This post originally appeared in ODBMS Industry Watch. I have interviewed Giovanni Buttarelli, head of the European Data Protection Supervisor. We talked about the mission of the European Data Protection Supervisor (EDPS), Digital Ethics, AI, China, USA, Tech companies, Democracy and many more… Q1. What is the mission of the European Data Protection Supervisor (EDPS)? […]
This article originally appeared in Working Knowledge. In the mid-1990s, Target was a discount superstore behemoth. The retailer had set itself apart from chief rival Walmart with a focus on more upscale but wallet-friendly fashion and lifestyle lines, spurring double-digit growth by double-digits each year for more than a decade.
The idea of using data to drive social impact sounds sexy, cool and exciting. But what does it mean in practice? Where are the tangible examples of how it is being done? Let’s first start with a more basic question. What constitutes social impact? To me, social impact occurs when a person has experienced a […]
While satellites may be some of our most impressive technology, they are bogged down by a single bottleneck — data. Satellites orbiting Earth routinely struggle to relay data back down to Earth in a timely manner, with sizable implications for the real world, on the ground economy. This is why companies like Analytical Space are hoping to tap into the big data space revolution that is just waiting to happen.
Machine learning is a popular topic in most industries these days, and it will come as no surprise that this is true for astronomy and astrophysics as well. University of Colorado PhD student Avery Schiff explores how a deep learning algorithm is being used to classify galaxy morphologies in this article from graduate student astronomy journal Astrobites.
It’s a declaration we’ve all heard before: “We need more collaboration! We need to break out of our silos and build integrated, cross-functional teams!” But what if — when it comes to collaboration — there can be too much of a good thing? This is the hypothesis Professor Jeff Polzer set out to test with his research on collaborative overload, that is how the amount of collaboration relates to organizational productivity. Using digital trace data to analyze organizational productivity at scale, Professor Polzer finds some answers that may surprise you.
Women are more likely than men to drop out of data science classes when they receive a low score in an early assignment. The Coursera team shares how they’re using targeted interventions to tackle this trend and help close the gender gap in STEM.
As the largest online learning platform for higher education, Coursera has global scale. In this flash talk from our 2018 Future Assembly, Head of Data Science Emily Glassberg Sand shares how she and her team of data scientists harness data from millions of participants to enhance learner outcomes and deliver personalized, targeted recommendations on everything from suggested courses to difficult problems.
Technology is rapidly transforming the entire sports industry and revolutionizing how athletes train, perform and heal. This event, co-hosted by the Harvard Innovation Lab, OneTeam Collective, and the Sports Innovation Lab, provides an overview of the quantified athlete and sports technology space, from fitness tracking and predictive performance analytics to real-time analytics and athlete career management.
