Metrics2024

Metrics for objectively assessing the progress, success, and impact of research, education, and CyberInfrastructure (CI) programs and projects are important for not only obtaining the required resources for their management, long-term sustainability, and community engagement but also for identifying issues and prioritizing the areas of improvement. 

The main goal of the Metrics2024 conference is to bring together colleagues from a diverse range of disciplines and organizations to network, collaborate, and work towards developing and sharing "responsible metrics" for short-term and long-term evaluation of programs and projects in the scope of the conference. Towards this end, extended abstracts for presentations, proposals for panels/BoFs/exhibits, and full-papers for publication in a special issue of Springer Nature Computer Science journal are invited. 

Metrics for evaluating the programs and projects related to the following areas are in the scope of this conference:

• CyberInfrastructure (CI)

  • Hardware, Software, and Data infrastructure

    • Design, development and deployment of infrastructure (for High Performance Computing, Data-Intensive Computing, Cloud Computing, Quantum Computing, Data Storage and Archival, IoT, Edge Computing, AI, and Cybersecurity)

    • Network infrastructure

    • AI for CI

  • Data Centers 

    • Designing, building, operating, and managing data centers

    • Infrastructure-as-a-service

    • Sustainability (e.g., power efficiency, responsible decommissioning, reducing and tracking carbon emission, and green technologies) 

  • Processes and Governance Frameworks

    • Data privacy, cybersecurity, and risk management

    • Data governance

    • Operations and maintenance (including, processes and practices such as, DevSecOps and ITIL)

  • People

    • Customer Service/Support 

    • Building virtual organizations and collaborations

• Education, Training, and Outreach programs

  • Curriculum development and instructional design

  • Teaching and learning tools, technologies, techniques, and platforms

  • Instructor and student training 

  • Mentoring, practical training, and research experience programs for student engagement

  • Public engagement

  • Professional development programs

  • AI initiatives in higher education

  • Broadening participation

  • Career growth/progress

  • Leadership development

  • Organizational behavior

  • Team Science and Science of Team Science

• Research and Research Administration programs

  • Benchmarking research competitiveness

  • Research enterprise tools, activities, inputs, outputs, and processes

  • Economic development - Innovation and technology commercialization

  • Responsible use of AI in research

  • Customer service 

The conference agenda will include talks, panel/s, BoF sessions, and demonstrations/exhibits. 

For any questions, please feel free to email Amit Majumdar (majumdar@sdsc.edu) and Ritu Arora (ritu@venratech.com).

Let us know if you'll be attending!