Deana Denise Pennington

Deana Denise Pennington
University of Texas at El Paso | UTEP

Ph.D. Geography

About

71
Publications
11,355
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,378
Citations
Citations since 2017
14 Research Items
548 Citations
2017201820192020202120222023020406080
2017201820192020202120222023020406080
2017201820192020202120222023020406080
2017201820192020202120222023020406080
Introduction

Publications

Publications (71)
Article
Full-text available
Study region: The Middle Rio Grande (MRG), defined by the portion of the basin from Elephant Butte Reservoir in New Mexico to the confluence with the Rio Conchos in Far West Texas, U.S.A. and Northern Chihuahua, Mexico. Study focus: The future of water for the MRG and many other arid and semi-arid regions of the world is challenged by a changing cl...
Article
Full-text available
Modelling complex socio-environmental problems requires integration of knowledge across disparate fields of expertise. A key challenge is understanding how social learning across disciplines occurs in scientific research teams, in order that integrated knowledge is co-created. This article introduces a new framework for training researchers to inte...
Article
The interdisciplinary research (IR) that is necessary for the creation of innovative solutions for the many complex environmental challenges facing society requires collaboration and the sharing and integration of knowledge from different disciplines in teams. Higher education programs should deploy effective pedagogical approaches to train student...
Article
Full-text available
Given the rapid emergence of data science techniques in the sustainability sciences and the societal importance of many of these applications, there is an urgent need to prepare future scientists to be knowledgeable in both their chosen science domain and in data science. This article provides an overview of required competencies, educational progr...
Poster
Many aspects of geosciences pose novel problems for intelligent systems research. Geoscience data is challenging because it tends to be uncertain, intermittent, sparse, multiresolution, and multi-scale. Geosciences processes and objects often have amorphous spatiotemporal boundaries. The lack of ground truth makes model evaluation, testing, and com...
Poster
Many aspects of geosciences pose novel problems for intelligent systems research. Geoscience data is challenging because it tends to be uncertain, intermittent, sparse, multiresolution, and multi-scale. Geosciences processes and objects often have amorphous spatiotemporal boundaries. The lack of ground truth makes model evaluation, testing, and com...
Conference Paper
The wide variety in descriptions, implementations, and accessibility of scientific models poses a huge challenge for model interoperability. Model interoperability is key in the automation of tasks includingmodel integration, seamlessaccesstodistributed models, data reuse and repurpose. Current approaches for model interoperability include the crea...
Poster
Geoscience problems are complex and often involve data that changes across space and time. Frequently geoscience knowledge and understanding provides valuable information and insight for problems related to energy, water, climate, mineral resources, and our understanding of how the Earth evolves through time. Simultaneously, many grand challenges i...
Poster
Data integration applications are ubiquitous in scientific disciplines. A state-of-the-art data integration system accepts both a set of data sources and a target ontology as input, and semi-automatically maps the data sources in terms of concepts and relationships in the target ontology. Mappings can be both complex and highly domain-specific. Onc...
Conference Paper
In this paper, we describe our research investigating design, teaching and learning aspects of the EMBeRS Summer School. In 2016, thirteen graduate Environmental Science students participated in a ten-day Summer School to learn about interdisciplinary approaches to researching socio-environmental systems. Using the Employing Model-Based Reasoning i...
Article
Full-text available
Emerging infectious diseases (EIDs) are a challenge for public health and biosurveillance infrastructure across the globe. These etiological agents, which cause EIDs, are primarily of zoonotic origin. Due to the complexity of zoonotic pathogens, research and response to EIDs must be a transdisciplinary effort. While crisis and circumstance may be t...
Article
Full-text available
This special issue explores challenges and opportunities confronting higher education related to leadership at a variety of levels and the creation of linkages between students, faculty, administration, and community stakeholders necessary to address the many “wicked problems” facing society. One common thread among all the papers is that higher ed...
Article
Full-text available
To improve teaching and learning, it is important to understand how knowledge propagates. In general, when a new piece of knowledge is introduced, people start learning about it. Since the potential audience is limited, after some time, the number of new learners starts to decrease. Traditional models of knowledge propagation are based on different...
