Code 8.7 is a two-day conference that brings the computational research and artificial intelligence (AI) communities together with those working to achieve Target 8.7 of the Sustainable Development Goals. With Target 8.7, 193 countries agreed to take immediate and effective measures to end forced labour, modern slavery and human trafficking by 2030, and the worst forms of child labour by 2025. Computational science, AI and machine learning can accelerate our understanding of these problems and help us determine “effective measures” to address them. The featured image was made by Ira Gelb.
Information and Communications Technology (ICT) has taken a central role in modern society. Unfortunately, malicious hackers and cybercrime have become a stubborn and expensive part of the ICT landscape. This has made providing cybersecurity a defining challenge for our era. Many strategic plans and National Academies of Sciences (NAS) studies have been written, and billions of dollars have been spent on the development and deployment of innovative cybersecurity solutions, but our network infrastructure, devices and organizations are increasingly insecure against threats.
On March 14-15, 2017 MForesight: The Alliance for Manufacturing Foresight, in collaboration with the Computing Community Consortium (CCC), convened a workshop to address cyber-physical security challenges faced by U.S. manufacturers of all sizes.