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It has been over a year since the Infrastructure Investment and Jobs Act passed, unleashing an unprecedented $864 billion in federal funding to improve the country's transportation, water, energy, and broadband systems. This comes on top of hundreds of billions of dollars for related climate and industrial investments in the Inflation Reduction Act and CHIPS…
This report aims to more consistently identify, measure, and assess infrastructure's connection to broader economic priorities at a subnational level, by exploring how water is used at a metropolitan scale. Through several key metrics—including total water use and per capita water use—it provides a new starting point for metro and nonmetro leaders to consider while balancing water efficiency and equity considerations.
Die Inhalte der verlinkten Blogs und Blog Beiträge unterliegen in vielen Fällen keiner redaktionellen Kontrolle.
Warnung zur Verfügbarkeit
Eine dauerhafte Verfügbarkeit ist nicht garantiert und liegt vollumfänglich in den Händen der Herausgeber:innen. Bitte erstellen Sie sich selbständig eine Kopie falls Sie diese Quelle zitieren möchten.
As the country increasingly faces devastating floods, historic blizzards, and extreme droughts, there is an urgent need to take climate action. Adapting to these events is becoming a daily reality for many people and places, but avoiding the worst impacts in the long term depends on reducing greenhouse gas (GHG) emissions now. And while striving…
In the face of a changing climate, rising sea levels, and various national security concerns, market forces—assisted by public policy—continue to shift key portions of the American economy away from carbon-intensive, fossil fuel driven activities toward cleaner, more efficient, and higher-output ones, especially through greater energy efficiency and more use of renewable energy sources. Consumers are changing their behavior and increasingly seeking greener alternatives as new products flood the marketplace. Businesses are launching new innovations, shifting production schedules, and bringing cleaner products and services to the market to serve them. And with the recent promotion by climate activists of an ambitious Green New Deal, fiery policy debates have broken out in Congress over the need for investments in clean-energy jobs and infrastructure. As a result, big changes in consumption patterns, manufacturing processes, the power sector, and regulatory affairs—all related to the shift to reduced carbon emissions—have become some of the highest-profile, most-debated trends of the decade. The resulting analysis projects great promise for the U.S. labor market and household opportunity as the clean energy economy transitions continues to push forward. Yet delivering economy-wide prosperity based on the inclusive nature of many clean energy economy occupations will require a more concerted effort to ensure all individuals can fill these jobs.
In this study, we describe several of the fundamental pillars that define smart cities in India, using Ajmer, Allahabad, and Visakhapatnam (Vizag) as examples. First, we establish additional context behind these efforts and provide a critical appraisal of previous government programs centered on urbanization, including the Jawaharlal Nehru National Urban Renewal Mission (JnNURM). We describe the central role of local governments in spearheading future changes across India, including the continued devolution of fiscal responsibility and authority. In particular, states and municipalities throughout India have varied widely in their implementation of the 74th Constitutional Amendment Act, which was designed to improve local governance. Across the public and private sectors, in turn, a wide range of institutional and financial factors must be weighed carefully when accelerating Smart City improvements in years to come.
Across the world, rapid urban growth offers enormous opportunity to those living in cities and suburbs. Urban residents tend to earn higher incomes than their rural peers, and enjoy the benefits of living in closer proximity to vital services and commerce. However, the same influx of people and economic activity also places enormous pressure on the built environment, straining existing transportation systems across the developed and developing world. In turn, residents and businesses increasingly struggle to reach one another, and they often place a premium on locating in neighborhoods with the greatest urban access. In other words, people want to live where it is easy to reach key destinations. This can drive up the price of land and contributes to a toxic mix of income inequality and spatial inequity. In response, urban leaders need to plan, design, and deliver transportation services and develop land in a way that prioritizes inclusive access. Striving for greater and more inclusive access requires a new vision for urban areas in the years to come and should inform longer-term strategies and policy decisions. This new framework should aim to optimize access for all people regardless of demographic characteristics, ensure the built environment is responsive to their needs, and promote development of a transportation system in line with an urban area's long-term fiscal and financial health.
Die Inhalte der verlinkten Blogs und Blog Beiträge unterliegen in vielen Fällen keiner redaktionellen Kontrolle.
Warnung zur Verfügbarkeit
Eine dauerhafte Verfügbarkeit ist nicht garantiert und liegt vollumfänglich in den Händen der Herausgeber:innen. Bitte erstellen Sie sich selbständig eine Kopie falls Sie diese Quelle zitieren möchten.
This week, President Biden will convene 40 world leaders for a major climate conference. The event marks America's return to the world stage on climate action and is an opportunity for the president to work with other global leaders on fighting an existential crisis that has already wreaked havoc across the world. In a series…
In: Wong-Lin , K , McClean , P , McCombe , N , Kaur , D , Sanchez-Bornot , J M , Gillespie , P , Todd , S , Finn , D , Joshi , A , Kane , J & McGuinness , B 2020 , ' Shaping a data-driven era in dementia care pathway through computational neurology approaches ' , BMC Medicine , vol. 18 , 398 . https://doi.org/10.1186/s12916-020-01841-1
Background: Dementia is caused by a variety of neurodegenerative diseases and is associated with a decline in memory and other cognitive abilities, while inflicting an enormous socioeconomic burden. The complexity of dementia and its associated comorbidities presents immense challenges for dementia research and care, particularly in clinical decision-making. Main body: Despite the lack of disease-modifying therapies, there is an increasing and urgent need to make timely and accurate clinical decisions in dementia diagnosis and prognosis to allow appropriate care and treatment. However, the dementia care pathway is currently suboptimal. We propose that through computational approaches, understanding of dementia aetiology could be improved, and dementia assessments could be more standardised, objective and efficient. In particular, we suggest that these will involve appropriate data infrastructure, the use of data-driven computational neurology approaches and the development of practical clinical decision support systems. We also discuss the technical, structural, economic, political and policy-making challenges that accompany such implementations. Conclusion: The data-driven era for dementia research has arrived with the potential to transform the healthcare system, creating a more efficient, transparent and personalised service for dementia.
BACKGROUND: Dementia is caused by a variety of neurodegenerative diseases and is associated with a decline in memory and other cognitive abilities, while inflicting an enormous socioeconomic burden. The complexity of dementia and its associated comorbidities presents immense challenges for dementia research and care, particularly in clinical decision-making. MAIN BODY: Despite the lack of disease-modifying therapies, there is an increasing and urgent need to make timely and accurate clinical decisions in dementia diagnosis and prognosis to allow appropriate care and treatment. However, the dementia care pathway is currently suboptimal. We propose that through computational approaches, understanding of dementia aetiology could be improved, and dementia assessments could be more standardised, objective and efficient. In particular, we suggest that these will involve appropriate data infrastructure, the use of data-driven computational neurology approaches and the development of practical clinical decision support systems. We also discuss the technical, structural, economic, political and policy-making challenges that accompany such implementations. CONCLUSION: The data-driven era for dementia research has arrived with the potential to transform the healthcare system, creating a more efficient, transparent and personalised service for dementia.