Destination Area: Data and Decisions (D&D)
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The DA Data and Decisions advances the human condition and society with better decisions through data. D&D integrates all DAs and SGAs with data analytics and decision sciences. Work in this area embraces equity in the human condition by seeking the equitable distribution and availability of physical safety and well-being, psychological well-being, respect for human dignity, and access to crucial material and social resources throughout the world’s diverse communities. D&D also addresses policymaking and policy analysis, collaborating at the intersection of scientific evidence, governance, and analyses to translate scholarship into practice.
Recent Submissions
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Exploiting big data for customer and retailer benefits: A study of emerging mobile checkout scenarios
(Emerald, 2016-01-01)Purpose – Mobile checkout in the retail store has the promise to be a rich source of big data. It is also a means to increase the rate at which big data flows into an organization as well as the potential to integrate ... -
Prediction of condition-specific regulatory genes using machine learning
(Oxford University Press, 2020-06-19)Recent advances in genomic technologies have generated data on large-scale protein–DNA interactions and open chromatin regions for many eukaryotic species. How to identify condition-specific functions of transcription ... -
Decision-adjusted driver risk predictive models using kinematics information
(Elsevier, 2021-06)Accurate prediction of driving risk is challenging due to the rarity of crashes and individual driver heterogeneity. One promising direction of tackling this challenge is to take advantage of telematics data, increasingly ... -
Sensory Descriptor Analysis of Whisky Lexicons through the Use of Deep Learning
(MDPI, 2021-07-14)This paper is concerned with extracting relevant terms from a text corpus on whisk(e)y. “Relevant” terms are usually contextually defined in their domain of use. Arguably, every domain has a specialized vocabulary used for ... -
Observing a Global Pandemic from Space: Evaluating Participatory Geographic Information Systems (PGIS) during the SARS-CoV-2 Pandemic
(Virginia Tech, 2021-04-30)When the novel SARS-CoV-2 virus emerged in December 2019, GIS technologies and web-based GIS dashboards were rapidly employed to share information regarding disease spread and impact on society. As GIS-based tools are ... -
An Unsupervised Probabilistic Method for Large Scale Flood Mapping: Exploring Archive of Sentinel-1A/B Satellites over India
(Virginia Tech, 2021-04-30)Synthetic aperture radar (SAR) imaging provides an all-weather sensing technique that is suitable for near-real-time mapping of disasters such as floods. In this article, I use SAR data acquired by Sentinel-1A/B satellites ... -
Sensing Earth and environment dynamics by telecommunication fiber-optic sensors: an urban experiment in Pennsylvania, USA
(Copernicus Publications, 2021-01-28)Continuous seismic monitoring of the Earth’s near surface (top 100 m), especially with improved resolution and extent of data both in space and time, would yield more accurate insights about the effect of extreme-weather ... -
Community-Driven Metadata Standards for Agricultural Microbiome Research
(2020-02-20)Accelerating the pace of microbiome science to enhance crop productivity and agroecosystem health will require transdisciplinary studies, comparisons among datasets, and synthetic analyses of research from diverse crop ... -
A Specialized Data Crawler for Cross-Laminated Timber Information Resources
(2020)The Internet is composed of more than 6.2 billion Web pages and grows larger every day. As the number of links and specialty subject areas grows, it becomes ever more difficult to find pertinent information. For some subject ... -
Finding What Is Inaccessible: Antimicrobial Resistance Language Use among the One Health Domains
(MDPI, 2021-04-03)The success of a One Health approach to combating antimicrobial resistance (AMR) requires effective data sharing across the three One Health domains (human, animal, and environment). To investigate if there are differences ... -
AgroSeek: a system for computational analysis of environmental metagenomic data and associated metadata
(2021-03-10)Background Metagenomics is gaining attention as a powerful tool for identifying how agricultural management practices influence human and animal health, especially in terms of potential to contribute to ... -
A Classifier to Detect Informational vs. Non-Informational Heart Attack Tweets
(MDPI, 2021-01-16)Social media sites are considered one of the most important sources of data in many fields, such as health, education, and politics. While surveys provide explicit answers to specific questions, posts in social media have ... -
Applying GIS and Text Mining Methods to Twitter Data to Explore the Spatiotemporal Patterns of Topics of Interest in Kuwait
(MDPI, 2020-11-25)Researchers have developed various approaches for exploring the spatial information, temporal patterns, and Twitter content in topics of interest in order to generate a better understanding of human behavior; however, few ... -
Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework
(2020-08)Stroke is the fifth leading cause of death in the United States and a major cause of severe disability worldwide. Yet, recognizing the signs of stroke in an acute setting is still challenging and leads to loss of opportunity ... -
Combining expert and crowd-sourced training data to map urban form and functions for the continental US
(2020-08-11)Although continental urban areas are relatively small, they are major drivers of environmental change at local, regional and global scales. Moreover, they are especially vulnerable to these changes owing to the concentration ... -
Mobile phone use is associated with higher smallholder agricultural productivity in Tanzania, East Africa
(PLOS, 2020-08-06)Mobile phone use is increasing in Sub-Saharan Africa, spurring a growing focus on mobile phones as tools to increase agricultural yields and incomes on smallholder farms. However, the research to date on this topic is ... -
DeepMicro: deep representation learning for disease prediction based on microbiome data
(Nature Research, 2020)Human microbiota plays a key role in human health and growing evidence supports the potential use of microbiome as a predictor of various diseases. However, the high-dimensionality of microbiome data, often in the order ... -
Enhancing big data in the social sciences with crowdsourcing: Data augmentation practices, techniques, and opportunities
(2020-06-10)Proponents of big data claim it will fuel a social research revolution, but skeptics challenge its reliability and decontextualization. The largest subset of big data is not designed for social research. Data augmentatio ... -
The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities
(2020-01-08)The PathoSystems Resource Integration Center (PATRIC) is the bacterial Bioinformatics Resource Center funded by the National Institute of Allergy and Infectious Diseases (https://www.patricbrc.org). PATRIC supports ... -
Association of Blood Biomarkers With Acute Sport-Related Concussion in Collegiate Athletes: Findings From the NCAA and Department of Defense CARE Consortium
(2020-01-24)Question Is sport-related concussion associated with levels of traumatic brain injury biomarkers in collegiate athletes? Findings In this case-control study of 504 collegiate athletes with concussion, contact sport control ...
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