An Inside Higher Ed interview with the author of “The Academic’s Guide to Social Media” -Cyberculture roundup…

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The Academic’s Guide to Social Media

 

Author discusses book on how and why academics should use social media for scholarly purposes.

July 22, 2016

By

Carl Straumsheim

Writing about social media is “dangerous,” according to Mark Carrigan, a sociologist and academic technologist at the University of Warwick, in Britain. In the time to take to finish a book on the topic, platforms launch and die, and fads come and go.

But he has written a book about it anyway. His Social Media for Academics (SAGE Publications) is not meant to be the final word on the topic, but a guidebook to how academics can use social media to publicize their work, build their networks and manage information — and how to find the time.

Ant colonies could inspire better network algorithms and robot swarms

Boing Boing by David Pescovitz

Colonies of ants base decisions like where to establish a nest based on their population density. Scientists theorize that ants can estimate how many of their kind are around by randomly exploring the area and bumping into other ants. New research from MIT computer scientists not only supports this theory but could also be used to analyze social networks, improve robot swarms, and yield improve algorithms for networked communications in distributed computing applications. From MIT News:

‘Pokémon Go’ has a hidden benefit

Mashable! by Ryan Sedmak

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Some Pokémon Go players have taken to Twitter to discuss the possible mental health benefits of playing the game.

Newlywed honeymoons without husband, copes through Facebook photo comedy

Mashable! by Chloe Bryan

Who needs a honey to have a great honeymoon?

The woman who honeymooned without her husband

BBC News | Europe | World Edition

A woman whose husband couldn’t get a visa for their honeymoon in Greece goes without him – and has her picture taken at every location to show how much she misses him.

Inside Facebook’s Artificial Intelligence Engine Room

 MIT Technology Review

These are the new computers Facebook created to accelerate its machine learning research.

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