Global citizenshipGlobal citizenship is the idea that one's identity transcends geography or political borders and that responsibilities or rights are derived from membership in a broader class: "humanity". This does not mean that such a person denounces or waives their nationality or other, more local identities, but that such identities are given "second place" to their membership in a global community. Extended, the idea leads to questions about the state of global society in the age of globalization.
CitizenshipCitizenship is an allegiance of a person to a state. Each state determines the conditions under which it will recognize persons as its citizens, and the conditions under which that status will be withdrawn. Recognition by a state as a citizen generally carries with it recognition of civil, political, and social rights which are not afforded to non-citizens. In general, the basic rights normally regarded as arising from citizenship are the right to a passport, the right to leave and return to the country or countries of citizenship, the right to live in that country, and to work there.
History of citizenshipHistory of citizenship describes the changing relation between an individual and the state, known as citizenship. Citizenship is generally identified not as an aspect of Eastern civilization but of Western civilization. There is a general view that citizenship in ancient times was a simpler relation than modern forms of citizenship, although this view has been challenged.
DataIn common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.
Feminist theoryFeminist theory is the extension of feminism into theoretical, fictional, or philosophical discourse. It aims to understand the nature of gender inequality. It examines women's and men's social roles, experiences, interests, chores, and feminist politics in a variety of fields, such as anthropology and sociology, communication, media studies, psychoanalysis, political theory, home economics, literature, education, and philosophy. Feminist theory often focuses on analyzing gender inequality.
Feminist literary criticismFeminist literary criticism is literary criticism informed by feminist theory, or more broadly, by the politics of feminism. It uses the principles and ideology of feminism to critique the language of literature. This school of thought seeks to analyze and describe the ways in which literature portrays the narrative of male domination by exploring the economic, social, political, and psychological forces embedded within literature.
Multiple citizenshipMultiple/dual citizenship (or multiple/dual nationality) is a person's legal status in which the person is at the one time recognized by more than one country under its nationality and citizenship law as a national or citizen of that country. There is no international convention which determines the nationality or citizenship status of a person, which is consequently determined exclusively under national laws, that often conflict with each other, thus allowing for multiple citizenship situations to arise.
European Union citizenshipEuropean Union citizenship is afforded to all citizens of member states of the European Union (EU). It was formally created with the adoption of the 1992 Maastricht Treaty, at the same time as the creation of the EU. EU citizenship is additional to, as it does not replace, national citizenship. It affords EU citizens with rights, freedoms and legal protections available under EU law. EU citizens have freedom of movement, and the freedom of settlement and employment across the EU.
Data scienceData science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession.
Transnational citizenshipTransnational citizenship is a political concept which would redefine traditional notions of citizenship and replaces an individual's singular national loyalties with the ability to belong to multiple nation states, as made visible in the political, cultural, social and economic realms. Unlike national citizenship, where individuals interact in such capacities with one sovereign state, transnational citizenship transcends pre-established territorial boundaries in order to create a modern meaning of "belonging" in an increasingly globalized society.
Data warehouseIn computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence. Data warehouses are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. This is beneficial for companies as it enables them to interrogate and draw insights from their data and make decisions.
Renunciation of citizenshipRenunciation of citizenship is the voluntary loss of citizenship. It is the opposite of naturalization, whereby a person voluntarily obtains citizenship. It is distinct from denaturalization, where citizenship is revoked by the state. The common law doctrine of perpetual allegiance denied an individual the right to renounce obligations to his sovereign. The bonds of subjecthood were conceived in principle to be both singular and immutable. These practices held on in varying ways until the late 19th century.
Big dataBig data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.
Data PreprocessingData preprocessing can refer to manipulation or dropping of data before it is used in order to ensure or enhance performance, and is an important step in the data mining process. The phrase "garbage in, garbage out" is particularly applicable to data mining and machine learning projects. Data collection methods are often loosely controlled, resulting in out-of-range values, impossible data combinations, and missing values, amongst other issues. Analyzing data that has not been carefully screened for such problems can produce misleading results.
Western worldThe Western world, also known as the West, primarily refers to various nations and states in the regions of Australasia, Europe, and the Americas. The Western world likewise is called the Occident () in contrast to the Eastern world known as the Orient (). The West is considered an evolving concept; made up of cultural, political, and economic synergy among diverse groups of people, and not a rigid region with fixed borders and members. Definitions for "Western world" vary according to context and perspectives.
Data dredgingData dredging (also known as data snooping or p-hacking) is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives. This is done by performing many statistical tests on the data and only reporting those that come back with significant results.
GlobalizationGlobalization, or globalisation (Commonwealth English; see spelling differences), is the process of interaction and integration among people, companies, and governments worldwide. The term globalization first appeared in the early 20th century (supplanting an earlier French term mondialization), developed its current meaning some time in the second half of the 20th century, and came into popular use in the 1990s to describe the unprecedented international connectivity of the post-Cold War world.
Data managementData management comprises all disciplines related to handling data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems.
Data analysisData analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Data miningData mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.
