Showing results for "The Digital Pandemic" in Disaster Relief

The inside story, told with “insight, perspective, and stellar reporting,” of how an unassuming civil servant created trillions of dollars from thin air, combatted a public health crisis, and saved the American economy from a second Great Depression (Alan S. Blinder, former Vice Chair of the...

A common sense field guide to understanding, surviving, and thriving in our time of complex chaos and crises. Is this finally it? The end times?Because from COVID-19 to climate catastrophe to the looming AI revolution—not to mention the ever-growing background hum of rage, fear, and...

Drawing on databases of cases filed, news reports, and other sources, Susan M. Sterett argues that governing during the pandemic must include the human institutions intertwined with the effects of the virus. Those institutions reveal problems well beyond the reach of technical expertise. Failures in private insurance as a way of governing risk, conflicts about the primacy of religion, government authority, and health, are problems that predated the pandemic and will persist in future disasters.

""[An] executive summary of modern political history studded with sweeping assertions and telling anecdotes."" -- The New York Times Book Review ""Thought-provoking."" -- Kirkus Reviews “A shot in the arm...powerful.” -- The Financial Times ""The Wake-Up Call, refreshingly concise and...

In this insightful book, an underwater archaeologist and survival coach shows how understanding the collapse of civilizations can help us prepare for a troubled future. Pandemic, climate change, or war: our era is ripe with the odor of doomsday. In movies, books, and more, our imaginations run...

Averting Catastrophe explores how governments ought to make decisions in times of imminent disaster. Cass R. Sunstein argues that using the "maximin rule", which calls for choosing the approach that eliminates the worst of the worst-case scenarios, may be necessary when public officials lack important information and when the worst-case scenario is too disastrous to contemplate. He underscores this argument by emphasizing the reality of "Knightian uncertainty", found in circumstances in which it is not possible to assign probabilities to various outcomes.