News + Events

Spring 2018 IDAH Events

Tuesday, January 16, 2018

1:00 PM2:00 PM

Digital tools for mapping, data visualization, and network analysis offer opportunities to discover, answer, and present research for scholars working in the arts and humanities. But these methods require moving your evidence and research into a data structure appropriate for your chosen tool. In this workshop, we'll 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. 

Friday, January 19, 2018

1:00 PM2:00 PM

Quantitative Transgressions: Computing and Quantitative Methods in History and Literary Studies. The topic for December's meeting is "Measuring Concentration and Diversity in the Humanities." This term the Computational Humanities Reading Group (CHRG) will examine three recent cases where it appears that scholarship in the humanities and interpretive social sciences has failed to use quantitative evidence skillfully. Are these cases the expected outcome of explorations of new methods? Might an infelicitous use of quantitative methods ever be intentional? Are more mundane explanations credible, such as publishers' failures to match articles with suitable reviewers? Join us this year as we consider cases from history and literary studies.

Tuesday, January 23, 2018

1:00 PM2:00 PM

There are many tools and platforms for creating data visualizations, but in order to ensure they communicate in an effective way, your visualizations must be grounded in the appropriate quantitative methods. In this workshop, we will present some problematic humanities datasets and case studies, and use them to walk through the structure and assumptions your data will need to meet in order to create effective data visualizations. Introductory quantitative methods and vocabularies will be presented.

Tuesday, January 30, 2018

12:00 PM1:00 PM

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.