How data science can help shaping the world

Around 54 percent of the world population currently live in urban areas. The number leads to an increasing proportion of people who desire for public services, as well as those who are eligible for social care service. There are 400,000 fewer people received publicly funded care in 2012/13 than previously, due to falling funding and local authorities being forced to tighten the eligibility criteria for free social care. The social care funding gap is projected to reach £2.1bn by 2019/20. It is important for the local authority to control resource allocation management to provide the services to the most needed group of recipients.

About Me

My name is Sarunkorn Chotvijit, or Mo. I am a PhD student in Urban Science at the Warwick Institute for the Science of Cities (WISC) and a former Data Scientist Intern for Commissioning Adult Services and Business and Finance departments at the Birmingham City Council. My research focuses on applying data analytics and data visualisation techniques over a large-scale data to gain understanding and tackle challenges at a city level. The current project I am working on is analysing social care data with collaboration to the Birmingham City Council, the largest local authority in West Europe, to understand the children and adults social care service provision, planning and delivery across the city, against austerity the Council is encountering.

Publications

Chotvijit, S., Thiarai, M.S., and Jarvis, S.A. (2018) “ Maintaining social care provision in the context of financial austerity.” International Journal of Population Data Science (IJPDS)), 3(1).

Chotvijit, S., Thiarai, M.S., and Jarvis, S.A. (2018) “A Study of Data Continuity in Adult Social Care Services.” British Journal of Social Work.

Chotvijit, S., Thiarai, M.S., and Jarvis, S.A. (2018) “Big Data Analytics in Social Care Provision: Spatial and Temporal Evidence from Birmingham.” dg.o 2018: 19th Annual International Conference on Digital Government Research. Association for Computing Machinery (ACM). Delft, Netherland.

Tkachenko, N., Chotvijit, S., Gupta, N., Bradley, E., Gilks, C., Guo, W., Crosby, H., Shore, E., Thiarai, M.S., and Jarvis, S.A. (2017) “Google Trends can Improve Surveillance of Type 2 Diabetes.” Nature Scientific Reports. 7: 4993.

Chotvijit, S., Prukpaiboon, N., Muangnak, P., and Aimmanee, P. (2013) “Comparative Study of Initial Seed Point Required Approaches with the use of Vessel Distance Hint for OD Boundary Detection.” The Second Asian Conference on Information Systems (ACIS). Phuket, Thailand.

Work In Progress

Chotvijit, S., Thiarai, M.S., and Jarvis, S.A. (2018) “Assessing the viability of budget saving proposals for social care delivery.” (under revision at Local Government Studies)

Blog & News

Award winning proceedings at dg.o 2018

The proceeding receive an award from Dg.o2018 as best management paper award among more than 150 participants on 31st May 2018 at Delft, the Netherlands

Get In Touch

Interest in collaborations or other enquiries? I am looking forward to hearing from you.