Bonder Scholarship

Bonder Scholarship

The Health Applications Society of INFORMS invites applications from qualified doctoral candidates for the Bonder Scholarship for Applied Operations Research in Health Services. Doctoral candidates, particularly those with two to three years remaining in their programs, with an interest in the application of process modeling and OR analyses to issues in health care design, delivery, or operations are encouraged to apply.



The purpose of the Bonder Scholarship for Applied Operations Research in Health Services is to promote the development and application of process modeling and operations research analyses to health care design, delivery and operations. The scholarship provides funding of $5,000 ($US) to support the development of highly qualified individuals and promote the interchange of health services research knowledge in conjunction with INFORMS.

The Award

The Bonder Scholarship consists of a grant of $4,000 that is intended to provide financial support for a promising new researcher. In addition, the award winner will be eligible for up to $1,000 of travel funding to support his or her participation in the activities of the Health Application Society at the annual INFORMS conference. INFORMS will waive registration fees for the awardee. The tenure of the award is one year.

Selection Criteria

The scholarship will be granted on the basis of excellence, innovation, preparation, and the probability of a candidate's success. Candidates will be evaluated on the quality of their preparation to undertake a program of applied operations research in the field of health care. The proposed program of research will be judged according to its potential for making a significant contribution to the field of applied OR in health care systems, as well as the likelihood of successful completion.


Students pursuing doctoral studies in health operations research or a related discipline are eligible. Applications from US and international students are welcome.
Application procedures
Candidates are asked to forward their applications electronically in pdf format by June 10, 2016 to the Chair of the Bonder Committee. Please submit:
  • A detailed curriculum vitae, which must include a list of all educational study after the level of a Bachelor's degree or equivalent (i.e., school, program, major, dates of attendance and graduation date if completed).
  • Two letters of support. One letter should come from the student's primary academic advisor (usually dissertation chair), and this letter should include a statement that the student has completed one academic year (at least 8 months) but no more than three academic years (at most 36 months) in any doctoral program.
  • Brief statement limited to one page describing why they are interested in applying operations research to healthcare issues.
  • Three-page summary of their proposed program of research (including any graphics, but a bibliography is not counted in the three pages).


All applicants will be notified by August 20, 2016 of the results of the competition.


Dr. Seth Bonder was the founder and CEO of Vector Research, Incorporated (VRI) for 31 years. VRI is recognized for its quality and innovations in applying OR/MS to public and private sector enterprises. Throughout his distinguished career, Dr. Bonder has been a leader in applying operations research to national defense planning and policy issues, and subsequently to health care delivery reengineering and disease management practices. He established this scholarship to encourage the application of scientific operations research approaches to health care delivery systems, processes, and enterprises. Dr. Bonder has made major contributions to the operations research profession. He has served as president of the Operations Research Society of America and the Military Operations Research Society, and as vice president of the International Federation of Operational Research Societies. He has been the recipient of numerous awards, including the Patriotic Service Award from the US Secretary of the Army, the George E. Kimball Medal, and the INFORMS President's Award He is a member of the National Academy of Engineering.

Previous Recipients

Year   Recipient   Title   School
2017 Justin Boutilier Emergency Medical Service Response Time Optimization University of Toronto
2016 Alba Rojas-Cordova Pharmaceutical R&D Resource Allocation in the Presence of Adaptive Clinical Trials Virginia Polytechnic Institute and State University
2015 Hadi El-Amine Robust post-donation blood screening under prevalence rate uncertainty Virginia Polytechnic Institute and State University
2014 Jónas Oddur Jónasson Improving HIV early infant diagnosis supply chains in sub-Saharan Africa: Models and application to Mozambique London Business School
2013 Pooyan Kazemian Dynamic monitoring and treatment control of chronic diseases University of Michigan
2012 Amin Khademi Managing HIV treatment allocation in resource-limited settings University of Pittsburgh
2011 Lauren Cipriano Information Collection in Dynamic Healthcare Policy Stanford University
2010 Turgay Ayer Designing a New Breast Cancer Screening Program: Risk-Tailored Screening University of Wisconsin-Madison
2009 Murat Kurt Incorporating Patient Autonomy into Paired Kidney Exchanges University of Pittsburgh
2008 Minsun Kim Spatially and Temporally Optimized Radiotherapy Planning University of Washington
2007 Burhan Sandikci Quantitative Estimates of the Price of Privacy in Liver Transplantation University of Pittsburgh
2006 Mariel Lavieri Improving Accessibility to Radiation Therapy for Cancer Patients University of British Columbia
2005 Elisa Frances Long The interaction of AIDS and TB in populations in developing nations Stanford University
2004 Steven Shechter Markov Decision Processes and HIV Therapy Planning University of Pittsburgh
2003 Stephen Resch Optimal Dynamic Response to Concurrent Tuberculosis and Multidrug-Resistant Tuberculosis Epidemics Harvard Center for Risk Analysis
2002 Xuanming Su Allocation of Kidneys To Autonomous Transplant Candidates: A Sequential Stochastic Assignment Model Stanford University