Article
A well-known barrier to successful interdisciplinary work is the difficulty of integrating knowledge across disciplines. Integrated conceptualizations must leverage the combined knowledge of team members in productive ways for a given problem. The process of knowledge integration has been investigated from a variety of disciplinary perspectives, in...
Poster
Geologic field mapping involves the use of technology before, during, and after visiting a site. Geologists utilize hardware such as Global Positioning Systems (GPS) connected to mobile computing platforms such as tablets that include software such as ESRI’s ArcPad and other software to produce maps and figures for a final analysis and report. Hand...
Conference Paper
Understanding the impact of climate change and humans on biodiversity requires the retrieval and integration of heterogeneous data sets for the generation of models that provide insights not possible with a single model. Scientists invest a significant amount of time collecting and manually pre-processing data for the generation of such models. The...
Article
Full-text available
In inter- and transdisciplinary teams, diverse perspectives on a particular problem must be integrated into shared models of the problem. This process has been identified as a core challenge for socio-environmental synthesis research and education. There is little understanding of how to facilitate knowledge integration across perspectives. We gene...
Conference Paper
Full-text available
Field-based disciplines, such as geology, may benefit from employing technology to have updated information about the visited location. This paper presents our initial work towards integrating disparate data related to a specific location. We created an ontology to describe data and information that may be useful during a geology field trip, namely...
Article
Full-text available
Automated sensors are ubiquitous in ecological “research networks” and academic-led studies. We conducted a survey of academic ecologists to assess the extent of sensor use and how sensor-captured data are managed. There were 135 survey respondents, each representing a unique research group and collectively representing more than 1800 researchers f...
Poster
Full-text available
Field-based disciplines, such as geology, may benefit from employing technology to have updated information about the visited location. This paper presents our initial work towards integrating disparate data related to a specific location. We created an ontology to describe data and information that may be useful during a geology field trip, namely...
Conference Paper
The creation of biodiversity models requires the integration and manipulation of decoupled datasets across different domains of knowledge. This paper describes our experience in the development of the ELSEWeb framework, which aims to facilitate the integration of environmental data for the generation of species distribution models. We discuss the a...
Article
Full-text available
The Colorado Plateau supports one of the highest levels of endemism in the United States, with more than 10% of the plant species estimated to be endemic. Many endemic plants are considered rare and may be susceptible to climate change. To determine the potential impacts of climate change on the range extent on plants endemic to the Colorado Platea...
Article
New good ideas sometimes propagate too slowly. To speed up their propagation, we need to have a quantitative understanding of how ideas propagate. An intuitive understanding of ideas propagation has led to several reasonable first-approximation mathematical models. These models provide a good description of idea propagation on the later stages, whe...
Article
Full-text available
The relationship between inter- and transdisciplinary research and potentially transformative science is poorly understood. We use a case study of a long-term transdisciplinary research effort on hantaviruses combined with findings from studies of team science to generate a hypothesized model that links cross-disciplinary collaboration with transfo...
Article
In this paper, we describe the approach of the Earth, Life and Semantic Web (ELSEWeb) project that facilitates the discovery and transformation of Earth observation data sources for the creation of species distribution models (data-to-model) transformations. ELSEWeb automates the discovery and processing of voluminous, heterogeneous satellite image...
Article
MetaShare is a knowledge-based system that supports the creation of data management plans and provides the functionality to support researchers as they implement those plans. MetaShare is a community-based, user-driven system that is being designed around the paralleis of the scientific data life cycle and the development cycle of knowledge-based s...
Chapter
Identifying a species’ geographic range is the first step in understanding whether the range is changing or being disturbed, fragmented, or modified by some other process. A species’ range is constrained in part by specific environmental limiting factors that collectively define the environmental space of the species or its habitat needs. Other fac...
