The Indigenous Data Sovereignty (IDSov) movement focuses on the protection of Indigenous rights and interests in the control and governance of Indigenous data. To better support and realize internally...  More

The basic processes common to setting up and performing a computational study will be illustrated with a grounded historical example from Near East Studies. Starting with the fundamental, minimal...  More

Artificial intelligence (AI) is built on data, and creates more every time it’s used. Whose Data Is It, Anyway? We invite researchers using and creating AI across disciplines, legal experts, and...  More

It can be hard to find accurate, up-to-date information about reproductive health and justice issues. Wikipedia is where people go when they want to answer a question without extensive research or...  More

Students and researchers have benefitted tremendously from the advent of modern information technology architecture and recordkeeping. Organizations in the private and public sector are now amassing...  More

Data pipeline for athletic performance optimization at JHU (Wong) Machine learning and AI tools have made tremendous progress in computer vision tasks such as image segmentation, action localization,...  More

This roundtable will discuss issues of ownership around data especially concerning how to collect data, what can and should be shared, and the rights of the subject of data collection to decide these...  More

Analyzing datasets that exceed your system’s memory can be a significant challenge, but the right tools can make it manageable. In this session, we'll explore how to use Apache Arrow—a...  More

This workshop covers the fundamentals of open licensing for data and software, providing practical guidance for researchers who want to make their work openly available. Participants will gain an...  More