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Frictionless Data: Making Research Data Quality Visible| International Journal of Digital Curation
"There is significant friction in the acquisition, sharing, and reuse of research data. It is estimated that eighty percent of data analysis is invested in the cleaning and mapping of data (Dasu and Johnson,2003). This friction hampers researchers not well versed in data preparation techniques from reusing an ever-increasing amount of data available within research data repositories. Frictionless Data is an ongoing project at Open Knowledge International focused on removing this friction. We are doing this by developing a set of tools, specifications, and best practices for describing, publishing, and validating data. The heart of this project is the “Data Package”, a containerization format for data based on existing practices for publishing open source software. This paper will report on current progress toward that goal."
research-data  data-curation  analysis  methods 
may 2018 by tsuomela
Levine, C.: Forms: Whole, Rhythm, Hierarchy, Network (Paperback and eBook) | Princeton University Press
"Forms offers a powerful new answer to one of the most pressing problems facing literary, critical, and cultural studies today—how to connect form to political, social, and historical context. Caroline Levine argues that forms organize not only works of art but also political life—and our attempts to know both art and politics. Inescapable and frequently troubling, forms shape every aspect of our experience. Yet, forms don't impose their order in any simple way. Multiple shapes, patterns, and arrangements, overlapping and colliding, generate complex and unpredictable social landscapes that challenge and unsettle conventional analytic models in literary and cultural studies. Borrowing the concept of "affordances" from design theory, this book investigates the specific ways that four major forms—wholes, rhythms, hierarchies, and networks—have structured culture, politics, and scholarly knowledge across periods, and it proposes exciting new ways of linking formalism to historicism and literature to politics. Levine rereads both formalist and antiformalist theorists, including Cleanth Brooks, Michel Foucault, Jacques Rancière, Mary Poovey, and Judith Butler, and she offers engaging accounts of a wide range of objects, from medieval convents and modern theme parks to Sophocles's Antigone and the television series The Wire. The result is a radically new way of thinking about form for the next generation and essential reading for scholars and students across the humanities who must wrestle with the problem of form and context."
book  publisher  forms  formal  literary-criticism  methods  social  analysis 
may 2018 by tsuomela
Data visualization & presentation tool | Quadrigram
"Quadrigram allows you to engage people by sharing stories that matter."
data  visualization  analysis  software  commercial 
april 2017 by tsuomela
The Engine Room
"The Engine Room helps activists, organisations, and other social change agents make the most of data and technology to increase their impact. We are a non-profit organisation ourselves, and our international team is made up of experienced and committed practitioners. Since 2011, we have supported more than 200 organisations, big and small, from every corner of the globe. Technology and data have the potential to dramatically accelerate the impact of any group or organisation that promotes equality, justice, human rights, good governance and accountability."
data-science  analysis  data  non-profit  activism 
december 2016 by tsuomela
"obsessively-detailed instructions to analyze survey data for free with the r language, the survey package, monetdblite."
statistics  survey  analysis  data-science  tutorials 
october 2016 by tsuomela
Psych 5007
"The goal of this course is to (1) identify and explain basic statistical principles that are widely applicable to the analysis of neuroscience and behavioral data and (2) show how these principles can be translated into practice using MATLAB as the programming environment. Topics will include probability distributions, error bars and confidence intervals, statistical significance, regression, classification, correlation, linear and nonlinear models, cross-validation, bootstrapping, model selection, and randomization methods. We will focus on nonparametric and computational approaches to statistical problems, as opposed to classical statistical approaches involving parametric assumptions and analytic solutions. This course is intended for graduate students or postdocs who would like to gain a better understanding of statistical principles and/or learn how to program in MATLAB. Auditors are welcome."
syllabi  statistics  data  analysis  matlab 
october 2016 by tsuomela
DataCamp: The Easy Way To Learn R & Data Science Online
"Master data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether you want to learn R, Python or Data Visualization, we want to help!"
