8:30 am: Registration and coffee
9:00-9:30: Welcome; Orientation to DCIC technical capabilities and student engagement opportunities
9:30-10:30: DCIC Demonstration: Mapping Inequality Project: Goal: Developing a national “Redlining” data set appropriate for computational and archival analytics.
Student Learning Outcomes: • Digitization• Optical Character Recognition• Data Analytics/Data Management• Geographical Information System referencing• Python/SQL Programming
10:45-11:45: Brainstorming session on the feasibility , goals, and objectives of a cross-community collaboration. Those interested in developing a model for this type of collaboration will establish a framework to move forward.