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Open Data Source for Election 2014
Open data are the data that can be freely redistributed and used by anyone for personal or research purpose. One of the examples of open data is a government data that contain tremendous resources. Moreover, the open government data can assist in making a better decision. By law, the government data should be opened to anybody. Thus, the political analysts and statisticians have taken the advantages of the open data to generate a big data for the U.S. 2014 senate election in order to predict the outcome of the election results.
The purpose of this research is to investigate the role of big data for the analysis of the 2014 U.S. senate election. Since 2012, the big data has played a major role in the U.S. politics. In 2012, the Republican used the data analytics in winning the 2012 Presidential election by using the...
Despite the benefits that can be derive from big data analytics in predicting election results; the use of big data is still new. By consequent, no comprehensive research paper investigates the role of big data in predicting the U.S. election results. The research will attempt to fill the gap by providing a comprehensive research paper on the role of big data in the 2014 U.S. senate election.
Rationale of the Research
The rationale of the research is to enhance a greater understanding of the policy makers, business community and academic community on the importance of the big data in forecasting the election results in the United States. Big data has played a tremendous role in providing analysis for the U.S. Senate 2014 election. For example, the Republican has turned data into votes using powerful GIS (Geographical Information Systems) software to create an accurate voter targeting. The big data has also assisted in collecting detailed information of more than 250 million American voters. On September 3, 2014, the FiveThirtyEight used the big data to forecast the results of the 36 U.S. Senate elections, and it was forecasted that the Republican would have a 64% chance of winning majority seat in the Senate. Based on the data driven approach from the Big Data, it is revealed that data analytics play a bigger in understanding the voters' sentiment. (The Economist, 2014).
Woodie, (2014) argues that political scientists have been able to discover the strategy to predict the voter sentiments using the…
Reference
Scherer,(2012). Inside the Secret World of the Data Crunchers Who Helped Obama Win, Time, Nov. 7, 2012.
Shen, G. (2013). Big Data, Analytics and Elections. Analytics Inform.
The Economist (2014). The Republicans win the Senate. The Economists.
Woodie, A. (2014). How Data Analytics Shaped Election Day 2014. Datanami.
Big Data Faris (2013) speculates as to whether NSA leaks will compromise big data's future. The article, published on the website Dataversity, notes that there is public concerns about data leaks at NSA. Consumers are becoming more aware about just how much of their information is available to the government. The author calls into question the dichotomy of private data and public data, in particular were corporate entities are gathering data,
Big Data Role in Obama Re-Election The volumes, rapid velocity and variation of data otherwise referred to as Big Data has been used in the electioneering process especially in terms of directing the trends of voter psychology and the subsequent voting patterns, a specific example being the Obama reelection process that took more of the internet direction than the traditional door-to-door approach in the campaigns. This paper will hence expound on
product is a software application that gathers information from consumers via credit and debit card purchases. This information is then used to predict future purchases. This application is basically an extension of the buyer predictive software that is used by many online retailers already, except that is uses a broader purchasing pattern, giving more data points when compared with current applications on the market. Where Amazon might use past
Decreased Usage of Nuclear Energy: Qualitative-Content Analysis ADissertation Presentedusing the Qualitative Content-Analysis inPartial Fulfillment of the Requirements for the Degree of Doctor ofManagement in Environmental and Social Sustainability Komi Emmanuel Fiagbe Gbedegan Caroline WesterhofPH-D Chair Dr. Daphne DeporresPH-D Committee Member Dr. Steven Munkeby, PH-D Committee Member Date Approved Komi Emmanuel Fiagbe Gbedegan, 2016 A qualitative content analysis will be conducted to explore the phenomenon of decreased usage of nuclear energy at a time when global climate change indicates the
Management Research in Decreased Usage of Nuclear Energy: Content Analysis A Dissertation Presented using the Qualitative Content-Analysis Komi Emmanuel Fiagbe Gbedegan Caroline Westerhof PH-D, Chair Dr. Steven Munkeby PH-D, Committee Member Dr. Daphne Deporres PH-D Committee Member Date Approved Komi Emmanuel Fiagbe Gbedegan, 2016 A qualitative content analysis has been conducted to explore the phenomenon of decreased usage of nuclear energy at a time when global climate change indicates the need for increased usage of nuclear energy.
Decreased Usage of Nuclear Energy: A Qualitative Content Analysis A Dissertation Presented using the Qualitative Content-Analysis Komi Emmanuel Fiagbe Gbedegan Christina Anastasia PH-D, Chair [Committee Name], [Degree], Committee Member [Committee Name], [Degree], Committee Member Date Approved Komi Emmanuel Fiagbe Gbedegan, 2016 A qualitative content analysis will be conducted to explore the phenomenon of decreased usage of nuclear energy at a time when global climate change indicates the need for increased usage of nuclear energy. Qualitative analysis involves obtained