The Green Investment Report: The Ways and Means to Unlock Private Finance for Green Growth

This report is a first step by the Green Growth Action Alliance to deliver on the G20 Leaders' request. It aims to provide a common point of reference to guide policy-makers, financial institutions and investors as they seek to better understand, and address, the global gap in green investment. This report documents and synthesizes the best available green investment data, research and case studies from a number of leading organizations, including Bloomberg New Energy Finance, the Climate Policy Initiative, the International Energy Agency, the Organization of Economic Cooperation and Development, the United Nations Environment Programme, the World Bank Group and the World Resources Institute, and provides important messages for different groups of stakeholders. New analysis is also presented on clean-energy asset finance flows, the findings of which can be used to guide investment decisions and priorities in other sectors

Inside magazine, December 2013-January 2014

Iowa Department of Transportation Newsletter. INSIDE Magazine is developed to help keep all Iowa DOT employees informed about critical issues affecting them, recognize DOT employees for their excellent service and share interesting aspects in the lives of our co-workers

What's Blocking the Sun?: Solar Photovoltaics for the U.S. Commercial Market

Provides an overview of installation trends and investment climate for solar photovoltaics in the U.S. commercial sector, including policy and economic obstacles. Recommends strategies for the solar industry, the commercial sector, and policy makers

John Templeton Foundation: Capabilities Report

This annual report, celebrating the 25th anniversary of the foundation, includes letters from its leaders, a history of the foundation, details of current grantmaking and other activities, financial statements, and lists of trustees

Life Sciences Innovation as a Catalyst for Economic Development: The Role of the Massachusetts Life Sciences Center

This report provides an up-to-date, independent evaluation of the $1 billion, 10-year Massachusetts Life Sciences Initiative and the Massachusetts Life Sciences Center (MLSC) charged with the responsibility of carrying out its mission. The initiative was established in July 2008 by Governor Deval Patrick's Administration and the Legislature to encourage the growth of discovery and production in the life sciences, including biotechnology, pharmaceuticals, medical diagnostics, medical devices and bioinformatics in the Commonwealth. Based on the region's existing comparative advantage in life sciences research and development (R&D) emanating from the laboratories of its leading universities and medical institutions, this substantial infusion of public funds was undertaken with the ambitious goal of making this cluster of industry sectors the most successful in the world. This evaluation comes at a propitious time, given the state of fiscal affairs in the Commonwealth and the nation. Virtually every unit of government is scrutinizing the use of each tax dollar to ensure that public revenue is being spent effectively and efficiently. Put simply, our goal in this evaluation was to gather as much data as possible to assess whether the Commonwealth's sizeable commitment of public resources is paying off in the form of a life sciences "super cluster" capable of attracting massive amounts of investment dollars, generating well-paying jobs for Massachusetts residents and yielding additional tax revenue for the Commonwealth

Study on bridge inspections, A: identifying barriers to new practices and providing strategies for change

2021 Summer.Includes bibliographical references.Bridge inspections are one of the key elements required for a successful bridge management process to ensure adequate bridge performance. Inspections significantly inform maintenance decisions and can help in managing maintenance activities to achieve a reliable bridge network. In the United States (U.S.) routine visual inspections are required for most bridges at a maximum interval of 24-months regardless of the bridge condition. However, limitations of current bridge inspection practices impact the quality of information provided about bridge condition and the subsequent decisions made based on that information. Accordingly, the overarching goal of this research project is to support bridge inspection practices by providing a systematic and rational framework for bridge inspection planning and identifying the factors that can facilitate innovation and research transfer in the bridge inspection field. To do so, this dissertation includes three separate yet related studies; each focusing on essential aspects of bridge inspection planning. Much research in bridge inspection has been conducted to improve the inspection planning process. The first study provides an overview of current bridge inspection practices in the U.S. and conducts a systematic literature review on innovations in the field of bridge inspection planning to identify research gaps and future needs. This study provides a background on the history of bridge inspection in the U.S., including current bridge inspection practices and their limitations, and analyzes the connections between nondestructive evaluation techniques, deterioration models and bridge inspection management. The primary emphasis of the first study is a thorough analysis of research proposing and investigating different methodologies for inspection planning. Studies were analyzed and categorized into three main types of inspection planning approaches; methods that are based on: reliability, risk analysis, and optimization approaches. This study found that one of the main barriers that may be preventing the implementation of new inspection planning frameworks in practice is that the approaches presented focus on a single bridge element or deterioration mechanism in the decision-making process. Additionally, it was concluded that approaches in the literature are either complex to apply or depend solely on expert judgement. Limitations of the uniform calendar-based approach used to schedule routine inspections have been reported in the literature. Accordingly, the objective of the second study is to provide a new systematic approach for inspection planning that integrates information from bridge condition prediction models, inspection data, and expert opinion using Bayesian analysis to enhance inspection efficiency and maintenance activities. The proposed uncertainty-based inspection framework can help bridge owners avoid unnecessary or delayed inspections and repair actions, determine the inspection method, and consider more than one deterioration process or bridge component during the inspection planning process. The inspection time and method are determined based on the uncertainty and risks associated with the bridge condition. As uncertainty in the bridge condition reaches a defined threshold, an inspection is scheduled utilizing nondestructive techniques to reduce the uncertainty level. The framework was demonstrated on a new and on an existing reinforced concrete bridge deck impacted by corrosion deterioration. The results showed that the framework can reduce the number of inspections compared to conventional scheduling methods, while also reducing the uncertainty regarding the transition in the bridge deck condition and repair time. As identified through the first study, over the last two decades many researchers have focused on providing new ideas to improve conventional bridge inspection practices, however, little guidance is provided for implementing these new research products in practice. This, along with resistance to change and complexity of the proposed ideas, resulted in a lack of consistency and success in applying new technologies in bridge inspection programs across state departments of transportation (DOTs). Accordingly, the third paper presents a qualitative study set out to identify the factors that can help improve research products and accelerate change and research transfer in bridge inspection departments. This study used semi-structured interviews, written interviews, and questionnaires for data collection and engaged with twenty-six bridge staff members from different DOTs. The findings of this study are expected to be both specific to changes in bridge inspection practice and have some generalizability to other significant changes to engineering practice at DOTs. To improve research products, this study suggested that researchers need to collaborate more with DOT staff members and provide relevant research products that are not specific to certain bridge cases and can be applied on different bridges. Also, to facilitate change in transportation organizations, change leaders should focus on showing the need for change, gaining support from the FHWA, allocating the required resources, and enhancing the capacity of DOT staff members through training and effective communication. The investigation also presented participants' opinions on some of the aspects related to conventional inspection practices such as their support of a uniform inspection interval over a variable interval, and the main barriers limiting the use of NDE methods. This study contributes to the body of knowledge in the bridge inspection field by providing a new inspection planning approach that depends on the uncertainty and the risks associated with the bridge condition and uses both computational methods and expert judgment allowing bridge owners select inspection time and method while considering more than one deterioration process or bridge element. In addition, this study presents some of the factors that can help reduce the gap between research and practice and facilitate innovation and change in transportation organizations

