Daniel Solow, PhD, professor of operations, pursues several streams of research. The first area is complex systems, which are systems made up of a number of individual “agents” that interact in complex ways. He has developed mathematical models that provide insight on how much interaction among employees and managers is good for performance and the role and value of leadership. Related research identifies when, how and how much central control benefits a complex system. Solow's second research area involves developing computer programs for solving decision problems in business, engineering, economics, mathematics and computer science. His third focus is in developing systematic teaching methods to help college and graduate students learn advanced mathematics. In addition, Solow is the author of numerous books, including The Keys to Linear Algebra, The Keys to Advanced Mathematics, How to Read and Do Proofs, and Linear Programming: And Introduction to Finite Improvement Algorithms, 2nd Edition. His academic publications focus on deterministic optimization and complex adaptive system and have appeared in numerous journals including Management Science, Organization Science, Computational and Mathematical Organization Theory and International Journal of Operational Research. Since his appointment to Case Western Reserve University in 1978, Solow has presented at numerous conferences and institutions including Asian Simulation and Modeling Conference, Naval Postgraduate School and the Canadian Mathematical Society. Solow earned a PhD from Stanford University, a MS from University of California at Berkeley, and his BS from Carnegie-Mellon University. In the classroom, Solow teaches the use of quantitative methods such as statistics and modeling for use in decision making to Weatherhead School of Management MBA and master's students. Solow is the 1981, 2010 and 2015 recipient of the Weatherhead Teaching Excellence Award, which is based on graduate student nominations.