RFG 2018 Conference


A Glorious Mess: Perceptual History of New Orleans Neighborhoods

Be skeptical of “official” city neighborhoods, writes Tulane geographer Richard Campanella. Neighborhoods are best delineated, named, and understood by the people who inhabit them, he argues, and in New Orleans, that makes for a glorious mess. Courtesy New Orleans Magazine.  New Orleans: Place Portraits — Over the next nine months, AAG’s “Focus on New Orleans and […]

Essential Geographies of New Orleans Music

Part 2: Rhythms, Blues, and the Infinite Potential of Congo Square What comes after jazz? How does a city reprise its collective creation of the Americas’ most original and distinctive art form? Part 2 of this essay surveys happenings in New Orleans music since the emergence of jazz around the turn of the twentieth century. […]

Non-Killing Geographies

This column is written with a very heavy heart, coming just several days after the deadly mass shooting at the Marjory Stoneman Douglas High School in Parkland, Florida. The massacre ended the lives of 17 students and staff, injured dozens, and left behind many traumatized survivors, as well grieving friends, families, and community members. Counted […]

Granite intrusions: the record-keepers of volcanic systems

by Arianna Soldati, GSA Science Communication Intern – Ph.D. Candidate in Volcanology University of Missouri

“Geology is a fascinating discipline of science, and I am drawn to volcanology in particular,” says Leif Karlstrom, a geology professor at the University of Oregon. Field work supports that fascination, and often makes for humbling experiences, too: “You get a sense of how small you are compared to the structures you are interested in,” reflects Karlstrom. A physicist by training, Karlstrom now specializes in the behavior of complex fluids.

Digitalization... of what?

I've been hearing a lot about 'digitalization', or 'digital transformation', recently. What is this buzzword?

The general idea seems to be: exploit lots and lots of data (which we already have), with analytics and machine learning probably, to do a better job finding and producing fuel and energy safely and responsibly.

At the centre of it all is usually data. Lots of data, usually in a lake. And this is where it all goes wrong. Digitalization is not about data. And it's not about technology either. Or cloud. Or IoT.


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