Primary Program
About
Lama Yaseen is a Fellow working under the Transport and Infrastructure Program at KAPSARC. Her work centers on the challenges of energy sustainability, security, and digital infrastructure and mobility in urban settings. Lama is a researcher and a data scientist with software development experience. She specializes in big data modeling on research in urban and sustainable transportation. Lama was previously in the Policy and Decision Sciences team in KAPSARC leading the software development of policy and behavioral models. She holds an M.Sc. in Software Engineering from the University of Oxford and a B.Sc. in Computer Science from Effat University.
Education
2018 – 2021
University of Oxford
MSc – Computer Software Engineering
2010-01-01 - 2014-06-02
Effat University
Bachelor - Computer Science
Publications
29 December 2024
The Determinants of Successful Energy Subsidy Reforms: A Logistic Regression AnalysisMany factors influence whether an energy subsidy reform is successful. We define success as a reform that does not lead to social unrest and is not reversed. To better understand these factors, we apply logistic regression analysis to an original dataset capturing 392 distinct episod...
19 December 2024
Impact of Urban Traffic on Fuel Consumption Leveraging IoT Data: Case Study of Riyadh CityThis study explores the rising trend of traffic congestion in Riyadh and its impact on fuel consumption for passenger cars amid the challenges of rapid urbanization and increasing vehicle use. By utilizing real-time floating car data (FCD) collected by vehicles equipped with Global P...
05 March 2016
Policy Options for Reducing Water for Agriculture in Saudi ArabiaSaudi Arabia relies almost exclusively on aquifers and desalination to provide its water. Roughly 87 percent of these water extractions are used for agriculture, and so any policy to improve the sustainability of water resources cannot ignore this agriculture dimension.
24 December 2015
Multidimensional Bargaining Using KTABThis paper (Multidimensional KTAB) is a technical discussion paper designed as a follow on to An Introduction to the KAPSARC Toolkit for Behavioral Analysis using one-dimensional spatial models (Unidimensional KTAB). It extends the original framework of KTAB to explain the analysis d...
06 July 2015
Reforming the Role of State-Owned Enterprise in China’s Energy Sector: An Analysis of Collective Decision-Making Processes Using the KAPSARC Toolkit for Behavioral Analysis (KTAB)What are the prospects for reform of the Chinese energy sector? This question is the subject of much debate both inside and outside China. Since coming to power in November 2012, China’s new government has issued a series of statements on reform, clearly an important part of the coun...
07 May 2015
An Introduction to the KAPSARC Toolkit for Behavioral Analysis (KTAB)The KAPSARC Toolkit for Behavioral Analysis (KTAB) is freely available, state-of-the-art software that has been designed to enable the rigorous and systematic analysis of collective decision-making processes (CDMPs). KTAB is being designed with three types of users in mind. The progr...
