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"My colleague Jamie Robins and I are working on a book that provides a cohesive presentation of concepts of, and methods for, causal inference. Much of this material is currently scattered across journals in several disciplines or confined to technical articles. We expect that the book will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, political scientists, computer scientists… The book is divided in 3 parts of increasing difficulty: causal inference without models, causal inference with models, and causal inference from complex longitudinal data. We are making drafts of selected book sections available on this website. The idea is that interested readers can submit suggestions or criticisms before the book is published. To share any comments, please email me or visit @causalinference on Facebook. To cite the book, please use "Hernán MA, Robins JM (2018). Causal Inference. Boca Raton: Chapman & Hall/CRC, forthcoming.""

"Harvard got what it wanted. Mediocrity in the name of diversity. It was a classic example of how the white power structure plays people of color. It decides whom to promote and whom to silence. When then-Maj. Colin Powell helped cover up the 1968 massacre of some 500 civilians at My Lai in Vietnam he was assured a glittering career in the Army. When Barack Obama proved obedient to the Chicago political machine, Wall Street and the Democratic Party establishment he was promoted to the U.S. Senate and the presidency. Diversity in the hands of the white power elites-political and corporate-is an advertising gimmick. A new face, a brand, gets pushed out front, accompanied by the lavish financial rewards that come with serving the white power structure, as long as the game is played. There is no shortage of women (Hillary Clinton, Nancy Pelosi and Donna Brazile), Latinos (Tom Perez and Marco Rubio) or blacks (Vernon Jordan, Clarence Thomas and Ben Carson) who sell their souls for a taste of power."

"With each interaction, Alexa is training to hear better, to interpret more precisely, to trigger actions that map to the user's commands more accurately, and to build a more complete model of their preferences, habits and desires. What is required to make this possible? Put simply: each small moment of convenience - be it answering a question, turning on a light, or playing a song - requires a vast planetary network, fueled by the extraction of non-renewable materials, labor, and data. The scale of resources required is many magnitudes greater than the energy and labor it would take a human to operate a household appliance or flick a switch. A full accounting for these costs is almost impossible, but it is increasingly important that we grasp the scale and scope if we are to understand and govern the technical infrastructures that thread through our lives. III The Salar, the world's largest flat surface, is located in southwest Bolivia at an altitude of 3,656 meters above sea level. It is a high plateau, covered by a few meters of salt crust which are exceptionally rich in lithium, containing 50% to 70% of the world's lithium reserves. 4 The Salar, alongside the neighboring Atacama regions in Chile and Argentina, are major sites for lithium extraction. This soft, silvery metal is currently used to power mobile connected devices, as a crucial material used for the production of lithium-Ion batteries. It is known as 'grey gold.' Smartphone batteries, for example, usually have less than eight grams of this material. 5 Each Tesla car needs approximately seven kilograms of lithium for its battery pack. 6 All these batteries have a limited lifespan, and once consumed they are thrown away as waste. Amazon reminds users that they cannot open up and repair their Echo, because this will void the warranty. The Amazon Echo is wall-powered, and also has a mobile battery base. This also has a limited lifespan and then must be thrown away as waste. According to the Ay

Following a series of studies on termite mound physiology and morphogenesis over the past decade, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences have now developed a mathematical model to help explain how termites construct their intricate mounds.

A large team of researchers working with Google Inc. and affiliated with a host of institutions in the U.S., one in Germany and one in the Netherlands has implemented a quantum approximate optimization algorithm (QAOA) on a 53-qubit noisy intermediate-scale quantum (NISQ) device. In their paper published in the journal Nature Physics,, the group describes their method of studying the performance of their QAOA on Google's Sycamore superconducting 53-qubit quantum processor and what they learned from it. Boaz Barak with Harvard University has published a News & Views piece on the work done by the team in the same journal issue.

ot long ago, Joe Davis, the "artist-scientist" in George Church's genetics lab at Harvard Medical School, was in Brittany, France. The region is known for thousand-year-old salterns that produce fleur de sel, or flower of salt-salt that forms as seawater evaporates. Davis was there sampling these brightly colored ponds with a microscope, and found in the shallow waters an abundance of diverse halophiles, organisms that can grow in and tolerate saline conditions. "I wondered what happens to these organisms," he said. "The salt is evaporating, the water's gone. The organisms aren't just going to disappear. Where are they?"