A5021606327- Statistics Education and Methodologies
- Hearing Loss and Rehabilitation
- Child Nutrition and Water Access
- Genetics, Bioinformatics, and Biomedical Research
- Hearing, Cochlea, Tinnitus, Genetics
- Species Distribution and Climate Change
- Remote Sensing in Agriculture
- Mentoring and Academic Development
- Higher Education Research Studies
- Noise Effects and Management
- Complex Systems and Decision Making
- Scientific Computing and Data Management
- Census and Population Estimation
- Colonialism, slavery, and trade
- COVID-19 epidemiological studies
- Plant Water Relations and Carbon Dynamics
- Data Analysis with R
- Career Development and Diversity
- Educational Technology and Optimization
- Birth, Development, and Health
- Animal Behavior and Reproduction
- Wildlife Ecology and Conservation
- Interdisciplinary Research and Collaboration
- Neuroendocrine regulation and behavior
- Advanced MRI Techniques and Applications
University of Colorado Boulder
2016-2025
Jet Propulsion Laboratory
2024
University of Colorado System
2015-2023
Purdue University West Lafayette
2022
Universidade Estadual de Campinas (UNICAMP)
2022
Applied Mathematics (United States)
2020
Google (United States)
2020
Nasarawa State University
2019
Virginia Tech
2008-2016
American Society For Engineering Education
2015
Researchers collaborate on scientific projects that are often measured by both the quantity and quality of resultant peer-reviewed publications. However, not all collaborators contribute to these publications equally, making metrics such as total number H-index insufficient measurements individual impact. To remedy this, we use an axiomatic approach assign relative credits coauthors a given paper, referred A-index for its foundation. In this compute weighted sums journal impact factors,...
Diarrheal disease is an important health challenge, accounting for the majority of childhood deaths globally. Climate change expected to increase global burden diarrheal but little known regarding climate drivers, particularly in Africa. Using data from Botswana spanning a 30-year period (1974–2003), we evaluated monthly reports among patients presenting facilities and compared this climatic variables. case incidence presents with bimodal cyclical pattern peaks March (ANOVA p < 0.001)...
Abstract Hearing loss has been associated with individual cardiovascular disease (CVD) risk factors and, to a lesser extent, CVD metrics. However, these relationships are understudied in clinical populations. We conducted retrospective study of electronic health records evaluate the relationship between hearing and burden. was defined as puretone average (PTA 0.5,1,2,4 ) > 20 dB level (HL). Optimal nondiabetic, nonsmoking, systolic blood pressure (SBP) < 120 diastolic (D)BP 80 mm Hg,...
Pair-bond formation depends vitally on neuromodulatory signaling within the nucleus accumbens, but neuronal dynamics underlying this behavior remain unclear. Using 1-photon in vivo Ca 2+ imaging monogamous prairie voles, we found that pair bonding does not elicit differences overall accumbens activity. Instead, identified distinct ensembles of neurons region are recruited during approach to either a partner or novel vole. The partner-approach ensemble increased size following bond formation,...
Across the globe, legal land rights and tenure of many Indigenous peoples are yet to be recognized. A growing body research demonstrates that lands improves livelihoods protects forests in addition inherently recognizing human rights. However, effect on environmental outcomes has scarcely been tested regions with high development pressure, such as those persisting forest-agriculture conflicts. In this paper, we conduct an event study a difference-in-differences analysis estimate average...
Statistics and data science are especially collaborative disciplines that typically require practitioners to interact with many different people or groups. Consequently, interdisciplinary collaboration skills part of the personal professional essential for success as an applied statistician scientist. These learnable teachable, learning improving provides a way enhance one's practice statistics science. To help individuals learn these organizations teach them, we have developed framework...
I describe how developments over the past 25 years in computing, funding, personnel, purpose, and training have affected academic statistical consulting centers discuss these trends point to a range of potential futures. At one extreme, fail adapt competition from other disciplines an increasingly fragmented market for spiral downward toward irrelevancy extinction. purpose-driven constantly increase their impact virtuous cycle, leading way profession statistics having greater positive on...
