26 papers · ranked by Valyu relevance
Maximilian Speicher
Data-driven design is a proven success factor that more and more digital businesses embrace. At the same time, academics and practitioners alike warn that when virtually everything must be tested and proven with numbers, that can stifle creativity and innovation. This article argues that Taleb's Black Swan theory can…
Shuo Jiang, Jie Hu, Kristin L. Wood, Jianxi Luo
Design-by-Analogy (DbA) is a design methodology wherein new solutions, opportunities or designs are generated in a target domain based on inspiration drawn from a source domain; it can benefit designers in mitigating design fixation and improving design ideation outcomes. Recently, the increasingly available design…
Gabriella A. B. Barros, Michael Cerny Green, Antonios Liapis, Julian Togelius
'Julian Togelius'] Maximalism in art refers to drawing on and combining multiple different sources for art creation, embracing the resulting collisions and heterogeneity. This paper discusses the use of maximalism in game design and particularly in data games, which are games that are generated partly based on open…
Gaoyan Shi
In this paper, we conduct in-depth research and analysis by building an IoT data-driven intelligent law classroom teaching system and implementing it in the actual teaching process. Firstly, the application requirements and main functions of the classroom interactive system are analysed and studied in depth; the…
Jagoda Walny, Christian Frisson, Mieka West, Doris Kosminsky + 3 more
'Søren Knudsen' 'Sheelagh Carpendale' 'Wesley Willett'] Abstract— Complex data visualization design projects often entail collaboration between people with different visualization-related skills. For example, many teams include both designers who create new visualization designs and developers who implement the…
Göksel Mısırlı, Bill Yang, Katherine James, Anil Wipat
Engineering genetic regulatory circuits is key to the creation of biological applications that are responsive to environmental changes. Computational models can assist in understanding especially large and complex circuits where manual analysis is infeasible, permitting a model-driven design process. However, there are…
Bahador Saket, Dominik Moritz, Halden Lin, Victor Dibia + 2 more
'Çağatay Demiralp' 'Jeffrey Heer'] Abstract— In this paper, we describe a research agenda for deriving design principles directly from data. We argue that it is time to go beyond manually curated and applied visualization design guidelines. We propose learning models of visualization design from data collected using…
Jonathan Zaslavsky, Pauric Bannigan, Christine Allen
Introduction Interest in nanomedicines has surged in recent years due to the critical role they have played in the COVID-19 pandemic. Nanoformulations can turn promising therapeutic cargo into viable products through improvements in drug safety and efficacy profiles. However, the developmental pathway for such…
Authors not listed
High-throughput experimentation (HTE) accelerates chemical discovery by shortening the lead times for molecule synthesis. The choice of initial reaction conditions directly influences the outcome and length of a screening campaign. But human involvement in plate design and data analysis remains a significant cost…
Adriana Arcia, Janet Woollen, Suzanne Bakken
Context: Tailored visualizations of patient reported outcomes (PROs) are valuable health communication tools to support shared decision making, health self-management, and engagement with research participants, such as cohorts in the NIH Precision Medicine Initiative. The automation of visualizations presents some…
Kristin Wulff, Hanne Finnestrand
Because of the increase in data and the possibilities created by machine learning, organizations are now looking to become more data-driven. In sociotechnical systems design there has been a focus on designing information for action to support decentralized organizations. The purpose of this article, published in…
Mengyan Zhang, Maciej Bartosz Holowko, Huw Hayman Zumpe, Cheng Soon Ong
Optimisation of gene expression levels is an essential part of the organism design process. Fine control of this process can be achieved through engineering transcription and translation control elements, including the ribosome binding site (RBS). Unfortunately, design of specific genetic parts can still be challenging…
Guillermo Yáñez Feliú, Benjamín Earle Gómez, Verner Codoceo Berrocal, Macarena Muñoz Silva + 8 more
Characterization is fundamental to the design, build, test, learn (DBTL) cycle for engineering synthetic genetic circuits. Components must be described in such a way as to account for their behavior in a range of contexts. Measurements and associated metadata, including part composition, constitute the test phase of…
