Social and Behavioral Sciences Commons^™

Renewable Energy Zoning: Cutting Green Tape While Improving Ecological Outcomes For Renewable Energy Projects, Joanna Elizabeth White

Graduate College Dissertations and Theses

Climate change creates an imperative to develop renewable energy infrastructure, and the state of Vermont has committed to developing new renewables. However, renewables pose significant threats to natural systems because of the dramatic changes to ecosystems that occur with development. Public outcry over new developments and dissatisfaction with the current process used for siting indicate that the old regulatory process may be outdated. This thesis seeks to bridge the divide between ecology and law in renewable energy infrastructure siting. Using the state of Vermont as a case study, it suggests a new, proactive energy planning process that would use spatial …

An Exploratory Analysis Of Twitter Keyword-Hashtag Networks And Knowledge Discovery Applications, Ahmed A. Hamed

Graduate College Dissertations and Theses

The emergence of social media has impacted the way people think, communicate, behave, learn, and conduct research. In recent years, a large number of studies have analyzed and modeled this social phenomena. Driven by commercial and social interests, social media has become an attractive subject for researchers. Accordingly, new models, algorithms, and applications to address specific domains and solve distinct problems have erupted. In this thesis, we propose a novel network model and a path mining algorithm called HashnetMiner to discover implicit knowledge that is not easily exposed using other network models. Our experiments using HashnetMiner have demonstrated anecdotal evidence …

An Exploratory Statistical Analysis Of Nasdaq Provided Trade Data, Michael Foley

Graduate College Dissertations and Theses

Since Benoit Mandelbrot's discovery of the fractal nature of financial price series, the quantitative analysis of financial markets has been an area of increasing interest for scientists, traders, and regulators. Further, major technological advances over this time have facilitated not only financial innovations, but also the computational ability to analyze and model markets.

The stylized facts are qualitative statistical signatures of financial market data that hold true across different stocks and over many different timescales. In pursuit of a mechanistic understanding of markets, we look to accurately quantify such statistics. With this quantification, we can test computational market models against …