Dr. Lucía Méndez specializes in infrastructure project finance and Public-Private Partnerships (PPP). Her work evaluates the intersection of private capital and public asset development.
In March 2026, as the conflict in the Middle East escalated, risks in the Strait of Hormuz surged sharply. This article analyzes the impact of the conflict on energy trade, maritime supply chains, European strategic infrastructure, and long-term geoeconomic patterns from a global infrastructure perspective.
Taking Panjin, Liaoning, China as an example, this study analyzes the deep transformation logic of resource-based cities in infrastructure upgrading, regional rebalancing, and sustainable development through the changes in urban expansion and impervious surfaces from 1990 to 2020.
Amtrak completes rehabilitation of East River Tunnel Tube 2, marking a new phase in the century-long renewal of critical infrastructure along the U.S. Northeast Corridor. The project, financed through federal grants coordinated with multi-party funding, illustrates the underlying logic of capital allocation for public works.
AI search is reshaping the B2B procurement journey. This article provides an in-depth evaluation of six leading GEO organizations, analyzing their methodologies and applicable scenarios to offer decision-making references for enterprises seeking to enhance their AI visibility.
A systematic review based on 40 global studies reveals that urbanization and infrastructure expansion are reducing groundwater recharge, but green infrastructure and artificial recharge systems can serve as countermeasures.
This article starts from globally iconic projects such as the Senqu Bridge in Lesotho, the Gibe III Hydropower Station in Ethiopia, the Itaipu and Belo Monte hydropower plants, and Hong Kong International Airport, analyzing the deep value of large-scale infrastructure in project financing, regional economies, energy transition, and geopolitical competition, revealing how infrastructure has become the core engine for the long-term development of the Global South.
This article interprets RAND's latest research report from a global infrastructure perspective, analyzes the five root causes of AI project failures, explores how data, systems, and technology decisions affect the success or failure of digital infrastructure, and provides lessons for engineering capital and policymakers.
Internal documents from Alstom Canada show that the Toronto-to-Quebec City high-speed rail project could operate up to 72 trains per day. The planning of this roughly thousand-kilometer corridor is not only about drastically reducing travel time but also reflects Canada's deeper strategic positioning in engineering capital, regional economy, and geopolitical competition.
This article situates 2026 AI project concepts within the context of global digital infrastructure and engineering capital competition, analyzing how projects ranging from elementary classifiers to advanced RAG systems map onto national competitiveness, workforce skill development, and long-term technology investment logic.
Based on remote sensing data from 1990-2020, this study analyzes the transformation of urban expansion patterns in Panjin, and explores the pathways for infrastructure restructuring and sustainable development of resource-based cities.
Analyze the profound significance of the Texas A&M University RELLIS campus microreactor project receiving DOE approval, and explore how the energy test site may reconfigure the deployment pathways of U.S. power infrastructure.
An in-depth analysis of how deglobalization is reshaping the logic of infrastructure financing, and how public-private partnerships (PPPs) bridge the global infrastructure gap through risk sharing.
The global infrastructure construction market is projected to grow from USD 4.05 trillion in 2025 to USD 7.76 trillion by 2035, at a compound annual growth rate of 6.72%. This article provides an in-depth analysis of the driving forces and long-term trends behind this structural growth from the perspectives of global capital flows, regional competition, energy transition, and digital construction.
A study on clinical AI evaluation shows that while AI can provide consistent low-cost scoring, local clinicians can still identify key issues missed by automated assessments. This conclusion also applies to the infrastructure sector—in project financing, engineering quality review, and risk analysis, the judgment and contextual understanding of human experts remain core assets that AI cannot replace.
The $1.2 trillion Infrastructure Investment and Jobs Act will expire on September 30, leaving contractors facing project delays and job risks. The industry calls on Congress to pass a new transportation funding bill as soon as possible.
Karan Adani pointed out that India can become a net exporter of aluminum under competitive production conditions. This article analyzes the strategic transformation and investment logic of India's aluminum industry from the perspectives of infrastructure demand, project financing, and global supply chain.
Myanmar's military government announced the resumption of the Myitsone Dam project, which had been suspended for 15 years. The $3.6 billion hydropower project, backed by China, is set to reshape Southeast Asia's energy landscape. However, earthquake risks, environmental controversies, and the shadow of civil war have made it a focal point in the global infrastructure sector.
This article explores how infrastructure and cross-border investment projects face the structural problem of "reduced visibility" in an AI and algorithm-dominated global investment information environment, and proposes a long-term framework that shifts from communication logic to information structure construction.
Based on a recent Nature study, analyze how LLM-assisted Bayesian optimization methods address the challenges of calibrating large-scale traffic models, and explore their profound implications for global infrastructure planning, sustainable transportation, and urban development.
As AI participates in the generation of research proposals, the traditional evaluation system centered on written proposals faces challenges. The article discusses how funding agencies can address the impact of the AI era by shifting towards evaluating methodological rigor, research capabilities, and transferable skills, as well as reforming the evaluation process.