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"Political parties Computer network resources."
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Social media, parties, and political inequalities
\"How have social media transformed politics in Western democracies? This book examines this question focusing on the power balance between and within parties in the Netherlands from a comparative perspective. Jacobs and Spierings also investigates topics such as local/European politics and the impact on women and ethnic-minorities\"-- Provided by publisher.
Book
Benefits of Rent Sharing in Dynamic Resource Games
Ngo Van Long’s classic paper on the risk of expropriation of natural resources published in a 1975 issue of the
Journal of Economic Theory
was an instant classic, which spawned a huge literature. Here I pay tribute to this wonderful brilliant yet modest scholar by briefly reviewing his contribution and then sketching how his insights can be used to analyse dynamic conflict over natural resources both as expropriation game and as a differential game on which Long has published extensively too. We discuss three results. First, if an incumbent faces a threat of a rival faction, extraction is more voracious if the factions do not share rents equally. Second, never-ending political conflict cycles are more inefficient if constitutional cohesiveness or rent sharing is strong and political instability is high. Third, resource wars are more intense if rent sharing is weak, reserves of resources are high, the wage is low, and elections occur less frequently.
Journal Article
Spatial distribution of solar PV deployment: an application of the region-based convolutional neural network
Solar photovoltaic (PV) deployment plays a crucial role in the transition to renewable energy. However, comprehensive models that can effectively explain the variations in solar PV deployment are lacking. This study aims to address this gap by introducing two innovative models: (i) a computer vision model that can estimate spatial distribution of solar PV deployment across neighborhoods using satellite images and (ii) a machine learning (ML) model predicting such distribution based on 43 factors. Our computer vision model using Faster Regions with Convolutional Neural Network (Faster RCNN) achieved a mean Average Precision (mAP) of 81% for identifying solar panels and 95% for identifying roofs. Using this model, we analyzed 652,795 satellite images from Colorado, USA, and found that approximately 7% of households in Colorado have rooftop PV systems, while solar panels cover around 2.5% of roof areas in the state as of early 2021. Of our 16 predictive models, the XGBoost models performed the best, explaining approximately 70% of the variance in rooftop solar deployment. We also found that the share of Democratic party votes, hail and strong wind risks, median home value, the percentage of renters, and solar PV permitting timelines are the key predictors of rooftop solar deployment in Colorado. This study provides insights for business and policy decision making to support more efficient and equitable grid infrastructure investment and distributed energy resource management.
Journal Article
Political Parties in the Digital Age
The Internet and \"social media\" may initially have been understood as just one more instrument politicians could employ to manage without political parties. However, these media cannot be reduced to being a tool available solely to politicians. The electronic media make reinforcement of the \"glocalization\" of the public and political sphere, a process already set in motion with the advent of television, and they can develop the trend even further.
Political parties are therefore once again becoming indispensable; they are in an unparalleled position to recreate social and political bonds, for only they stand both at the center and on the periphery of the new sphere encompassing public and political life.
eBook
Electronic Resources in the Study of Elite Political Behaviour in Taiwan
The objective of this article is to survey the abundance of primary source electronic data, and appropriate methods, which could be used to advance the study of elite politics in Taiwan. Research on public attitudes and voting behaviour has benefited enormously from open scholarly access to systematically collected, reliable data resources. Research on elite political behaviour in Taiwan could similarly benefit from the creation of supplementary datasets derived from electronic primary sources. I argue that the primary resources and methods needed are already in place, for instance, to produce quantitative estimates of the policy preferences and ideological positions of parties and individual political actors over time. A variety of political texts created by political actors at all levels of office (and indeed, in opposition) are readily accessible online. With a small degree of processing, these electronic texts can easily be rendered in machine-readable format for analysis by means of computer-assisted content analysis software. Despite successes in other contexts, these data and methods are currently underutilized in studies of elite political behaviour in Taiwan.
Journal Article
Red, Blue, and Purple America: The Future of Election Demographics
Analyzes changing patterns of immigration, settlement, demography, family structure, and religion, describing trends and their impacts on 2008 politics and beyond. Lays out implications for public policy and shows how these trends have shaped the Red and Blue divisions and might break apart those blocs in new and surprising ways.
eBook
MoneyWatch Report
And there are some privacy concerns over Amazon's new Wi-Fi sharing feature. Customers with Echo and Ring devices will automatically be opted into the new Sidewalk feature. It takes a small slice of the user's Wi-Fi bandwidth, so devices even though it's owned by someone else can work over a longer distance. The new network will be rolled out last this year in the U.S., and users can disable the feature.
Transcript