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"Everything from law enforcement to space exploration relies on code written by people who, at the time, made choices and assumptions that would have long-lasting, profound implications for society. Torie Bosch brings together many of today’s leading technology experts to provide new perspectives on the code that shapes our lives. Contributors discuss a host of topics, such as how university databases were programmed long ago to accept only two genders, what the person who programmed the very first pop-up ad was thinking at the time, the first computer worm, the Bitcoin white paper, and perhaps the most famous seven words in Unix history: “You are not expected to understand this.” This compelling book tells the human stories behind programming, enabling those of us who don’t think much about code to recognize its importance, and those who work with it every day to better understand the long-term effects of the decisions they make. With an introduction by Ellen Ullman and contributions by Mahsa Alimardani, Elena Botella, Meredith Broussard, David Cassel, Arthur Daemmrich, Charles Duan, Quinn DuPont, Claire L. Evans, Hany Farid, James Grimmelmann, Katie Hafner, Susan C. Herring, Syeda Gulshan Ferdous Jana, Lowen Liu, John MacCormick, Brian McCullough, Charlton McIlwain, Lily Hay Newman, Margaret O’Mara, Will Oremus, Nick Partridge, Benjamin Pope, Joy Lisi Rankin, Afsaneh Rigot, Ellen R. Stofan, Lee Vinsel, Josephine Wolff, and Ethan Zuckerman." -- Publisher's description.
Computer programming --- Computer science --- COMPUTERS / Programming / General. --- Social aspects --- ARPANET. --- Addition. --- Advertising. --- Adviser. --- Amplitude. --- Analogy. --- Association for Computing Machinery. --- Attendance. --- Binary number. --- Black people. --- COBOL. --- Capability. --- Censorship. --- Certificate authority. --- Charles Babbage. --- Collaboration. --- Communication. --- Computation. --- Computer Fraud and Abuse Act. --- Computer. --- Computing. --- Consideration. --- Conspiracy theory. --- Data processing system. --- Debug (command). --- Detection. --- Digital Equipment Corporation. --- Edsger W. Dijkstra. --- Ellen Ullman. --- Email. --- Espionage. --- Fake news. --- Flight controller. --- Fortran. --- Fragility. --- GLIMPSE. --- Gravity well. --- Hidden Figures. --- Hyperlink. --- Identifier. --- Imagination. --- Infrasound. --- Ingenuity. --- Instrumentation. --- Intermediary. --- JPEG. --- Jacquard loom. --- Kapton. --- Katie Hafner. --- Larry Page. --- Law enforcement. --- Low-budget film. --- Magnetic field. --- Malware. --- Mathematician. --- Michael Mandiberg. --- Molecule. --- Morris worm. --- Nickname. --- Operating system. --- Orbital eccentricity. --- PDP-1. --- PL/I. --- Password. --- Perforated paper. --- Personalization. --- Pixel. --- Plumbing. --- Pollution. --- Pop-up ad. --- Popularity. --- Prediction. --- Process control. --- Profanity. --- Programmer. --- Programming language. --- Publication. --- Ray Tomlinson. --- Risk assessment. --- Screenshot. --- Server (computing). --- Shortage. --- Sobriquet. --- Software. --- Source lines of code. --- Spacecraft. --- Spacewar (video game). --- Spamming. --- Surveillance. --- System administrator. --- TX-0. --- Technology. --- Telegraphy. --- Teleprinter. --- The Misunderstanding. --- Thought. --- Unemployment. --- Unix. --- Verb. --- Vulnerability (computing). --- Informatics --- Science --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Programming --- Sociology of knowledge --- COMPUTERS / Programming / General --- SOCIAL SCIENCE / Technology Studies
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How businesses and other organizations can improve their performance by tapping the power of differences in how people thinkWhat if workforce diversity is more than simply the right thing to do? What if it can also improve the bottom line? It can. The Diversity Bonus shows how and why. Scott Page, a leading thinker, writer, and speaker whose ideas and advice are sought after by corporations, nonprofits, universities, and governments, makes a clear and compelling practical case for diversity and inclusion. He presents overwhelming evidence that teams that include different kinds of thinkers outperform homogenous groups on complex tasks, producing what he calls "diversity bonuses." These bonuses include improved problem solving, increased innovation, and more accurate predictions-all of which lead to better results. Drawing on research in economics, psychology, computer science, and many other fields, The Diversity Bonus also tells the stories of businesses and organizations that have tapped the power of diversity to solve complex problems. The result changes the way we think about diversity at work-and far beyond.
Diversity in the workplace. --- Teams in the workplace. --- Personnel management. --- Knowledge economy. --- Accuracy and precision. --- Advertising. --- Affirmative action. --- African Americans. --- Americans. --- Analogy. --- Analytics. --- Asian Americans. --- Asset management. --- Biology. --- Board of directors. --- Boeing. --- Business case. --- Calculation. --- Career. --- Categorization. --- Causality. --- Classroom. --- Collaboration. --- Collective intelligence. --- Competition. --- Computer scientist. --- Cross-functional team. --- Customer. --- Decision-making. --- Demography. --- Economist. --- Effectiveness. --- Empirical evidence. --- Employment. --- Engineering. --- Ensemble learning. --- Entrepreneurship. --- Estimation. --- Explanation. --- Finding. --- Fluid and crystallized intelligence. --- Forecasting. --- Fortune 500. --- Gender diversity. --- Grutter v. Bollinger. --- Harvard University. --- Heuristic. --- Hidden Figures. --- Human resources. --- Income. --- Inference. --- Institution. --- Intelligence analysis. --- Intersectionality. --- Knowledge base. --- Larry Page. --- Majority minority. --- Marketing. --- Mathematician. --- Mathematics. --- Meritocracy. --- Microsoft. --- Mission statement. --- National Science Foundation. --- Netflix. --- New York University. --- Obesity. --- Organization. --- Organizational culture. --- Participant. --- Percentage. --- Philosopher. --- Political science. --- Prediction. --- Predictive modelling. --- Probability. --- Problem solving. --- Product design. --- Profession. --- Quality control. --- Quartile. --- Race (human categorization). --- Restaurant. --- Result. --- Robert Wood Johnson Foundation. --- Rule of thumb. --- Scientist. --- Sexual orientation. --- Social issue. --- Social science. --- State of the World (book series). --- Supply chain. --- Team composition. --- Technology. --- Theorem. --- Tool. --- Trade-off. --- Tradecraft. --- University of Michigan. --- Wealth. --- Weighting. --- Workforce. --- Workplace.
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