Could not complete log in. Possible causes and solutions are:
Cookies are not set, which might happen if you've never visited this website before.
Please open https://media.dlib.indiana.edu/ in a new window, then come back and refresh this page.
An ad blocker is preventing successful login.
Please disable ad blockers for this site then refresh this page.
At times more complex data visualizations are necessary to communicate your argument and explore the multiple dimensions of your dataset. This hands-on session will start you down the path towards employing statistical methods to communicate your argument, and will give you a chance to bring your own data and work through options for visualizations. During the workshop we will use two sample datasets to discuss how they were prepared and structured to enable comparison with regression analysis. We'll discuss regression analysis and how you can compare two datasets in a way that ensures you're getting useful information.
Institute for Digital Arts and Humanities, Heather Stur
Summary:
For as much as has been written and produced about the Vietnam War, the voices telling the story have remained much the same. Historians and journalists have privileged American male combat veterans of the war and high-ranking U.S. policymakers, while in Vietnam, the official state story is one of U.S. imperialists versus Vietnamese freedom fighters. Lost in these tellings of the story was South Vietnamese veterans and their families, anticommunist Vietnamese citizens, political activists of all stripes in South Vietnam, American women who served in the war, U.S. support or rear echelon troops, U.S. Embassy employees, and troops of the "free world" forces in Vietnam. These voices are crucial for understanding how the conflict developed and played out, what its consequences were, and what its legacies are.
Institute for Digital Arts and Humanities, Daniel Story, Kalani Craig
Summary:
Want to visualize and study a network in geographic space? We'll do a hands-on exercise with the powerful network analysis software Gephi. Learn about what files Gephi needs to create a network, some basic visualization and analysis options, and how to locate points in your network in geographic space. Participants will need a laptop with Gephi already installed.
From the open, largely unstructured text of the novel, to the structured world of social-network entries, to the automated comparison of photographs on a pixel-by-pixel basis, data mining has a broad set of applications for arts & humanities folks. We'll use your research question or object as the entry point to make sense of the world of data mining and send you home with an activity you can adapt and use to introduce your students to data mining in your discipline.
Digital image manipulation, social network analysis, and data mining can change our perceptions of the world around us, but they also require careful, critical use. This presentation will take arts & humanities practitioners through mapping, data mining, network analysis, data visualization, 3D rendering, computationally aided vision, and other digital methods in a variety of disciplines and tackle some of the critical issues for digital arts and humanities practitioners.
Rebecca Wingo, Institute for Digital Arts and Humanities
Summary:
Community engagement in the digital realm is always a careful balance between giving community members control of their own history and bringing academic expertise into the community. That balance isn't always the same from project to project. Dr. Wingo will draw on her experiences with two similar projects that had very different outcomes: an amazing community-led project to build the history of Rondo with the African American community in St. Paul Minnesota, and a community history project with the Crow tribe in Montana that has so far failed to get off the ground. She'll then walk the audience through best practices for thoughtful, considerate digital community engagement that acknowledge and privilege local community goals.
Caroline Sinders, Institute for Digital Arts & Humanities
Summary:
Caroline Sinders is an artist and researcher exploring how new kinds of data sets, be it emotional data, traumatic data, or political data can then affect algorithms. How can these outputs be actualized as an art piece? Can the creation of a data set help create equity in digital spaces? Her work explores the intersections of critical design, data, and AI as art. This talk will explore the methodology she's created to guide both her art and research practice, called 'research driven art.' Inspired by photojournalism, critical design, and open source software, research driven art is a process driven artistic methodology, focusing on question answering and question exploring, and how a research process can be an artistic practice as well as an artistic output.
Institute for Digital Arts and Humanities, Sara Duke, Michelle Dalmau
Summary:
Digital methods such as mapping, data visualization and network analysis offer opportunities to interrogate, explore, and answer research questions. What underlies each of these digital methods are data and the processes required to translate arts and humanities evidence into manipulatable data structures. In this workshop, we will explore the concept of “collections as data” and the implications of data normalization to facilitate computational based research or creative outputs. We will discuss the types of decisions you'll encounter when representing your humanities evidence in a digital environment and best practices for structuring your research data for use in a number of digital tools.
Institute for Digital Arts and Humanities, Kalani L. Craig, Michelle Dalmau
Summary:
While we often think about the end form - website, digital journal, online resource - when we talk about digital scholarly communications, the work of digital arts and humanities publishing starts at the very beginning of a project. we will walk participants through what digital publications are (moving behind articles and monographs to peer-reviewed datasets and visualizations), how to present these in peer-review and promotion settings, and how to craft a project that takes these publication types and needs to account during the early, mid, and late- research stages. From practical data-management and storage concerns to the more intellectually challenging questions of how to frame the disciplinary outcomes of digital projects to our readers and peers, we will send participants home with a project plan and set of campus resources to support that plan.
