Blog Post:In June of this year, we launched, for the first time, the Adobe Digital Marketing Research Awards for North America university faculty. Professors focused on digital marketing from top universities in the U.S. and Canada submitted proposals. We selected eight proposals and recipients received $50,000 each to fund data science projects in the areas of media optimization, analytics, social, and more. As one of the largest software-as-a-service platform providers in the world, Adobe has quickly become a powerhouse in digital marketing with petabytes of rich data assets and Fortune 500 customers to prove it. We are doing exciting, industry-leading work in data science for customers such as predicting consumer preferences, determining marketing mix attribution, and maximizing social media engagement. These awards will enable us  to collaborate with the academic data science community to fuel innovative research in digital marketing. We’re seeing talented people make incredible advances in data science at the university level, and Adobe wants to help further their research. We believe that collaboration between industry and academia can push the frontiers of how data science is used in digital marketing, and we’re excited to see what these awards can help researchers accomplish. From the proposals received, below is a highlight of the winning research projects.  Recipient: Ramesh Johari, Stanford University Project: Causal Interface Meets Machine Learning: Using Predictive Models to Evaluate Interventions “It’s a great benefit that Adobe is running this research grant program because it provides a chance to demonstrate proof-of-concept before scaling up a research project,” Johari says. “It is ideal for high-risk, high-reward ideas.”  Recipient: Peter Bartlett, University of California, Berkeley Project: Sequential Decision Methods for Optimizing Long-Term Value “This award is facilitating collaborations with Adobe researchers and helping me and my students and postdocs to learn about applications of our research in digital marketing,” Bartlett says. “The awards will facilitate better connections between researchers in Adobe and the rest of the research community, giving an opportunity to steer that community's research agenda in a direction that addresses problems that arise in digital marketing.” Recipient: John Owens, University of California, Davis and Stephen Boyd, Stanford University Project: Scaling Convex Optimization with GPUs “In an era of declining governmental support of research coupled with incredibly interesting problems in industry, I couldn't be happier that Adobe is reaching out to the research community with these awards and the opportunity to work with Adobe's amazing engineers.” Recipient: Lise Getoor, University of California, Santa Cruz Project: Cross-Device Graph-based Entity Resolution “Collaborating and working with industry is an important component of my research and having this opportunity to work with Adobe is extremely exciting,” Getoor says. “These awards are a great way to help build ties between industry and academia.” See a full list of award recipients here. Find more information on the Adobe Digital Marketing Research Awards Program here. Author: Date Created:October 16, 2014 Date Published: Headline:Adobe Awards Research Grants to Fund Innovative Data Science Projects Social Counts: Keywords: Publisher:Adobe Image:https://blogs.adobe.com/digitalmarketing/wp-content/uploads/2014/10/Digital-Marketing-Award-1600x900.jpg

In June of this year, we launched, for the first time, the Adobe Digital Marketing Research Awards for North America university faculty. Professors focused on digital marketing from top universities in the U.S. and Canada submitted proposals. We selected eight proposals and recipients received $50,000 each to fund data science projects in the areas of media optimization, analytics, social, and more.

As one of the largest software-as-a-service platform providers in the world, Adobe has quickly become a powerhouse in digital marketing with petabytes of rich data assets and Fortune 500 customers to prove it. We are doing exciting, industry-leading work in data science for customers such as predicting consumer preferences, determining marketing mix attribution, and maximizing social media engagement. These awards will enable us  to collaborate with the academic data science community to fuel innovative research in digital marketing.

We’re seeing talented people make incredible advances in data science at the university level, and Adobe wants to help further their research. We believe that collaboration between industry and academia can push the frontiers of how data science is used in digital marketing, and we’re excited to see what these awards can help researchers accomplish.

From the proposals received, below is a highlight of the winning research projects. 

Recipient: Ramesh Johari, Stanford University

Project: Causal Interface Meets Machine Learning: Using Predictive Models to Evaluate Interventions

“It’s a great benefit that Adobe is running this research grant program because it provides a chance to demonstrate proof-of-concept before scaling up a research project,” Johari says. “It is ideal for high-risk, high-reward ideas.”

 Recipient: Peter Bartlett, University of California, Berkeley

Project: Sequential Decision Methods for Optimizing Long-Term Value

“This award is facilitating collaborations with Adobe researchers and helping me and my students and postdocs to learn about applications of our research in digital marketing,” Bartlett says. “The awards will facilitate better connections between researchers in Adobe and the rest of the research community, giving an opportunity to steer that community’s research agenda in a direction that addresses problems that arise in digital marketing.”

Recipient: John Owens, University of California, Davis and Stephen Boyd, Stanford University

Project: Scaling Convex Optimization with GPUs

“In an era of declining governmental support of research coupled with incredibly interesting problems in industry, I couldn’t be happier that Adobe is reaching out to the research community with these awards and the opportunity to work with Adobe’s amazing engineers.”

Recipient: Lise Getoor, University of California, Santa Cruz

Project: Cross-Device Graph-based Entity Resolution

“Collaborating and working with industry is an important component of my research and having this opportunity to work with Adobe is extremely exciting,” Getoor says. “These awards are a great way to help build ties between industry and academia.”

See a full list of award recipients here. Find more information on the Adobe Digital Marketing Research Awards Program here.