Mr Hyesop Shin

  • Research Associate (MRC/CSO Social & Public Health Sciences Unit)

email: Hyesop.Shin@glasgow.ac.uk

99 Berkeley Street, Glasgow, Glasgow City, Scotland, 영국, G3 7HR

ORCID iDhttps://orcid.org/0000-0003-2637-7933

Biography

Hyesop Shin is a quantitative geographer interested in environmental hazards, urban air quality, GIScience, agent-based modelling (ABM), and open-source research. Hyesop completed his PhD at the University of Cambridge where his project looked at how air pollution and urbanisation can affect pedestrian’s exposure and the health consequences followed by the cumulative exposure using ABM. Prior to joining the SPHSU, Hyesop worked as a research associate at the School of Geographical and Earth Sciences to understand how the users are demographically biased in crowdsourcing platforms and how these biases affect the outcomes. At the SPHSU, Hyesop is passionate to investigate the mobility of obese adolescents around Scotland using ABM and relevant skillsets.

Publications

List by: Type | Date

Jump to: 2022 | 2021 | 2019
Number of items: 6.

2022

Shin, H. and Bithell, M. (2022) Exposure to non-exhaust emission in Central Seoul using an agent-based framework. In: Czupryna, M. and Kamiński, B. (eds.) Advances in Social Simulation: Proceedings of the 16th Social Simulation Conference, 20–24 September 2021. Series: Springer Proceedings in Complexity. Springer International Publishing: Cham, pp. 343-354. ISBN 9783030928421 (doi: 10.1007/978-3-030-92843-8_26)

Shin, H. and Basiri, A. (2022) Geographic Biases in OSM Contributions: How do the Geographic Extent of Contributions Differ Among Demographic Groups? In: GISRUK 2022, Liverpool, UK, 05-08 Apr 2022, (doi: 10.5281/zenodo.6411601)

Shin, H. (2022) Quantifying the health effects of exposure to non-exhaust road emissions using agent-based modelling (ABM). MethodsX, 9, 101673. (doi: 10.1016/j.mex.2022.101673)

Shin, H. , Cagnina, C. and Basiri, A. (2022) The Impact of Built Environment on Bike Commuting: Utilising Strava Bike Data and Geographically Weighted Models. In: 25th AGILE Conference on Geographic Information Science “Artificial Intelligence in the service of Geospatial Technologies”, Vilnius, Lithuania, 14-17 June 2022, p. 15. (doi: 10.5194/agile-giss-3-15-2022)

2021

Shin, H. (2021) Benefits of open research in social simulation: an early-career researcher's perspective. Review of Artificial Societies and Social Simulation, 23 Nov.

2019

Shin, H. and Bithell, M. (2019) An agent-based assessment of health vulnerability to long-term particulate exposure in Seoul districts. Journal of Artificial Societies and Social Simulation, 22(1), 12. (doi: 10.18564/jasss.3940)

This list was generated on Sun Aug 14 06:36:09 2022 BST.
Number of items: 6.

Articles

Shin, H. (2022) Quantifying the health effects of exposure to non-exhaust road emissions using agent-based modelling (ABM). MethodsX, 9, 101673. (doi: 10.1016/j.mex.2022.101673)

Shin, H. (2021) Benefits of open research in social simulation: an early-career researcher's perspective. Review of Artificial Societies and Social Simulation, 23 Nov.

Shin, H. and Bithell, M. (2019) An agent-based assessment of health vulnerability to long-term particulate exposure in Seoul districts. Journal of Artificial Societies and Social Simulation, 22(1), 12. (doi: 10.18564/jasss.3940)

Book Sections

Shin, H. and Bithell, M. (2022) Exposure to non-exhaust emission in Central Seoul using an agent-based framework. In: Czupryna, M. and Kamiński, B. (eds.) Advances in Social Simulation: Proceedings of the 16th Social Simulation Conference, 20–24 September 2021. Series: Springer Proceedings in Complexity. Springer International Publishing: Cham, pp. 343-354. ISBN 9783030928421 (doi: 10.1007/978-3-030-92843-8_26)

Conference Proceedings

Shin, H. and Basiri, A. (2022) Geographic Biases in OSM Contributions: How do the Geographic Extent of Contributions Differ Among Demographic Groups? In: GISRUK 2022, Liverpool, UK, 05-08 Apr 2022, (doi: 10.5281/zenodo.6411601)

Shin, H. , Cagnina, C. and Basiri, A. (2022) The Impact of Built Environment on Bike Commuting: Utilising Strava Bike Data and Geographically Weighted Models. In: 25th AGILE Conference on Geographic Information Science “Artificial Intelligence in the service of Geospatial Technologies”, Vilnius, Lithuania, 14-17 June 2022, p. 15. (doi: 10.5194/agile-giss-3-15-2022)

This list was generated on Sun Aug 14 06:36:09 2022 BST.