Natalie R Zelenka, Nina Di Cara, Kieren Sharma, Seeralan Sarvaharman + 6 more
'Jasdeep S Ghataora' 'Fabio Parmeggiani' 'Jeff Nivala' 'Zahraa S Abdallah' 'Lucia Marucci' 'Thomas E Gorochowski'] Title: Abstract Data science is playing an increasingly important role in the design and analysis of engineered biology. This has been fueled by the development of high-throughput methods like massively…
Ricardo Stefani
The use of data science, artificial intelligence, and big data in the field of chemistry has recently grown to speed up the discovery of new materials, drugs, and synthetic substances and the identification of automated compounds. Machine learning and data science are commonly used in organic chemistry to predict…
Michael Statt, Kristopher Brown, Santosh Suram, Linda Hung + 3 more
In this work, we present DBgen, a Python library that provides a framework for defining extract-transform-load (ETL) pipelines to create and populate SQL databases. DBgen is most useful when the underlying data has complex relationships, requires multi-step analysis, is large-scale, and the type of data being collected…
Nikiforos Karamanis, Denise Carvalho-Silva, Jennifer A. Cham, Luca Fumis + 15 more
Although a scientific web application that is intuitive can help scientists utilize data more easily and advance their research, there is little guidance on how to design such an application in the academic literature. We discuss how we designed an intuitive application for bench scientists working in drug discovery…
Suguru Fujita, Yasuaki Karasawa, Ken-ichi Hironaka, Y-h. Taguchi + 1 more
High-throughput omics technologies have enabled the profiling of entire biological systems. For the biological interpretation of such omics data, two analyses, hypothesis- and data-driven analyses including tensor decomposition, have been used. Both analyses have their own advantages and disadvantages and are mutually…
Authors not listed
Selection of efficient multi-step synthesis routes is a fundamental challenge in organic synthesis. Comparing different routes involves numerous parameters, economic considerations, and integration of nuanced chemical knowledge. While computer-aided synthesis planning (CASP) tools can generate synthetic routes…
Daniel Lopes, João Correia, Penousal Machado, José F. F. Mendes
Frequently, one of the goals of Graphic Design (gd) is discovering disruptive visual solutions that stand out and attract people’s attention. However, due to the increasing democratisation of gd, graphic designers tend to adopt design trends, leading to designs that many times lack innovative and catchy features.…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Dominik Balazka, Dario Rodighiero
Starting from an analysis of frequently employed definitions of big data, it will be argued that, to overcome the intrinsic weaknesses of big data, it is more appropriate to define the object in relational terms. The excessive emphasis on volume and technological aspects of big data, derived from their current…
Ted Laderas, Nicole Vasilevsky, Bjorn Pederson, Melissa Haendel + 2 more
Our goal was to create a synthetic dataset and curricular materials to assist in teaching fundamentals of translational data science. A literature review was conducted to extract current cardiovascular risk score logic, data elements, and population characteristics. Then, clinical data elements in the models were…
Jeffrey C. Oliver, Torbet McNeil, Harry Hochheiser
The interdisciplinary field of data science, which applies techniques from computer science and statistics to address questions across domains, has enjoyed recent considerable growth and interest. This emergence also extends to undergraduate education, whereby a growing number of institutions now offer degree programs…
Rebecca Brunk, Kriti Shukla, Bryant Hutson, Yue Wang + 7 more
Genomic sequencing and other big biological data is unquestionably of paramount value, however the success in recruiting highly skilled individuals with diverse backgrounds has been limited. A main reason for this deficiency could be due to the lack of educational resources and early exposure to the field. With the…
Fabien Campagne, William ER Digan, Manuele Simi
Data analysis tools have become essential to the study of biology. Tools available today were constructed with layers of technology developed over decades. Here, we explain how some of the principles used to develop this technology are sub-optimal for the construction of data analysis tools for biologists. In contrast…