Megaprojects in the sciences : a report /

"John McTague, chairman [of] Megaprojects in the Sciences Panel"--P. vi.

Supporting Scientific Research Through Machine and Deep Learning: Fluorescence Microscopy and Operational Intelligence Use Cases

Although the debate of what data science is has a long history and has not reached a complete consensus yet, Data Science can be summarized as the process of learning from data. Guided by the above vision, this thesis presents two independent data science projects developed in the scope of multidisciplinary applied research. The first part analyzes fluorescence microscopy images typically produced in life science experiments, where the objective is to count how many marked neuronal cells are present in each image. Aiming to automate the task for supporting research in the area, we propose a neural network architecture tuned specifically for this use case, cell ResUnet (c-ResUnet), and discuss the impact of alternative training strategies in overcoming particular challenges of our data. The approach provides good results in terms of both detection and counting, showing performance comparable to the interpretation of human operators. As a meaningful addition, we release the pre-trained model and the Fluorescent Neuronal Cells dataset collecting pixel-level annotations of where neuronal cells are located. In this way, we hope to help future research in the area and foster innovative methodologies for tackling similar problems. The second part deals with the problem of distributed data management in the context of LHC experiments, with a focus on supporting ATLAS operations concerning data transfer failures. In particular, we analyze error messages produced by failed transfers and propose a Machine Learning pipeline that leverages the word2vec language model and K-means clustering. This provides groups of similar errors that are presented to human operators as suggestions of potential issues to investigate. The approach is demonstrated on one full day of data, showing promising ability in understanding the message content and providing meaningful groupings, in line with previously reported incidents by human operators.

Massive Open Online Course management: learning science and engineering through peer-reviewed projects

Massive Open Online Courses (MOOC) are gaining prominence in transversal teaching-learning strategies. However, there are many issues still debated, namely assessment, recognized largely as a cornerstone in Education. The large number of students involved requires a redefinition of strategies that often use approaches based on tasks or challenging projects. In these conditions and due to this approach, assessment is made through peer-reviewed assignments and quizzes online. The peer-reviewed assignments are often based upon sample answers or topics, which guide the student in the task of evaluating peers. This chapter analyzes the grading and evaluation in MOOCs, especially in science and engineering courses, within the context of education and grading methodologies and discusses possible perspectives to pursue grading quality in massive e-learning courses.

The science teacher's activity-a-day: over 180 reproducible pages of kick, fun projects that illustrate basic concepts.

Recurso para enseñar ciencias a los estudiantes de secundaria. Cada una de las ciento ochenta actividades tiene una duración de cinco minutos y están pensadas para captar la atención del alumno. Comienza con una breve explicación del concepto sobre el que se va a centrar e incluye una lista de materiales, el procedimiento a seguir, las preguntas de seguimiento, y las ampliaciones. Dividido en tres unidades: Ciencias Físicas, Ciencias de la Vida, y Ciencias de la Tierra y del Universo, las actividades son especialmente estimulantes para alumnos kinestésicos, ya que la mayoría de estos alumnos aprenden mejor al estar físicamente en contacto con la experiencia de aprendizaje. Todas deben estar supervisadas por un adulto y los estudiantes seguir las reglas de seguridad de de las clases de ciencias.

Save the Earth science experiments: science fair projects for eco-kids.

Ofrece una gran cantidad de ideas para que los niños obtengan el conocimiento necesario para entender lo que está pasando en el planeta Tierra y tengan el deseo de hacer algo ecológico todos los días. El recurso se divide en cinco capítulos. En el primer capítulo se ayuda paso a paso en los detalles para hacer un proyecto de ciencias y asegurar el éxito del resultado final. Los cuatro capítulos restantes presentan más de veinte experimentos diferentes relacionados con los temas ambientales de hoy.

Amazing science experiments : 150 easy projects using everyday materials, demostrated step by step in 1300 photographs.

