academic tenure, ai, algorithm, artificial intelligence, bias, big data, business, computer science, computing, computing research association, concept, consent, data science, data visualization , democracy, democratization, doom (1993 video game), education, engineering, european union, evolution, expert, globalization, graduate school, indiana university, information, information privacy, internet, knowledge, language, learning, machine learning, metaphor, microsoft research, mind, natural justice, news, online and offline, operations research, policy, poverty, reality, reason, research, school of informatics, science, science, technology, engineering, and mathematics, silicon valley, social equity, social inequality, social science, sociology, software , stanford conference, stanford university, stemi makers, system, technology, theory, thought, thoughtworks, web scraping, wids, wids podcast, women in data, women in data science, women in technology, women in technology conference, world wide web
Director, Pediatric Critical Care Medicine Fellowship Associate Professor of Anesthesiology and Critical Care Medicine at The Johns Hopkins University School of Medicine
anthropology, antibiotic sensitivity testing, artificial intelligence in healthcare, computer science, design, electronic health record, emergency medicine, engineering, evaluation, infection, infectious disease (medical specialty), innovation, interdisciplinarity, machine learning, medical prescription, medicine, nursing, physician, prediction, reason, science, social science, truth, understanding
Professor of Macroeconomics at University of Cambridge
alternative medicine, artificial intelligence, big data, business cycle, calibration, computer science, data ethics, data science, economic inequality, economics, employment, evidence-based medicine, face masks during the covid-19 pandemic, government budget balance, health, http cookie, inflation, machine learning, macroeconomics, microeconomics, monetary policy, organization, privacy, public policy, real-time computing, recession, rights, social science, the alan turing institute, turing, unemployment, wealth
Chief Data Scientist, Deputy Director Data Science Campus at Office for National Statistics
alternative medicine, artificial intelligence, big data, business cycle, calibration, computer science, data ethics, data science, economic inequality, economics, employment, evidence-based medicine, face masks during the covid-19 pandemic, government budget balance, health, http cookie, inflation, machine learning, macroeconomics, microeconomics, monetary policy, organization, privacy, public policy, real-time computing, recession, rights, social science, the alan turing institute, turing, unemployment, wealth
We use cookies on this website to enhance your browsing experience, measure our audience, and to collect information useful to provide you with more relevant content. By continuing to use this website, by closing this box, or by clicking here, you are indicating your consent to our use of cookies.