Martin Whittaker, CEO of JUST Capital, and Tianhui Michael Li, CEO of The Data Incubator, have announced The Data Challenge for America, which will leverage The Data Incubator’s free data science fellowship to investigate the link between corporate justness and the associated performance data of the country’s largest corporations.
Each quarter, the fellowship receives thousands of PhD and masters applicants who will be asked to propose a capstone project to highlight their skills to employers. The best projects will be selected to participate in the free fellowship, to present their results to the JUST board, and to see their results incorporated into JUST Capital’s high-profile work.
This partnership will address the two fundamental challenges facing the impact and philanthropic space: access to data and the knowledge of how to process it.
JUST Capital’s metrics are derived from surveys of over 50,000 people all around the country on the issues they prioritize, and will be analyzed in conjunction with the performance data of the country’s largest corporations, in order to create innovative measures to determine which major corporations are performing well on issues that matter most to the public. In the past, corporate justness has been measured on the existence of policies, but this partnership will discover and analyze actual corporate performance and outcomes based on these policies.
The challenge projects will look at how data science can help create a more just economy that better serves the broader best interests of the country. For instance, how can companies be incentivized to help produce better outcomes on income inequality or building healthier communities? What actions should investors and companies take to optimize better social outcomes and financial performance? Which metrics are most powerful in predicting future performance?
About The Data Incubator
The Data Incubator is a Cornell-backed data science education company based in NYC, DC, and SF with both corporate training as well as recruiting services. For data science corporate training, we offer customized, in-house corporate training solutions in data and analytics (video). For data science hiring, we run a free 8 week fellowship training PhDs to become data scientists. The fellowship selects 2% of its 2000+ quarterly applicants and is free for fellows. Hiring companies only pay a recruiting fee only if they successfully hire. You can read about us on Harvard Business Review, Tech Crunch, Venture Beat, The Financial Times, Wall Street Journal, or The Next Web, or read about our alumni at LinkedIn, Capital One, Palantir, Amazon or the NYTimes.
For more information, please contact:
Director of Marketing
Phone: (646) 854.2156