Social and Behavioral Sciences Commons^™

A Transformative Concept: From Data Being Passive Objects To Data Being Active Subjects, Hans-Peter Plag, Shelley-Ann Jules-Plag

OES Faculty Publications

The exploitation of potential societal benefits of Earth observations is hampered by users having to engage in often tedious processes to discover data and extract information and knowledge. A concept is introduced for a transition from the current perception of data as passive objects (DPO) to a new perception of data as active subjects (DAS). This transition would greatly increase data usage and exploitation, and support the extraction of knowledge from data products. Enabling the data subjects to actively reach out to potential users would revolutionize data dissemination and sharing and facilitate collaboration in user communities. The three core elements …

Can The Us And Europe Contain Russian Power In The European Energy Market? A Game Theoretic Approach, Jesse Richman, Nurullah Ayyilmaz

Political Science & Geography Faculty Publications

The Russian history of politicization of natural gas supplies led Europe to seek alternatives. US LNG is considered to be a viable alternative for Europe, which positioned the US as a strong competitor against Russia. In a game theoretic approach, we model this strategic decision-making process in simultaneous-move and sequential games. Our findings indicate a mixed strategy equilibrium: Europe cannot commit to diversify in the face of Russian advantages, and Russia cannot fully resist the temptation to politicize its supplies to Europe. The US might attempt to intervene in the European commitment problem through implementing sanctions on Russian gas sales. …

A New 30 Meter Resolution Global Shoreline Vector And Associated Global Islands Database For The Development Of Standardized Ecological Coastal Units, Roger Sayre, Suzanne Noble, Sharon Hamann, Rebecca Smith, Dawn Wright, Sean Breyer, Kevin Butler, Keith Van Graafeiland, Charlie Frye, Deniz Karagulle, Dabney Hopkins, Drew Stephens, Kevin Kelly, Zeenatul Basher, Devon Burton, Jill Cress, Karina Atkins, D. Paco Van Sistine, Beverly Friesen, Revecca Allee, Tom Allen, Peter Aniello, Irawan Asaad, Mark John Costello, Kathy Goodin, Peter Harris, Maria Kavanaugh, Helen Lillis, Elonora Manca, Frank Muller-Karger, Bjorn Nyberg, Rost Parsons, Jusrin Saarinen, Jack Steiner, Adam Reed

Political Science & Geography Faculty Publications

A new 30-m spatial resolution global shoreline vector (GSV) was developed from annual composites of 2014 Landsat satellite imagery. The semi-automated classification of the imagery was accomplished by manual selection of training points representing water and non-water classes along the entire global coastline. Polygon topology was applied to the GSV, resulting in a new characterisation of the number and size of global islands. Three size classes of islands were mapped: continental mainlands (5), islands greater than 1 km² (21,818), and islands smaller than 1 km² (318,868). The GSV represents the shore zone land and water interface boundary, and …

Integrating Geochronologic And Instrumental Approaches Across The Bengal Basin, Elizabeth L. Chamberlain, Steven L. Goodbred, Richard Hale, Michael S. Steckler, Jakob Willinga, Carol Wilson

OES Faculty Publications

Constraining time is of critical importance to evaluating the rates and relative contributions of processes driving landscape change in sedimentary basins. The geomorphic character of the field setting guides the application of geochronologic or instrumental tools to this problem, because the viability of methods can be highly influenced by geomorphic attributes. For example, sediment yield and the linked potential for organic preservation may govern the usefulness of radiocarbon dating. Similarly, the rate of sediment transport from source to sink may determine the maturity and/or light exposure of mineral grains arriving in the delta and thus the feasibility of luminescence dating. …

Community Outreach For The Virginia Beach Comprehensive Flooding Response Plan (Sea-Level Wise), Michelle Covi, Wie Yusuf, Gail Nicula, Daniel Richards, Afi Anuar

Presentations, Lectures, Posters, Reports

[From Introduction]

In partnership with the City of Virginia Beach, the Old Dominion University research team of Drs. Michelle Covi, Wie Yusuf, Gail Nicula, Daniel Richards and Afi Anuar developed and executed a program for public engagement meetings using the ASERT (Action-oriented Stakeholder Engagement for a Resilient Tomorrow) framework to solicit resident engagement with and input into the City’s Comprehensive Sea Level Rise and Recurrent Flooding Response Plan, now known as Sea Level Wise.

Evaluating Resilience: Insights From Florida, Hannah Torres

October 11, 2019: Measuring and Evaluating Resilience

No abstract provided.

Living Shorelines: Barriers And Promotion: Accomack County, Va, Amy Belcher, Rhiannon Bezore, Michelle Covi, Wie Yusuf

Presentations, Lectures, Posters, Reports

Living shorelines can offer shoreline protection for low energy shorelines as well as providing ecoservices such as purifying water, buffering against floods, and attracting wildlife. This report highlights key benefits, possible barriers and solutions, and ideas for their promotion. Recommendations for implementing living shorelines are included for Accomack County, Virginia to aid in increasing awareness and utilization of living shorelines.

