Are you a Ph.D. candidate or postdoctoral researcher in the field of artificial intelligence and medicine looking for a new opportunity? Are you interested in connecting with leading research groups and research institutions from Germany? The DAAD AInet Fellowship is awarded twice a year to a group of outstanding international early career researchers in the field of artificial intelligence. Awardees will be invited to join the Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI), a hybrid networking program that brings them face-to-face with leading researchers with the goal to initiate collaborations and career opportunities. The virtual tour will take place from September 13 to 17th, 2021. It will provide an overview of the German science […]

The following National Science Foundation (NSF) Disrupting Operations of Illicit Supply Networks (D-ISN) program has an upcoming deadline of July 28, 2021, and might be of interest to those in our computer science research community. This solicitation supports fundamental research to enable transformative change in our ability to detect, disrupt and disable illicit supply networks that traffic in persons, and tangible and virtual goods. These transformations will require well-coordinated, multi-disciplinary approaches that complement long-standing law-enforcement, victim-centric, and trafficking domain-focused research efforts with fundamental, innovative, and high-risk research that draws from multiple domains of engineering, computer and information science, and the social, behavioral, and economic sciences. Major goals of NSF’s D-ISN Solicitation […]

Roughly every ten years the Theoretical Computer Science (TCS) community comes together for a visioning workshop to discuss recent accomplishments and new challenges in the field of TCS. The workshop acts as an opportunity for reflection within the community and a way of informing interested investors. The newly released Visions in Theoretical Computer Science Workshop Report, written by Shuchi Chawla (University of Wisconsin-Madison), Jelani Nelson (University of California, Berkeley), Chris Umans (California Institute of Technology), and David Woodruff (Carnegie Mellon University) and supported by the Computing Community Consortium, summarizes the key takeaways from the 2020 TCS Visioning Workshop. Organized by the SIGACT Committee for the Advancement of Theoretical Computer Science, […]

The following is a message from the new CRA-I Industry Committee.  The CRA-Industry Committee is hosting a series of virtual roundtable meetings focused on issues of interest to our computing research industry partners. The first roundtable, “Corporate Responsibility and Computing Research” will be held on July 14, 2021 from 4:00-5:30 PM ET. In order to attend this event, please register here. Please forward this to your appropriate colleagues and encourage them to attend! CRA-Industry Virtual Roundtable on Corporate Responsibility and Computing Research July 14, 2021 4:00 PM – 5:30 PM Eastern Time Today, more companies are deliberately extending their social responsibility initiatives at the behest of investors, customers, and employees. How should industry […]

The Computing Community Consortium (CCC), along with Code 8.7, is pleased to announce the release of the CCC / Code 8.7 Applying AI in the Fight Against Modern Slavery Workshop Report. This March 2020 workshop brought together over 50 members of the computing research community along with anti-slavery practitioners and survivors to lay out a research roadmap aimed at applying AI to the fight against human trafficking.  The primary goal was to explore ways in which long-range research in artificial intelligence (AI) could be applied to the fight against human trafficking. Building on the kickoff Code 8.7 conference held at the headquarters of the United Nations in February 2019, the […]

The following Great Innovative Idea is from Somali Chaterji, Assistant Professor in the Department of Agricultural and Biological Engineering at Purdue University where she leads the Innovatory for Cells and Neural Machines. The Idea The idea behind my work is that there is strength in numbers — a distributed computing system that needs to run a computationally heavy application on scarce resources can do so by pooling together many weak to moderate devices in a federated setting and with security guarantees. The secret sauce in my work is to do the right level of approximation at the right point in space (which device) and at the right point in time […]