Speaker: Brad D. Messner, Professor, Computer Science, Seton Hill University, USA
Watch the Session: https://app.knowmia.com/NOtw
Session description: This presentation focuses on the usage of blockchain to create equitable and fair financial systems across a collection of diverse economic environments. Time will be spent to determine if blockchain reduces the transaction and processing costs realized by enterprises and, if so, does this reduction increase the opportunity for under-resourced countries to complete globally or does it just shift the resource expectations keeping economic barriers in place. Topics such as using blockchain technology to simplify international contracts and traded, reducing fraud in environments with a minimal security infrastructure, and stabilizing exchange programs will be discussed. The second half of my presentation will focus on what would be necessary to design an improved commerce model for currently under-resourced economies and designing exchanges systems built for the next decade, not just a modification of legacy systems. Wrapping up in the end, we will discuss whether these proposed changes are ethical and fair in a global, competitive ecosystem.
Bio: Brad Messner is a Professor at Seton Hill University and teaches courses in Computer Science, Cybersecurity, Data Analytics and Data Science. Working at a Liberal Arts University provides for the opportunity to have powerful and impactful conversations about ethics, empathy, and individualism. Brad is also a third-generation owner of a local accounting firm that specializes in income tax preparation and tax planning. He continually tries to find avenues to discuss blockchain and cryptocurrency-related topics within his courses. Brad obtained a BS in Business and Information Systems from the University of Pittsburgh as well as an MBA from Indiana University of Pennsylvania. He is currently working on his doctorate with a concentration in Management Information Systems and the intended dissertation of the utilization of blockchain technology coupled with machine learning to assist on improvement tax management and planning. Prior to his time at Seton Hill University, Brad owned a global software company and worked with clients of all sizes and from diverse economic infrastructures