scholarly journals Cumulative, Collaborative, Disruptive Architectural geometry in research, practice, and its imminent mainstream future

Author(s):  
Vishu Bhooshan ◽  
Shajay Bhooshan

Solutions to the significant social, ecological and economic opportunities and problems of 21st century architecture and urbanism involve a vast number of variables. These solutions will require the use of data-driven technologies to acquire physical and social information of sites and consumer communities, digital technologies to design for the briefs so acquired and robotic manufacturing to deliver the designed solutions effectively.

2020 ◽  
Vol 36 (4) ◽  
pp. 1043-1055
Author(s):  
Gaby Umbach

This article1 offers reflections on the use of data as evidence in 21st century policy-making. It discusses the concept of evidence-informed policy-making (EIPM) as well as the governance and knowledge effects of data as evidence. With this focus, it interlinks the analysis of statistics and politics. The paper first introduces the concept of EIPM and the impact of evidence use. Here it focusses on science and knowledge as resources in policy-making, on the institutionalisation of science advice and on the translation of information and knowledge into evidence. The second part of the article reflects on data as evidence. This part concentrates on abstract and concrete functions of data as governance tools in policy-making, on data as a robust form of evidence and on the effects of data on knowledge and governance. The third part highlights challenges for data as evidence in policy-making, among them, politicisation, transparency, and diversity as well as objectivity and contestation. Finally, the last part draws conclusions on the production and use of data as evidence in EIPM. Throughout the second part of the reflections, reference is made to Walter Radermacher’s 2019 matrix of actors and activities related to data, facts, and policy published in this journal.


Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1310
Author(s):  
Pablo Torres ◽  
Soledad Le Clainche ◽  
Ricardo Vinuesa

Understanding the flow in urban environments is an increasingly relevant problem due to its significant impact on air quality and thermal effects in cities worldwide. In this review we provide an overview of efforts based on experiments and simulations to gain insight into this complex physical phenomenon. We highlight the relevance of coherent structures in urban flows, which are responsible for the pollutant-dispersion and thermal fields in the city. We also suggest a more widespread use of data-driven methods to characterize flow structures as a way to further understand the dynamics of urban flows, with the aim of tackling the important sustainability challenges associated with them. Artificial intelligence and urban flows should be combined into a new research line, where classical data-driven tools and machine-learning algorithms can shed light on the physical mechanisms associated with urban pollution.


Author(s):  
Iliya Ivanov ◽  

At the advent of the 21st century, digital technologies have changed the way that hotel industry brings value to tourists around the world. The aim of this scientific report is to present the opportunities and perspectives for hotel business for digital transformation, as a crucial instrument for the growth of the industry and for meeting the needs of the new digital generation of consumers. With its potential, digital transformation is reshaping the industry, giving strategic advantages to companies focused on digital transformation of the business.


Author(s):  
Alec Christian ◽  
Shang Jia ◽  
Patricia Zhang ◽  
Arismel Tena Meza ◽  
Matthew S. Sigman ◽  
...  

We report a data-driven, physical organic approach to the development of new methionine-selective bioconjugation reagents with tunable adduct stabilities. Statistical modeling of structural features described by intrinsic physical organic parameters was applied to the development of a predictive model and to gain insight into features driving stability of adducts formed from the chemoselective coupling of oxaziridine and methionine thioether partners through Redox Activated Chemical Tagging (ReACT). From these analyses, a correlation between sulfimide stabilities and sulfimide  (C=O) stretching frequencies was revealed. We ex-ploited the rational gains in adduct stability exposed by this analysis to achieve the design and synthesis of a bis-oxaziridine reagent for peptide stapling. Indeed, we observed that a macrocyclic peptide formed by ReACT stapling at methionine exhibited improved uptake into live cells compared to an unstapled congener, highlighting the potential utility of this unique chemical tool for thioether modification. This work provides a template for the broader use of data-driven approaches to bioconjugation chemistry and other chemical biology applications.


The Winners ◽  
2015 ◽  
Vol 16 (1) ◽  
pp. 57
Author(s):  
Mochamad Sandy Triady ◽  
Ami Fitri Utami

Billy Beanes’s success in using data-driven decision making in baseball industry is wonderfully written by Michael Lewis in Moneyball. As a general manager in baseball team that were in the bottom position of the league from the financial side to acquire the players, Beane, along with his partner, explored the use of data in choosing the team’s player. They figured out how to determine the worth of every player.The process was not smooth, due to the condition of baseball industry that was not common with using advanced statistic in acquiring   players. Many teams still use the old paradigm that rely on experts’ judgments, intuition, or experience in decision making process. Moneyball approached that using data-driven decision making gave excellent result for Beane’s team. The team won 20 gamessequently in the 2002 season and also spent the lowest cost per win than other teams.This paper attempts to review the principles of Moneyball – The Art of Winning an Unfair Game as a process of decision making and gives what we can learn from the story in order to win the games, the unfair games.


2020 ◽  
Vol 1 (2) ◽  
pp. 12-24
Author(s):  
Paolo Bongarzoni

As automation increasingly influences businesses, digitalization technologies and tools such as artificial intelligence, machine learning, etc., become essential to support the definition and implementation of strategy activities aimed at improving businesses' competitiveness in the digital, cloud-based, and data-driven world. Since this business growth corresponds to an enormous increase in the data volumes, it is fundamental for businesses to adopt several digital solutions in their strategy process together with a tailored digital strategy embedded in their strategic plan. The purpose of this article is to critically analyse the classic strategy activities' latest trends/needs and how they could be properly addressed by the available digital technologies. Finally, for every activity are mentioned some best practices tools and software, supported by management consultants, since they trigger a high return on investment in term of the time savings, less dedicated resources, and final business performance.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Lauren M. Little ◽  
Kristen A. Pickett ◽  
Rachel Proffitt ◽  
Jana Cason

The use of telehealth to deliver occupational therapy services rapidly expanded during the COVID-19 pandemic. There are frameworks to evaluate services delivered through telehealth; however, none are specific to occupational therapy. Therefore, occupational therapy would benefit from a framework to systematically evaluate components of telehealth service delivery and build evidence to demonstrate the distinct value of occupational therapy.  The PACE Framework outlines four priority domains to address areas of need: (1) Population and Health Outcomes; (2) Access for All Clients; (3) Costs and Cost Effectiveness; and (4) Experiences of Clients and Occupational Therapy Practitioners. This article describes the development and expert reviewer evaluation of the PACE Framework. In addition, the PACE Framework’s domains, subdomains, and outcome measure examples are described along with future directions for implementation in occupational therapy research, practice, and program evaluation. 


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