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Daniela Rus
Director at MIT CSAIL
3d printing, ant, artificial neural network, automation, big data, breast cancer, cancer, capitalism, carpool, causality, chatbot, computer vision, conversation, creativity, data center, deep learning, deepmind, destiny, digital literacy, economics, education, educational technology, edx, electricity, employment, engine, entrepreneurship, globalization, google translate, ice, idea, image segmentation, industrial revolution, industry, innovation, labour economics, learning, logistics, machine learning, market (economics), mass, massachusetts institute of technology, massive open online course, mind, minimum wage, nursing home, perception, pink-collar worker, planet, policy, productivity, reason, reinforcement learning, robot, robotics, science, self-driving car, sensitivity analysis, social media, social science, society, speech recognition, steam, steam engine, supply chain, surgery, tax, tax credit, taxicab, technological singularity, technology, unemployment, visual impairment, watson (computer), wearable technology
Rafael Reif
President at MIT
apprenticeship, automation, college, communication, computer, corporation, disease, economic growth, economic inequality, education, future, human development (economics), incentive, intelligence, kindergarten, literacy, massachusetts institute of technology, price, research, rice, society, technology, united states, value (ethics)
Betsey Stevenson
Associate professor of public policy at University of Michigan
cost, learning, machine, machine learning, paper, speculation
Lisa Cook
Associate Professor at Michigan State University
algorithm, amazon (company), attention, bias, census, decision-making, doctor of philosophy, economics, economy, explanation, facebook, federal reserve, feedback, financial crisis, graduate school, janet yellen, macroeconomics, recession, research, san francisco, software , training, validation, and test sets, twitter, unemployment
Bo Cowgill
Assistant Professor at Columbia Business School Directory
advocacy group, algorithm, algorithmic bias, behavioral economics, bias, counterfactual thinking, decision-making, deterrence (penology), economics, evidence, experiment, hunger, learning, machine learning, prison, productivity, race (human categorization), recidivism, remand (detention), statistical significance, statistics, surveillance, theory, training, validation, and test sets, truth
Léa Stern
Assistant Professor in the Finance and Business Economics Department at Foster School of Business, University of Washington
adam smith, advertising, algorithm, bias, board of directors, chief executive officer, concept, corporate governance, data, decision-making, division of labour, divorce, economy, finance, future, governance, human, learning, machine learning, prediction, public sphere, racism, reason, space
Jason Furman
Professor of the Practice of Economic Policy at Harvard Kennedy School
5g, airbag, competition law, computer, computer science, economic policy, economics, employment, incentive, innovation, labour economics, machine learning, market (economics), mergers and acquisitions, network effect, presidency of donald trump, property rights (economics), recession, regulation, seat belt, self-driving car, tax, value of life, vehicular automation
Gillian Hadfield
Professor of Law and Professor of Strategic Management at University of Toronto Faculty of Law
ai control problem, bounded rationality, complexity, computer science, computer vision, economics, employment, ethics, ethics of artificial intelligence, franchising, future of humanity institute, human multitasking, intelligence, intelligent agent, machine learning, nick bostrom, rationality, research, self-driving car, social choice theory, superintelligence, system, the theory of moral sentiments, value (ethics)
Joao Guerreiro
Economics PhD Student at Northwestern University
austin, texas, automation, basic income, consumption (economics), contract, discrimination, economic inequality, economy, fee, flat tax, general equilibrium theory, gross domestic product, incentive, income, labour economics, library, mathematical optimization, optimal tax, politics, productivity, reason, redistribution of income and wealth, tax, texas, utility
Anton Korinek
Associate Professor of Economics at the Department of Economics at University of Virginia
analytics, behavior, capital (economics), consciousness, demand, economic growth, economics, economy, energy, experiment, g factor (psychometrics), human, intelligence, labour economics, market (economics), music, production function, productivity, property, property rights (economics), resource, technology, time, trade-off
Emilio Calvano
Senior assistant professor (fixed-term) at Department of Economics at University of Bologna
algorithm, backup, behavior, behavioral economics, corporation, data, debate, discounting, economy, experiment, god, information, knowledge, learning, machine learning, marginal cost, memory, observation, perception, price, reason, reinforcement, reinforcement learning, reward system, theory
Sendhil Mullainathan
University Professor, Professor of Computation and Behavioral Science at University of Chicago Booth School of Business
behavior, bias, chest pain, covariance, decision-making, econometrics, estimator, fee-for-service, gradient boosting, health, health care, health economics, health system, machine learning, medicare (united states), myocardial infarction, patient, preventive healthcare, science, selection algorithm, social science, system, teaching hospital, theory, university of pittsburgh medical center
Daron Acemoglu
Economist at Massachusetts Institute of Technology
automation, demand, economic growth, economics, economy, effect size, elasticity (economics), employment, employment-to-population ratio, industrial revolution, labour economics, market (economics), monopsony, optimism, price, production function, productivity, public rhetoric, public sphere, reason, recession, standard deviation, supply and demand, tax, textbook
Doina Precup
Associate Professor School of Computer Science at McGill University
Matthew Gentzkow
Professor of Economics at Stanford University
behavior, bias, censorship, entertainment, externality, facebook, fake news website, google search, incentive, information society, misinformation, netflix, news aggregator, news feed, personalization, propaganda, reason, search engine results page, social capital, the new york times, truth, twitter, utility, world wide web
Iain Cockburn
Professor of Finance & Economics at Boston University
advertising, automation, bank, census, emergence, employment, governance, internet, learning, luck, machine learning, manufacturing, national bureau of economic research, newspaper, ownership, patent, policy, productivity, property, robotics, social media, technology, united states census bureau, venture capital
James Bessen
Executive Director of the Technology & Policy Research Initiative at Boston University School of Law
