2100 AI: Reflections on the mechanisation of scientific discovery

The pace of research is nowadays extremely intensive, with datasets and publications being published at an unprecedented rate. In this context data science, artificial intelligence, machine learning and big data analytics are providing researchers with new automatic techniques which not only help them to manage this flow of information but are also able to identify automatically interesting patterns and insights in this vast sea of information. However, the emergence of mechanised scientific discovery is likely to dramatically change the way we do science, thus introducing and amplifying serious societal implications on the role of researchers themselves, which need to be analysed thoroughly

Subject and Aesthetic Interface - an inquiry into transformed subjectivities

The present PhD-thesis seeks new definitions of human subjectivity in an age of technoscience and a networked, globalized, Information Society. The perspective presented relates to Philosophy of Science, which includes the Human, the Natural, the Social and the Life Sciences. The project is directed at addressing, and aims to participate in, the further development of Philosophy of Science, or rather, the philosophy of knowing, which leaves a perspective broader than that of science. Methodologically, I combine readings of technoetic artworks, which I approach from a hermeneutical-semiotic perspective, with transdisciplinary research into existing theory concerning the human subject. These readings form my case studies. I keep a particular focus on holistic biophysics (Mae Wan Ho, James Oschman, Marko Bischof). Furthermore, Søren Brier's cybersemiotic theory of communication, cognition and consciousness, which combines a cybernetic-autopoietic and a Peircean semiotic perspective, plays a central role in the project. The project has three parts. Part one contextualizes the study within philosophy of science. It discusses relevant epistemologies, and places the case studies in an art categorical context. It further discusses the philosophical problems involved in writing an academic thesis in the form of a linear, argumentative, critical style, and how it affects the process of meaning making in a way that has consequences to my research. The second part consists of four case studies, each under an overall theme, which applies to the question of human subjectivity. Here I build the concept Extended Sentience, and the concept of an Ideal User. The Ideal User functions as a conceptual frame, which allows me to gradually add more elements to a theory of an altered human subject and knower. The third part presents new ontologies under three basic themes: Time and Relativity, The Life Cycles of Metaphors, and Logos Philosophy and Virtual Grids. These ontologies strongly affect ways of interpretation made in part one and two. Part Three allows more space to my subjective thought processes, which will take precedence over the literature applied. Thus, I, as a post-objective subject observer, will become more transparent. Finally, I will seek an overall conclusion to the project, which should clarify areas where it is evident that the human subject must be reconsidered at a pre-scientific level. It is my thesis that the foundation for human knowledge generation is changing drastically today, and that it has become crucial to reconsider a common understanding of what constitutes the human knower

Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images

Scientists in the marine domain process satellite images in order to extract information that can be used for monitoring, understanding, and forecasting of marine phenomena, such as turbidity, algal blooms and oil spills. The growing need for effective retrieval of related information has motivated the adoption of semantically aware strategies on satellite images with different spatiotemporal and spectral characteristics. A big issue of these approaches is the lack of coincidence between the information that can be extracted from the visual data and the interpretation that the same data have for a user in a given situation. In this work, we bridge this semantic gap by connecting the quantitative elements of the Earth Observation satellite images with the qualitative information, modelling this knowledge in a marine phenomena ontology and developing a question answering mechanism based on natural language that enables the retrieval of the most appropriate data for each user’s needs. The main objective of the presented methodology is to realize the content-based search of Earth Observation images related to the marine application domain on an application-specific basis that can answer queries such as “Find oil spills that occurred this year in the Adriatic Sea”

Integrative biological simulation praxis: Considerations from physics, philosophy, and data/model curation practices

Integrative biological simulations have a varied and controversial history in the biological sciences. From computational models of organelles, cells, and simple organisms, to physiological models of tissues, organ systems, and ecosystems, a diverse array of biological systems have been the target of large-scale computational modeling efforts. Nonetheless, these research agendas have yet to prove decisively their value among the broader community of theoretical and experimental biologists. In this commentary, we examine a range of philosophical and practical issues relevant to understanding the potential of integrative simulations. We discuss the role of theory and modeling in different areas of physics and suggest that certain sub-disciplines of physics provide useful cultural analogies for imagining the future role of simulations in biological research. We examine philosophical issues related to modeling which consistently arise in discussions about integrative simulations and suggest a pragmatic viewpoint that balances a belief in philosophy with the recognition of the relative infancy of our state of philosophical understanding. Finally, we discuss community workflow and publication practices to allow research to be readily discoverable and amenable to incorporation into simulations. We argue that there are aligned incentives in widespread adoption of practices which will both advance the needs of integrative simulation efforts as well as other contemporary trends in the biological sciences, ranging from open science and data sharing to improving reproducibility.Comment: 10 page

