Mark B. Benya

Mark B. Benya
The London School of Economics and Political Science | LSE · Department of Management

BA (English Literature), BSc (Computer Science), M.Sc. (Management of Information Systems & Digital Innovation)

About

14
Publications
1,113
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
11
Citations
Introduction
Graduated with a Merit from The London School of Economics and Political Science in Management, Information Systems and Digital Innovation (M.Sc.) | Dissertation topic: Information Systems and Database design.
Additional affiliations
August 2014 - present
Statesmen Properties
Position
  • Partner
Description
  • Efforts have consisted of working on the Information System organisational hierarchy pertaining to monthly rent roll, annual re-leasing, & tenant support tickets (through the leveraging of an Artificial Intelligence based response framework).
January 2014 - August 2014
NASA
Position
  • Developer
Description
  • Oversaw the design and development of a sensor array based mobile application (in C#) for use in the Engineering Development Laboratory as part of the Advanced Ground Systems Maintenance (AGSM) project.
May 2012 - January 2014
McDonald's Corporation
Position
  • Supply Chain Technology Developer
Education
September 2017 - December 2018
The London School of Economics and Political Science
Field of study
  • (M.Sc.) Management, Information Systems & Digital Innovation
September 2010 - May 2014
Hobart and William Smith Colleges
Field of study
  • (BSc) Computer Science and (BA) English Literature

Publications

Publications (14)
Thesis
Full-text available
In the affiliate marketing industry, Algorithmic Management Software (AMS) is leveraged by firms for all tasks associated with staffing-onboarding, oversight, regulation and quality assurance that pertain to freelance and telecommuter labor; labor that is almost entirely conducted remotely via hyperspecialized information systems. Simply meaning th...
Article
Full-text available
Today the average person using electronic media has opted into a host of legal contracts [aka Terms of Service (ToS)]. Each of these ToS is focused on securing the user's "express written consent", primarily to deflect blame away from the firm and hinder any rightful action taken on behalf of the user. Furthermore, the ToS are built off of outdated...
Research
Full-text available
This paper posits the benefits of a Predictive Artificial Intelligence solution-trained via a multilayer Neural Network-for any and all inquiries that fall under the theoretical purview of a relationship between a landlord and their tenant(s).
Preprint
Full-text available
Akin to the dynamic fluidity of water which congeals into a rigid body of ice when left within a gelid space, the brain's plasticity has been thought to gradually shed its elasticity as the passage of time wears away on our neurons, synapses, and overarching metaplasticity. Yet, recent studies indicate that cognitive plasticity is far more mutable...
Preprint
Full-text available
An apace Internet of Things (IoT) ecosystem, comprised of roughly 20 billion interlinked phones - tablets - smartwatches - computers - and other such devices, provides an overwhelming amount of connectivity for the collective planet. Yet, there exists a dearth of societally and environmentally beneficial uses for this abundance of tethered computin...
Research
Full-text available
An analysis of several prominent Neural Network training methods was undertaken in an effort to positively augment Real Estate management tasks. Specifically, supervised learning techniques that utilize the following: clustering & classification algorithms, pattern association, forecasting, and other relevant statistical analysis techniques. Addi...
Research
To explore prominent methods of hydrocarbon extraction in the current market ecosystem. Specifically a biomass extraction technique that utilizes a solvent based - closed loop system - approach.
Article
Full-text available
A variety of hydrocarbon extraction methods, their corresponding material yields & losses, and the resulting product applications are extrapolated on in this section.
Research
Full-text available
This paper posits the benefits of a Narrow Artificial Intelligence solution-trained via a multilayer Neural Network-for any and all inquiries that fall under the theoretical purview of a relationship between a landlord and their tenant(s).
Research Proposal
Full-text available
The impact of autonomous technology (i.e. Artificial Intelligence driven by algorithms, Neural Networks, and other affiliated technologies) on public healthcare sector and corporate organisational decisions is growing at exponential rates. This research proposal outlines the various forms of Artificial Intelligence and learning techniques, as well...
Research Proposal
Full-text available
Numerous pitfalls can derail or bring about the end of a project: be it a large-scale piece of software for a Fortune 500 company or a simple bootstrapped mobile application built in the next internet entrepreneur's basement. Furthermore, the definition of failure is biased to each project depending on who is asked thanks to the unique lenses and p...

Projects

Projects (8)
Project
To leverage a form of tertiary - micro - kinetic - actions, across a vast pool of account holder devices, in order to positively amplify and speed up the determination of a capsid's ideal antibody.
Project
In an effort to design a random number generation technique that does not become predictable after a finite amount of time, this paper explores the benefits derived from several random number generation techniques that center on the coupling of Natural Autonomous Systems (NAS), with that of a range of rudimentary digital outputting devices.
Project
To determine if a predictive (narrow) artificial intelligence is best suited for supervised or unsupervised learning techniques when it is configured to handle real estate management tasks. Additionally, can we quantify, and express as a factor, the impact of an artificial intelligence on the working efficiencies of any and all systems or processes that pertain to rent roll, re-leasing, or generic support ticketing.