Computer Science and Informatics Computer science at Brunel has gone from strength to strength, with a 22% growth in the submission size since the last time the REF was conducted in 2014, mainly expanding in areas such as artificial intelligence, big data and the digital economy. Over 40% of the research papers we submitted for assessment were graded as world-leading. View full results here. Connecting Africa: New Networks for Open Science - REF impact case study The Brunel team set about working with groups in a number of African countries to share the research and knowledge that underpinned the European system. REF results for physical sciences engineering and mathematics panel REF Unit of Assessment (click for full details) College Subjects World leading or internationally excellent research 4* 3* 2* 1* FTE equivalent Computer Science and Informatics (UoA 11) popup window College of Engineering, Design and Physical Sciences Computer Science 69.0% 27.0% 42.0% 24.0% 0.0% 37.3 Earth Systems and Environmental Sciences (UoA 07) popup window College of Health, Medicine and Life Sciences College of Engineering, Design and Physical Sciences Environmental Sciences 81.0% 15.0% 66.0% 19.0% 0.0% 16.4 Engineering (UoA 12) popup window College of Engineering, Design and Physical Sciences Aerospace Engineering, Chemical Engineering, Civil Engineering, Electronic and Electrical Engineering, Mechanical and Automotive Engineering, Design School, Digital Media 81.0% 17.0% 64.0% 13.0% 6.0% 152.8 Mathematical Sciences (UoA 10) popup window College of Engineering, Design and Physical Sciences Mathematics 69.0% 20.0% 49.0% 31.0% 0.0% 26.4 Computer Science and Informatics (UoA 11) 4* 3* 2* 1* U/C Overall 27.0% 42.0% 24.0% 0.0% 7.0% Output (65%) 39.8% 41.9% 17.2% 0.0% 1.1% Impact (20%) 12.5% 37.5% 25.0% 0.0% 25.0% Environment (15%) 0.0% 50.0% 50.0% 0.0% 0.0% 69% of the research in Computer Science and Informatics at Brunel is world-class or internationally recognised Connecting Africa: New Networks for Open Science The Brunel team set about working with groups in a number of African countries to share the research and knowledge that underpinned the European system. - Example of REF 2021 Case 小湿妹视频 Read more on Connecting Africa: New Networks for Open Science Close popup Earth Systems and Environmental Sciences (UoA 07) 4* 3* 2* 1* U/C Overall 15.0% 66.0% 19.0% 0.0% 0.0% Output (65%) 4.9% 82.9% 12.2% 0.0% 0.0% Impact (20%) 50.0% 50.0% 0.0% 0.0% 0.0% Environment (15%) 0.0% 25.0% 75.0% 0.0% 0.0% 81% of research in Earth Systems and Environmental Sciences at Brunel is world-leading or internationally excellent New safety laws for chemicals Our food, our water and the things we use everyday are constantly contaminated by hundreds of harmful chemicals that build up in bodies and the environment. - Example of REF 2021 Case 小湿妹视频 Read more on New safety laws for chemicals Close popup Engineering (UoA 12) 4* 3* 2* 1* U/C Overall 17.0% 64.0% 13.0% 6.0% 0.0% Output (65%) 14.4% 64.7% 15.7% 5.2% 0.0% Impact (20%) 11.1% 61.1% 16.7% 11.1% 0.0% Environment (15%) 37.5% 62.5% 0.0% 0.0% 0.0% 81% of research in Engineering at Brunel is world-leading or internationally excellent Wrexham firm decked out with Brunel research Prof Fan鈥檚 helped the company develop the technology needed to produce a consistent and reliable product from a wood and plastic composite - Example of REF 2021 Case 小湿妹视频 Read more on Wrexham firm decked out with Brunel research Close popup Mathematical Sciences (UoA 10) 4* 3* 2* 1* U/C Overall 20.0% 49.0% 31.0% 0.0% 0.0% Output (65%) 19.7% 68.2% 12.1% 0.0% 0.0% Impact (20%) 33.3% 0.0% 66.7% 0.0% 0.0% Environment (15%) 0.0% 50.0% 50.0% 0.0% 0.0% 69% of research in Mathematics at Brunel is world-leading or internationally excellent Extreme modelling: statistical research fix for difficult-to-predict situations Prof Yu鈥檚 disseminated modelling approaches have been used by TWI in Japan and the United Arab Emirates, to reduce risk of catastrophic incidents. - Example of REF 2021 Case 小湿妹视频 Read more on Extreme modelling: statistical research fix for difficult-to-predict situations Close popup