There are those that think that data is the oil of AI and the focus should be clean data, data science and deep understanding of what the data means. There are those that say data is meaningless ...

In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional ...

The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...

Social Indicators Research, Vol. 135, No. 1 (January 2018), pp. 1-14 (14 pages) In this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets.

Join us for an engaging roundtable of how to combine these insights to inform robust and effective instructional programming to promote equity and help students succeed. Our seasoned educator ...

New York City runs on algorithms, at least 46 different algorithmic tools to be exact. Behind the rapid expansion of these tools is an example of how America’s biggest city is aiming to be transparent ...

This is an updated version of the article that explains the quantitative algorithms in The Data Driven Investor. How they work and how they can be used. Nothing new is introduced in this text, we are ...

The Data Revolution is no longer a new topic but a reality trying to catch up with the expectations it has generated. The private sector is investing billions in new start-ups and technology companies ...

The world of crypto trading is undergoing a seismic transformation. What was once a volatile, sentiment-driven market is increasingly governed by machine learning models, sentiment analytics, and ...

Business leaders and social scientists know: bad data in, bad data out. As the country struggles with demands for systemic change in policing, would-be reformers are suggesting that "data-driven ...