Article
Full-text available
Collaborative eScience research teams are impeded by difficulties defining problems that provide research opportunities for all participants. Problem formulation occurs early in the collaboration process when the demand for ideas is high. However, cross-disciplinary linkages and integrated conceptual frameworks from which strong interdisciplinary i...
Article
Full-text available
Collaboration within eScience teams depends on participants learning each others’ disciplinary perspectives sufficiently to generate cross-disciplinary research questions of interest. Participants in new teams often have a limited understanding of each other’s research interests; hence early team interactions must revolve around exploratory cross-d...
Article
Full-text available
Boundary objects are material artifacts that mediate the relationship between two or more disparate perspectives. The concept of boundary objects has been demonstrably useful in a variety of research areas; however, the meaning and function of boundary objects is contested. At issue is the relationship between boundary objects that negotiate betwee...
Article
Information infrastructure that supports collaborative science is a complex system of people, organizational arrangements, and tools that require co-management. Contemporary studies are exploring how to establish and characterize effective collaborative information environments. Collaboration depends on the flow of information across the human and...
Article
Increasingly science is conducted in collaborative, cross-disciplinary, and cross-institutional ways. Collaborative approaches require mechanisms for integrating human cognition and social interactions synergistically with data and tools that support scientific analyses. In this presentation I will introduce a line of informatics research on the st...
Article
Full-text available
Early informatics focused primarily on the application of technology and computer science to a specific domain; modern informatics has broadened to encompass human and knowledge dimensions. Application of technology is but one aspect of informatics. Understanding domain members’ issues, priorities, knowledge, abilities, interactions, tasks and work...
Article
Full-text available
Complex environmental problem solving depends on cross-disciplinary collaboration among scientists. Collaborative research must be preceded by an exploratory phase of collective thinking that creates shared conceptual frameworks. Collective thinking, in a cross-disciplinary setting, depends on the facility with which collaborators are able to learn...
Article
Full-text available
Several scientific projects have offered the researchers an opportunity to solve critical emerging environmental issues by educating the scientists for better use of technologies for their future efforts. Two US National Science Foundation projects, namely, Science Environment for Ecological knowledge (SEEK) and Science Design (SciDesign) projects...
Article
Full-text available
Experimental studies demonstrating that nitrogen (N) enrichment reduces plant diversity within individual plots have led to the conclusion that anthropogenic N enrichment is a threat to global biodiversity. These conclusions overlook the influence of spatial scale, however, as N enrichment may alter beta diversity (i.e., how similar plots are in th...
Article
Experimental studies demonstrating that nitrogen (N) enrichment reduces plant diversity within individual plots have led to the conclusion that anthropogenic N enrichment is a threat to global biodiversity. These conclusions overlook the influence of spatial scale, however, as N enrichment may alter β diversity (i.e., how similar plots are in their...
Article
Full-text available
We describe collaborative efforts among a group of Knowledge Representation (KR) experts, domain scientists, and scientific information managers in developing knowledge models for ecological and environmental concepts. The development of formal, structured approaches to KR used by the group (i.e., ontologies) can be informed by evidence marshalled...
Article
Exploratory modeling is an approach used when process and/or parameter uncertainties are such that modeling attempts at realistic prediction are not appropriate. Exploratory modeling makes use of computational experimentation to test how varying model scenarios drive model outcome. The goal of exploratory modeling is to better understand the system...
Article
Research in ecology increasingly relies on the integration of small, focused studies, to produce larger datasets that allow for more powerful, synthetic analyses. The results of these synthetic analyses are critical in guiding decisions about how to sustainably manage our natural environment, so it is important for researchers to effectively discov...
Article
The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open...
Conference Paper
Geospatial data and analytical functions are essential to geospatial modeling. There are increasing interests in publishing both geospatial data and analytical functions as Web services and use them as the building blocks for domain specific geospatial modeling. While the advantages of using the Web services technologies have been well recognized a...
