From Data to Software to Science with the Rubin Observatory LSST

The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the nature of dark matter and dark energy. Much of this research will depend on the existence of robust, tested, and scalable algorithms, software, and services. Identifying and developing such tools ahead of time has the potential to significantly accelerate the delivery of early science from LSST. Developing these collaboratively, and making them broadly available, can enable more inclusive and equitable collaboration on LSST science. To facilitate such opportunities, a community workshop entitled "From Data to Software to Science with the Rubin Observatory LSST" was organized by the LSST Interdisciplinary Network for Collaboration and Computing (LINCC) and partners, and held at the Flatiron Institute in New York, March 28-30th 2022. The workshop included over 50 in-person attendees invited from over 300 applications. It identified seven key software areas of need: (i) scalable cross-matching and distributed joining of catalogs, (ii) robust photometric redshift determination, (iii) software for determination of selection functions, (iv) frameworks for scalable time-series analyses, (v) services for image access and reprocessing at scale, (vi) object image access (cutouts) and analysis at scale, and (vii) scalable job execution systems. This white paper summarizes the discussions of this workshop. It considers the motivating science use cases, identified cross-cutting algorithms, software, and services, their high-level technical specifications, and the principles of inclusive collaborations needed to develop them. We provide it as a useful roadmap of needs, as well as to spur action and collaboration between groups and individuals looking to develop reusable software for early LSST science.Comment: White paper from "From Data to Software to Science with the Rubin Observatory LSST" worksho

From Data to Software to Science with the Rubin Observatory LSST

editorial reviewedThe Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the nature of dark matter and dark energy. Much of this research will depend on the existence of robust, tested, and scalable algorithms, software, and services. Identifying and developing such tools ahead of time has the potential to significantly accelerate the delivery of early science from LSST. Developing these collaboratively, and making them broadly available, can enable more inclusive and equitable collaboration on LSST science. To facilitate such opportunities, a community workshop entitled "From Data to Software to Science with the Rubin Observatory LSST" was organized by the LSST Interdisciplinary Network for Collaboration and Computing (LINCC) and partners, and held at the Flatiron Institute in New York, March 28-30th 2022. The workshop included over 50 in-person attendees invited from over 300 applications. It identified seven key software areas of need: (i) scalable cross-matching and distributed joining of catalogs, (ii) robust photometric redshift determination, (iii) software for determination of selection functions, (iv) frameworks for scalable time-series analyses, (v) services for image access and reprocessing at scale, (vi) object image access (cutouts) and analysis at scale, and (vii) scalable job execution systems. This white paper summarizes the discussions of this workshop. It considers the motivating science use cases, identified cross-cutting algorithms, software, and services, their high-level technical specifications, and the principles of inclusive collaborations needed to develop them. We provide it as a useful roadmap of needs, as well as to spur action and collaboration between groups and individuals looking to develop reusable software for early LSST science

Innovative Ecosystem Model of Vaccine Lifecycle Management

The COVID-19 pandemic has severely tested humanity, revealing the need to develop and improve the medical, economic, managerial, and IT components of vaccine management systems. The vaccine lifecycle includes vaccine research and development, production, distribution, and vaccination of the population. To manage this cycle effectively the proper organizational and IT support model of the interaction of vaccine lifecycle management stakeholders is needed—which are an innovation ecosystem and an appropriate virtual platform. A literature review has revealed the lack of methodological basis for the vaccine innovation ecosystem and virtual platform. This article is devoted to the development of a complex approach for the development of an innovation ecosystem based on vaccine lifecycle management and a virtual platform which provides the data exchange environment and IT support for the ecosystem stakeholders. The methodological foundation of the solution, developed in the article, is an enterprise architecture approach, CALS technologies, supply chain management and an open innovation philosophy. The results, presented in the article, are supposed to be a reference set of models for the creation of a vaccine innovation ecosystem, both during pandemics and periods of stable viral load

Investment Models for Enterprise Architecture (EA) and IT Architecture Projects within the Open Innovation Concept

Information technologies (IT) architecture and infrastructure is a significant cost item, especially for enterprises with complex production infrastructure and equipment that require automated and digital devices to collect and process primary data on technological and production processes. Most investment models for enterprise-wide development projects usually do not take into account the automation’s costs, including the design and implementation of information systems. The Enterprise Architecture (EA) paradigm has been proposed to bridge the gap between the business and the IT sector. The study aims to develop investment models for projects for the implementation and development of EA solutions, including IT architectures that eliminate the shortcomings of existing approaches. The research methodology is based on the analysis of published approaches to investment models for projects creating and developing EA, IT architectures with the identification of their advantages and limitations, and on the analysis of IT investment assessment practices in Russian infrastructure-intensive companies. As a result, investment and appraisal models are proposed that have advantages associated with the ability to calculate the effect of an integrated approach to the implementation of IT solutions, a more accurate calculation of an investment project cost by taking into account the IT system’s cost, a reduction in the investment cycle of development and implementation of architectural solutions, including physical and IT component

Public private partnership as city project management technology

The paper describes the principle of the public-private partnership as a mechanism for implementing infrastructure projects in cities as well as the forms of organization and financing options for such projects. The basic concepts of the public-private partnership are analyzed. The experience of implementing the public-private partnership in the framework of the project for the construction of the Moscow-Saint Petersburg interstate route is presented. The bottlenecks of the current practice of the public-private partnership were revealed. The purpose of this paper is to propose recommendations for improving the effectiveness of public-private partnership as a form of government-business relations in the Leningrad region based on an analysis of the model of public-private partnership in the region

Public private partnership as city project management technology

The paper describes the principle of the public-private partnership as a mechanism for implementing infrastructure projects in cities as well as the forms of organization and financing options for such projects. The basic concepts of the public-private partnership are analyzed. The experience of implementing the public-private partnership in the framework of the project for the construction of the Moscow-Saint Petersburg interstate route is presented. The bottlenecks of the current practice of the public-private partnership were revealed. The purpose of this paper is to propose recommendations for improving the effectiveness of public-private partnership as a form of government-business relations in the Leningrad region based on an analysis of the model of public-private partnership in the region

Problems of the preliminary customs informing system and the introduction of the Single Window at the sea check points of the Russian Federation

The Single Window concept in the international trade and logistics has been explored by international organizations and national governments over the last two decades. International standards and recommendations, government decisions on this approach are widespread today in both developed and developing countries. Similar decisions and legal acts were implemented during the last ten years by the Russian Federation, as a member of the Eurasian Economic Union. This article provides overview of the following coherent stage – the implementation of preliminary customs informing system at sea check points of the RF with concerns of the Single Window introduction

Management of port industrial complex development: environmental and project dimensions

Experience of the leading port industrial complexes indicated high socio-economic performance indicators. However, not every port becomes a basis for formation of a port industrial complex. In different countries, formation happens differently. According to the functional problems, Russian port industrial territories have a lack of development of managerial approaches to its formation and development. Overview of the development of Russian port industrial complexes shows that shortage of research on strategical management, including investment and institutional aspects, leads to an absence of methodological basis for engineering industrial port zones, as well as its strategical development. This requires detection of typical problems of the development of Russian and foreign port industrial complexes, definition of influencing factors, and systematization of managerial experience. During research process, methodology for system economic theory, which is best suited for a complicated territorial facility, was used. Such methodology considers interrelations among environmental, process, project, and object aspects. Namely, the problems of formation and development of port industrial complexes, as well as factors contributing to its growing potential, were identified and systematized in comparative order