Promoting the use of data science in marketing.

Every year, Adobe funds a university faculty research program to promote the understanding and use of data science in the area of marketing. Our goal is to encourage both theoretical and empirical development of solutions to problems in marketing.

Adobe will provide funding support of up to $50,000 to a North American academic institution, college, or university for each selected research proposal. Awards will be in the form of an unrestricted gift to the academic institution under the names of the researchers who submitted the proposal.

Each proposal will address an area of interest relative to Adobe Experience Cloud. This comprehensive set of cloud services gives businesses access to an integrated set of solutions to build campaigns, manage advertising, and gain deep intelligence about the business. It’s everything a company needs to drive brand growth and orchestrate an amazing customer experience.

Topics for research include, but are not limited to, the following areas:

Grant Submission Guidelines & FAQ

Who is eligible to receive the grant?

Full-time faculty members from North American universities

How long should the proposal be?

Preferably two pages

Submission requirements:

Title, proposer name and contact information, research goals, description of project(s), use of funds

Award Range:

Up to $50,000 (US)

*Adobe does not pay for overhead on unrestricted gifts. This unrestricted gift should not be used for indirect costs, administrative costs, and overhead charges.

Deadline:

February 14, 2020

Send proposals and questions to dma-research-awards@adobe.com

February 2019 Award Winners

Indiana University's Roni Khardon

Effective Decision Making in Large Action Spaces

Texas A&M University's Xia "Ben" Hu

Learning Post-hoc Explanations of Deep Neural Networks with Applications in Marketing

University of California Davis' Yong Jae Lee

AI-powered Personalized Visual Content Creation

University of Georgia's Sheng Li

Beyond User Profile: Multi-sense Customer Knowledge Graph for Personalized Experience

University of Washington's Tim Althoff

Neural User Representation Learning for Large-scale Observational Studies

Visit Adobe Research for more information.