Science and Engineering Labor Force

[Excerpt] Like most developed economies, the United States increasingly depends on a technically skilled workforce, including scientists and engineers. Workers for whom knowledge and skill in S&E are central to their jobs have an effect on the economy and the wider society that is disproportionate to their numbers: they contribute to research and development, increased knowledge, technological innovation, and economic growth. Moreover, the knowledge and skills associated with science and engineering have diffused across occupations and become more important in jobs that are not traditionally associated with S&E

RAPID: A regional plan to rescue the orphaned University of Louisiana Monroe Fish Collection

Award to enable the rescue of the orphaned Fish Collection of the University of Louisiana Monroe by a consortium of other regional fish collectionsNational Science FoundationIntegrative Biolog

How home country weaknesses can constrain EMNE growth: the example of India

This paper discusses the opportunities and limitations that the location-specific (L) assets of the home country represent for MNEs, particularly at the early stages of internationalization. The systemic weaknesses of the home country can constrain the long-term competitiveness of its firms, and ultimately, the competitiveness of its MNEs. It is the contention of this paper that many of the emerging countries have a constrained set of L assets from which their firms are able to develop ownership-specific assets. Are their economies developing improved L assets that will promote a new generation of EMNEs? We examine data for the case of India, an economy regarded as having considerable potential to expand to knowledge-intensive sectors. At the macro level, India’s performance is not different from countries of similar economic structure, and its current pockets of excellence are a reflection of its L assets. Our analysis suggests that the failure to foster and upgrade the L assets of emerging economies is likely to stunt the growth of their domestic firms, and ultimately any new MNE activity in the long-term

Asymptotic properties of stochastic population dynamics

In this paper we stochastically perturb the classical Lotka{Volterra model x_ (t) = diag(x1(t); ; xn(t))[b + Ax(t)] into the stochastic dierential equation dx(t) = diag(x1(t); ; xn(t))[(b + Ax(t))dt + dw(t)]: The main aim is to study the asymptotic properties of the solution. It is known (see e.g. [3, 20]) if the noise is too large then the population may become extinct with probability one. Our main aim here is to nd out what happens if the noise is relatively small. In this paper we will establish some new asymptotic properties for the moments as well as for the sample paths of the solution. In particular, we will discuss the limit of the average in time of the sample paths

Noise suppresses or expresses exponential growth

In this paper we will show that noise can make a given system whose solutions grow exponentially become a new system whose solutions will grow at most polynomially. On the other hand, we will also show that noise can make a given system whose solutions are bounded become a new system whose solutions will grow exponentially. In other words, we reveal that the noise can suppress or expresses exponential growth

Atoll research bulletin

no.509-530 (2004

Atoll research bulletin

no.495 (2002

Atoll research bulletin.

no.531-542 (2005