In spite of being ubiquitous in life sciences, the concept of information is harshly criticized. Uses of the concept other than those derived from Shannon's theory are denounced as pernicious metaphors. We perform a computational experiment to explore whether Shannon's information is adequate to describe the uses of said concept in commonplace scientific practice. Our results show that semantic sequences do not have unique complexity values different from the value of meaningless sequences. This result suggests that quantitative theoretical frameworks do (...) not account fully for the complex phenomenon that the term “information” refers to. We propose a restructuring of the concept into two related, but independent notions, and conclude that a complete theory of biological information must account completely not only for both notions, but also for the relationship between them. (shrink)

The current crises put before us alternatives of action that require decision; for example, the decision of whether to deploy or investigate SRM geoengineering to counter global warming, which is here taken as the central example. Attending to the ontological richness of value in the elements of the world, of which scientific models and thought are a very particular and limited kind, can cast a different light into the decision process, which otherwise would almost unavoidably devolve into “infernal alternatives,” as (...) Isabelle Stengers calls them: impossible choices between two evils. (shrink)

The concept of biological information, and information in general, usually presupposes a purely quantitative view of reality. Even though actualist quantification has an important place in the description of the world, a nominalistic stance that tries to simplify reality in purely actualist terms inevitably runs into inconsistencies; these inconsistencies have been pointed out by the critical assessments of the notion of biological information. Rather than calling for an abandonment of the informational terminology, we try to rethink information as a part (...) of an event, the description of which cannot be exhausted by a physicalist, mechanistic, temporally static view of reality. Reconceptualizing the notion of biological information in terms of a process of interpretation rather than as an informational object allows us to transcend the limitations imposed by an analysis of reality that depends on a fixed, finite structure of outcome. Thus, we argue that measuring biological information is intrinsically problematic. (shrink)