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Social Justice Research

Resources compiled for Hutchins Social Justice Scholars research, Fall 2024. For questions or issues with access, please contact Ms. Sinai asinai@lawrenceville.org

Background Reading

Before you can construct an effective argument, you must first have a solid understanding of your topic. As you read, take notes on key themes and ideas that you can use to research further. 

What kinds of information will you need?
Background Information is crucial to understanding your issue.
This includes:

  • Important definitions of words and concepts associated with your topic

  • Important people, dates, events (who / what / where / when)

  • Demographic data and statistics

Reference sources are a great place to start your research. These resources provide a broad overview of your topic (the who, what, where, when, and why). Types of material include encyclopedias, almanacs, and dictionaries, or even sites like Wikipedia. 

Online Reference Collections from Bunn Library

Before you can construct an effective argument, you must first have a solid understanding of your topic. Below are resources that provide a broad overview of a particular issue. As you read, take notes on key themes and ideas that you can use to research further. For very current topics that are constantly in flux, take a step back and see if you can tie that into broader themes. 

Statistical Collections:

Recommended Resources from the Web

Below is a small selection of valuable resources to get started. 

Can I use Wikipedia? Yes! Wikipedia is an excellent resources for gaining a basic understanding of a current topic. As with any reference source, you should not directly quote evidence from Wikipedia into your paper, but you may use it to inform the direction of your research. 

What about ChatGPT or other AI sources? If you are using AI as a starting point to gain some basic knowledge on your topic, or a list of resources to explore, use with caution. Remember that AI platforms are not objective, and may not always provide factual information either. Bias in your initial question can lead to bias in the results. Remember that you must cite any AI prompts that you use.