Project Title:

Investigators:

Names and institutions

Expertise relevant to the project

Role & percent effort

What expertise is missing (if any)?

Abstract:

Please provide a brief summary highlighting the:

• Compelling science/engineering challenge;

• The tipping point where a timely investment in data-intensive approaches has the maximum potential for a transformative effect;

• New strategies, innovative approaches, algorithms, or methods being proposed;

• Ways in which the proposed research will accelerate discovery?

Considering the science/engineering challenge being addressed:

• Why is this a tipping point opportunity?

• How would this advance beyond the state of the art?

• Why is now the right time?

Considering the proposed data science approach:

• Define the associated data (ex. volume, complexity, heterogeneity) or data science (ex. machine learning, modeling, computational complexity, scalability) challenge.

• Identify the novelty in the proposed approach and describe how it will lead to advances beyond the state of the art.

Describe the synergy between the scientists/engineers and data scientists.

High level 2-year project timeline

What is the plan/mechanism to assess success?

Budget Overview (broad categories & estimates of requested funds)

What are the broader impacts of the proposed project?