Archaeologist and Author Dr. Rebecca Wragg Sykes – BGM Interview

Dr. Rebecca Wragg Sykes is an archaeologist, writer and creative professional. She earned her Ph.D. in Archaeology from the University of Sheffield (UK) in 2010. She is the author of the just published book Kindred which is about Neanderthal life, love, death and art.

Dr. Sykes attributes her interest in Archaeology to “mucking around in the dirt in the backyard” as a child. But also her parents took her to historic sites on holidays. Then she started devouring books about the ancient Egyptians. By and by, she became keenly interested in the reality of life in the past. Rebecca humorously explained how “Archaeology is like Anthropology but for dead people.” In segment two, we explored her new book about the Neanderthals, and it was mesmerizing. For example, new findings have proven that there was interbreeding with Homo sapiens. There is much more in this delightful show.

Get In Touch:

Sponsors

Today our sponsor is Linode.

Whether you’re working on a personal project or managing enterprise infrastructure, you deserve simple, affordable, and accessible cloud computing solutions that allow you to take your project to the next level.

Simplify your cloud infrastructure with Linode’s Linux virtual machines and develop, deploy, and scale your modern applications faster and easier.

Get started on Linode today with a $100 in free credit for listeners of Background Mode. You can find all the details at linode.com/bgm

Linode has 11 global data centers and provides 24/7/365 human support with no tiers or hand-offs regardless of your plan size. In addition to shared and dedicated compute instances, use your $100 in credit on S3-compatible object storage, Managed Kubernetes, and more.

Visit linode.com/bgm and click on the “Create Free Account” button to get started.

Thanks Linode for being our sponsor.

Show Notes

My Background Mode interview with Rebecca Wragg Sykes

_______________________

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.