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Related Concept Videos

Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
Counterfactual Thinking01:19

Counterfactual Thinking

Counterfactual thinking is a cognitive process wherein individuals mentally reconstruct alternative versions of past events, often beginning with “what if” or “if only.” This reflective mechanism plays a significant role in shaping emotional experiences and guiding future behavior. Though typically triggered by unfavorable or unexpected outcomes, counterfactual thinking can also emerge in mundane, everyday decisions and experiences, revealing its deep entrenchment in human cognition.Types of...
The Representativeness Heuristic02:13

The Representativeness Heuristic

The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
Interpreting X̄ Charts01:13

Interpreting X̄ Charts

Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line represents the process mean,...
Interpreting Run Charts01:25

Interpreting Run Charts

Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
Outliers and Influential Points01:08

Outliers and Influential Points

An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the vertical...

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Related Experiment Video

Updated: May 25, 2026

Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Charting ELSI's future course: lessons from the recent past.

Rebecca L Walker1, Clair Morrissey

  • 1Department of Social Medicine, University of North Carolina at Chapel Hill, NC, USA. rlwalker@med.unc.edu

Genetics in Medicine : Official Journal of the American College of Medical Genetics
|January 21, 2012
PubMed
Summary
This summary is machine-generated.

This study analyzed ethical, legal, and social implications (ELSI) research, finding a dominant focus on downstream genomics issues. Most contributors trained in medicine or science, with few policy recommendations from law experts.

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Last Updated: May 25, 2026

Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Area of Science:

  • Genomic ethics
  • Bioethics
  • Social implications of genomics

Background:

  • The field of ethical, legal, and social implications (ELSI) is crucial for navigating advancements in human genetics and genomics.
  • Understanding the landscape of ELSI research is essential for future strategic planning and goal setting within the broader ELSI community.

Purpose of the Study:

  • To examine the types of research and scholarship within the ELSI literature.
  • To identify the key topics addressed in ELSI research.
  • To analyze the contributing community fields of advanced training for ELSI scholars.

Main Methods:

  • A systematic categorization of 642 articles and book chapters published between 2003 and 2008.
  • Inclusion criteria focused on content related to human genetics/genomics and ethics/ELSI.
  • Categorization was based on research type, topic, and the advanced training of the first author, with 95 publications reviewed in-depth to characterize types.

Main Results:

  • A dominant ELSI approach focuses on "downstream" ethical and social issues arising from genomics, primarily contributed to by individuals with non-social science medical or scientific training.
  • A small proportion of publications offered policy recommendations, with authors trained in law being significantly more likely to do so compared to the overall literature.
  • Social science studies predominantly used qualitative methods and showed considerable variation in the scope and nature of recommendations. Alternative models for "normative" work were identified in two other ELSI research types.

Conclusions:

  • Analyzing past ELSI research topics, author training, and scholarship types provides a necessary baseline for future direction.
  • This baseline is critical for charting the future priorities and goals of the ELSI community.
  • Understanding the composition of the ELSI field is key to its continued development and impact.