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61 - 70 of 159 search results for Economics test |u:www.cdbb.cam.ac.uk where 71 match all words and 88 match some words.

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  2. CDBB Research Agenda and Landscape_8_Services_uil_v2.1

    https://www.cdbb.cam.ac.uk/system/files/documents/CDBBResearchAgendaandLandscape_8_Services_uil_v2.1_RELEASED.pdf
    26 Mar 2019: Establish the value of the technical, social, economic and environmental causal relationships between service outcomes and the underlying infrastructure. • ... The economics of society will change. The emerging markets and developing countries now
    By: Andrew Robinson

  3. A Bayesian Definition of ‘Most Probable’ Parameters Yingyan Jin, ...

    https://www.cdbb.cam.ac.uk/system/files/documents/ABayesiandefinitionofmostprobableparameters_FINAL.pdf
    29 Oct 2018: The other 14 parameters remained constant as the values taken from laboratory tests. ... This result shows that the most probable values produced by Bayesian inference are less conservative than those estimated from in-situ tests.
    By: Angela Thompson

  4. The pathway towards an Information Management FrameworkA ‘Commons’…

    https://www.cdbb.cam.ac.uk/files/commons_tech_report_may29_single_page_spread_sfs.pdf
    1 Jun 2020: National digital twin. Champion human-centric design of infrastructure and. services. Delivery better through-life economic, social and environmental. ... Join it to socio-economic data to model where and how the impact of failure of key infrastructure

  5. Research Landscape: Scoping Review Kirsten Lamb, CDBB June 2019 ...

    https://www.cdbb.cam.ac.uk/files/cdbb_rep_023_research_landscape_report.pdf
    24 Jun 2019: create them, but less effort to empirically test, evaluate, join-up and agree on them. ... climate, social wellbeing and justice, economic stability and safety performance of built assets).
    By: Angela Thompson

  6. CDBB report - Final Version - proofed

    https://www.cdbb.cam.ac.uk/files/bim_evaluating_tools_for_maturity_and_benefits_measurement_report.pdf
    31 Mar 2020: Building Information Modelling: Evaluating Tools for Maturity and. Benefits Measurement. Delivered on behalf of the Centre for Digital Built Britain in partnership with the UK BIM Alliance. This research forms part of Centre for Digital Built

  7. Author to Provide Title

    https://www.cdbb.cam.ac.uk/files/cdbb_ecr_project_final_report_9_7_2019_v2_3_formatted_dr_-_dr_zaid_alwan.pdf
    21 Aug 2019: 2018/19 ECR Project. Digital Energy Estimation Tool (DEET):. Final Report. 10th July 2019. Digital Energy Estimation Tool (DEET) Faculty of Engineering and Environment. Northumbria University , Newcastle upon Tyne. PI name: Dr. Zaid Alwan
    By: W16036277

  8. Designing an Accelerator for the Construction Sector Stewart…

    https://www.cdbb.cam.ac.uk/files/designing_an_accelerator_for_the_construction_sector_final_0.pdf
    8 Mar 2022: value-based procurement decisions that will result in the environmental, social, and economic outcomes they want. ... they also need to develop hypotheses, design tests and implement and learn from them.
    By: Jo Daye

  9. 0 | CDBB Research Landscape FUTURE CAPABILITIES REPORT THE ...

    https://www.cdbb.cam.ac.uk/sites/www.cdbb.cam.ac.uk/files/cdbb_lot_7_-_turner_harris_-_final_public_release-1.pdf
    24 Jun 2019: as one of the frontrunners in the global race to successfully use digital technologies to drive economic prosperity and. ... We must. recognise natural differences in the momentum and appetite between them, as the fundamental economic and fiscal.
    By: James Harris

  10. Author to Provide Title

    https://www.cdbb.cam.ac.uk/files/cdbb_final_report_analysing_systems_interdependencies_using_the_digital_twin_1_-_prof_jennifer_whyte.pdf
    12 Aug 2019: 2018/19 General Project. Analysing Systems Interdependencies Using a Digital Twin. Final Reporting. 10 July 2019. Name of Project PI Affiliation. Professor Jennifer Whyte Imperial College London. Email address. j.whyte@imperial.ac.uk. Co-I name
    By: Nik Thomas

  11. PowerPoint Presentation

    https://www.cdbb.cam.ac.uk/sites/www.cdbb.cam.ac.uk/files/2021-08-31_guidance_-_digital_twin_navigator_v02.pdf
    11 Nov 2021: to help relieve the pressures put upon it from increasing population, economic growth and climate change. ... A sophisticated Digital Twin can undertake various predictive future scenarios and test various options virtually, especially around investment
    By: Philp, David

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