Graduate Specialists in Digital Humanities and Data Analysis

The New Brunswick Libraries now offer consulting hours for drop-in assistance with data intensive research methods and technologies.  Consulting hours are held in the Digital Humanities Lab on the fourth floor of Alexander Library, room 406-407. We have hired three Graduate Specialists with different areas of expertise, available during the following hours:

Office Hours

Narae Lee (SPSS, Qualtrics, NVivo, Stata, MATLAB, surveys, sampling, statistical methods)

  • Monday 3-5 pm
  • Wednesday 2-4 pm
  • Friday 11:30 am – 1:30 pm

Alex Leslie (R for textual analysis, topic modeling, and geospatial analysis)

  • Monday 1-3pm
  • Tuesday 9-11:30am
  • Thursday 9-11:30am

Miranda So (Python, Data Cleaning and Data Analytics)

  • Wednesday 12:30-4:30pm
  • Thursday 12:30-4:30pm
  • Friday 12:30-4:30pm

See also http://dh.rutgers.edu/calendar for open hours (color-coded in magenta).

About the Graduate Specialist Program

The New Brunswick Libraries Graduate Specialist Program provides opportunities for Rutgers-NB graduate students to use and develop their skills in a variety of methodologies while working with the Libraries to deliver consulting, workshops, and training.  Graduate Specialists are hired to provide support to researchers in topics and methods of growing importance in the scholarly world.  Graduate students hired as Graduate Specialists to help the Libraries expand the range of services offered by bringing advanced skillsets in the latest research methods and tools. Additionally, the Graduate Specialist Program helps the graduate students by giving them a place to prove and hone their skills by bringing services to researchers, gaining significant marketable experience along the way.

 

About the Graduate Specialists

Narae Lee (Data Services Graduate Specialist)

Narae Lee is a graduate student in the Department of Economics pursuing a Master’s degree in Econometrics and Quantitative Economics. With an interdisciplinary academic background in economics, public policy, and political science, she pursues quantitative research built on a foundation of qualitative analysis. Having three years of econometric simulation experience in government policy projects, she specializes in Stata programming and Qualtrics survey generation. She has worked on policy projects for the Korean government and has in-depth interview experience with various stakeholders.

Narae will be happy to help you with survey and interview questionnaires, sampling methods, basic statistical theories, randomized trials, and econometric analyses. She can also help with questions about Stata, SPSS, NVivo, Qualtrics, MATLAB programming, and introductory programming such as Java and Ruby related to statistics.

Alex Leslie (Digital Humanities Graduate Specialist)

Alex Leslie is a PhD candidate in the English Department at Rutgers University. His research primarily focuses on the intersection of print circulation and cultural geography in the long nineteenth century. Alex’s dissertation, “Reading Regionally: Cultural Geography and American Literature, 1865-1915,” argues that postbellum culture was shaped by the fact that nationally-circulating literary texts were nonetheless read differently in different regions of the country. His work integrates a number of materials and methods, including quantitative content analysis of newspapers, geospatial analysis of subscription records, formalist literary analysis, and archival research.

Alex would be happy to assist you with digital humanities projects related to corpus analysis, geospatial analysis and mapping, or network analysis. He is able to help support your work in these areas with programming in R as well as software such as Gephi and Carto.

Miranda So (Data Services Graduate Specialist)

Miranda So is a graduate student in the Master of Business and Science (MBS) program with a concentration in Data Analytics. She started learning Python in the summer of 2016 and has since honed her skills through class projects, including a point-of-sales optimization project for a large managed services company, and through a summer internship in the IT Data Sciences group at Janssen Pharmaceuticals, where she researched and implemented methods for creating and maintaining disease ontologies to assist in curation of competitive intelligence data. Before coming to New Jersey, Miranda earned a master’s in Materials Science and Engineering from Northwestern University, where she worked with chemists and vascular surgery residents to develop a targeted therapy for atherosclerosis.

Miranda would be glad to help you with using Python for data cleaning, manipulation (including working with data structures), analysis, and basic visualization.