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Saul Gass Expository Writing Award

INFORMS Online

This award recognizes an author whose publications in operations research and management science have set an exemplary standard of exposition. A submission should focus on expository writing, not research accomplishments.

The awardee's written work, published over a period of at least ten years, should indicate (in terms of breadth of readership) an influence and accessibility enhanced by expository excellence. Criteria include the lucidity, conciseness, logic and interest of the writing at all levels, from the general organization to the details. The author must have affected, through these publications, how something is done, studied, taught, or thought about by some group within the OR/MS community.

The written work can contain any combination of practical, theoretical and pedagogical subject matter, and may be original, synthetic or historical. The corpus as a whole must be substantial in content, not necessarily prize-worthy in itself, but not trivial.

Enough of the publications in question must have been singly authored to demonstrate the awardee’s expository skill. A team of authors writing together consistently over many years may also be considered for the award.

The winner will receive $2,000 and a framed certificate that includes a brief citation at the INFORMS Annual Meeting.

AI Based Application Success Predictor

1. Strong alignment with operations research or analytics

The most competitive applications directly address:

operations research (OR)
optimization
machine learning for decision-making
data analytics
statistics
supply chain modeling
healthcare analytics
revenue management
simulation
decision science

INFORMS prioritizes work with clear relevance to OR and analytics disciplines.

2. Strong methodological rigor

A major predictor of success is a robust technical approach, such as:

mathematical modeling
optimization methods
simulation studies
statistical validity
reproducibility
computational rigor
clear analytical framework

Applications with vague methods or weak modeling rationale are typically less competitive.

3. Clear real-world impact or practical application

INFORMS strongly values work that can be applied in practice, especially in:

healthcare
logistics
transportation
finance
manufacturing
public policy
sustainability
energy systems

Projects demonstrating measurable operational or societal impact tend to score highly.

4. Innovation in analytics or decision science

Competitive applications often include:

novel algorithms
new optimization methods
AI/ML applications to OR
predictive analytics
decision-support systems
interdisciplinary quantitative innovation

Innovation combined with practical usefulness is particularly strong.

5. Strong academic record and publications

Reviewers often look for:

peer-reviewed publications
conference papers
technical reports
dissertation quality
prior OR/analytics contributions
evidence of scholarly productivity

For student awards, publication promise and research potential are heavily weighted.

6. Clear communication of technical work

Because INFORMS spans both academia and industry, successful applicants often explain:

the business or scientific problem clearly
why the method matters
expected outcomes
implementation value
who benefits from the work

Clear communication of complex analytics is a recurring differentiator.

7. Student and early-career promise

For scholarships and student awards, strong predictors include:

PhD or master's research quality
advisor support
leadership within the OR/MS community
conference participation
future contribution potential

INFORMS offers scholarships supporting attendance at its Annual Meeting, especially for students and early-career researchers.

8. Relevance to industry or decision-making challenges

High-scoring projects frequently solve practical problems such as:

resource allocation
scheduling
forecasting
uncertainty management
inventory planning
network optimization
business analytics

Projects with a direct decision-support angle tend to align strongly with INFORMS priorities.

9. Interdisciplinary collaboration

Competitive proposals often involve collaboration across:

mathematics
computer science
engineering
economics
public health
business
industrial systems

Cross-disciplinary quantitative applications are common among successful projects.

10. Strong conference engagement and visibility

INFORMS places value on:

presenting at INFORMS Annual Meetings
participation in sections/societies
networking within the INFORMS community
workshop contributions
leadership in student chapters

Professional engagement can strengthen competitiveness for scholarships and recognition programs.

Common Reasons for Rejection

Frequent reviewer concerns include:

weak OR/analytics alignment
insufficient methodological detail
low practical relevance
unclear impact
incremental rather than innovative contribution
poor communication of technical work
limited feasibility or implementation pathway

Specialties

Public Health

Eligibility Requirements

Criteria include the lucidity, conciseness, logic and interest of the writing at all levels, from the general organization to the details. The author must have affected, through these publications, how something is done, studied, taught, or thought about by some group within the OR/MS community.

Sponsor Details

Sponsor Institute/Organizations: INFORMS Online

Sponsor Type: Corporate/Non-Profit

Address: 5521 Research Park Drive, Suite 200 Catonsville, MD 21228

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