Block Chain Episode 2 – Efficiency

By Mark O'Giuliani | January 23, 2018

In the second episode of Block Chains, Michael Bordenaro interviews Joe Manganelli on the efficiency of Block Chain technologies.

The Block Chain series will focus on interviews with people in the A/E/C and other industries that can shed light on how Block Chains will affect the lives of the AECOOO* Community.

*AECOOO – Architects, Engineers, Contractors, Owners, Operators and Occupants

About the guest

Joe Manganelli is the founder of xplr design, llc, a human factors consultancy. He is an architect, Innovation Catalyst, human factors consultant, and sustainability consultant with Fluor Enterprises, Inc. in its Life Sciences and Advanced Manufacturing (LSA&M) division. Manganelli teaches courses on information architecture and user experience research for Kent State University’s School of Information.

Show Notes

Foundations: Nakamoto, Satoshi (24 May 2009). “Bitcoin: A Peer-to-Peer Electronic Cash System” (PDF). Retrieved 5 March 2014.

Graph Theory and Blockchain: http://www.sciencedirect.com/science/article/pii/0095895674900902

Introduction to Graph Theory: http://math.illinois.edu/~dwest/igt/igtpref.ps

Game Theory and Cryptocurrency: https://link.springer.com/chapter/10.1007/978-3-662-53357-4_6

A Primer in Game Theory: https://pdfs.semanticscholar.org/aa54/ff493429db9b6298a6e40a8d7b3adb2737c9.pdf

Bitcoin and Crytocurrency Technologies: A Comprehensive Introduction: https://books.google.com/books?hl=en&lr=&id=LchFDAAAQBAJ&oi=fnd&pg=PP1&ots=ArlKa_5IpC&sig=bDJdeALqQKpvbTMsy7OvVlYfEWo

Network Science & Cryptocurrency: https://link.springer.com/chapter/10.1007/978-3-662-53357-4_6

Network Science: https://books.google.com/books?hl=en&lr=&id=eVddjxBhLsoC&oi=fnd&pg=PT8&dq=network+science&ots=srh8i_JKsu&sig=-O-R9Ifr1l2mOrEr_D6PumY6esg#v=onepage&q=network%20science&f=false

Smart Contracts and Cryptography: https://link.springer.com/chapter/10.1007/978-3-662-53357-4_6

Systems Science: https://books.google.com/books?hl=en&lr=&id=x7O2BwAAQBAJ&oi=fnd&pg=PA1&dq=systems+science&ots=mQPNYC-hix&sig=RttxBwmOolZr9GcT5ut8__mAxNA#v=onepage&q=systems%20science&f=false

Machine Learning and Blockchain: https://blog.bigchaindb.com/blockchains-for-artificial-intelligence-ec63b0284984

Fat Protocol Thesis: http://www.usv.com/blog/fat-protocols