Data science is collaborative and its students should learn teamwork collaboration. Yet it can be a challenge to fit the teaching of such skills into data curriculum. Team-Based Learning (TBL) pedagogical strategy that help educators teach better by flipping classroom employ small-group learning actively engage in doing science. A consequence this method helping achieve workforce-relevant goals effective communication, teamwork, We describe essential elements TBL: accountability structures...
Statisticians and data scientists have been called upon to increase the impact they through their collaborative projects. Statistics science practitioners educators can achieve enable greater by learning how create shared understanding with collaborators as well teaching this concept students, colleagues, mentees. In article, we explore explain concepts of common knowledge understanding, which is basis for action accomplish impacts. We also related misunderstanding doubtful understanding....
Training complex skills is typically accomplished by means of a trainer or mediator who tailors instruction to the individual trainee. However, facilitated training costly and labor intensive, use infeasible in remote extreme environments. Imparting applications like long-duration human spaceflight, military field operations, medicine may require automated algorithms. Virtual reality (VR) an effective, easily programmable, immersive medium that has been used widely across fields. there...
Whitebark pine (Pinus albicaulis) is a foundation and keystone species of upper subalpine treeline ecosystems throughout the western United States Canada. During past several decades, Cronartium ribicola, an introduced fungal pathogen that causes white blister rust in five-needled pines, has caused significant declines whitebark its range. Our research objectives were to examine geographic variation infection (total canker density) found at six alpine treelines east Continental Divide...
During spring 2020, emergency remote teaching became the norm for hundreds of higher education institutions in United States due to COVID-19 pandemic. Librarians were suddenly tasked with moving in-person services and resources online. For librarians instruction responsibilities, this online mandate meant deciding between synchronous asynchronous sessions, learning new technologies tools active learning, vetting these same security issues ADA compliance. In an effort understand our shared...
Data-driven decision making for sustainable development requires domain expertise to ask the right questions; high-quality, relevant data; appropriate, nuanced statistical analyses; and power make implement a decision. Statistics enables accelerates all of these aspects. We propose new model building statistics data science capacity engage in data-driven development. Statisticians scientists must be able understand projects they are working with on both deep broad level communicate results...
Accurate models are important to predict how global climate change will continue alter plant phenology and near-term ecological forecasts can be used iteratively improve evaluate predictions that made a priori. The Ecological Forecasting Initiative's National Observatory Network (NEON) Challenge, is an open challenge the community forecast daily greenness values, measured through digital images collected by PhenoCam at NEON sites before data collected. For first round of challenge, which...
Novice problem solvers often fail to recognize structural similarities between problems they know and a new because are more concerned with the surface features rather than of problem. The story line whereas involve relationships objects in We used an online technology investigate whether students' self-explanations reception feedback influenced recognition statistical problems. On average students our experimental group gave 12 comments form self-explanation peer feedback. Students this...
The W.J. Dixon Award for Excellence in Statistical Consulting is given by the American Association to "a distinguished individual who has demonstrated excellence statistical consulting or developed and contributed new methods, software, ways of thinking that improve practice general." In this article, five seven past recipients career-capping award share their experiences perspectives through 10 stepping stones move a practicing statistician from consultant collaborator leader. We highlight...
Mentoring is an extremely valuable activity for both individuals and organizations. within organizations can develop integrate employees into their corporate culture. outside the mentees' work groups or through professional development give broader perspective support, especially in times of transition. But mentoring programs require tremendous effort to start, organize, maintain. Few last more than two years. This article provides a structured approach starting sustaining successful...
Accurate phenology models are important to predict how global climate change will continue alter the timing of plant phenological events, such as spring greenup in deciduous broadleaf forests. While there is merit long-term predictions, investigating can near-term (1– 35 days) canopy greenness throughout allows us validate performance and understanding now. The Ecological Forecasting Initiative’s NEON Challenge, an open challenge community daily values, measured through digital images...
Data science is inherently collaborative as individuals across fields and sectors use quantitative data to answer relevant questions. As a result, there growing body of research regarding how teach interdisciplinary collaboration skills. However, much the work evaluating methods teaching statistics relies primarily on self-reflection data. Additionally, prior lacks detailed for assessing quality In this case study, we present method collaboration, framework identifying elements effective...