A Practical Guide to the Responsibilities of ACM Chapters

ACM fosters growth in the computing community through its support of  more than 950 professional, student and local Special Interest Group chapters worldwide. These chapters establish a local presence for ACM in international cities large and small and seek to disseminate knowledge and advance the field of computing by sponsoring state-of-the-art seminars on pressing issues in information technology, conducting volunteer training workshops, hosting lectures by highly regarded computer professionals, and more.

Through its sponsorship of chapters, ACM facilitates the exchange of ideas among members from all backgrounds and from all facets of computing, from academia to research to business and industry. The list below lays out items that comprise the nuts and bolts of the responsibilities chapters face in many areas, including finance, membership, and conferences. Please click on any item to learn more.

Chapter Responsibilities

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.

Publish with ACM

ACM's prestigious conferences and journals are seeking top-quality papers in all areas of computing and IT. It is now easier than ever to find the most appropriate venue for your research and publish with ACM.

Publish your work

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.