Cigdem Z. Gurgur is Associate Professor of Decision and System Sciences at Purdue University. She is a data and management science expert with experience in optimization models under uncertainty and decision support systems development with algorithmic theory design. Dr. Gurgur’s work utilizes meta-analytics, computational models, and statistical analysis for resource allocation and applies mathematical programming integrating financial and operational risk assessment. Her most recent work encompasses blockchain technologies in advancing applied research for data science and the United Nations (UN) Sustainable Development Goals. Dr. Gurgur’s consulting and executive education focuses on the healthcare industry, including medical wire and device manufacturing, revenue management, and emerging technology in business and sustainable innovation. Her research has been published in various journals, including Naval Research Logistics, Renewable Energy: An International Journal, Journal on Applied Analytics, and Journal of the Operational Research Society. Dr. Gurgur is Editor of Data & Policy. Previously, she was on the faculty at Colorado School of Mines and held an NSF fellowship in environmentally benign manufacturing. Dr. Gurgur earned a master's of science degree in management science from the University of Warwick, UK; a master's of science degree in applied and mathematical statistics from Rutgers University; and a PhD in industrial and systems engineering from Rutgers University. She can be reached at firstname.lastname@example.org.