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Institute for Digital Research and Education

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Institute for Digital Research and Education
NameInstitute for Digital Research and Education
Formation2000s
TypeResearch institute
LocationChicago, Berkeley, Boston
Parent organizationUniversity of California, Los Angeles

Institute for Digital Research and Education. The Institute for Digital Research and Education is a university-affiliated research and service unit that supports scholarly computing, statistical consulting, and data science pedagogy at a major research university. It provides methods consulting, software development, and training across a range of disciplines and professional schools, linking to initiatives in biostatistics, epidemiology, public health, informatics, and clinical research through partnerships with academic medical centers, research hospitals, and laboratories.

Overview

The institute offers centralized expertise in applied statistics, data visualization, high-performance computing, and reproducible research for investigators in departments such as medicine, psychology, sociology, economics, and engineering. Services include consulting on study design for investigators funded by organizations like the National Institutes of Health, the National Science Foundation, and foundations such as the Gates Foundation and the Robert Wood Johnson Foundation. Staff collaborate with units including library science groups, research administration offices, and technology centers affiliated with institutions like Harvard University, Stanford University, Massachusetts Institute of Technology, and University of Oxford.

History and Development

Founded in the early 21st century amid growing demand for computational support, the institute grew alongside movements such as open science, big data, and precision medicine. Early influences included federal initiatives like the Human Genome Project and academic programs at Johns Hopkins University, Yale University, and Columbia University. The institute’s development parallels milestones in software history including releases of R (programming language), Python (programming language), SAS, SPSS, and the emergence of platforms like GitHub and Jupyter Notebook. Leadership drew on experience from centers such as the School of Public Health at UCLA, the Mayo Clinic, and the Centers for Disease Control and Prevention.

Research and Programs

Research spans methodological work in survival analysis, bayesian statistics, machine learning, and natural language processing applied to domains including oncology, cardiology, neuroscience, and genomics. Programs include reproducibility initiatives similar to those advanced by Center for Open Science and collaborative projects with consortia such as the Global Alliance for Genomics and Health and networks like All of Us Research Program. Grant-funded research has been supported by agencies including the National Cancer Institute, the Agency for Healthcare Research and Quality, and the U.S. Department of Veterans Affairs. The institute has contributed methods to consortia like the International HapMap Project and to computational frameworks used in projects at Lawrence Berkeley National Laboratory and Sandia National Laboratories.

Educational Services and Training

Training covers workshops and courses in tools such as RStudio, TensorFlow, PyTorch, Tableau, and Microsoft Excel tailored to learners from programs like MBA cohorts, medical school trainees, nursing programs, and public health students. The institute delivers curricula aligned with competency frameworks used by Association of Schools and Programs of Public Health and partners with continuing education providers like Coursera and campus units modeled after the Office of Undergraduate Education and Graduate Division. Faculty and staff have lectured at conferences including NeurIPS, AAAS Annual Meeting, American Statistical Association meetings, and workshops hosted by Society for Epidemiologic Research.

Infrastructure and Tools

Technical infrastructure includes compute clusters, data repositories, and container platforms leveraging technologies from Docker, Kubernetes, and cloud providers such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure. The institute supports workflow tools like Make (software), Snakemake, and environments using Conda (package manager), and fosters use of standards from bodies such as Health Level Seven International and the World Health Organization. Data management practices align with policies from the National Institutes of Health and the European Research Council, and integrate identity and access systems similar to Shibboleth and InCommon.

Collaborations and Partnerships

The institute collaborates with academic centers including UCLA Health, UCLA Anderson School of Management, UCLA School of Medicine, and external partners such as Kaiser Permanente, IBM Watson Health, Google Health, and Microsoft Research. It has partnered on projects with non-profits like Mozilla Foundation, OpenAI, and The Alan Turing Institute, and with government agencies including the Food and Drug Administration and the National Institute of Standards and Technology. Cross-institutional collaborations involve university networks like the Association of American Universities and consortia including the CTSA Program hubs.

Impact and Recognition

Contributions include widely used teaching materials, open-source codebases, and peer-reviewed publications appearing in journals such as Nature, Science, The Lancet, Journal of the American Medical Association, and Bioinformatics. The institute’s staff have been invited speakers at forums hosted by TED, recipients of awards from organizations like the American Statistical Association and the Association for Computing Machinery, and contributors to standards adopted by International Organization for Standardization. Its influence is noted in policy documents from entities such as the National Academies of Sciences, Engineering, and Medicine and in best-practice guides used by research offices at universities including Princeton University, University of Michigan, and University of Washington.

Category:Research institutes