Analytics and Risk will enable the growth and understanding of best practices. There are many perspectives that we will consider here. Risk analytics in business intelligence represents data-oriented techniques to supplement business systems for better risk-based decision making. Risk performance analysis in manufacturing intelligence uses advanced data analytics, modeling, and simulation to produce a fundamental transformation to new product-based economics through internet-based service enterprises and demand-driven supply chains. Risk evaluation plays key roles in emerging areas such as biomanufacturing, nanotechnology, and energy. We see a dramatic increase in the use of predictive analytics in these and many other areas. This technical committee will bring together scientists and engineers who have different backgrounds and disciplines, and provide a set of opportunities to discuss these open issues. COVID-19 Updates May 2020: Summary of the pandemic situation in Thailand, Brazil, Belarus and Iran from the last 2 weeks News 2020 IEEE Symposium on Analytics and Risk Report 2019 International Conference on Cybernetics Report Call for Participants for the 2018 IEEE ARTC Spring School Program TC Chair Elected as Member of the European Academy of Sciences and Arts Hard-Learned Lessons: Systems Engineering Issues and Their Program Impact, Presentation by Robert P. Lyons, Jr., in Charlottesville, Virginia ARTC Recent Activities Meeting Minutes Meeting Minutes 5 June 2020 Meeting Minutes 14-August-2015 Panel Discussion; “Risk Engineering and Management” 11-December-2014 Meeting Minutes 7-October-2014 Meeting Minutes 7-August-2014 Upcoming Symposium 2020 IEEE Symposium on Analytics and Risk Committee Chair Desheng Dash Wu Email
