A Roadmap for Strengthening International Collaboration in Research and Innovation under Horizon 2020. EU Center Singapore Background Brief No. 9, May 2013

This  background  brief  looks  into  the  new  research  and  innovation  strategy  introduced  by  the  European  Union  embodied in the Horizon 2020 funding programme. It focuses  on the  prospect  for  international  collaboration  in  Horizon  2020, and presents a roadmap for both European institutions  and  those  from  key  third  countries  to  get  ready  for  the  opportunities provided by this funding instrument to embark  on interesting research and innovation. The brief begins by  outlining the efforts by the EU to address issues of economic  competitiveness with a new growth strategy Europe 2020 in  response to the enormous challenges faced by Europe in the  midst of the debt  crisis. It looks at the introduction of the  Innovation Union  as  a  Europe 2020  initiative,  and  explains  how the  new  financial  instrument,  Horizon  2020,  may  be  used to support the primary goals   of more jobs, improved  lives,  better  society  and  the  global  competitiveness  of  Europe.  The  brief  also  outlines  the  major  differences  of  Horizon 2020 from the previous framework programmes, and  recommends close collaboration between the European and  the key third countries. The brief also proposes general and  priority‐specific  strategies  for  national  research  councils,  universities  and  research  institution  to  get  ready  to  participate in the Horizon 2020 programme.  

Is Horizon 2020 really more SME-friendly? A look at the figures. CEPS Commentary, 17 February 2016

Small- and medium-sized enterprises (SMEs) play a key role in the EU economy.[1] According to the latest “SME performance review” published by the European Commission,[2] in 2014 there were 22 million SMEs active in the non-financial business sectors, generating more than €3.7 trillion in added value and employing approximately 90 million people. SMEs’ contribution to the European economy becomes even more apparent if one considers that 99 out of every 100 enterprises active in the EU non-financial economy are SMEs, and that these firms account for about 67% of the total employment and some 60% of the overall added value produced in Europe. Against this background, enhancing the competitiveness of European SMEs is essential in order to foster the competitiveness of the EU economy as a whole. And since the competitiveness of European SMEs in the global arena largely depends on their ability to innovate,[3] unlocking the innovation potential of SMEs becomes pivotal to fostering growth and jobs in Europe.

Beyond the horizon : using foresight to protect the environmental future /

Mode of access: Internet.

Pursuit of the horizon, a life of George Catlin, painter & recorder of the American Indian.

Mode of access: Internet.

L'horizon chimérique. op. 118.

Mode of access: Internet.

Within my horizon,

Mode of access: Internet.

Recherches sur les réfractions extraordinaires qui ont lieu près de l'horizon,

Mode of access: Internet.

Sous l'horizon; hommes et choses d'hier.

Mode of access: Internet.

Searching the horizon : a history of the Ames Research Center, 1940-1976 /

Includes index.

Future long-horizon performance measurement conditional on past survival

This paper examines the measurement of long-horizon abnormal performance when stock selection is conditional on an extended period of past survival. Filtering on survival results in a sample driven towards more-established, frequently traded stocks and this has implications for the choice of benchmark used in performance measurement (especially in the presence of the well-documented size effect). A simulation study is conducted to document the properties of commonly employed performance measures conditional on past survival. The results suggest that the popular index benchmarks used in long-horizon event studies are severely biased and yield test statistics that are badly misspecified. In contrast, a matched-stock benchmark based on size and industry performs consistently well. Also, an eligible-stock index designed to mitigate the influence of the size effect proves effective.

Anisotropy-based robust performance analysis of finite horizon linear discrete time varying systems

We consider a problem of robust performance analysis of linear discrete time varying systems on a bounded time interval. The system is represented in the state-space form. It is driven by a random input disturbance with imprecisely known probability distribution; this distributional uncertainty is described in terms of entropy. The worst-case performance of the system is quantified by its a-anisotropic norm. Computing the anisotropic norm is reduced to solving a set of difference Riccati and Lyapunov equations and a special form equation.