ACM Emerging Interest Groups
An ACM Emerging Interest Group (EIG) can be viewed as a starting point for creating an ACM Special Interest Group (SIG), a conference, or other new technical activity for ACM.
Starting an EIG doesn’t require the same level of administration that SIGs do. EIGs are meant to have a lightweight structure to allow new groups to form quickly and easily.
For more information for starting an ACM EIG, contact the Director of SIG Services at [email protected]
EIG on Reproducibility and Replicability
The Emerging Interest Group on Reproducibility and Replicability (REP) provides a distinct community of researchers focused on the reproducibility, sustainability, independent verification, model testing, benchmark data, guidelines and standard; while simultaneously promoting best practice across the ACM by working with interested parties to include their requirements into the tools, technologies, methodologies and techniques developed as best practice within the EIG. The EIG is not only an extension of the work already underway via the ACM SIG Governing Board and the ACM Publications Board, but supports developers of future tools, technologies, methodologies and techniques; outreaches into communities which may not feel/be included; disseminates best practice and training resources interested parties; and, supports and advises in the practical implementation of our work at conferences, journals, and other venues. Further, by gathering and disseminating the collective knowledge obtained by the different SIGs in their reproducibility efforts we can capitalize on the work already invested in ACM’s Reproducibility and Replicability community and ensure the legacy of the effort, within the ACM and externally to other organizations.
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EIG on Trustworthy and Responsible Systems
The mission of the ACM Emerging Interest Group on Trustworthy and Responsible Systems (EIGTRUST) is to advance the design, verification, development, and use of trustworthy systems. Systems of interest include AI systems and systems for computation or storage of data, which range from small, stand-alone devices through smart phones, general-purpose computers, and networked systems, as well as browsers, application-based platforms, cloud and edge computing systems, virtualized systems, and databases large or small. Core characteristics of a trustworthy system include security & privacy, reliability & availability, resilience & robustness, safety, transparency, accountability, responsibility, explainability, generalizability, robustness, and fairness. We will be organizing high quality research conferences, workshops and journals.
EIG on Digital Transformation
Digital transformation: a great science in the making
Industry sectors (e.g., agriculture, water/power grids, manufacturing, transportation, supply chain) are embracing “digital transformation” (DX). They’re using computing tools to collect real-time data, automate complex decisions, and modernize operations. Unfortunately, today, DX is little more than a collection of loose practices and ad hoc software tools. It’s largely driven by industrial sectors with quite limited engagement from the computing community. Each sector devises its own tooling to transform their operations piecemeal, producing point solutions for each setting, and even well-studied principles in computing have not caught up to DX stacks. This is a grand challenge, and tackling this challenge will pay large dividends for both computing and infrastructures. At its core, digital transformation is a computing problem, and DX presents a lifetime opportunity for computer scientists as a new discipline in the making. DX is the art and science of devising and applying computing techniques, tools, theories, and principles for industrial systems. This requires computing and industrial researchers to deeply engage to jointly establish this nascent area.
To this end, ACM is starting an Emerging Interest Group in Digital Transformation (EIGDX), the precursor to a new SIG (Special Interest Group). The mission of this new community will be two-fold: to identify and translate the latest computing techniques to impact societal infrastructures, and to enrich and extend computing techniques to address real-world issues in infrastructure sectors which are a golden source of research problems.
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