Structuring and Annotating Data Archives for Analysis

Josué Meléndez Rodríguez

Josué Meléndez Rodríguez is a Doctoral Fellow in Social Welfare and the Qualitative Research Lead for D-Lab at UC Berkeley. His work focuses on understanding and impacting social wellbeing within and through higher education. Josué came to Berkeley with a practice background, and his engagement with research officially began with doctoral studies. During the past three years, he has engaged courses, workshops, and other offerings about and assisted in conducting primarily qualitative research through the UC Berkeley School of Social Welfare, Graduate School of Education, D-Lab, and other UC Berkeley programs. In preparation for his upcoming qualifying examination, he is currently conducting three qualitative research projects using MaxQDA for coding and analysis.

Shelly Steward

 Shelly Steward

Shelly Steward is a PhD candidate in sociology at UC Berkeley. Her research explores how people understand work, class, and the economy. Shelly’s dissertation examines how people make sense of precarious and insecure work through a comparison of the oil and gas and tech industries. She is versed in qualitative and quantitative methods, and is an instructor for Berkeley’s D-Lab and a certified Atlas.TI Trainer. In addition, she has experience with program evaluation and applied social research.

Data Workflows and Network Analysis

Christopher Church

 Chris Church

Chris Church is an assistant professor of history at the University of Nevada, Reno where he is co-director of NDAD (The Nevada Center for Data and Design in the Digital Humanities) . Before joining the history department at UNR, he worked as the Program Coordinator for the Social Sciences Data Lab (D-Lab) and the Digital Humanities Coordinator for the history department at the University of California, Berkeley.


He is a cultural historian and digital historian of the French colonial world who specializes in disasters, nationalism, and social movements in the 19th and 20th centuries. He employs new methods from data science and the digital humanities to answer age-old questions about the relationship between citizens, the public sphere, and the state. His intellectual interests include colonialism, citizenship, and environmental history, as well as databases, GIS, scripting, and web design. In addition to traditional history courses on French history and natural disasters, he has also taught courses and workshops on Python, Network Analysis, Data Management, and Web Design.

Maps for Humanists: an introduction to geographic data, visualization, and analysis

Patty Frontiera

 Patty Frontiera

Patty Frontiera is the D-Lab Academic Coordinator. Patty received her Ph.D. in Environmental Planning from UC Berkeley where her dissertation explored the application and effectiveness of generalized spatial representations in geographic information retrieval. Her work has focused on the design and development of web-based environmental planning and information systems. Specific areas of interest include web mapping, spatial databases, environmental informatics and the development of web-based geospatial analysis tools.

Susan Powell

Susan is the GIS & Map Librarian in the Earth Sciences & Map Library at Cal. Before coming to Berkeley she was a GIS Specialist at the Yale University Library. She has masters’ degrees in both Geography and Library Science from Indiana University, and is interested in new mapping technologies, data accessibility, and Mongolia, among other things.

Computational Text Analysis

Teddy Roland

 Teddy Roland

Teddy Roland is a PhD student in English at UC Santa Barbara. His research focuses on the contested and uneven movement of avant-garde forms across twentieth-century literary magazines. In conjunction with archival research and close reading, evidence toward those humanistic research questions has incorporated computational findings from natural language processing and machine learning. Previously, Teddy was a Lecturer at UC Berkeley and Coordinator for Digital Literary Study with the Digital Humanities at Berkeley Initiative. He received his MA from the University of Chicago in 2014.

 

Laura K. Nelson

 Laura K. Nelson

Laura K. Nelson received her PhD in sociology from the University of California, Berkeley. She has an MA from UC Berkeley and a BA from the University of Wisconsin, Madison. She is currently a postdoctoral fellow at Digital Humanities @ Berkeley, developing a course for undergraduates on computational text analysis in the humanities and social sciences.

She uses computational methods and open source tools, principally automated text analysis, to study social movements, culture, gender, institutions, and organizations. She is particularly interested in developing computational tools that can bolster the way social scientists do inductive and theory-driven research.