programming  data  analysis  r  python  tutorials 
june 2016 by tsuomela
Natural Language Toolkit — NLTK 3.0 documentation
"NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum. "
python  library  language  analysis  text-analysis 
june 2016 by tsuomela
CA: Journal of Cultural Analytics
"Cultural Analytics is a new journal dedicated to the computational study of culture. Its aim is to promote high quality scholarship that intervenes in contemporary debates about the study of culture using computational and quantitative methods. Articles are expected to combine theoretical sophistication, computational expertise, and grounding in a particular field towards the crafting of novel, thought-provoking arguments. In combining the very best of the humanities and the social and computational sciences, Cultural Analytics aims to challenge disciplinary boundaries and serve as the foundational publishing venue of a major new intellectual movement."
journal  academic  culture  analytics  data  analysis  digital-humanities 
may 2016 by tsuomela
Forecasting: principles and practice | OTexts
"Welcome to our online textbook on forecasting. This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly. We don’t attempt to give a thorough discussion of the theoretical details behind each method, although the references at the end of each chapter will fill in many of those details. The book is written for three audiences: (1) people finding themselves doing forecasting in business when they may not have had any formal training in the area; (2) undergraduate students studying business; (3) MBA students doing a forecasting elective. We use it ourselves for a second-year subject for students undertaking a Bachelor of Commerce degree at Monash University, Australia."
r  statistics  reference  programming  data  analysis  tutorial  time-series  forecasting 
may 2016 by tsuomela
The Crusade Against Multiple Regression Analysis |
A rambling case against multiple regression analysis, which starts strong and then wanders into a defense of some social science effects like priming.
statistics  social-science  analysis  linear-regression  psychology  social-psychology 
january 2016 by tsuomela
"PURPOSE The File Analyzer is a general purpose desktop (and command line) tool designed to automate simple, file-based operations. The File Analyzer assembles a toolkit of tasks a user can perform. The tasks that have been written into the File Analyzer code base have been optimized for use by libraries, archives, and other cultural heritage institutions."
software  analysis  files  libraries  script 
november 2014 by tsuomela
Book of Lamentations – The New Inquiry
"The newly published DSM-5 is a classic dsytopian novel in this mold. American Psychiatric Association DSM-5 American Psychiatric Publishing (991 pages)It’s also not exactly a conventional novel. Its full title is an unwieldy mouthful: Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. The author (or authors) writes under the ungainly nom de plume of The American Psychiatric Association –"
psychology  psychopathology  analysis  typology  book  review  classification  satire 
october 2013 by tsuomela
This is Not a Boundary Object: Reflections on the Origin of a Concept
"There are three components to boundary objects as outlined in the original 1989 article. Interpretive flexibility, the structure of informatic and work process needs and arrangements, and, finally, the dynamic between ill-structured and more tailored uses of the objects. Much of the use of the concept has concentrated on the aspect of interpretive flexibility and has often mistaken or conflated this flexibility with the process of tacking back-and-forth between the ill-structured and well-structured aspects of the arrangements. Boundary objects are not useful at just any level of scale or without full consideration of the entire model. The article discusses these aspects of the architecture of boundary objects and includes a discussion of one of the ways that boundary objects appeared as a concept in earlier work done by Star. It concludes with methodological considerations about how to study the system of boundary objects and infrastructure."
sts  boundary-objects  infrastructure  analysis 
august 2013 by tsuomela
NodeXL: Network Overview, Discovery and Exploration for Excel
"NodeXL is a free, open-source template for Microsoft® Excel® 2007 and 2010 that makes it easy to explore network graphs. "
network-analysis  networks  microsoft  software  visualization  analysis  graphics 
august 2012 by tsuomela
The Social Cocktail, Part 1: Mixology
The fundamental question it answers is: Why analyze social data from more than one publisher?

