In India, approximately 74,000 women die from cervical cancer every year, accounting for 1/3rd of the burden of cervical cancer deaths globally. Less than 10,000 pathologists must service a population of 1.3 billion people. Efforts to increase the number of trained specialists has had limited success, leaving these cancers largely undiagnosed.
In this interview, Professor Tarun Khanna discusses his new book, Trust: Creating the Foundation for Entrepreneurship in Developing Countries. Khanna stresses that on top of specializing in a particular area, entrepreneurs working in developing countries must construct the conditions for success. How do you create these conditions? He encourages entrepreneurs to start by building a foundation […]
View the full report, “Inclusive Digital Transformation in India: Improving Digital Financial Services for the Poor Through Human-centered Design.” Gandhali, a farmer living in rural Bihar, India, doesn’t own a mobile phone; she borrows her son’s to talk with her brother in the next village. She has a bank account, but resents the half-day trip […]
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.
Space missions today are an increasing mix of public and private ventures. But what happens when the worst happens and something goes wrong? Who pays for the costly damage? Take a look inside a surprisingly important piece of the space sector puzzle — insurance.
There’s no question that the space industry is undergoing drastic change, but how do you create the proper incentives for success with so many interdependent business models within the space sector? Professor Matt Weinzierl offers his advice using the classic game theory model the “stag hunt.”
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.
The search for extraterrestrial life is bound to lead one place — underwater. To prepare for this reality, scientists from Harvard and the Woods Hole Oceanographic Institution are narrowing in on autonomous ocean-floor vehicles equipped with cutting edge cameras and sophisticated sensors that can wirelessly alert researchers hundreds of miles away when something of note happens. Pretty cool stuff? We’d say so.
David Latham of the Harvard-Smithsonian Center for Astrophysics is tasked with an incredible mission — overseeing the selection and study of planets that are viable candidates for life as captured by TESS (the Transiting Exoplanet Survey Satellite). In this interview with the Harvard Gazette, Latham discusses everything from TESS’s ground-breaking camera technology to the conditions required to foster life as we do (or don’t) know it.
