This course does not seek to provide answers to ethical questions. Instead, the course hopes to teach students two things. First, how do you recognize ethical or moral problems in science and medicine? When something does not feel right (whether cloning, or failing to clone) — what exactly is the nature of the discomfort? What kind of tensions and conflicts exist within biomedicine? Second, how can you think productively about ethical and moral problems? What processes create them? Why do people disagree about them? How can an understanding of philosophy or history help resolve them? By the end of the course students will hopefully have sophisticated and nuanced ideas about problems in bioethics, even if they do not have comfortable answers.

This lesson plan is from a unit titled Consequences of Industrialization. It explores the expansion of imperial states from 1750-1900 and the methods of that expansion. The lesson also focuses on how imperial powers have dealt with the negative consequences of imperialism on indigenous peoples in recent years. 

So, how many different kinds of intelligence are there? And what is the G-Factor? Eugenics? Have you ever taken an IQ Test? All of these things play into the fascinating and sometimes icky history of Intelligence Testing. In this episode of Crash Course Psychology, Hank talks us through some of the important aspects of that history... as well as Nazis. Hey, I said some of it was icky.

Chapters:
Introduction: Defining Intelligence
The G-Factor
Psychometrics
Gardner's 8 Intelligences
Measuring Creativity & Divergent Thinking
Emotional Intelligence
Eugenics
Binet & Simon's "Mental Age" Tests
IQ Tests
Intelligence Tests, Eugenics, & Forced Sterilization in the U.S.
Eugenics in Nazi Germany
Review & Credits
Credits

In 1883, Sir Francis Galton, a nineteenth-century English social scientist, statistician, and psychologist, coined the term “eugenics” from the Greek word eugenes, meaning well-born. The practice of eugenics aims to improve the genetic quality of a human population through selective breeding—encouraging reproduction for the “strongest” humans while discouraging reproduction for the “weakest” humans. Cultural, social, and scientific ideas of the late nineteenth-century informed how eugenicists identified desirable and undesirable genetic traits. According to these eugenicists, the “strongest” humans were typically white (from northern and western Europe), healthy, and wealthy. The “weakest” humans were typically non-white (or white from southern and eastern Europe), poor, physically or mentally disabled, or considered criminally or sexually “deviant.”

A History Of The Holocaust: A Guide For The Community College Student: The Second Edition.

In "Anthem", by Ayn Rand, Equality speaks of the Home of Eugenics in which males and females of his dystopian society must report to at the appropriate age. To help students better understand the ethical issues with eugenics, they will interact with this informational article from the Huffington Post. This article will allow students to discuss and learn about the issues of eugenics in their own back yard.

This course examines one of the most enduring and influential forms of identity and experience in the Americas and Europe, and in particular the ways race and racism have been created, justified, or contested in scientific practice and discourse. Drawing on classical and contemporary readings from Du Bois to Gould to Gilroy, we ask whether the logic of race might be changing in the world of genomics and informatics, and with that changed logic, how we can respond today to new configurations of race, science, technology, and inequality. Considered are the rise of evolutionary racism; debates about eugenics in the early twentieth century; Nazi notions of “racial hygiene”; nation-building projects and race in Latin America; and the movement in modern biology from race to populations to genes and genomes.

Within this unit, I will take a three level design that is planned to make these courses more relevant to students and promote questions that interrogate the authority of statistics that students will encounter throughout the course and in their lives.

The skill of interrogating statistics is crucial for all adults in our society to become thinking consumers and users of data. In addition, it is important to deconstruct data to see implicit ideas of domination and subjugation that travel through numbers that can appear nuetral. Statistics shares a creation story with the field of Eugenics. Francis Galton, a mathematician who contributed many of the major ideas to statistics was also one of the originators of eugenics. The influence of eugenic thinking in statistics drives a notion of superiority, fitness and ranking alongside measurements. Milton Reynolds describes this in Shifting Frames:,” The term “eugenics” refers to a scientifically based, ideological movement dedicated to the reiification of race. It is the wellspring of scientific theories used to construct taxonomies of difference within the human family and to legitimize the subjugation of different groups.”.1 Statistics often does the work of justifying this subjugation through its “innocent” and authoritative work as a logical system. These embedded assumptions of superiority are validated by the seeming neutrality of mathematical calculations. The “taxonomies of difference” he describes are invalid and biased assumptions about difference that dominate our interpretations of data, however they appear as factual products legitimized by math.

CRISPR-Cas9 is a gene-editing technology with potential to expand the agricultural industry and improve human health. However, this technology may have unforeseeable consequences and adverse effects for society. Statistical procedures are often used to study public perceptions of controversial technologies. In this unit plan, students will design and administer surveys to investigate how their peers feel about various applications of gene-editing technology. In the process, students will apply random sampling methods and learn how to minimize response bias. Once their surveys are completed, students will analyze the results using contingency tables, confidence intervals, and hypothesis tests. The ultimate goal of this unit will be to help students to create clear policies for regulating the use of CRISPR-Cas9 and defend these policies with their statistical findings.