Conference Paper
Current workflow systems support data flow through complex analyses in a distributed environment. The scope of scientific workflow systems could expand to support the entire scientific research cycle, which includes data flow, design flow, and knowledge flow tasks. Example tasks and requirements within each of these are explored, illustrated by a u...
Article
Biodiversity and ecosystem data are both geo-referenced and “species-referenced”. Ecoregion classification systems are relevant to basic ecological research and have been increasingly used for making policy and management decisions. There are practical needs to integrate taxonomic data with ecoregion data in a GIS to visualize and explore species d...
Article
Full-text available
Water is a key driver of ecosystem processes in aridland ecosystems. Thus, changes in climate could have significant impacts on ecosystem structure and function. In the southwestern US, interactions among regional climate drivers (e.g., El Niño Southern Oscillation) and topographically controlled convective storms create a spatially and temporally...
Conference Paper
Full-text available
We describe collaborative efforts between a knowledge representation team, a community of scientists, and scientific information managers in developing knowledge models for ecological and environmental sciences. Formal, structured approaches to knowledge representation used by the team (e.g., ontologies) can be informed by unstructured approaches t...
Chapter
Changes in biodiversity have been linked to variations in climate and human activities [295]. These changes have implications for a wide range of socially relevant processes, including the spread of infectious disease, invasive species dynamics, and vegetation productivity [27, 70, 203, 291, 294, 376, 426]. Our understanding of biodiversity pattern...
Conference Paper
Full-text available
Data Grid and Web Services are among the advanced computing technologies that are available to support scientists and scientific applications. We use Kepler scientific workflow system to integrate the two popular technologies for e-science applications. A prototype system for exploring species distribution patterns has been developed for demonstrat...
Conference Paper
Full-text available
Many geospatial models are developed using command line modules of GIS packages. To utilize scientific workflow technology in geospatial modeling, it is important to support command line GIS modules in scientific workflow systems. However, straightforward representation of command line modules as workflow components conflicts with conventional conc...
Conference Paper
Geospatial processing often involves complex and complicated geospatial data types. It is extremely inefficient if not infeasible to require scientist users maintain type compatibility of the ports of Web services that are connecting to each other. This study proposes to extend the type checking system of Kepler scientific workflow system to help s...
Conference Paper
Full-text available
The Science Environment for Ecological Knowledge (SEEK) (1) is an information technology project designed to address the many challenges associated with data accessibility and integration of large-scale biocomplexity data in the ecological sciences. The SEEK project is creating cyberinfrastructure encompassing three integrated systems: EcoGrid, a S...
Conference Paper
Full-text available
Geospatial analyses of distributed data from surveys and sensors are often stored and managed in diverse re- gional, national and global repositories. The nature of sci- entific processes requires composition of these resources in a meaningful order to solve a specific geoscience prob- lem. These tasks can be viewed as scientific workflows. Web bas...
Conference Paper
Full-text available
Species distribution prediction modeling plays a key role in biodiversity research. We propose to publish both species distribution data and modeling components as Web services and composite them into modeling systems using the scientific workflow approach. We build a prototype system using Kepler scientific workflow system and demonstrate the feas...
Article
Hyperspectral images are collected using Airborne Visible/Infrared Imaging Spectrometer (Aviris) optical sensors [1]. 224 contiguous channels are measured across the spectral range, from 400 to 2500 nanometers. We present a system for the automatic classification of land cover using hyperspectral images, and propose an architecture for deploying th...
Article
Typescript (photocopy). Thesis (Ph. D.)--Oregon State University, 2002. Includes bibliographical references (leaves 181-190).
Conference Paper
Full-text available
The Science Environment for Ecological Knowledge (SEEK) is designed to help ecologists overcome data integration and synthesis challenges. The SEEK environment enables ecologists to efficiently capture, organize, and search for data and analytical processes. We describe SEEK and discuss how it can benefit ecological niche modeling in which biodiver...

Network

Cited By