Human genome and open source: balancing ethics and business.

The Human Genome Project has been completed thanks to a massive use of computer techniques, as well as the adoption of the open-source business and research model by the scientists involved. This model won over the proprietary model and allowed a quick propagation and feedback of research results among peers. In this paper, the author will analyse some ethical and legal issues emerging by the use of such computer model in the Human Genome property rights. The author will argue that the Open Source is the best business model, as it is able to balance business and human rights perspectives.

When speed truly matters, openness is the answer.

In this paper I analyse the ethical implications of the two main competing methodologies in genomic research. I do not aim to provide another contribution from the mainstream legal and public policy perspective; rather I offer a novel approach in which I analyse and describe the patent-and-publish regime (the proprietary regime) led by biologist J. Craig Venter and the 'open-source' methodologies led by biotechnology Nobel laureate John Sulston. The 'open-source methodologies' arose in biotechnology as an alternative to the patent-and-publish regime in the wake of the explosion in computer technology. Indeed, the tremendous increase in computer technology has generated a corresponding increase in the pace of genomics research. I conclude this paper by arguing that while the patent-and-publish method is a transactional method based on the exchange of extrinsic goods (patents in exchange for research funds), the free and open-source methodology (FLOSS) is a transformational method based on a visionary ideal of science, which leads to prioritizing intrinsic goods in scientific research over extrinsic goods.

How the role of computing is driving new genetics' public policy.

In this paper we will examine some ethical aspects of the role that computers and computing increasingly play in new genetics. Our claim is that there is no new genetics without computer science. Computer science is important for the new genetics on two levels: (1) from a theoretical perspective, and (2) from the point of view of geneticists practice. With respect to (1), the new genetics is fully impregnate with concepts that are basic for computer science. Regarding (2), recent developments in the Human Genome Project (HGP) have shown that computers shape the practices of molecular genetics; an important example is the Shotgun Method's contribution to accelerating the mapping of the human genome. A new challenge to the HGP is provided by the Open Source Philosophy (I computer science), which is another way computer technologies now influence the shaping of public policy debates involving genomics.