10 Business Books for Your Summer Reading List

The University of Maryland’s Robert H. Smith School of Business is excited to announce some favorite books in the 14th Annual Top-10 Summer Reading List for Business Leaders for 2017, as recommended by faculty members. (1) The Undoing Project: A Friendship that Changed Our Minds By Michael Lewis (2016)

Smith School Formula Helps Computer Triumph in 'Go'

SMITH BRAIN TRUST — A computer created by Google engineers knocked off one of the world's greatest human players of the Chinese game Go this week — a landmark in the development of artificial intelligence. In doing so, it made use of an approach to the computerized analysis of decision-making first developed at the Smith School and Maryland's engineering school.

NSF Awards $340K for Risk Management Study

Michael Fu, Ralph J. Tyser Professor of Management Science at the Robert H. Smith School of Business, with UMD colleague Steven Marcus, has received a $340K grant from the National Science Foundation to develop a new framework for incorporating risk into sequential decision-making under uncertainty.

How Sellers Can Better Understand Demand

For B2B sellers, knowing how much the buyer is willing to pay is difficult. New research from Maryland Smith is helping to figure it out.

New Model Supports Better COVID-19 Planning

New predictive model is helping decision makers better forecast the spread of the COVID-19 pandemic.

Summer Reading List 2020

It's the 17th annual Summer Reading List for Business Leaders – your summer reading guide as recommended by Maryland Smith's faculty experts.

A New Approach to Data-driven Modeling

Research offers new approach for data-driven predictive analytics models as an alternative or compliment to AI approaches.

A Mathematically Rigorous Way To Analyze Statistics from Simulations

New research from Maryland Smith’s Michael C. Fu offers a rigorous way to analyze statistics generated from simulation models.

Understanding the Numbers Game

When simulating complex systems, getting the numbers right can be tricky. In new Smith School research, Michael Fu explores methodologies that can help streamline that process.

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