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Recruitment Notice: Network Data Analysis and Visualization Intern

Position: Network Data Analysis and Visualization Intern

Location: Washington, DC; NYC; or remote

Position Status: Part-time Internship

Background

LINC is a US-based small business that assists local and international organizations to design effectively, increase institutional capacity, forge lasting partnerships, and measure impact, based in Washington, DC with staff also working out of New York City. LINC uses a variety of tools and exercises to help stakeholders understand the systemic opportunities and constraints they face in their work, including network analysis, systems mapping, and data visualization.

Description of Services

LINC is currently undertaking multiple activities that include the collection, analysis, and visualization of network data through Social Network Analysis (SNA) in order to design and evaluate development interventions. Our SNA work is applied in a variety of technical sectors, geographies, and network types. Most notably, current/recent analyses cover Public Sector Services, Agricultural Market Development, collaboration in Water and Sanitation, and Health Care Supply Chain, in Asia, Africa, and Latin America. LINC is currently seeking a part-time, paid network data analysis and visualization intern to support these activities as well as LINC’s overall approach to collecting, analyzing, and visualizing network data.

Responsibilities:

The intern will support activity leads in structuring, analyzing, and visualizing data. This will include:

  • Transforming raw survey output data into formats suitable for SNA software such as Kumu, UCINET, NodeXL, and R, or other software as needed;
  • Work with activity leads to use these software tools to identify notable patterns in the network data related to the influence of different network actors (using measures of centrality and the position of actors in the network), the structure of the overall network (using network metrics such as density and homophily as well as clustering algorithms), and important network gaps relevant to the specific goals of each activity;
  • Develop user-friendly visualizations of the data to illustrate key insights using SNA-specific software such as Kumu, NodeXL, Gephi, and SNA libraries for R, and potentially using additional tools, languages, and libraries (D3.js, vis.js, Shiny, etc.) to develop interactive visualizations of the data;
  • Support LINC’s overall data strategy through exploration of techniques and methods such as such as ERGM modeling, innovative network data collection tools and processes, and integration of SNA with other research methods.

Skills and Qualifications

This internship is an excellent opportunity to gain experience working on a critical cross-cutting international development issue and working with a dynamic and fast-growing small business that works with major international development clients such as USAID and DFID. The internship is also an opportunity to learn about the application of SNA to international development to help design and evaluate activities.

This is a part-time position, with the intern expected to work 8-16 hours per week for the summer (starting as early as May 1), with possible extension through the fall. Although the work will be mostly done remotely, there may also be in-person meetings on an as-needed basis if the intern is located in a location with LINC staff presence including Washington, DC or New York City. LINC is looking for a current undergraduate or graduate student to fill the position.

The ideal candidate’s background and skills will include:

  • Knowledge of Social Network Analysis (SNA) theory;
  • Experience using SNA to develop novel insights on real-world datasets using SNA analysis tools such as UCINET, NodeXL, Gephi, and R;
  • Experience developing user-friendly SNA data visualizations;
  • Ability to use tools such as R, Python, and Microsoft Excel (or other tools that can import/export from/to excel) to transform data into various formats and conduct general data analyses;
  • Experience with other tools, language, and libraries to develop interactive network visualizations, such as D3.js, vis.js, and Shiny (preferred); and
  • Interest and/or experience in international development (preferred).

The intern will receive an hourly rate commensurate with experience. This is a non-exempt position.

Application Instructions

Interested candidates should send a C.V. and an example of previous work with SNA (either a description or actual report/visualization in any format) to Matt Guttentag at mguttentag@linclocal.org.