Climatic and ecological change in the Americas : a perspective from historical ecology

This conclusion presents some closing thoughts on the concepts covered in the preceding chapters of this book. The book examines different climate change experiences across the Americas using historical ecology as a structuring framework for understanding climatic and environmental change across space and through time. It argues that the drier period accompanying the Medieval Climatic Anomaly most likely affected demographic and settlement patterns in Amazonian populations. The book also argues that climatic changes in the Maya region coincide with the emergence of permanent settlements and with an increase in landscape management, leading to substantial changes in forest composition. It then shows how Indigenous peoples in eastern North America prevented ecological changes associated with climatic impacts and preserved prairies and pyrophytic forests through ecological management that mimicked past climate conditions. The book uses the concept of "relational models" to analyze the spatio-temporal pattern of the Pewen landscape use in Argentina and Chile

Review:New sensors and data-driven approaches—A path to next generation phenomics

At the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of field applications provides new challenges and requires specialised solutions. There are many traits vital to plant growth and development that demand phenotyping approaches that are still at early stages of development or elude current capabilities. Further, there is growing interest in low-cost sensor solutions, and mobile platforms that can be transported to the experiments, rather than the experiment coming to the platform. Various types of sensors are required to address diverse needs with respect to targets, precision and ease of operation and readout. Converting data into knowledge, and ensuring that those data (and the appropriate metadata) are stored in such a way that they will be sensible and available to others now and for future analysis is also vital. Here we are proposing mechanisms for “next generation phenomics” based on our learning in the past decade, current practice and discussions at the IPPN Symposium, to encourage further thinking and collaboration by plant scientists, physicists and engineering experts

Life Cycle Costing and Food Systems: Concepts, Trends, and Challenges of Impact Valuation

Our global food systems create pervasive environmental, social, and health impacts. Impact valuation is an emerging concept that aims to quantify all environmental, social, and health costs of food systems in an attempt to make the true cost of food more transparent. It also is designed to facilitate the transformation of global food systems. The concept of impact valuation is emerging at the same time as, and partly as a response to, calls for the development of legal mechanisms to address environmental, social, and health concerns. Information has long been understood both as a necessary precursor for regulation and as a regulatory tool in and of itself. With global supply chains and widespread impacts, data necessary to produce robust and complete impact valuation requires participation and cooperation from a variety of food system actors. New costing methods, beyond basic accounting, are necessary to incorporate the scope of impacts and stakeholders. Furthermore, there are a range of unanswered questions surrounding realizations of impact valuation methods, e.g. data sharing, international privacy, corporate transparency, limitations on valuation itself, and data collection standardization. Because of the proliferation of calls for costing tools, this article steps back and assesses the current development of impact valuation methods. In this article, we review current methods and initiatives for the implementation of food system impact valuation. We conclude that in some instances, calls for the implementation of costing have outpaced available and reliable data collection and current costing techniques. Many existing initiatives are being developed without adequate consideration of the legal challenges that hinder implementation. Finally, we conclude with a reminder that although impact valuation tools are most often sought and implemented in service of market-based tools for reform, they can also serve as a basis for robust public policies

User friendly knowledge acquisition system for medical devices actuation

Dissertação para obtenção do Grau de Mestre em Engenharia BiomédicaInternet provides a new environment to develop a variety of applications. Hence, large amounts of data, increasing every day, are stored and transferred through the internet. These data are normally weakly structured making information disperse, uncorrelated, non-transparent and difficult to access and share. Semantic Web, proposed by theWorldWideWeb Consortium (W3C), addresses this problem by promoting semantic structured data, like ontologies, enabling machines to perform more work involved in finding, combining, and acting upon information on theWeb. Pursuing this vision, a Knowledge Acquisition System (KAS) was created, written in JavaScript using JavaScript Object Notation (JSON) as the data structure and JSON Schema to define that structure. It grants new ways to acquire and store knowledge semantically structured and human readable. Plus, structuring data with a Schema generates a software robust and error – free. A novel Human Computer Interaction (HCI) framework was constructed employing this KAS, allowing the end user to configure and control medical devices. To demonstrate the potential of this tool, we present the configuration and control of an electrostimulator. Nowadays, most of the software for Electrostimulation is made with specific purposes, and in some cases they have complicated user interfaces and large, bulky designs that deter usability and acceptability. The HCI concedes the opportunity to configure and control an electrostimulator that surpasses the specific use of several electrostimulator software. In the configuration the user is able to compile different types of electrical impulses (modes) in a temporal session, automating the control, making it simple and user-friendly