2022 Research Report: R1 Global Impact - Local Relevance

We are delighted to present the 2022 Research Report for the University of Maine. This year marked the realization of a historic accomplishment by Maine’s land, sea, and space grant university. In January 2022, UMaine ascended to the highest tier of national research universities by earning a Carnegie R1 classification and joining the ranks of the nation’s top doctoral universities with very high research activity. The R1 designation is a well-recognized standard of excellence for top-tier research universities. Earning it is a significant endorsement of UMaine’s advancement as a premier modern 21st-century research university, with nationally and internationally recognized programs of global impact and local relevance that address the workforce needs and advance the social and economic development of Maine and beyond. It comes on the heels of the university’s research enterprise for the third consecutive year achieving all-time high record levels in growth and impact, as measured by multiple indicators, including R&D funding and graduate enrollment

Consensus Confererence on Autonomous Vehicles: Case Study

Library Student Mini Grant Award Year: 2017-2018https://deepblue.lib.umich.edu/bitstream/2027.42/146527/1/CCAVCaseStudy.pd

Success factors for implementation of novel decentralized diagnostics: How publicly funded multidisciplinary innovation networks can disrupt German Healthcare

Mobile diagnostics – or mobile health in general – is highly appealing, not only for clinicians, but also for patients. It implies empowerment, in particular of those who are really in need, such as inhabitants of less developed regions within the world who have limited access to healthcare. It also implies simplification: Easy data management – a continuous flow of information. Therefore, development of miniaturized and highly integrated diagnostic systems allowing near patient “instant” diagnostics gain a lot of momentum since more than a decade. However, system integration requires time and a significant amount of investment. In addition, there is strong competition on resources from other emergent technologies, such as next generation sequencing which made the collection of e.g. human genome data less expensive and much faster. A more severe challenge is that mobile diagnostics require a change in healthcare management, e.g. towards integrated practice units. This, in turn, requires implementation of adequate reimbursement, standards of interoperability, training of staff, quality control. In 2010, Germany’s Federal Ministry of Education and Research (BMBF) launched the grant initiative Mobile Diagnostic Systems (MD, 2011─2015) as part of its high-tech strategy. MD aimed at generating knowledge on how microsystem technologies fit into German healthcare environments. On the basis of interviews with multidisciplinary MD actors, this thesis evaluated retrospectively how the publicly funded innovation network managed to overcome pre-defined external barriers of diffusion, including technology, regulatory affairs and market access. Retrospectives reveal internal barriers involving knowledge and technology transfer, negatively influencing generation of innovation. In particular, financing still represents a high hurdle for biotech innovators in Germany: Larger firms look predominately for market-ready or in-market technologies rather than prototypes and venture capitalists are rare or extremely risk-averse. Another important finding was, that actors involved were highly focused on individual work packages. This risks of not seeing the whole environment embedding MD. Consequently, potential opportunities may be missed, e.g. synergies with relatively close (DIALOC) or more distant initiatives (Global Health Delivery Project-based discussion rounds). This could be partly due to the fact that publicly funded networking activities provide less freedom-to-operate because of pre-defined milestones. In addition, further development of actors with respect to role playing (e.g. boundary spanning or innovation selling) is often not included in such “innovation packages”, but can help to maneuver change. Internal barriers need to be addressed first before targeting the major remaining external hurdle: Reimbursement. Although the latter was covered within MD, standardization of technology evaluation is still an unmet need which strongly influences the willingness-to-implement novel mobile diagnostics. Thus, the value added is to be demonstrated to justify adequate reimbursement. Achieving this goal can be successful, when innovation networking finds its path towards a common vision, e.g. towards value-based integrated healthcare. Pathfinding and visioning can be facilitated by process promoter with excellent network management capabilities. In addition, such a promoter could help to further develop engagement, openness and commitment of collaborators. Therefore, transfer of MD activities to established “top” networks or clusters is recommended for securing valuable knowledge generated. In this environment, an important next step – globalization of MD for ensuring future return on investment – could be triggered as well. Since MD innovation was found to involve both product and service innovation, maneuvering change is particularly challenging for small and medium sized enterprises. These could benefit from engagement in innovation networking. Findings of this case study can help all direct and indirect actors in the field of MD innovation or in other high complex environments to reconsider pathfinding as well as role playing in networking