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How I Learned to Stop Worrying and Love Intelligible Failure
With the growth of “ARPA-everything,” it’s time to start testing predictions about what makes the model succeed. That means being able to understand when and why it doesn’t.
期刊介绍:
Issues in Science and Technology publishes articles that analyze and provide original perspectives on current topics in science and technology policy. These articles recommend actions by government, industry, academia, and individuals to solve pressing problems. The pages of Issues are open to anyone who can write an informed, well-reasoned, and policy-relevant article. We are open to a variety of authorial styles and voices, so long as articles are analytically rigorous and written for educated but nonspecialist readers.