Student Projects

As part of the MSc Urban Informatics at King’s college London, the students produce an important dissertation and, with CUSP London, its Partners and Associates, these projects often lead to further research and real impact.

Student Projects for MSc Urban Informatics 2020/21

• Raphael Canty - How has travel demand been impacted by COVID-19?
  
• Yue Zhang - Impact of COVID-19 on crime
  
• Kejiang Qian - Spatiotemporal data mining of road traffic accidents in London - towards post-pandemic deployment
  
• Yuying Wu - “Hot Street” of crime detection in Haringey City Council and Lockdown Impacts
  
• Liwei Chen - Spatial data anlyses and visualisation for new protein sources
  
• Xiaotian Li - Development of a Natural language processing approach to extract information related to financial situation or other relevant socio-economic information from mental health records
  
• Shuhan Yang - Predicting a degree of suicide risk using social media data from Reddit
• Zhenxiao Fei - Exploring associations between patient reported housing problems, information on local housing stock and mental health
• Hasnayn Yousaf - How has travel demand and air quality been impacted by COVID-19?
• Xiaoxiao Ma - Quantifying the benefits of urban greenspace and trees on wellbeing in the borough of Haringey
• Yitong Liu - Urban Multi-function land use modelling
• Yuxi Liu - Accessibility analysis of retain locations
• Yuxing Qi - Sentiment analysis of COVID-19 tweets in England
• Sijie Zhang - Comparative research of the impact of COVID-19 on consumer economy in Sydney and London
• Jiawei Li - Spend it locally: A research on residents’ spending behaviour upon COVID-19 outbreak
• Yuhan Zhou - Sentiment Analaysis using Social Media Data

Examples of the Student Projects for MSc Urban Informatics 2019/20

An exciting update from a current student: Trust, but verify – working with administrative data

• The Next Place Prediction Using Social Networks
• Dynamic Evaluation on Violent Crime in London
• No Space Like Home: Enriching Evidence Base on Shrinking Homes in London
• Exploring associations between patient reported housing problems, information on local housing stock, and mental health
• Age Specific Fatal Accidents Study in UK
• Crime-deterrent effect from Stop & Search, is it true?
• Crime Displacement and Diffusion of Crime Control Benefits in Central London
• How natural language processing approaches can be used to automatically label attendances as related to self-harm or not’
• Geospatial analysis of referral patterns for Child and Adolescent Mental Health (CAMHS) services
• Air pollution and mental health
• Predicting future need for social care
• Food consumption’s environmental impact
• Spatial pattern of hotels and Airbnb in Tourist Cities
• Location Selection Strategy for Restaurants in the Online Food Delivery Era
• Identifying the key environmental factors of ‘robbery’ in a City Council
• Typologies of Fuel Poverty: understanding built environment and household determinants of fuel poverty in a City Council
• Understanding Energy Consumption at Kingís College London
• Dynamic Dispatch: Prioritisation and allocation of ambulances to patients (London Ambulance Service)
• Patient see, patient do; impact of BBC Ambulance television broadcast on patient behaviour and emergency ambulance demand
• Ambulance demand during heatwaves
• Patterns of school attendance: Exploring dynamic responses to changing levels of provision and demand
• British School and Adolescent Suicide Ideation- A Multilevel Analysis Based on Suicidal Adolescents Identified from Mental Health Records

Testmimonial

The teaching and facilities are amazing at King’s but choosing CUSP London is way more than that, I really feel like I’m part of the community that brings together people who are eager to learn and grow. The way that CUSP London is set up has made it really easy to meet and collaborate with people from partners of CUSP, since there are a variety of events happening in CUSP such as Data Dive, Coffee Catchup and Guest Seminars. I enjoyed my time at King’s and beyond the urban analytics knowledge and data science skill-set I acquired, I was able to boost a growth mindset which is needed for a career I’m truly passionate about. – MSc Urban Informatics Student – Zhouyue

Examples of the Student Projects for MSc Urban Informatics 2018/19

• Predicting response time performance for the London Ambulance Service
• Geospatial analysis of psychosis risk factors and clinical outcomes
• Extending an Agent-Based Model of Distance-Based School Allocation
• Planning the Distribution of Charge Points for Electric Vehicles
• Predicting building and land use attributes from street configuration, hierarchy, and other contextual factors
• Geographical and Disciplinary Differences in Collaboration Networks
• Modelling and geographic correlation analysis of calls to the London Ambulance Service related to unconsciousness
• Liveable Streets
• The role of environment and accessibility in suicidality
• Predictive models on terrorism vulnerability with local climate

Please see our research pages for further details Research