WEB TOOLS FOR ACM CHAPTERS

Chapter Website Hosting

Chapter officers are now able to set up their chapter web site on the ACM servers and publicize it through the URL http://your_chapter_name.acm.org. To take advantage of this service, Chapter officers should complete this form.

The chapter server account will allow officers to load files through SFTP (Secure FTP over SSH) to set up and maintain their chapter web pages. Technologies available to Chapters include PHP, MySQL, Tomcat, and Perl. ACM will consider loading any open source software that chapters may need to develop and maintain their web pages. Chapter officers should submit their requests to the  ACM IS Department.

WIKI and Blogs

ACM offers two Wiki engines: 

  • MediaWiki, the software of Wikipedia
  • MoinMoin, an advanced, easy to use, extensible WikiEngine

Chapter officers will be able to start a wiki for their Chapter to carry out activities that require collaborative writing, document sharing, and website management.

ACM also offers the  Movabletype publishing platform for Chapter officers and members to use in setting up blogs relevant to their Chapter activities and interests.

To request WIKI/Blog for your chapter, please  complete this form.

Volunteer with SocialCoder

You can use your technical skills for social good and offer volunteer support on software development projects to organizations who could not otherwise afford it. SocialCoder connects volunteer programmers/software developers with registered charities and helps match them to suitable projects based on their skills, experience, and the causes they care about. Learn more about ACM’s new partnership with SocialCoder, and how you can get involved.

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. 

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