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Cultural Analytics
Cultural analytics refers to the use of computational, visualization, and big data methods for the exploration of contemporary and historical cultures. While digital humanities research has focused on text data, cultural analytics has a particular focus on massive cultural data sets of visual material – both digitized visual artifacts and contemporary visual and interactive media. Taking on the challenge of how to best explore large collections of rich cultural content, cultural analytics researchers developed new methods and intuitive visual techniques that rely on high-resolution visualization and digital image processing. These methods are used to address both the existing research questions in humanities, to explore new questions, and to develop new theoretical concepts that fit the mega-scale of digital culture in the early 21st century. History The term "cultural analytics" was coined by Lev Manovich in 2007. After 2016, this term started to be increasingly used by oth ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data And Information Visualization
Data and information visualization (data viz/vis or info viz/vis) is the practice of designing and creating graphic or visual representations of a large amount of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items. Typically based on data and information collected from a certain domain of expertise, these visualizations are intended for a broader audience to help them visually explore and discover, quickly understand, interpret and gain important insights into otherwise difficult-to-identify structures, relationships, correlations, local and global patterns, trends, variations, constancy, clusters, outliers and unusual groupings within data (''exploratory visualization''). When intended for the general public (mass communication) to convey a concise version of known, specific information in a clear and engaging manner (''presentational'' or ''explanatory visualization''), it is typically called information gra ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Exploratory Data Analysis
In statistics, exploratory data analysis (EDA) is an approach of data analysis, analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell beyond the formal modeling and thereby contrasts with traditional hypothesis testing, in which a model is supposed to be selected before the data is seen. Exploratory data analysis has been promoted by John Tukey since 1970 to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments. EDA is different from Data analysis#Initial data analysis, initial data analysis (IDA), which focuses more narrowly on checking assumptions required for model fitting and hypothesis testing, and handling missing values and making transformations of variables as needed. EDA encompasses IDA. Overview Tukey defined data analysi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Digital Humanities
Digital humanities (DH) is an area of scholarly activity at the intersection of computing or Information technology, digital technologies and the disciplines of the humanities. It includes the systematic use of digital resources in the humanities, as well as the analysis of their application. DH can be defined as new ways of doing scholarship that involve collaborative, transdisciplinary, and computationally engaged research, teaching, and publishing. It brings digital tools and methods to the study of the humanities with the recognition that the printed word is no longer the main medium for knowledge production and distribution. By producing and using new applications and techniques, DH makes new kinds of teaching possible, while at the same time studying and critiquing how these impact cultural heritage and digital culture. A distinctive feature of DH is its cultivation of a two-way relationship between the humanities and the digital: the field both employs technology in the p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software Studies
Software studies is an emerging interdisciplinary research field, which studies software systems and their social and cultural effects. The implementation and use of software has been studied in recent fields such as cyberculture, Internet studies, new media studies, and digital culture, yet prior to software studies, software was rarely ever addressed as a distinct object of study. To study software as an artifact, software studies draws upon methods and theory from the digital humanities and from computational perspectives on software. Methodologically, software studies usually differs from the approaches of computer science and software engineering, which concern themselves primarily with software in information theory and in practical application; however, these fields all share an emphasis on computer literacy, particularly in the areas of programming and source code. This emphasis on analysing software sources and processes (rather than interfaces) often distinguishes so ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
New Media Art
New media art includes artworks designed and produced by means of new media, electronic media technologies. It comprises virtual art, computer graphics, computer animation, digital art, interactive art, sound art, Internet art, video games, robotics, 3D printing, immersive installation and cyborg art. The term defines itself by the thereby created artwork, which differentiates itself from that deriving from conventional visual arts such as architecture, painting or sculpture. New media art has origins in the worlds of science, art, and performance. Some common themes found in new media art include databases, political and social activism, Afrofuturism, feminism, and identity, a ubiquitous theme found throughout is the incorporation of new technology into the work. The emphasis on medium is a defining feature of much contemporary art and many art schools and major universities now offer majors in "New Genres" or "New Media" and a growing number of graduate programs have emerged in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Mining
Data mining is the process of extracting and finding patterns in massive 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. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The term "data mining" is a misnomer because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (''mining'') of data itself. It also is a buzzwo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Visualization
