The following was adapted from this Santa Fe blog post.  At a recent presentation at the Science Writers 2020 conference, Joshua Garland and Mirta Galesic of the Santa Fe Institute presented the first large-scale analysis of tens of millions of instances of hate and counter-hate speech on Twitter. Their findings suggest that organized movements to counteract hate speech on social media are more effective than striking out on one’s own. “I’ve seen this big shift in civil discourse in the last two or three years towards being much more hateful and much more polarized,” says Garland, a mathematician and Applied Complexity Fellow at SFI. “So, for me, an interesting question […]

As part of the rollout of the 2020 Computing Research Associations (CRA) Quadrennial Papers, the Computing Community Consortium (CCC) is pleased to publish the third group of papers around the “Socio-Technical Computing” theme. The Quadrennial Papers are intended to help inform the computing research community and those who craft science policy about opportunities in computing research to help address national priorities. As part of CCC’s contribution, in addition to the previous themes of Broad Computer Science and Core Computer Science from previous weeks, one more set of Quadrennial Papers will be released next week organized around the theme of Artificial Intelligence. The intersection of computing technologies and society is the […]

Recently, the Computing Research Association’s Computing Community Consortium (CCC) released a white paper called Pandemic Informatics: Preparation, Robustness, and Resilience, by Elizabeth Bradley (University of Colorado Boulder), Madhav Marathe (University of Virginia), Melanie Moses (The University of New Mexico), William D Gropp (University of Illinois Urbana-Champaign), and Daniel Lopresti (Lehigh University). It is part of the series of white papers called Quadrennial Papers that explore areas and issues around computing research with potential to address national priorities.  The Pandemic Informatics paper outlines an effective strategy to reduce the national and global burden of pandemics. It includes (i) detect timing and location of occurrence, taking into account the many interdependent driving […]