March 21, 2016 SIG Governing Board Meeting Agenda

SIG Governing Board
Friday, March 21, 2016
International West and Center Ballroom
8:30 am – 4:00 pm

8:30 am – 9:00 am Continental Breakfast
9:00 am – 9:05 am 1.0 Welcome, Introductions (Matthews)
9:05 am – 9:30 am
2.0 Welcome, ACM President (Hanson)
2.1 Turing Celebration Young Academy
9:30 am – 10:00 am
3.0 Report from ACM CEO (Schnabel)
3.1 State of ACM
3.2 Global Strategy Plan
0:00 am – 10:30 am 4.0 Round Table Leaders to provide input on their Global Programs (SGB Chairs)
10:30 am – 10:45 am 5.0 Update on actions from last SGB meeting (Cappo)
10:45 am – 11:00 am Break
11:00 am – 12:00 pm 6.0 Discussion Groups with reporting and open discussion in last 20 minutes Emerging Areas within your SIG – what are they, what are you doing, what would you like to be doing?
12:00 pm – 12:30 pm 7.0 SIG Contributions to CACM Research Highlights (Morrisett)
12:30 pm – 1:30 pm 8.0 Publications (Davidson)
1:30 pm – 2:30 pm Lunch
2:30 pm – 3:00 pm
9.0 SGB EC Report
9.1 Report from EIG Task Force (McCauly)
9.2 Replication Task Force (Harper)
3:00 pm – 4:00 pm 10.0 Discussion Groups with reporting and open discussion in last 20 minutes Collaboration Project – groups will be asked to discuss and present a potential program or conference to collaborate on

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.

Prediction-Serving Systems

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. 

ACM Case Studies

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.