agriculture, book, contract, crunchbase, customer, data, database, energy, evidence, future, information, law, money, north america, o'reilly media, profession, question, response rate (survey), sales, startup company, technology, training, united states
Prasanna Tambe
Associate Professor of Operations, Information and Decisions at University of Pennsylvania
analysis, bit, business intelligence, cluster analysis, computer science, computing, data science, database, deep learning, design, education, expert, intelligence analysis, learning, machine learning, prediction, research, sampling (statistics), science, social science, software , statistics, technology
Kristina McElheran
Assistant Professor of Strategy at University of Toronto Scarborough
analytics, apple inc., big data, census, cloud computing, computer, computing, decision-making, economics, economies of scale, evidence, fence (criminal), innovation, insight, intuition, machine learning, prediction, predictive analytics, privacy, productivity, question, reason, statistics, understanding
Mitsuru Igami
Assistant Professor of Economics at Yale Department of Economics
alphago, bias, brute-force search, convolutional neural network, deep blue (chess computer), dependent and independent variables, evaluation function, likelihood function, machine learning, maximum likelihood estimation, natural language processing, neural network, parameter, prediction, regression analysis, reinforcement learning, search algorithm, simulation, subroutine, supervised learning, understanding, universe, variance, zero-sum game
Edmund Phelps
Director of the Center on Capitalism and Society at Columbia University
ageing, austrian school, automation, creativity, economic equilibrium, economic growth, economics, economy of the united states, employment, factors of production, general equilibrium theory, immigration, innovation, interest, labour economics, market (economics), output (economics), prediction, productivity, property, siri, steady state, tax, technological unemployment, unemployment
Hal Varian
Chief economist at Google
accounting, audit, automation, baby boomers, birth rate, bracero program, china, dependency ratio, economics, education, employment, employment-to-population ratio, human capital, labour economics, macroeconomics, mass production, one-child policy, population, population growth, productivity, receptionist, robot, social science, vehicular automation
Kathryn Shaw
Senior Fellow at Stanford Institute for Economic Policy Research
analytical skill, bias, economic inequality, economics, education, empowerment, engineer, future proof, implicit stereotype, leadership, motivation, problem solving, productivity, psychology, reason, recession, science, science, technology, engineering, and mathematics, soft skills, teacher, team, understanding, usability, vocational education
Sara Castellanos
Emerging Technologies Reporter at The Wall Street Journal
artificial general intelligence, automation, black–scholes model, chatbot, cognitive bias, communication, deep learning, derivative (finance), finance, financial modeling, financial technology, innovation, machine learning, mathematical finance, neural network, openai, option (finance), political polarization, prediction, quantitative analysis (finance), retail, robotic process automation, technological singularity, volatility (finance)
Igor Halperin
Research Professor of Financial Machine Learning at NYU Tandon School of Engineering
artificial general intelligence, automation, black–scholes model, chatbot, cognitive bias, communication, deep learning, derivative (finance), finance, financial modeling, financial technology, innovation, machine learning, mathematical finance, neural network, openai, option (finance), political polarization, prediction, quantitative analysis (finance), retail, robotic process automation, technological singularity, volatility (finance)
Matei Zatreanu
CEO / Founder at System2
advertising, analytics, bank of america, confidence interval, correlation and dependence, credit card, customer lifetime value, facebook, finance, forecasting, ground truth, inflation, linear regression, pattern recognition, qualitative research, quantitative research, regression analysis, research, self-driving car, software testing, startup company, statistics, stock, subscription business model, time
Milind Sharma
CEO at QuantZ Machine Intelligence Technologies
advertising, analytics, bank of america, confidence interval, correlation and dependence, credit card, customer lifetime value, facebook, finance, forecasting, ground truth, inflation, linear regression, pattern recognition, qualitative research, quantitative research, regression analysis, research, self-driving car, software testing, startup company, statistics, stock, subscription business model, time
Rajesh Krishnamachari
Head of Data Science, Equities at Bank of America Merrill Lynch
advertising, analytics, bank of america, big data, coin, competition, confidence interval, correlation and dependence, credit card, customer lifetime value, data set, data type, economics, economy, facebook, feature selection, finance, forecasting, function (mathematics), ground truth, hedge fund, hilbert space, inflation, kernel (linear algebra), linear regression, machine learning, macroeconomics, macroevolution, music, music industry, pattern recognition, qualitative research, quantitative research, reason, regression analysis, reproducing kernel hilbert space, research, self-driving car, simon kuznets, software testing, sql, startup company, statistics, stock, subscription business model, time, video
George Bonne
Executive Director, Equity Factor Research at MSCI
algorithm, average, bias, correlation and dependence, data science, dimension, generation, information, interest, learning, machine learning, metadata, news, option (finance), prediction, regression analysis, research, risk, science, star, survivorship bias, tax, time series, united states, volatility (finance)
Matthew Dixon
Assistant Professor of Finance and Statistics at Illinois Institute of Technology
activation function, artificial general intelligence, artificial neural network, automation, big data, black–scholes model, chatbot, cognitive bias, communication, confidence interval, deep learning, dependent and independent variables, derivative (finance), dimension, empathy, finance, financial modeling, financial technology, information theory, innovation, kullback–leibler divergence, lasso (statistics), logistic regression, machine learning, mathematical finance, mathematical optimization, mind, neural network, openai, option (finance), overfitting, political polarization, prediction, principal component analysis, quantitative analysis (finance), regression analysis, regularization (mathematics), retail, robotic process automation, statistical classification, statistics, technological singularity, time series, training, validation, and test sets, volatility (finance)
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