SIGDA - Design Automation
SIGDA Outstanding Ph.D. Dissertation Award in Electronic Design Automation
Endowed by SIGDA, this Award is given annually to the author of an outstanding Ph.D. dissertation that makes the most substantial contribution to the theory and/or application in the field of electronic design automation.
SIGDA IEEE/ACM William J. McCalla ICCAD Best Paper Award
Presented at ICCAD each November, this Award is jointly sponsored by ACM/SIGDA, IEEE/CASS, and IEEE/CS. Papers are selected by the ICCAD Program Committee through a rigorous and multi-stage review process. This Award is given in the memory of William J. McCalla, for his contributions to ICCAD and his CAD technical work throughout his career.
SIGDA Outstanding New Faculty Award
The SIGDA Outstanding New Faculty Award recognizes a junior faculty member early in her or his academic career who demonstrates outstanding potential as an educator and/or researcher in the field of electronic design automation. The award is presented annually at the Design Automation Conference, and currently consists of a $1,000 award to the faculty member, along with a citation.
ACM/IEEE A. Richard Newton Technical Impact Award in Electronic Design Automation
Presented annually at the ACM/IEEE Design Automation Conference to an individual or a group which has made an outstanding technical contribution in the scope of electronic design automation through a paper published at least ten years before the award is presented. The award includes a plaque and $1,500 honorarium.
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SIGKDD Impact Program Awards
ACM SIGKDD announced seven recipients for its inaugural KDD Impact Program, which aims to fund projects that have the potential for maximum impact on society. The proposals covered training data scientists; a hackathon; use of algorithms by government; women data science leaders; a summer school for high school students; data science for social good; and promoting community understanding of Big Data.
Apply for SIGHPC/Intel Computational & Data Science Fellowships
ACM SIGHPC and Intel are encouraging graduate students in data science and computational science to apply for an international program of graduate fellowships that aims to increase diversity in these fields. To qualify, you must be pursuing a graduate degree in computational or data science, be less than halfway through your planned program of study, and be woman and/or a member of a racial/ethnic group that is currently underrepresented in the computing field in the country where you will earn the degree. The deadline for applications is April 30.