channels. His latest book, Better Data
Visualizations: A Guide for Scholars, Researchers, and Wonks
details essential strategies to create more effective data
visualizations. In today's episode you will learn: • Why the topic
of DataViz is and remains so exciting • Insights from Jon's new
book "Better Data Visualizations: A Guide for Scholars,
Researchers, and Wonks". • Is there one best visualization or one
that always works? • Is there a favorite tool for a DataViz expert?
• More recommendations on other formats and colleagues in the
DataViz environment.
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