Outstanding Chapter Website Submissions

Thank you to our panel of judges for agreeing to help us out!

We hope that this set up will allow for a smooth and efficient judging process. Following each list of submissions is the rubric for judging that specific category. If you have any questions or concerns throughout this process, please do not hesitate to contact Sunita Jaswal, local_activities@hq.acm.org.

Listed below is a brief description of what we expect, followed by each chapters' submission.

Oustanding Chapter Website - 14 Chapter Submissions

Chapters should apply to the Outstanding Chapter Website category if they have maintained an outstanding chapter website. They should tell us about the design and content as well as any noteworthy features. They should explain how it was created and how it is kept up to date. A URL must be provided!

ABES ACM Student Chapter

Amity ACM Student Chapter

Bharati Vidyapeeth's College of Engineering ACM Student Chapter

BITS Pilani-Rajasthan ACM Student Chapter

Helwan University ACM Student Chapter

JUIT ACM Student Chapter

Pontificia Universidad Javeriana ACM Student Chapter

PUCIT ACM Student Chapter

Santa Clara University ACM Student Chapter

Temple University Chapter

University of Florida ACM-W Student Chapter

University of Lahore ACM Student Chapter

University of Virginia ACM-W Student Chapter

UPES ACM Student Chapter

Outstanding Chapter Website Scoring Rubric

 

Lifelong Learning

ACM offers lifelong learning resources including online books from Safari, online courses from Skillsoft, webinars on the hottest topics in computing and IT, and more.

techpacks

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.