The U.S. Chamber of Commerce Foundation's Data-Driven Innovation Project explores the rapid advancements happening in the digital economy as well as the inventive use of data for good. The promise of bigger and better data is a future of greater opportunity and growth. The Foundation is conducting research activities and a series of events around the country in order to highlight this potential.
We encourage you to read the blog posts and research reports here to gain a full understanding of the U.S. Chamber of Commerce Foundation's work on data-driven innovation.
Be sure to read our in-depth report, The Future of Data-Driven Innovation.
Our meeting on March 7, the first in a series led as a joint effort between the U.S. Chamber of Commerce Foundation and Lumina Foundation, kicked off an eight month sprint of work to improve the talent marketplace. All of the organizations involved are experts on today’s emerging technologies, such as semantic web standards (e.g., linked data), distributed ledger technologies (e.g., blockchain), artificial intelligence, and machine learning. We know that these technologies have the power, if leveraged properly, to transform the talent marketplace and drive future innovation.
In Different Skills, Different Gaps: Measuring and Closing the Skills Gap, prepared for the U.S. Chamber of Commerce Foundation by Burning Glass Technologies, we examine the skills gap on an occupation-by occupation basis. This is the best way to both understand the gap, and to close it. An overall surplus of workers doesn’t offer much insight into the challenges of a specific industry looking to fill specific roles requiring specific skills.
Closing the communications gap requires investments on both sides of the equation. Employers and education providers must work together to ensure the signals are accurate, clear, and verifiable. As the use of digital credentials expands, job seekers will gain unprecedented insight into the link between what they learn and the sort of employment opportunities that exist in their community -- or around the country. And for employers, the improved signal-to-noise ratio means a higher percentage of qualified applicants for each job opening, and improved ability of hiring managers to identify the best candidates for their position.