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Research Areas

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Research in MS&E spans a broad intellectual spectrum, and our work often involves cross-disciplinary integrations across areas of the department and Stanford as a whole.

Research Areas

Computational Social Science Decision Analysis & Risk Analysis Economics and Finance
Organizations, Technology and Entrepreneurship Probability and Stochastic Systems Operations Management
Strategy and Policy Systems Modeling and Optimization  
     


Computational Social Science

The design and operation of networks requires technical concepts such as information theory, algorithms, and optimization, but also depends on economic, social, and even political factors.

One example is the concept of net neutrality, in which infrastructure providers seeking to recoup their investments by charging differently based on bandwidth consumption come into conflict with users who oppose making economic distinctions related to information content. The department has deep expertise in all facets of these and other problems of technology implementation and usage in the real world.

Decision Analysis and Risk Analysis

MS&E Professor Ron Howard pioneered the field of decision analysis starting in 1964. And MS&E continues to lead in the field today.

Although many people make personal decisions instinctively and haphazardly, a more serious approach essential for management is to analyze the problem as a three-legged structure of preferences, alternatives, and available information in the context of a frame.

Economics and Finance

Through systematic analysis and application of sophisticated mathematical tools, engineers make vital contributions to understanding commodities, credit, currencies, derivatives, equities, pricing, profits, resources, and other core economic and financial concepts.

Research and teaching in the department cover a range of topics including investments, economic growth, natural resources and energy, entrepreneurship, and microeconomics.

Organizations, Technology and Entrepreneurship

Research spans the study of technical work, technology's effects on individuals and teams, the formation and growth of entrepreneurial firms, and strategy and innovation in technology-based firms.

Some projects examine the role of technology in the work of engineers, including the interplay between workplace technologies and engineering knowledge, on-the-job learning, problem-solving, and coordination. Other research investigates the dynamics of globally distributed work teams, the implications of contracting and outsourcing, human-robot interaction in the workplace, and evidence-based management.

At the firm-level, research examines how entrepreneurial firms gain financing, build alliance networks, and grow. Other investigations center on established firms, including creating successful R&D collaborations across businesses, effectively competing against other firms, and entering new markets. Researchers also study strategies that enable established organizations to discover, develop, and commercialize technologies.

Probability and Stochastic Systems

In many complex systems, randomness plays an integral part in the outcome of an event.

The likelihood of a system to produce an event is based on the initial state and a range of parameters. Results are predicted and described by a number of mathematical methods in this academic field, including: axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, limit theorems, discrete and continuous time parameter Markov chains, queuing theory, inventory theory, and simulation.

Operations Management

Operations Management involves the development, manufacturing and distribution of products and the provision of services in the modern global economy.

Problems studied involve scheduling, inventory control, supply chain coordination and contracting, product development, operations strategy, and "green" or environmentally friendly sustainable systems. Underlying methodologies used include mathematical modeling (both deterministic and stochastic), game theory, economic analysis, and simulation.

Strategy and Policy

Research and teaching in this area focus on the design and analysis of public policies and corporate strategies, especially those with technology-based issues.

It features a grounding in microeconomics and modeling approaches. Courses with a policy focus include such topics such as national security, energy and environment, and health care. Courses with a strategy focus cover topics such as entrepreneurship, innovation, and product development.

Systems Modeling and Optimization

An optimization problem involves finding values of the variables that minimize or maximize an objective function while satisfying constraints.

For example, how might a meat packer running a supply chain minimize fuel use given the constraint of needing to get one ton of hamburger to 50 customer warehouses by 6 a.m. each day?