I got into a long and highly theoretical debate with a fellow Phd student recently, and it prompted this post. It started out as a conversation about a bad class we both took together, and started to veer off into who would, could or would’ve done well in that course. The conversation then steered itself into the concept of geniuses, hard workers, and contributions to society – big and small.
The terrible thing that we as a society often do to ourselves is to label some of us as geniuses – those special alien beings that can do what we can’t. Popular culture would have you believe that those people truly exist. You’ll hear stories about the [...]
As if print publications in the academic community have simply and finally given up altogether, my experience with Science Magazine over the past year has been emblematic of a business model that is struggling for survival. Let me give you some background:Summer of Science
Last summer, as the sun was shining and the birds were chirping and I was feeling the urge to expand my mind so that I can take it all in from the heavens, I decided to support my academic community and the print industry by subscribing to Science Magazine/Journal – one of the premiere science journals in the world, trumped only by Nature (which I’m also a subscriber to). Science is also a [...]
I have been working with networks now for a long time (maybe since 2008?), and after many projects and thousands of hours spent on studying and working with networks, I’ve recently started looking into subjects that make use of graph theory in an attempt to take what I know about graph theory and see if I can build some complementary skills in other areas. So when I started taking a Bayesian Networks (Graphical Probability) course, I was pleasantly surprised at how interesting and how much can be transferred over in terms of basic concepts.Networks are not Networks
The truth is however, the term networks in Bayesian [...]
The ridesharing economy is experiencing rapid growth and progress. Companies such as Uber and Lyft are continuing to grow while providing their platform as an organizing medium for ridesharing, increasing consumer utility as well as employing thousands in part-time positions.
However, many challenges remain in the modeling of and understanding of rides-haring services, many of which are not currently under investigation by the academic community. In this paper an agent-based model is developed to simulate a ridesharing service in the Washington D.C. metropolitan region. The model forms the basis for future experiments to determine the levels of utility to both riders and [...]
So the analysis of negative ties in social networks is a growing field of study in academic circles and by social network theorists as well as agent-based modelers. Negative ties are basically a network relationship based on some negative or dislike or opposition attitude toward another actor in a network environment. Negative tie analysis is not clearly understood in the literature, and treatment of negative ties both structurally and mathematically is an area of early development in social network methodology and analysis.
But the space is going to become more important. Understanding group behavior under negative tie conditions is an increasingly important [...]
This past Wednesday, Dr. Jay W. Forrester – the pioneer of the system dynamics methodology of modeling and simulation and arguably the father of all of modern modeling and simulation passed away. Dr. Forrester created the collection of methods that is known as system dynamics.
System dynamics essentially uses differential equations to describe the stocks and flows that move and govern the behavior of systems as diverse as population growth systems, innovation adoption in a market, the movement of good through a supply chain and even the movement of fluids through a pipe. SD applications are wide and varied and honestly it would take too long to go through all [...]