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New Content From Perspectives on Psychological Science
A sample of articles on climate change and substance-use behaviors, using reality checks to assess heterogeneity, using an ethics and social-justice approach to collecting and using demographic data, and much more.
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Artificial Intelligence: Your Thoughts and Concerns
APS members weigh in on the biggest opportunities and/or ethical challenges involving AI within the field of psychological science. Will we witness vast and constructive cross-fertilization—or “a dystopian cyberpunk corporation-led hellscape”?
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How Machine Learning Is Transforming Psychological Science
Artificial intelligence and machine learning are providing insights that will soon transcend scientists’ observational capabilities, potentially leading to revolutionary advances in understanding human psychology.
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Back Page: Dumb (but Useful) AI, Smart Teams, and the Promise of Predictive Analytics
Steven W. J. Kozlowski discusses his research at the Advanced Research on Complex Adaptive Systems project and how computational modeling can help explain what we observe in the real world.
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Methods: How to Do Data Visualization Using R—Even If You Don’t Use R
Read about the advantages of using the programming language R in data processing and statistical analysis.
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Visualize Data to Communicate Science With Students, the Public, and Policymakers
The latest issue of Psychological Science in the Public Interest explores the good and the bad of data visualizations and how public understanding of science can improve if researchers adopt better visualization techniques.
