الاهتمامات البحثيةاستدامة الطاقة والعلوم الاجتماعية
لمى قائد بحوث في برنامج النقل والبنية التحتية. وهي حاصلة على درجة البكالوريوس في علوم الحاسب من جامعة عفت، ودرجة الماجستير في هندسة البرمجيات من جامعة أكسفورد. وتعمل في مجال البرمجة ونمذجة البيانات وهندسة البرمجيات ودمج البرمجيات. كما أنها جزء من فريق نظم المعلومات الجغرافية، وتعمل في التحليلات المكانية والنمذجة.
وهي أحد المساهمين الرئيسين في مجموعة أدوات كابسارك للتحليل السلوكي.
لطالما كانت دول مجلس التعاون الخليجي مركز اهتمام أسواق الطاقة لما تمتلكه من موارد هيدروكربونية هائلة. كما أن هذه الدول عبرت عن نيتها في قيادة العالم في مجال الطاقة المتجددة. ويستكشف الكتاب محركات تبني الطاقة المتجددة في دول الخليج والحاجة لها والسياسات الاقتصادية التي ستمهد الطريق للنجاح.
As populations and economies grow, a megatrend that will increasingly affect both developed and emerging economies is the policy trade-off between managing water resources and achieving food security objectives. This policy trade-off is very relevant in Gulf Cooperation Council (GCC) countries, which represent some of the most water scarce regions of the world and are also intent on achieving food security through domestic agriculture production. We offer a case study on the policy options for reducing water consumption while maintaining food security and farmer welfare in the GCC’s largest country, Saudi Arabia. Specifically, we explore how crop substitution can reduce aggregate water use without compromising the current level of food security or farmer welfare. Additionally, we assess the potential social implications of crop substitution options in order to better understand the political feasibility of various policy choices. The results suggest that if water usage is to be minimised while maintaining food production and farmer welfare, then the primary candidates for reduction are crops or livestock with large water intensity and low revenue and/or low production. Eliminating these types of crops would yield higher water savings than moderate reductions across a large portfolio of crops at the lowest political cost.
Saudi 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.
This 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 described in the recently released KAPSARC discussion paper Reforming the Role of State-Owned Enterprise in China’s Energy Sector: An Analysis of Collective DecisionMaking Processes Using the KAPSARC Toolkit for Behavioral Analysis (Chinese SOE Reform).
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 country’s continuing ‘great revival’. Despite this, some experts have been unconvinced by the pace of economic reform. What reform means for the energy sector is even less clear. There are competing views on how, and to what extent, the energy sector and energy policy will be reformed, but they all share various potential biases resulting from incomplete data and “not knowing what we don’t know”.
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 program code is available directly for computer programmers. Power users will be able to construct their own specific models based on the existing structure, and applied users will be able to access pre-built models through a simple graphical user interface. Collective decision-making processes are those in which a group of individual actors interact to arrive at a single decision. Common examples include the deliberations of corporate boards. These processes have usually been studied in a purely qualitative fashion, but there is a growing body of evidence which suggests that computer models can deliver additional insights. KTAB is being designed to unlock these additional insights for a broader range of analysts, but its release is also hoped to extend the awareness of computer models as a route to the investigation of CDMPs, and to prompt a wider acceptance and uptake of a quantitative approach to such analyses.