Early Indications

Early Indications is the weblog version of a newsletter I've been publishing since 1997. It focuses on emerging technologies and their social implications.

Wednesday, January 30, 2019

Early Indications January 2019: The organizational context for machine learning

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Much attention is paid to the necessity for innovation, typically at the level of a technology: a molecule, a machine, a circuit. While t...

Saturday, December 29, 2018

Early Indications December 2018: 5 Weak Signals

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2018 was a challenging year for much of the tech world, and not only because of the depressed stock market. A number of high-profile failur...

Wednesday, October 31, 2018

Early Indications October 2018: More

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This month’s news cycle featured news that a single ticket matched the numbers necessary to win a $1.5 billion prize. South Carolina, whe...

Sunday, September 30, 2018

Early Indications September 2018: Why can’t your organization innovate like DARPA?

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Following up on last month’s newsletter, which asked who was going to generate the big-scale innovations required for a growing ...

Sunday, September 16, 2018

Early Indications August 2018: The Next Big Innovation?

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Few books have stuck with me the way Geoffrey West’s Scale (reviewed here last summer) did. I don’t fully buy the book’s argument for the a...

Sunday, July 22, 2018

Early Indications June 2018: The Future of Home Entertainment

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In the grand scheme of things, “home entertainment” of the electronic variety is a very young phenomenon. Radio is only about 100 years old...

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About Me

John M. Jordan: John Jordan is a professor of practice at the Syracuse University School of Information Studies. He joins the iSchool from the Department of Supply Chain & Information Systems at Penn State, where he taught in the master's and undergraduate business programs. Formerly a principal with Ernst & Young/Capgemini, he directed research at the Center for Business Innovation and the Americas Office of the CTO. John holds a Ph.D. from the University of Michigan as well as a master’s from Yale University, and graduated from Duke University. Prior to entering consulting, he won teaching awards at the University of Michigan and Harvard University; in 2011, 2012, and 2013 he was honored among the best 2nd-year MBA professors at Penn State's business school. A new book on 3D Printing was published by MIT Press in 2019. His book on robotics was published by MIT Press in 2016 and is being translated into six languages. In 2012 he published Information, Technology, and Innovation with John Wiley.

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