Data and information visualization (data viz/vis or info viz/vis) is the practice of designing and creating Graphics, graphic or visual Representation (arts), representations of a large amount of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items. Typically based on data and information collected from a certain domain of expertise, these visualizations are intended for a broader audience to help them visually explore and discover, quickly understand, interpret and gain important insights into otherwise difficult-to-identify structures, relationships, correlations, local and global patterns, trends, variations, constancy, clusters, outliers and unusual groupings within data (''exploratory visualization''). When intended for the general public (mass communication) to convey a concise version of known, specific information in a clear and engaging manner (''presentational'' or ''explanatory visualization''), it is t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Visual Analytics
Visual analytics is a multidisciplinary science and technology field that emerged from information visualization and scientific visualization. It focuses on how analytical reasoning can be facilitated by interactive User interface, visual interfaces. Overview Visual analytics is "the science of analytical reasoning facilitated by interactive visual interfaces."Jim Thomas (visualization), James J. Thomas and Kristin A. Cook (Ed.) (2005)''Illuminating the Path: The R&D Agenda for Visual Analytics''National Visualization and Analytics Center. It can attack certain problems whose size, complexity, and need for closely coupled human and machine analysis may make them otherwise intractable.Robert Kosara (2007)''Visual Analytics'' ITCS 4122/5122, Fall 2007. Retrieved 28 June 2008. Visual analytics advances science and technology developments in analytical reasoning, interaction, data transformations and representations for computation and visualization, analytic reporting, and technolog ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Information Visualization
Data and information visualization (data viz/vis or info viz/vis) is the practice of designing and creating Graphics, graphic or visual Representation (arts), representations of a large amount of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items. Typically based on data and information collected from a certain domain of expertise, these visualizations are intended for a broader audience to help them visually explore and discover, quickly understand, interpret and gain important insights into otherwise difficult-to-identify structures, relationships, correlations, local and global patterns, trends, variations, constancy, clusters, outliers and unusual groupings within data (''exploratory visualization''). When intended for the general public (mass communication) to convey a concise version of known, specific information in a clear and engaging manner (''presentational'' or ''explanatory visualization''), it is t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cultural Analysis
As a discipline, cultural analysis is based on using qualitative research methods of the arts, humanities, social sciences, in particular ethnography and anthropology, to collect data on cultural phenomena and to interpret cultural representations and practices; in an effort to gain new knowledge or understanding through analysis of that data and cultural processes. This is particularly useful for understanding and mapping trends, influences, effects, and affects within cultures. Themes There are four themes to sociological cultural analysis: * Adaptation and change: this refers to how well a certain culture adapts to its surroundings by being used and developed. Some examples of this are foods, tools, home, surroundings, art, etc. that show how the given culture adapted. Also, this aspect aims to show how the given culture makes the environment more accommodating. * How culture is used to survive; how the given culture helps its members survive the environment. * Holism and s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Culturomics
Culturomics is a form of computational lexicology that studies human behavior and cultural trends through the quantitative analysis of digitized texts. Researchers data mine large digital archives to investigate cultural phenomena reflected in language and word usage. The term is an American neologism first described in a 2010 ''Science'' article called ''Quantitative Analysis of Culture Using Millions of Digitized Books'', co-authored by Harvard researchers Jean-Baptiste Michel and Erez Lieberman Aiden. Michel and Aiden helped create the Google Labs project Google Ngram Viewer which uses n-grams to analyze the Google Books digital library for cultural patterns in language use over time. Because the Google Ngram data set is not an unbiased sample, and does not include metadata, there are several pitfalls when using it to study language or the popularity of terms. Medical literature accounts for a large, but shifting, share of the corpus, which does not take into account how o ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software Studies
Software studies is an emerging interdisciplinary research field, which studies software systems and their social and cultural effects. The implementation and use of software has been studied in recent fields such as cyberculture, Internet studies, new media studies, and digital culture, yet prior to software studies, software was rarely ever addressed as a distinct object of study. To study software as an artifact, software studies draws upon methods and theory from the digital humanities and from computational perspectives on software. Methodologically, software studies usually differs from the approaches of computer science and software engineering, which concern themselves primarily with software in information theory and in practical application; however, these fields all share an emphasis on computer literacy, particularly in the areas of programming and source code. This emphasis on analysing software sources and processes (rather than interfaces) often distinguishes so ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
