Translational Computer Science (TCS) refers to research that bridges foundational, use-inspired, and applied research with the delivery and deployment of its outcomes to a target community. It supports essential bi-direction interplays where delivery and deployment processes inform the research. TCS builds on the well-known paradigm of Translational Medicine (TM) and maps the accepted three pillars of TM, namely the Bench, the Bedside and the Community into analogues that are relevant for computing, namely Laboratory, Locale and Community.

The term was coined by Abramson and Parashar in 2019.

Papers

• A paper in IEEE Computer proposing Translational Computer Science (TCS) as a complementary mode of computer science research that can accelerate its impact across science and society.
• Special issue of the Journal of Computational Science which presented a number of case studies that illustrate TCS and expose the underlying processes and challenges.
  • Translation computer science – Overview of the special issue
  • The Pegasus workflow management system: Translational computer science in practice
  • The virtual assay software for human in silico drug trials to augment drug cardiac testing
  • Translational research in the MPICH project
  • The MVAPICH project: Transforming research into high-performance MPI library for HPC community
  • Translating the grid: How a translational approach shaped the development of grid computing
  • Building cyberinfrastructure for translational impact: The WIFIRE example
  • Computational analysis of cardiac structure and function in congenital heart disease: Translating discoveries to clinical strategies
  • Translating novel HPC techniques into efficient geoscience solutions
  • Principles, technologies, and time: The translational journey of the HTCondor-CE
  • Translational process: Mathematical software perspective
  • Translational computer science at the scientific computing and imaging institute
• A department in IEEE Computers in Science and Engineering containing case studies that document the approach
  • Translational Computer Science for Science and Engineering
  • Hands-On Computer Science: The Array of Things Experimental Urban Instrument
  • PyCOMPSs as an Instrument for Translational Computer Science
  • Accidental Translationists: A Perspective From the Trenches
  • Translating High-Performance Computing Tools From Research to Practice: Experiences With the TAU Performance System
  • FluoRender Script: A Case Study of Lingua Franca in Translational Computer Science
  • Examples of Long-Term Science–Industry Partnerships for Translational Computer Science
  • Reflecting on the Scalable Adaptive Graphics Environment Team’s 20-Year Translational Research Endeavor in Digital Collaboration Tools
  • Mochi: A Case Study in Translational ComputerScience for High-Performance Computing Data Management
  • Translational Edge and Cloud Computing to Advance Lake Water Quality Forecasting

Public presentations and keynote addresses

Some seminar downloads are available at Downloads.