A5036287815- Language, Linguistics, Cultural Analysis
- Climate Change Policy and Economics
- Research, Science, and Academia
- Global Energy and Sustainability Research
- Hybrid Renewable Energy Systems
- African Studies and Geopolitics
- African history and culture analysis
- Entrepreneurship Studies and Influences
- Electric Vehicles and Infrastructure
- Political Economy and Marxism
- American Constitutional Law and Politics
- Hispanic-African Historical Relations
- AI-based Problem Solving and Planning
- Migration, Ethnicity, and Economy
- Multiculturalism, Politics, Migration, Gender
- Innovation Policy and R&D
- Economic Theory and Institutions
- Energy, Environment, and Transportation Policies
- Historical Studies of Medieval Iberia
- Archaeology and Historical Studies
- Political Influence and Corporate Strategies
- Islamic Studies and History
- Political and Economic history of UK and US
- Fuel Cells and Related Materials
- Private Equity and Venture Capital
George Mason University
2009-2023
Sandia National Laboratories California
2023
Indianapolis Zoo
2017
Imperial College London
1979-2009
In-Q-Tel
2002-2007
UK Energy Research Centre
2000-2004
University of California, Irvine
2002-2004
John F. Kennedy University
1998-2004
Harvard University
1998-2004
University of Massachusetts Amherst
1989-2004
In recent years, there has been an explosion of interest in mining time-series databases. As with most computer science problems, representation the data is key to efficient and effective solutions. One commonly used representations piecewise linear approximation. This by various researchers support clustering, classification, indexing association rule data. A variety algorithms have proposed obtain this representation, several having independently rediscovered times. paper, we undertake...
1 Introduction Time series are a ubiquitous form of data occurring in virtually every scientific discipline and business application. There has been much recent work on adapting mining algorithms to time databases. For example, Das et al. attempt show how association rules can be learned from [7]. Debregeas Hebrail [8] demonstrate technique for scaling up clustering massive datasets. Keogh Pazzani introduced new, scalable classification algorithm [16]. Almost all that operate need compute...
This article reports the results of a national survey that estimates rate immigrant entrepreneurship in representative sample high-impact firms high-technology industries United States. The authors report key descriptive statistics about companies and their founders. About 16% sample, for instance, number at least one entrepreneur among founding teams, while 77% entrepreneurs are U.S. citizens. Three multivariate analyses carried out compare high-impact, high-tech count teams with those were...
Phoenix is a real-time, adaptive planner that manages forest fires in simulated environment. Alternatively, search for functional relationships between the designs of agents, their behaviors, and environments which they work. In fact, both characterizations are appropriate together exemplify research methodology emphasizes complex, dynamic complete, autonomous agents. Within system, we empirically explore constraints environment places on design intelligent This article describes underlying...
▪ Abstract Individual companies are neglected in American politics scholarship, despite their empirical and normative significance. Interest group theory does not provide an adequate framework for understanding them. Neoclassical microeconomic has begun to be developed political analysis, but its assumptions restrict the scope of utility. Cyert & March's (1992) “behavioral firm” provides a more promising foundation, one that dovetails with historical institutional tradition science....
This article employs Heckman selection models to explore the determinants of corporate PAC formation and size how these have changed over time. While findings suggest that high-tech firms use PACs seek rents from government, internal organizational politics influence their behavior as well. I also find effect some independent variables, including firm size, susceptibility regulation, R&D spending, significantly two-decade span encompassed in data, peaking mid-1980s. The quantitative analysis...
This paper presents a case study of the role scientific élites in mediating between science and politics, securing support for research shaping interests rank file. We apply `garbage can' model, which posits that science, policy politics typically evolve separate, unconnected streams, each with its own momentum. In this may act strategically as `policy entrepreneurs' to take advantage occasional temporary opportunities, or `windows', influence streams. Our is US toward related Greenhouse...
PrefaceAbbreviationsCh. 1The Malleability of American Liberalism and the Making Public Policy3Ch. 2The Republican Ascendancy Crash: Associative Undercurrents in a Conservative Era, 1921-193230Ch. 3Trial Error: Science, Technology, Economic Policy First Roosevelt Administration, 1933-193662Ch. 4Breaking Bottlenecks Blockades: The Heyday Reform Liberalism, 1937-1940, Its Postwar Consequences83Ch. 5Old Fights, New Accommodations: Wartime Experiments Demise 1940-1945117Ch. 6Groping toward...
No abstract available.