Innovative Applications in Analytics Award Application Process

Brought to you by the Analytics Society of INFORMS, Kinaxis and Adelphi University

Applicants must submit a summary of their work (no more than 1,000 words).

The summary should include the following parts:

Abstract: A brief description of the application, including a problem description, descriptive, predictive and prescriptive analytics, and impact. Explain why the application is innovative. If the application is selected as a finalist, the abstract may be used in conference promotional materials.

Introduction: A general description of the work and its importance.

Analytics components: The committee favors the descriptive, predictive and prescriptive model of Analytics. With that in mind, a description of the work covering these three types of analytics is preferred.

Conclusion: The conclusion should mention current impact on the organization (better if there is an economic quantification); why the work is innovative; and how the work would help the advancement of the field (like future developments that can originate from the application, or how it might be leveraged in new areas).

References: If the work has generated economic impact on the organization or customers, references that can validate these claims are important.

Note: It is understandable if some of the details of the implementation cannot be shared with the judging panel and the public, but there should at least be a clear description of the Analytics tools used and their interaction.

Applications simultaneously submitted to any other INFORMS award will not be considered.

Judging Criteria

Submissions will be evaluated on the basis of an initial 500-1000 word submission. Extended submissions may or may not be considered by the judges.  The following aspects are a key part of the judging process:

• Level of uniqueness, creativity, value and (potential) contribution of the analytical techniques developed.

• Applications of at least two of the three types of analytics: descriptive, predictive and prescriptive. Submissions that span all three dimensions of analytics are preferred.

• Applications are required to demonstrate their use in practice; to the extent implemented savings are claimed in the submission, the judging panel will seek verification of the implementation.

• Submissions that have the potential for more widespread use will be given added consideration, but particularly clever innovations with narrow focus are also highly valued.

The judging panel might contact participants for clarification and further discussion if considered necessary.

The judging panel, solely at its discretion, might choose to call in subject matter experts to provide insights on an individual submission.

All decisions of the judging panel are final.  The judging panel can decide in any year that no award will be given if no suitable applications are received.

In addition to the prestige associated with the prize, the finalists will have the opportunity (and be expected) to present their work during the 2020 INFORMS Business Analytics and Operations Research Conference in Aurora, Colorado in April. Each finalist team will work with a coach to prepare their final presentation.

Selected finalists will receive:

• Cash awards of $3000, $2000, and $1000 for the first three teams.
• Recognition of the winning team at the Analytics Society business meeting at the INFORMS Annual Meeting, Nov. 8 - 11, 2020 in National Harbor, Maryland.

Key Dates

Deadline for applications – November 22, 2019
Semi-finalists Selection – December 20, 2019
Finalists Selection - January 31, 2020
Presentation deck submission for judges,April 15, 2020

Finalists' presentations - April 28, 2020 during the INFORMS Business Analytics and Operations Research Conference in Aurora, Colorado.
Winner presents – November 8-11, at the 2020 INFORMS Annual Meeting in National Harbor, Maryland and is recognized during the Analytics Society business meeting.

Applications, as well as questions and inquiries, should be submitted by email to prize co-chair Juan Jaramillo at


2020 IAAA Chairs

Pallav Chhaochhria, PhD
2020 IAAA Chair
Director - Algorithmic Trading at Citi

Juan R. Jaramillo, PhD
2020 IAAA Co-chair
Associate Professor of Analytics
Department of Decision Sciences
Robert B. Willumstad School of Business
Adelphi University