HOW TO START A SPECIAL INTEREST GROUP (SIG)
Process for Starting a SIG
Prior to submitting a formal proposal to the SIG Governing Board Executive Committee (SGB EC) it is mandatory that proposers provide some preliminary information on the potential SIG.
After SGB EC reviews the information, it will determine what the next steps are for the development process.
In some cases, a formal proposal will be requested and in others, proposers may be asked to work within an existing SIG for a period of time to determine the level of interest for the new specialty.
Preliminary Information Instructions
To get started, the following preliminary information / outline of the anticipated activities envisioned for the group should be sent to Donna Cappo.
The SGB EC will find it most helpful if your outline includes:
- Primary focus of this special interest group with as much detail as possible
- Primary audience/primary need to be served
- Initial activity to be undertaken by the group (publication, conferences, workshop, etc.)
- Overlap issues with other ACM SIGS
- Listing of the core group of volunteer leaders that would lead the SIG
Please feel free to contact Donna Cappo if you have any questions.
Why I Belong to ACM
Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.
Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.
ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.