Fostering University Collaboration And Building Capacity To Respond To Coastal Resilience Challenges In Virginia: Findings From The Rotating Resilience Roundtables Workshop Spring 2019, Wie Yusuf, Michelle Covi, Anamaria Bukvic, Tom Allen, Taiwo Oguntuyo

Presentations, Lectures, Posters, Reports

[from Background and Overview]

Communities in coastal Virginia, particularly in the urban region of Hampton Roads and the rural Eastern Shore peninsula, are experiencing the impacts of climate change as part of everyday life. Among the most apparent impacts are sea level rise and associated flooding, but increasingly residents of the region are observing changing ecosystems, health impacts and complex social challenges are made more difficult. The region is experiencing the fastest rate of relative sea level rise on the U.S. east coast due to interactions between ocean currents, global sea level rise, high-water tables and ground subsidence (Adapt Virginia …

The Mortality Response To Absolute And Relative Temperature Extremes, Scott C. Sheridan, Cameron C. Lee, Michael J. Allen

Political Science & Geography Faculty Publications

While the impact of absolute extreme temperatures on human health has been amply studied, far less attention has been given to relative temperature extremes, that is, events that are highly unusual for the time of year but not necessarily extreme relative to a location's overall climate. In this research, we use a recently defined extreme temperature event metric to define absolute extreme heat events (EHE) and extreme cold events (ECE) using absolute thresholds, and relative extreme heat events (REHE) and relative extreme cold events (RECE) using relative thresholds. All-cause mortality outcomes using a distributed lag nonlinear model are evaluated for …

Transfer Learning Approach To Multiclass Classification Of Child Facial Expressions, Megan A. Witherow, Manar D. Samad, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

The classification of facial expression has been extensively studied using adult facial images which are not appropriate ground truths for classifying facial expressions in children. The state-of-the-art deep learning approaches have been successful in the classification of facial expressions in adults. A deep learning model may be better able to learn the subtle but important features underlying child facial expressions and improve upon the performance of traditional machine learning and feature extraction methods. However, unlike adult data, only a limited number of ground truth images exist for training and validating models for child facial expression classification and there is a …

Life In Hampton Roads Survey Press Release #4: Neighborhood Flooding And Flood Insurance, Social Science Research Center, Old Dominion University

Life in Hampton Roads Survey Report

[Introductory paragraph]

Respondents were asked whether or not they own or are in the process of buying their home, rent, or have some other arrangement. Similar to past years, the majority of residents reported that they own or are in the process of buying their home (66.8%), marking the second highest percentage in the past five years, only behind last year’s percentage of 67.7. Another 28.6 percent indicated that they rent, while only 2.8 percent reported having another arrangement.

Web Archives At The Nexus Of Good Fakes And Flawed Originals, Michael L. Nelson

Computer Science Faculty Publications

[Summary] The authenticity, integrity, and provenance of resources we encounter on the web are increasingly in question. While many people are inured to the possibility of altered images, the easy accessibility of powerful software tools that synthesize audio and video will unleash a torrent of convincing “deepfakes” into our social discourse. Archives will no longer be monopolized by a countable number of institutions such as governments and publishers, but will become a competitive space filled with social engineers, propagandists, conspiracy theorists, and aspiring Hollywood directors. While the historical record has never been singular nor unmalleable, current technologies empower an unprecedented …

A Survey Of Attention Deficit Hyperactivity Disorder Identification Using Psychophysiological Data, S. De Silva, S. Dayarathna, G. Ariyarathne, D. Meedeniya, Sampath Jayarathna

Computer Science Faculty Publications

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurological disorders among children, that affects different areas in the brain that allows executing certain functionalities. This may lead to a variety of impairments such as difficulties in paying attention or focusing, controlling impulsive behaviours and overreacting. The continuous symptoms may have a severe impact in the long-term. This paper explores the ADHD identification studies using eye movement data and functional Magnetic Resonance Imaging (fMRI). This study discusses different machine learning techniques, existing models and analyses the existing literature. We have identified the current challenges and possible future directions …

Automatic Slide Generation For Scientific Papers, Athar Sefid, Jian Wu, Prasenjit Mitra, C. Lee Giles

Computer Science Faculty Publications

We describe our approach for automatically generating presentation slides for scientific papers using deep neural networks. Such slides can help authors have a starting point for their slide generation process. Extractive summarization techniques are applied to rank and select important sentences from the original document. Previous work identified important sentences based only on a limited number of features that were extracted from the position and structure of sentences in the paper. Our method extends previous work by (1) extracting a more comprehensive list of surface features, (2) considering semantic or meaning of the sentence, and (3) using context around the …

Mid-Atlantic Oil Spill Workshop: Are We Ready? A Regional Workshop As Part Of The National Academies And Sea Grant Collaborative Workshop Series, G. Walker, M. Covi

OES Faculty Publications

(First paragraph) In 2017, the Gulf Research Program (GRP) and the Health and Medical Division of the National Academies of Sciences, Engineering, and Medicine hosted a workshop to prepare for and respond to major marine oil spills. To address gaps identified at the workshop, GRP reached out to the Sea Grant Oil Spill Science Outreach Program to host a series of regional workshops. The Sea Grant Oil Spill team, based in the Gulf, partnered with state Sea Grant programs across the country to plan and deliver regional workshops in 2018-2019. The goals of the workshops were to raise awareness of …

Natural Resources Governance Employing Blockchain-Based Decision-Making, Farinaz Sabz Ali Pour, Adrian Gheorghe

Engineering Management & Systems Engineering Faculty Publications

Natural resources are essential structures of socio-economic systems which shape the well-being of humanity, environment, and the economy. Human actions have become the critical responsibility for environmental changes and pressuring many planetary boundaries. Having a systematic approach can provide a governance platform including the inherent characteristics of the resource, the historically established form of use, and transaction costs. A natural resource governance framework is developed by applying Blockchain technology as the primary goal of this study to regulate and manage the extraction and trades. Blockchain technology provides a distributed concurrency monitoring system for sustainable resource management. Persistent and pervasive cooperation …