Computer science and brain science share deep intellectual roots. Today, understanding the structure and function of the human brain is one of the greatest scientific challenges of our generation. Decades of study and continued progress in our knowledge of neural function and brain architecture have led to important advances in brain science, but a comprehensive understanding of the brain still lies well beyond the horizon. How might computer science and brain science benefit from one another? The CCC BRAIN two-day workshop, sponsored by the Computing Community Consortium (CCC) and National Science Foundation (NSF), brings together brain researchers and computer scientists for a scientific dialogue aimed at exposing new opportunities for joint […]

Mahsa Mirzargar, Ph.D. and Lace Padilla from the University of Utah contributed to this post. The Computing Community Consortium’s (CCC) Uncertainty in Computation Visioning Workshop was held in Washington DC in mid October, led by Bill Thompson and Ross Whitaker from the University of Utah. The workshop brought together over 40 scientists from different disciplines including simulation and data science, engineering, statistics, applied mathematics, visualization, decision science and psychology. The overarching goal of the workshop was to open a discussion between experts with diverse scientific backgrounds about the topic of uncertainty/risk and its communication. The attendees worked to articulate grand research challenges in understanding and communicating uncertainty inherent in computational processes […]

On September 10-11, the CCC co-hosted a visioning workshop focused on technologies that will allow older adults and people with disabilities to “age in place,” remain in their homes longer, reduce health care costs and enhance quality of life. CCC partnered with the National Institutes of Health (NIH) to organize the “Trans-NIH/Interagency Workshop on the Use and Development of Assistive Technology for the Aging Population and People with Chronic Disabilities.” Held on the NIH campus in Bethesda, MD, the engaging workshop brought together a diverse set of experts – computer science researchers, medical practitioners, and government officials from numerous agencies (NIH, NSF, NIDRR, HUD, VA, FDA, CMS), to chart a course […]

The following is a special contribution to this blog by Jane Stout, Director of CRA’s Center for Evaluating the Research Pipeline (CERP).   The CRA’s Center for Evaluating the Research Pipeline (CERP) has published a report on the topic of Industry versus Academic Postdocs in computing. The report uses both survey and focus group data to assess the experiences of individuals who have completed a computing related postdoc in either an industry or academic setting. Findings suggest that Industry Postdocs feel better able to manage professional responsibilities, have better relationships with their advisor and feel more welcomed in the work environment compared to Academic Postdocs. Through comparing and contrasting postdocs’ experiences in the two settings, CERP’s report sheds […]

The following is a contribution to this blog from Robin Murphy, Raytheon Professor of Computer Science and Engineering and director of the Center for Robot-Assisted Search and Rescue at Texas A&M University. Back in April, Robin co-organized a visioning workshop about the role of computing in disaster management (including preparedness, prevention, response, and recovery). In this blog entry, Robin describes her participation at a workshop held last week in DC on Connecting Grassroots to Government for Disaster Management.  I participated in the Wilson Center’s workshop on Connecting Grassroots to Government for Disaster Management last week where I briefed 60 physical and 150 remote participants on the NSF/CCC Workshop on Computing for Disaster Management and the subsequent […]

This past February in Arlington, VA, Yolanda Gil (University of Southern California Information Sciences Institute) and Haym Hirsh (Rutgers University) co-organized a workshop on discovery informatics, assembling over 50 participants from academia, industry, and government “to investigate the opportunities that scientific discoveries present to information sciences and intelligent systems as a new area of research called discovery informatics.” A report summarizing the key themes that emerged during discussions at that workshop is now available. From the executive summary: …[The] workshop’s participants identified an expansive range of fundamental research challenges for information and intelligent systems brought into focus by these three themes:   To improve computational discovery processes: We must understand […]