AADHum Intensives2018-11-13T11:28:47+00:00

AADHum Intensives

The AADHum Initiative’s 2018–2019 programming shines a spotlight on work that is intentionally digital, and intentionally Black, by amplifying researchers who are actively working at the intersections of African American history, culture, and digital humanities. AADHum Intensives will feature a single researcher or small research team, allowing the AADHum community to focus on their work while also participating in an open format meant to foster learning, discussion, and progress. AADHum Intensives will further distill the most powerful elements of AADHum’s hallmark activities (workshops, reading groups and incubators) to facilitate the creation of excellent digital humanities work:

presentation. dialogue. skill building.

Presentation: each researcher or small research team will deliver a brief talk contextualizing the development of their digital project

Dialogue: all participants will engage with the researcher or small research team, with the goal of providing purposeful feedback and fostering discussion of two key theoretical or disciplinary readings that ground their project

Skill building: AADHum and/or MITH staff will facilitate an exercise to demonstrate, develop, or refine a key technical skill relevant to the project

Dates

Monday, October 1, 2–3:30pm (rescheduled for October 29); Monday, November 5, 2–3:30pm; Monday, November 26, 2–3:30pm

all AADHum Intensives will be held in the MITH Conference Room, 0301 Hornbake Library

Up Next

Who: Melissa Brown, Doctoral Candidate in Sociology and Graduate Assistant to the AADHum Initiative at the University of Maryland, College Park

What: “A Social Network Analysis of the Atlanta Rap Music Soundscape”

When: Monday, November 26, 2018 from 2:00-3:30 p.m.

Where: MITH Conference Room, 0301 Hornbake Library

Suggested Readings:

  1. Matthew Denny, “Social Network Analysis.” Institute for Social Science Research (2014), 1-20. (available via ELMS)
  2. Reginald D. Smith, “The network of collaboration among rappers and its community structure.” Journal of Statistical Mechanics (2006), 1-15.
    (available via ELMS)