Washington, DC – Starling, an applied behavioral sciences technology company, has announced the appointment of John Seely Brown to its distinguished Scientific & Academic Advisory Board.  He joins current advisors Thomas Malone (director of MIT’s Center for Collective Intelligence), Nicholas Christakis (director of Yale’s Human Nature Lab), and Karen Cook (director of Stanford’s Institute for Research in the Social Sciences).

Known to most as “JSB,” John Seely Brown was the Chief Scientist of Xerox Corporation and, for two decades, director of the renowned Xerox Palo Alto Research Center (PARC) — birthplace of the PC, Ethernet, laser printer, and other ground-breaking innovations.
JSB served for fourteen years on the board of directors at Amazon and has served on the boards of the MacArthur Foundation, In-Q-Tel, and numerous other firms, both public and private.  A leading thinker and writer on the AI-enabled workplace of the future, JSB has been awarded 11 honorary doctorate degrees, and is a member of the American Academy of Arts and Sciences, the National Academy of Education, and is a Fellow of the American Association for Artificial Intelligence.  He has published nine books and over a hundred papers in scientific journals.
“Starling is building what I like to call ‘Epic Tech,’ and I’m delighted to join their advisory team,” said Seely Brown.  “Invisible networks of social ties within organizations facilitate the flow of critical but intangible dynamics, like trust, identity, and social capital.  These dynamics shape how we think, what we believe, and how we behave,” he added.  “By making such forces visible and actionable, Starling’s Predictive Behavioral Analytics tools enable management foresight, and allow us to work proactively to mitigate behavioral risks and to optimize organizational performance.  This is important work.”
“JSB is a Silicon Valley legend,” said Starling founder & CEO Stephen Scott.  “For decades he has led the way in demonstrating how complex systems science can – and must – be brought to the design of solutions to real world challenges.  In so doing, he has inspired countless tech pioneers, and we are incredibly fortunate to have him with us at Starling,” he added.  “I look forward to building our next-generation management tools with his guidance and continued inspiration.”

 About John Seely Brown

JSB is currently the Independent Co-Chairman for Deloitte’s Center for the Edge, where he pursues research on institutional innovation and a reimagined workplace.  In his more than two decades as head of PARC, JSB transformed the organization into a truly multidisciplinary research center, integrating social sciences and the arts into the traditional physics and computer science research, and expanding the role of corporate research to include topics such as the management of radical innovation, organizational learning, and complex adaptive systems. 
JSB has received 11 honorary doctorate degrees in four fields (science, design, public policy, humane letters) and a PhD from the University of Michigan.  He is a member of the American Academy of Arts and Sciences, the National Academy of Education, and a Fellow of the American Association for Artificial Intelligence.  JSB has published nine books and well over a hundred papers in scientific journals.  His most recent book is:  Design Unbound – Designing for Emergence in a White Water World, with Ann Pendleton-Jullian.

JSB is a visiting scholar and adviser to the provost at the University of Southern California, where he facilitates collaboration between the schools for communication and media and the Institute for Creative Technologies.  He was a co-founder of the Institute for Research on Learning, and his personal research interests include new approaches to learning, digital youth culture, digital media, and the application of technology to accelerate deep learning within and across organizational boundaries—in brief, to design for emergence in a constantly changing world.

About Starling

Starling is an applied behavioral sciences company using machine learning and network science to build what it calls “augmented management intelligence” tools.  Its predictive behavioral analytics technology reveals the performance impact of relational trust dynamics within organizations.  Based on this data, Starling’s proprietary algorithms generate actionable insights, displayed through intuitive and customizable dashboards, enabling business leaders to drive improved performance and desired culture – and to identify and mitigate behavior-related risks before they cascade into crises.