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Showing posts with the label big data

The Dangers of Hacking-Is China Opening an Era of Cyber Warfare?

The cost of corporate hacking and cyber warfare is a growing problem that results in the loss of over a hundred billion dollars annually. It is difficult to measure the costs of hacking as many such attacks, and the impact are difficult to track.  The Recent theft of up to 4 million federal workers has raised concerns of government hacking and its potential impact on the nation. Cyber warfare and corporate theft are an attractive option because it doesn’t require a direct confrontation with any entity. In the Information Age, data is the primary transactional unit of understanding and getting things done. In many cases, information determines who has the upper hand in a conflict. Collecting mass amounts of data is not an innocent affair. If information obtained through cyber attacks is funnelled to the right people(s) and cross-examined for similarities, robust profiles of important people emerge. Profiles can include medical records, family members, spending habits, phone number

The Benefits of Big Data and Forecasting in Today's Economy

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Forecasting is a prediction of some future event. It is used as a mechanism for strategic planning in most industries but is pronounced in marketing, economics, human resources and investing that rely on future predictions to determine the best courses of actions. Forecasting affords the ability to understand market risks as companies seek to stay ahead of changes and adjust their processes to meet market challenges. Forecasting can be simple or it can be complex. Typically methodologies use formulas and strict processes to ensure they are giving fair weight and evaluation to the necessary factors used in making that prediction. The process is so important that people have made their living simply off of analyzing information and making usable intelligence for others. Predictions are as much likely to be wrong as they are to be correct. The problem with predictions is that no one can truly know the exact possibility of the future or all of the outlier events that can change a cou

The Webinar: Era Of Big Data: Tracking Students To Completion Using Longitudinal Data

Tuesday, June 17, 3:00-4:30 (Eastern) online webinar Info: In all levels of education, the emphasis on using data to help improve student outcomes has never been greater. Institutions are collecting information on student characteristics, academic readiness, and eventual outcomes. As concentration increases, it is incredibly powerful to take a close look at tracking students through completion with longitudinal data. Using community colleges as a framework, this webinar will help participants think about their longitudinal student-level and course-level data, as well as applications of the data in their work. We will begin with the fundamentals of longitudinal data and discover how researchers ask questions on data availability and evaluations of interventions. We will then use a sample dataset that records course-taking behavior over a number of years, and use commands in Stata (a general purpose statistical software package) to run descriptive statistics and create new variables us

Call for papers: 11th International Conference on Technology, Knowledge and Society.

University of California at Berkeley Clark Kerr Conference Center Berkeley, California, USA 23-24 February 2015 Deadline: November 11 th , 2014 Proposals for paper presentations, workshops, posters, or colloquia are invited for the Eleventh International Conference on Technology, Knowledge, and Society at the University of California at Berkeley, in Berkeley, California, USA, from 23-24 February 2015 . We welcome proposals from a variety of disciplines and perspectives that will contribute to the conference discourse. We also encourage faculty and research students to submit joint proposals for paper presentations or colloquia. SPECIAL CONFERENCE FOCUS: "Big Data and the Politics of Participation in a Digital Age" CONFERENCE THEMES: Proposals are invited that address technology through one of the following categories: Theme 1: Technologies for Human Use Theme 2: Technologies for Learning Theme 3: Technologies in Community Theme 4: Technologies for