Colección de ciento cincuenta experimentos que explican hechos y procesos científicos, y demuestran cómo funcionan las máquinas. Cada experimento se introduce, describe y explica, y esta información no sólo permite al usuario trabajar con confianza, sino que también proporciona una gran cantidad de conocimiento científico adicional para los niños de ocho a doce años. Dividido en cuatro secciones, cada una explora con un tema cotidiano diversas áreas especializadas de la ciencia: nuestra tierra inquieta, maravillas naturales cerca de casa, maravillas físicas y materiales, viajes y transporte.

Analysis of science and technology projects

Presenta una lista, ordenada por categorias, de los proyectos y programas de las agencias que auspician las actividades en ciencia y tecnologia en el Caribe, incluyendo los fondos en dolares aprobados para cada uno de ellos.

Analysis and visualization of the dynamics of research groups in terms of projects and co-authored publications : A case study of library and information science in Argentina

Objective: The present study offers a novel methodological contribution to the study of the configuration and dynamics of research groups, through a comparative perspective of the projects funded (inputs) and publication co-authorships (output). Method: A combination of bibliometric techniques and social network analysis was applied to a case study: the Departmento de Bibliotecología (DHUBI), Universidad Nacional de La Plata, Argentina, for the period 2000-2009. The results were interpreted statistically and staff members of the department, were interviewed. Results: The method makes it possible to distinguish groups, identify their members and reflect group make-up through an analytical strategy that involves the categorization of actors and the interdisciplinary and national or international projection of the networks that they configure. The integration of these two aspects (input and output) at different points in time over the analyzed period leads to inferences about group profiles and the roles of actors. Conclusions: The methodology presented is conducive to micro-level interpretations in a given area of study, regarding individual researchers or research groups. Because the comparative input-output analysis broadens the base of information and makes it possible to follow up, over time, individual and group trends, it may prove very useful for the management, promotion and evaluation of science

Analysis and visualization of the dynamics of research groups in terms of projects and co-authored publications : A case study of library and information science in Argentina

Objective: The present study offers a novel methodological contribution to the study of the configuration and dynamics of research groups, through a comparative perspective of the projects funded (inputs) and publication co-authorships (output). Method: A combination of bibliometric techniques and social network analysis was applied to a case study: the Departmento de Bibliotecología (DHUBI), Universidad Nacional de La Plata, Argentina, for the period 2000-2009. The results were interpreted statistically and staff members of the department, were interviewed. Results: The method makes it possible to distinguish groups, identify their members and reflect group make-up through an analytical strategy that involves the categorization of actors and the interdisciplinary and national or international projection of the networks that they configure. The integration of these two aspects (input and output) at different points in time over the analyzed period leads to inferences about group profiles and the roles of actors. Conclusions: The methodology presented is conducive to micro-level interpretations in a given area of study, regarding individual researchers or research groups. Because the comparative input-output analysis broadens the base of information and makes it possible to follow up, over time, individual and group trends, it may prove very useful for the management, promotion and evaluation of science

Analysis and visualization of the dynamics of research groups in terms of projects and co-authored publications : A case study of library and information science in Argentina

Objective: The present study offers a novel methodological contribution to the study of the configuration and dynamics of research groups, through a comparative perspective of the projects funded (inputs) and publication co-authorships (output). Method: A combination of bibliometric techniques and social network analysis was applied to a case study: the Departmento de Bibliotecología (DHUBI), Universidad Nacional de La Plata, Argentina, for the period 2000-2009. The results were interpreted statistically and staff members of the department, were interviewed. Results: The method makes it possible to distinguish groups, identify their members and reflect group make-up through an analytical strategy that involves the categorization of actors and the interdisciplinary and national or international projection of the networks that they configure. The integration of these two aspects (input and output) at different points in time over the analyzed period leads to inferences about group profiles and the roles of actors. Conclusions: The methodology presented is conducive to micro-level interpretations in a given area of study, regarding individual researchers or research groups. Because the comparative input-output analysis broadens the base of information and makes it possible to follow up, over time, individual and group trends, it may prove very useful for the management, promotion and evaluation of science