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Community Organizations Center for Open Science
Center for Open Science
Center for Open Science
Acronym
COS
Non Governmental organization

Location

Center for Open Science
210 Ridge McIntire Road
Suite 500
2903-5083
Charlottesville
Virginia
United States
Working languages
anglais

Our mission is to increase openness, integrity, and reproducibility of research.


These are core values of scholarship and practicing them is presumed to increase the efficiency of acquiring knowledge.


For COS to achieve our mission, we must drive change in the culture and incentives that drive researchers’ behavior, the infrastructure that supports their research, and the business models that dominate scholarly communication.


This culture change requires simultaneous movement by funders, institutions, researchers, and service providers across national and disciplinary boundaries. Despite this, the vision is achievable because openness, integrity, and reproducibility are shared values, the technological capacity is available, and alternative sustainable business models exist.


COS's philosophy and motivation is summarized in its strategic plan and in scholarly articles outlining a vision of scientific utopia for research communication and research practices.


Because of our generous funders and outstanding partners, we are able to produce entirely free and open-source products and services. Use the header above to explore the team, services, and communities that make COS possible and productive.

Members:

Resources

Displaying 421 - 425 of 447

Land Cover Mapping Using Ensemble Feature Selection Methods

Reports & Research
Novembre, 2008
Norway

Ensemble classification is an emerging approach to land cover mapping whereby the final classification output is a result of a consensus of classifiers. Intuitively, an ensemble system should consist of base classifiers which are diverse i.e. classifiers whose decision boundaries err differently. In this paper ensemble feature selection is used to impose diversity in ensembles. The features of the constituent base classifiers for each ensemble were created through an exhaustive search algorithm using different separability indices.

MODEL TREE: AN APPLICATION IN REAL ESTATE APPRAISAL

Reports & Research
Novembre, 2008
Global

In the last twenty years in real estate appraisal there has been a growing interest for new and reliable assessment techniques essentially through the introduction of pluriparametric estimate, in particular of linear regression. However, also these techniques seem having not a great deal of adherence to very complex markets, for which the detection of best suited techniques to investigate market segments is necessary.

DIRECT PAYMENTS AND THEIR IMPACT ON THE LAND MARKET IN POLAND

Reports & Research
Novembre, 2008
Poland
United States of America

The article makes an attempt to answer the question: how direct payments affected the land market in Poland? The first part of the article explains the theoretical aspects of direct payments as an instrument of agricultural policy and their prospective effectiveness. Also the special character of the solutions adopted by Poland in relation with the use of this instrument was shown. The second part presents the main problems of the land market in Poland, taking into account both the supply and the demand factors of this market.

Gendered Impact of Irrigated Rice Schemes’ Governance on Farmers’ Income, Productivity and Technical Efficiency in Benin

Reports & Research
Octobre, 2008
Benin

Collective actions groups have many advantages and are sometimes essential, yet they can reinforce or perpetuate inter-and intra-gender inequalities when their functioning is left entirely subject to internal community dynamics and they are not well managed. This is well illustrated by the case of Koussin-Lélé rice scheme in the central Benin.

Nepal's Community Forestry Funds: Do They Benefit the Poor?

Reports & Research
Mars, 2008
Nepal

Funds generated through community forestry offer crucial and significant resources for rural in Nepal. This study examines forestry funds in 100 communities in three districts to assess how large they are and how they are utilized. The study finds that the income from community funds increases local development resources by about 25%. This income is invested in schools, temples, roads, and water reservoirs, which bodes well for rural development.