The Summer Institutes in Computational Social Science (SICSS) were created to provide free training to the next generation of researchers at the intersection of social science and data science— and to incubate cutting-edge research across disciplinary boundaries. We provide state-of-the art training in a range of different areas in computational social science from ethics to text analysis and mass collaboration. These lectures assume a basic, working knowledge of the R language.
This course will show you how to manage the many aspects of digital humanities research and scholarship. Whether you are a student or scholar, librarian or archivist, museum curator or public historian — or just plain curious — this course will help you bring your area of study or interest to new life using digital tools.
#dariahTeach is a platform for Open Educational Resources (OER) for Digital Arts and Humanities educators and students, but also beyond this aiming at Higher Education across a spectrum of disciplines, at teachers and trainers engaged in the digital transformation of programme content and learning methods. #dariaTeach has two key objectives: sharing and reuse, thus developing a place for people to publish their teaching material and for others to use it in their own teaching.
This specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behavior.
The guide is a project of the CUNY Digital Humanities Initiative (DHI), a new working group aimed at building connections and community among those at CUNY who are – or would like to be – applying digital technologies to research and pedagogy in the humanities.
This workshop uses a tabular interview dataset from the SAFI Teaching Database and teaches data cleaning, management, analysis and visualization. There are no pre-requisites, and the materials assume no prior knowledge about the tools. We use a single dataset throughout the workshop to model the data management and analysis workflow that a researcher would use.
A peer-reviewed, curated collection of reusable and remixable resources for teaching and research. Organized by keyword, the annotated artifacts can be saved in collections for future reference or sharing.
This course will show you how to manage the many aspects of digital humanities research and scholarship. Whether you are a student or scholar, librarian or archivist, museum curator or public historian — or just plain curious — this course will help you bring your area of study or interest to new life using digital tools.
Library Carpentry focuses on building software and data skills within library and information-related communities. Our goal is to empower people in these roles to use software and data in their own work and to become advocates for and train others in efficient, effective and reproducible data and software practices.
Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.