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Human Resources Management in International Organizations (DIPL 6015)

This guide is intended to be a supplement to DIPL 6015

Integrating Digital Humanities

Graph of World Development Indicators For your final assignment, you can choose to write the research paper or choose from one of the topics below.  These options allow you to infuse a new technology into your project ranging from data visualization, simple text mining and web authoring tools.  For more about Digital Humanities at Seton Hall, visit:


OPTION 1 : World Bank Data Visualization

WorldBank Data Visualizer:  Students will use this free data visualizer to create a visualization based on a predetermined topic.  They will present their visualization in an oral report that would demonstrate the countries, variables, trends, time range they have selected.  Proper citation is required.

Example of Data VisualizationData Visualizer is a World Bank tool which employs “bubble charts” to display data in four dimensions. In each chart, the size of the country circle represents a volume measure, such as population or GDP. The position of the bubbles is determined by the indicators selected for the horizontal and vertical axes. The time series used in Data Visualizer is a subset of 2009 World Development Indicators database. As of 4/20/2010, Data Visualizer contains 49 indicators for 209 countries and 18 aggregates from 1960-2007. Data includes social, economic, financial, information and technology, and environmental indicators.

Students may also choose a similar data visualization tool for this assignment as long it is approved by Professor Tinker.  Other sites worth a look are Country Data, Trade Data Visualization and Women, Business and the Law.

OPTION 2: Simple Text Mining with JSTOR

Text mJSTOR Logoining is a research technique using computational analysis to uncover patterns in large text-based data sets.  It is useful in numerous scholarly fields, from the humanities, where it is one of the tools of digital humanities, to the sciences, where useful data can be mined from text databases of published literature.  Source: UMass Amherst Libraries

The JSTOR Data for Research (DfR) service, freely available to the public, provides text and data mining tools for selecting and interacting with the content in JSTOR. The tools include faceted searching, topic modeling, and data visualization. Researchers can obtain, view and bulk download document-level datasets, including word frequencies, citations, key terms and ngrams. JSTOR will work with you to tailor datasets to your needs.  For more information, see the Data for Research FAQ.

OPTION 3: VisualEyes

Visualeyes logo For technically inclined students who want to challenge themselves, they can use this web-based authoring tool developed at the University of Virginia to weave images, maps, charts, video and data into highly interactive and compelling dynamic visualizations.  A proposal of topic must be submitted that would include images, maps or data that would be captured plus a development timeline.  See links below for more information.

Google Doc “Authoring Guide”

Google Doc "Authoring Screencast"