Each social media publisher brings distinct capabilities and audiences, and encourages unique ways for users to interact and express themselves. The overlap in audience between some publishers is low, so adding publishers helps broaden topic coverage and audience perspective. Microblogs (e.g. Twitter) are fast and concise, making it easier to tease out breaking stories and emerging conversations. Blog comments indicate engagement and controversy, and therefore point back to interesting blog posts, where the in-depth analysis is found. Votes and likes provide additional signals of reader engagement–indications of the quality and the pitch of conversation.
social-media  analysis  data  online  behavior  information-science 
july 2012 by tsuomela
36-350, Statistical Computing, Fall 2011
"Computational data analysis is an essential part of modern statistics. Competent statisticians must not just be able to run existing programs, but to understand the principles on which they work. They must also be able to read, modify and write code, so that they can assemble the computational tools needed to solve their data-analysis problems, rather than distorting problems to fit tools provided by others. This class is an introduction to programming, targeted at statistics majors with minimal programming knowledge, which will give them the skills to grasp how statistical software works, tweak it to suit their needs, recombine existing pieces of code, and when needed create their own programs.

Students will learn the core of ideas of programming — functions, objects, data structures, flow control, input and output, debugging, logical design and abstraction — through writing code to assist in numerical and graphical statistical analyses. Students will in particular learn how to write maintainable code, and to test code for correctness. They will then learn how to set up stochastic simulations, how to parallelize data analyses, how to employ numerical optimization algorithms and diagnose their limitations, and how to work with and filter large data sets. Since code is also an important form of communication among scientists, students will learn how to comment and organize code. "
syllabi  statistics  computing  data  analysis 
february 2012 by tsuomela
Kenneth Train's Home Page
A Distant Learning Course on Discrete Choice Methods with Simulation
statistics  analysis  learning  discrete  choice  conjoint-analysis 
august 2011 by tsuomela
SocialFlow Blog
The SocialFlow Blog brings you the latest news, research and dispatches from the leading edge of social media optimization.
weblog-company  social-media  analysis  analytics 
august 2011 by tsuomela
Why some social network services work and others don’t — Or: the case for object-centered sociality :: Zengestrom
" the term ‘social networking’ makes little sense if we leave out the objects that mediate the ties between people. Think about the object as the reason why people affiliate with each specific other and not just anyone. For instance, if the object is a job, it will connect me to one set of people whereas a date will link me to a radically different group. This is common sense but unfortunately it’s not included in the image of the network diagram that most people imagine when they hear the term ‘social network.’ The fallacy is to think that social networks are just made up of people. They’re not
social-media  social-networks  theory  objects  purpose  analysis  community  network 
april 2011 by tsuomela
Victorian Literature, Statistically Analyzed With New Process -
Victorians were enamored of the new science of statistics, so it seems fitting that these pioneering data hounds are now the subject of an unusual experiment in statistical analysis. The titles of every British book published in English in and around the 19th century — 1,681,161, to be exact — are being electronically scoured for key words and phrases that might offer fresh insight into the minds of the Victorians.
data  literature  criticism  statistics  analysis  19c  english 
december 2010 by tsuomela
CASOS brings together computer science, dynamic network analysis and the empirical study of complex socio-technical systems. Computational and social network techniques are combined to develop a better understanding of the fundamental principles of organizing, coordinating, managing and destabilizing systems of intelligent adaptive agents (human and artificial) engaged in real tasks at the team, organizational or social level. Whether the research involves the development of metrics, theories, computer simulations, toolkits, or new data analysis techniques advances in computer science are combined with a deep understanding of the underlying cognitive, social, political, business and policy issues.
complexity  modeling  research  networks  social  analysis  network-analysis  simulation  sociology  agent-based-model  school(CarnegieMellon) 
september 2010 by tsuomela
UCINET is a social network analysis program developed by Steve Borgatti, Martin Everett and Lin Freeman.
software  windows  network-analysis  graphs  social-networking  research  analysis  visualization 
september 2010 by tsuomela
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