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Digitalisation and the future of research environments

A presentation by Professor Balbir Barn from our 'Shaping future research environments: digital challenges and opportunities' event on 15 December 2020.

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Digitalisation and the future of research environments

  1. 1. Digitalisation and the future of research environments Prof. Balbir Barn Deputy Dean – Research and Knowledge Exchange Faculty of Science and Technology Middlesex University #JiscDigiRes @profbalbirbarn email:b.barn@mdx.ac.uk 15 December 2020
  2. 2. Higher Education is embracing digitalisation • HEIs as Digital Enterprises • October 2020 – JISC publishes Digital at the core: — Digitisation: Changing from analogue to digital. — Digitalisation: technologies for automation and streamlining. — Transformation: change in culture, workforce and educational and operational models. — Move from descriptive analytics to prescriptive analytics (hindsight to foresight)
  3. 3. The complexity of higher education • The digitalization journey can be different for different parts of the organization. — Maturity levels for domains and sub- domains (Substitution, Extension, Breakthrough) • Any Future Research Environment will — Have impact across quadrants — require an enterprise-wide information model to understand at least the static permeations
  4. 4. Research Infrastructure Theme • Improving the wider research infrastructure. The research ecosystem needs to work together: — ePersistent Identifiers (PIDs) and metadata to link to resources from research outputs and make these discoverable. — repository infrastructure and how it can be better embedded in the UK digital research framework, to better expose open content. • Tools and methods for future researchers. How can researchers know about the possibilities of technology and be equipped to use it effectively? — modelling, simulation, AI, machine learning, — digital twins, tool chains, — tools for practice and for open collaboration and dissemination, research 4.0, text mining, remote working and collaboration. SoftwareTools Methods CRIS Technology AI/ML/Digital Twin Meta data Resources Repositories
  5. 5. Future of Research Environments need a research infrastructure that accounts for: Administration, Management, Support • Data and Key Performance Indicators • Research Information Systems • Postgraduate research – development, training. The Research Process • Research tools and environments • Integration of new Methods to use new techniques from AI/ML The community being served • Making research more accessible • Platforms for citizen science research • Changing practices to reflect greater inclusion and diversity in research producers and consumers Anika Chebrolu, a 14-year-old from Frisco, Texas, has just won the 2020 3M Young Scientist Challenge -- and a $25,000 prize -- for a discovery that could provide a potential therapy to Covid-19 using in-silico methodology.
  6. 6. Research Environments and their infrastructure: Digital Twin. Digital Twin Concept Administration, Management, Support • Data and Key Performance Indicators • Research Information Systems • Postgraduate research – development, training. The Research Process • Research tools and environments • Integration of new Methods to use new techniques from AI/ML The community being served • Making research more accessible • Platforms for citizen science research • Changing practices to reflect greater inclusion and diversity in research producers and consumers
  7. 7. Digital Twin Definition • A virtual, high fidelity representation of a system (physical artifact) that is amenable for rigorous quantitative analysis through what-if /if-what scenario playing to facilitate decision making. — The Digital Twin is the semantically linked collection of the relevant digital artefacts including design and engineering data, operational data and behavioural descriptions. — The Digital Twin evolves with the real system along the whole life cycle and integrates the currently available and commonly required data and knowledge. Digital Model PA D M Digital Shadow PA D M Digital Controller PA D M Digital Blueprint PA D M Automated Manual
  8. 8. Research Environments and their infrastructure: Digital Twin. Digital Twin Concept Administration, Management, Support • Data and Key Performance Indicators • Research Information Systems • Postgraduate research – development, training. As a dashboard for control of data The Research Process • Research tools and environments • Integration of new Methods to use new techniques from AI/ML The community being served • Making research more accessible • Platforms for citizen science research • Changing practices to reflect greater inclusion and diversity in research producers and consumers A tool for theory building and exploration. Support for citizen science research
  9. 9. © Middlesex University Conclusion • Future of research environments is bigger construct and permeates across the institution. • New tools are needed and they are required within the context of digitalization. • Digital twins represents a candidate technology that can help in multiple facets and help to move from hindsight to foresight. • More information on digital t twins is available at: https://dt.mdx.ac.uk

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