Frontiers in Computing and Data Science Conference October 3-4
The Frontiers in Data Science and Computing workshop brings together visionaries, scientists, practitioners and other stakeholders in computational science (broadly defined to include algorithmic aspects of data science and scientific computing). The model for the Frontiers workshop series is a successful format commonly seen in Silicon Valley, which combines motivation “big picture” talks with activities designed to foster ideas, create community, and allow significant interactions between application/domain scientists and algorithm designers.
Based on the successful outcomes of the pilot Frontiers workshop in 2015, it is anticipated that this annual series will result in fruitful scientific exchanges and new interdisciplinary collaborations from academia (across disciplines), industry and governmental agencies. For 2016, Frontiers will focus on data-infused computing; a new area that merges data science with scientific computing. Frontiers in Data Science and Computing 2016 will be one of the first venues to explore this topic and its high-impact potential in areas as diverse as medicine, astronomy, physics, computer architecture, smart grids, and climate change.
The Department of Computational Mathematics, Science and Engineering (CMSE) formed in 2015 is unique among computational academic units nationally; it is the first to comprehensively treat computation as the “triple junction” of algorithm development and analysis, high performance computing, and applications to scientific and engineering modeling and data science. This approach recognizes computation as a new discipline rather than being decentralized into isolated sub-disciplines. CMSE, jointly administered by the College of Natural Science and the College of Engineering, will enable application-driven computational modeling (“pull”), while also exposing disciplinary computational scientists to advanced tools and techniques (“push”), which will ignite new transformational connections in research and education.
Computation is a priority under the Global Impact Initiative with significant resources dedicated to program support and the recruitment of top faculty-researchers. Learn more about open faculty positions.