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Cyfrowy humanistycznych - Wikipedia, wolna encyklopedia

Cyfrowy humanistycznych - Wikipedia, wolna encyklopedia
The Digital Humanities are an area of research, teaching, and creation concerned with the intersection of computing and the disciplines of the humanities. Developing from the fields of humanities computing, humanistic computing,[2] and digital humanities praxis (dh praxis[3]) digital humanities embrace a variety of topics, from curating online collections to data mining large cultural data sets. Digital humanities (often abbreviated DH) currently incorporate both digitized and born-digital materials and combine the methodologies from traditional humanities disciplines (such as history, philosophy, linguistics, literature, art, archaeology, music, and cultural studies) and social sciences [4] with tools provided by computing (such as data visualisation, information retrieval, data mining, statistics, text mining) and digital publishing. Objectives[edit] A growing number of researchers in digital humanities are using computational methods for the analysis of large cultural data sets. Related:  Saved Wiki

Valley of the Shadow - Wikipedia, wolna encyklopedia ...the digital article challenges the user to select their own path through the material, following what most closely aligns with their specific interests – “alternative readings” in the words of the authors. Initially, their use of the digital medium seems fairly straightforward until one realizes just how much is there, and as an extension, how much one might miss inadvertently. References[edit] Further reading[edit] Alkalimat, Abdul, The African American Experience in Cyberspace: A Resource Guide to the Best Web Sites on Black Culture and HistorySerge Noiret: "La "nuova storiografia digitale" negli Stati Uniti, (1999-2004)." in Memoria e Ricerca, n.18, January–April 2005, pp.169-185, URL: [1].Serge Noiret: "Y a t-il une Histoire Numérique 2.0 ?” External links[edit] The Valley of the Shadow website

What are the Digital Humanities? You are here: Home >> Support >> Introductions to Digital Humanities >> What are the Digital Humanities? What are the Digital Humanities? By digital humanities, we mean research that uses information technology as a central part of its methodology, for creating and/or processing data. The digital humanities used to be known as Humanities Computing, or ICT (Information and Communications Technology) for humanities research. In one way or another all the humanities are now digital: virtually all researchers use generic digital resources of various kinds, and often some specialist data resources as well. Digital technologies have the power to transform humanities research, making it easier and more efficient, enabling new ways of working, opening up new questions and creating new knowledge, or answering existing questions more fully and systematically. Further reading: A Companion to Digital Humanities, ed.

Digital forensics Aerial photo of FLETC, where US digital forensics standards were developed in the 1980s and '90s Digital forensics (sometimes known as digital forensic science) is a branch of forensic science encompassing the recovery and investigation of material found in digital devices, often in relation to computer crime.[1][2] The term digital forensics was originally used as a synonym for computer forensics but has expanded to cover investigation of all devices capable of storing digital data.[1] With roots in the personal computing revolution of the late 1970s and early '80s, the discipline evolved in a haphazard manner during the 1990s, and it was not until the early 21st century that national policies emerged. The technical aspect of an investigation is divided into several sub-branches, relating to the type of digital devices involved; computer forensics, network forensics, forensic data analysis and mobile device forensics. History[edit] 1980s–1990s: Growth of the field[edit] Application[edit]

Data visualization Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication. It is not owned by any one field, but rather finds interpretation across many (e.g. it is viewed as a modern branch of descriptive statistics by some, but also as a grounded theory development tool by others). It involves the creation and study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variables for the units of information".[1] A primary goal of data visualization is to communicate information clearly and efficiently to users via the information graphics selected, such as tables and charts. Effective visualization helps users in analyzing and reasoning about data and evidence. It makes complex data more accessible, understandable and usable. Data visualization is both an art and a science. Overview[edit] Indeed, Fernanda Viegas and Martin M. Graphics reveal data. Terminology[edit]

DHQ: Digital Humanities Quarterly: Humanities Computing as Digital Humanities Abstract This article presents an examination of how digital humanities is currently conceived and described, and examines the discursive shift from humanities computing to digital humanities. It is argued that this renaming of humanities computing as digital humanities carries with it a set of epistemic commitments that are not necessarily compatible with a broad and inclusive notion of the digital humanities. In particular, the author suggests that tensions arise from the instrumental, textual and methodological focus of humanities computing as well as its relative lack of engagement with the "digital" as a study object. This article is the first in a series of four articles attempting to describe and analyze the field of digital humanities and digital humanities as a transformative practice. In the following, we will start out from a particular example of humanities computing as digital humanities and associated epistemic commitments.

UCLA = SNC | Technologie tekst - S12 I came across a very interesting post from Miriam Posner this past week linking to a web design research project from UCLA. The website is essentially for an undergraduate research assistantship at UCLA in which the class will be building websites for something entitled, “Immersive Coordinates: Digital Anatolia.” After doing some research on exactly what this means I found that it is a project dealing with the development of a software program that uses archaeological data relating to digs in Turkey. As I looked deeper into this website as well as the Digital Anatolia project it got me thinking about how cool it would be if we, as undergraduate digital humanists at SNC, had the opportunity to do just this.

Journal of Digital Humanities Diagrammatic reasoning Diagrammatic reasoning is reasoning by means of visual representations. The study of diagrammatic reasoning is about the understanding of concepts and ideas, visualized with the use of diagrams and imagery instead of by linguistic or algebraic means. Diagram[edit] A diagram is a 2D geometric symbolic representation of information according to some visualization technique. Sometimes, the technique uses a 3D visualization which is then projected onto the 2D surface. The term diagram in common sense can have two meanings. In the specific sense diagrams and charts contrast computer graphics, technical illustrations, infographics, maps, and technical drawings, by showing "abstract rather than literal representations of information".[1] The essences of a diagram can be seen as:[1] Or as Bert S. Logical graph[edit] In the century since Peirce initiated this line of development, a variety of formal systems have branched out from what is abstractly the same formal base of graph-theoretic structures.

Data mining Process of extracting and discovering patterns in large data sets Data 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.[1] 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.[1][2][3][4] Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.[5] 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.[1] Etymology[edit] Background[edit] The manual extraction of patterns from data has occurred for centuries. Process[edit]

Unsworth: What is Humanities Computing and What is not? We are the mimics. Clouds are pedagogues. (Wallace Stevens, Notes Toward a Supreme Fiction.[1]) Any intelligent entity that wishes to reason about its world encounters an important, inescapable fact: reasoning is a process that goes on internally, while most things it wishes to reason about exist only externally.[2] Abstract I'll give the short answer to the question »what is humanities computing? First, I think the question arises because it is important to distinguish a tool from the various uses that can be made of it, if for no other reason than to evaluate the effectiveness of the tool for different purposes. So, one of the many things you can do with computers is something that I would call humanities computing, in which the computer is used as tool for modeling humanities data and our understanding of it, and that activity is entirely distinct from using the computer when it models the typewriter, or the telephone, or the phonograph, or any of the many other things it can be. I. II.