OpenBright grants have been available since 2020 to support women in the development of research projects at the university level, focusing on subjects related to computing and technology. OpenBright offers small grants for students studying for degrees or postgraduate qualifications in areas such as software engineering, data science, digital media, artificial intelligence, and robotics.
We are thrilled to introduce the awardees:
Assemgul Kozhabek (Final year Ph.D. candidate): Assemgul is the second-time OpenBright grant awardee. Her plan is to upgrade her computer system to conduct a thorough analysis of road networks. This upgrade will greatly support her project, titled “Examining the Topology of Urban Road Networks in densely populated countries: China and India”. Assemgul and her supervisor Dr. Wei Koong Chai abstracted road networks as complex systems and employ tools from network science to study their properties. This study introduces multi-level urban road network robustness metrics, which incorporates macro, meso and micro perspectives. Assemgul thanks her supervisor Dr. Wei Koong Chai and Dr. Melanie Coles for their guidance and support!
Fatima Ahmad Muazu (1st year Ph.D. student): Fatima got funding for her project “The Use of Mobile Learning and Assistive Technologies for Enhancing Digital Inclusion in Special Education for Learners with Learning Disabilities in underserved regions of Northern and Southern Nigeria”. The funding will be used to conduct a preliminary needs analysis involving stakeholders and students in special education settings of 4 Nigerian secondary schools.
Ayo Agbeja (MSc Data Science and Artificial Intelligence): Ayo’s research title is “Plastic Wastes and Sustainability Targets in Germany: A Policy Simulation Experiment using Machine Learning”. Her project has a primary focus on Germany and aims to investigate the relationship between policies related to plastic waste management and sustainability objectives, particularly in the context of reducing carbon emissions. This simulated model will take into account the key factors: economic growth, oil and coal production, the generation of renewable energy, and energy consumption, while making projections based on an optimal weighting of these factors.
BU PhD student receives OpenBright grant
Broadening horizons: Network Science at Utrecht Summer School
BU PhD Candidate Shares Transportation Expertise at Dorset COP 24
SUNRISE: collaborative project with Universiti Sains Malaysia supporting sustainability research
Join our November CMWH seminar – two fabulous speakers!
Check out the artwork from the ESRC funded project, Communities of wellbeing: the digital lives of LGBTQ+ young people.
Horizon Europe – ERC CoG and MSCA SE webinars
ERC grants – series of webinars
Blindness and Media Engagement
MaGMap: Mass Grave Mapping
Last reminder – MSCA Postdoctoral Fellowships 2024 internal deadline next week