As 2017 begins, another year of successful SAMSI workshops has closed. Since the beginning of the 2016 academic year, in late August, SAMSI has hosted at least seven workshops that supported the goals of both the Program on Optimization (OPT) and Program on Statistical, Mathematical and Computational Methods for Astronomy (ASTRO).
Since the 2016 academic year began, the OPT Program offered a two-part course in Numerical Optimization and Applications. These courses, given in fall and spring semesters, teach students how to use various statistical and applied mathematical techniques to solve complex optimization problems. In addition to these courses, OPT has hosted four workshops, most recently, the Workshop on the Interface of Statistics Optimization (WISO).
WISO took place on the campus of Duke University, one of many SAMSI partners. The workshop lasted for three days and featured twelve lectures from some of the most esteemed minds in field of optimization. The scholars spoke to an audience of more than 100 participants from all over the world. An exciting element of LIVE STREAMING was added to this workshop which gave the event the capability to reach a wider audience. For those who were not part of the LIVE audience, SAMSI archived all the lectures on the WISO video webpage for future viewing.
The ASTRO program has helped to bridge the gap between astrostatisticians and astronomers so that, collectively, they can work together to potentially discover the unknown in our universe.
Since the academic year began, ASTRO has also hosted four workshops and two research related courses. The fall course, Analytical Methods and Applications to Astrophysics and Astronomy, was led by James Long of Texas A&M. Long and other visiting academic fellows at SAMSI worked together to provide instruction on the current methods used to capture astronomical data and how this data is being analyzed and interpolated. The spring course, Time Series Methods of Astronomy, is being led by Eric Feigelson of Penn State University and a team of others. The course focus is how big data sets are being used to accurately categorize and identify astronomical bodies such as “exoplanets” and distant stars in the universe.
SAMSI is also committed to bringing this same level of excellence to the 2017-2018 programs, Mathematical and Statistical Methods for Climate and Earth Systems (CLIM) and Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applied Mathematics (QMC).
CLIM will bring together esteemed academic scholars in the various fields of the study of climate to explore current climate models, while also discussing how modern environmental issues will impact earth systems and the human population in the future. CLIM begins in August 2017 and runs through May 2018.
Finally the QMC program will tackle complex mathematical techniques that are used in advanced technology such as machine learning, computer graphics and PDE solving systems. The program analyzes further how complex mathematical sampling algorithms are used in these systems.
As 2017 begins, SAMSI takes pride in what was accomplished last year and looks forward to bringing their participants new and challenging programs emphasizing ways in which applied mathematics and statistics impact our world. Going forward, SAMSI will continue to offer the best programs to the best professionals in the field. For attendees and colleagues, that is what the SAMSI experience is all about.