Design and Test of a “Hands-On” Applied Climate Course in an Undergraduate Meteorology Program

1998 ◽  
Vol 79 (1) ◽  
pp. 79-84 ◽  
Author(s):  
David Changnon
Keyword(s):  
Decision Makers ◽  
Climate Information ◽  
Research Experience ◽  
Analytical Skills ◽  
Economic Decisions ◽  
Career Opportunities ◽  
Job Opportunities ◽  
Hands On ◽  
Career Options

Job opportunities for undergraduate meteorology students are decreasing. An innovative course in applied climatology has been designed and tested to help prepare such students for the career options developing in the private sector. Students are trained to use their meteorological knowledge and analytical skills to work interactively with weather-sensitive users in utilities, agribusinesses, water-resource agencies, recreation firms, and transportation companies. The students develop and test climate relationship-decision models in a real-world environment for these organizations. The models they develop bridge existing information “gaps” between climatologists and weather-sensitive managers who 1) do not understand climate information, and/or 2) do not know how to apply it to their environmental or economic decisions. As a result, students receive applied research experience and important “education-to-career” opportunities; that is, students can apply what is learned through direct and often beneficial interactions with decision makers. These efforts address problems similar to those they likely will encounter after employment. Other long-term objectives of this course are to develop a more effective information flow between climatologists and weather-sensitive users and to assist climatologists by identifying the types of needs for climate information.

Understanding the Climate-Sensitive Decisions and Information Needs of Freshwater Resource Managers in Hawaii

2013 ◽  
Vol 5 (4) ◽  
pp. 293-308 ◽  
Author(s):  
Melissa L. Finucane ◽  
Rachel Miller ◽  
L. Kati Corlew ◽  
Victoria W. Keener ◽  
Maxine Burkett ◽  
...  
Keyword(s):  
Climate Change ◽  
Information Needs ◽  
Decision Makers ◽  
Uncertain Information ◽  
Climate Information ◽  
Freshwater Resources ◽  
Freshwater Resource ◽  
Wide Range ◽  
Climate Literacy

Abstract Understanding how climate science can be useful in decisions about the management of freshwater resources requires knowledge of decision makers, their climate-sensitive decisions, and the context in which the decisions are being made. A mixed-methods study found that people managing freshwater resources in Hawaii are highly educated and experienced in diverse professions, they perceive climate change as posing a worrisome risk, and they would like to be better informed about how to adapt to climate change. Decision makers with higher climate literacy seem to be more comfortable dealing with uncertain information. Those with lower climate literacy seem to be more trusting of climate information from familiar sources. Freshwater managers in Hawaii make a wide range of climate-sensitive decisions. These decisions can be characterized on several key dimensions including purpose (optimization and evaluation), time horizon (short term and long term), level of information uncertainty (known, uncertain, deeply uncertain, and completely unknown), and information type (quantitative and qualitative). The climate information most relevant to decision makers includes vulnerability assessments incorporating long-term projections about temperature, rainfall distribution, storms, sea level rise, and streamflow changes at an island or statewide scale. The main barriers to using available climate information include insufficient staff time to locate the information and the lack of a clear legal mandate to use the information. Overall, the results suggest that an integrated and systematic approach is needed to determine where and when uncertain climate information is useful and how a larger set of organizational and individual variables affect decision making.

scholarly journals Students Who Demonstrate Strong Talent and Interest in STEM Are Initially Attracted to STEM through Extracurricular Experiences

2014 ◽  
Vol 13 (4) ◽  
pp. 687-697 ◽  
Author(s):  
Amy VanMeter-Adams ◽  
Cara L. Frankenfeld ◽  
Jessica Bases ◽  
Virginia Espina ◽  
Lance A. Liotta
Keyword(s):  
Undergraduate Students ◽  
Research Experience ◽  
Childhood Experiences ◽  
Early Experiences ◽  
Community Based Programs ◽  
Hands On ◽  
And Mathematics ◽  
Internship Programs ◽  
Survey Responses

What early experiences attract students to pursue an education and career in science, technology, engineering, and mathematics (STEM)? Does hands-on research influence them to persevere and complete a major course of academic study in STEM? We evaluated survey responses from 149 high school and undergraduate students who gained hands-on research experience in the 2007–2013 Aspiring Scientists Summer Internship Programs (ASSIP) at George Mason University. Participants demonstrated their strong interest in STEM by volunteering to participate in ASSIP and completing 300 h of summer research. The survey queried extracurricular experiences, classroom factors, and hands-on projects that first cultivated students’ interest in the STEM fields, and separately evaluated experiences that sustained their interest in pursuing a STEM degree. The majority of students (65.5%, p < 0.0001) reported extracurricular encounters, such as the influence of a relative or family member and childhood experiences, as the most significant factors that initially ignited their interest in STEM, while hands-on lab work was stated as sustaining their interest in STEM (92.6%). Based on these findings collected from a cohort of students who demonstrated a strong talent and interest in STEM, community-based programs that create awareness about STEM for both children and their family members may be key components for igniting long-term academic interest in STEM.

Improvement Of The Method Of Winter Concreting With The Use Of Heating Wires

2019 ◽  
pp. 51-58
Keyword(s):  
Harmful Effect ◽  
Electric Heating ◽  
Strength Development ◽  
Construction Sites ◽  
Dominant Position ◽  
Heating Wire ◽  
Hands On ◽  
Basic Parameters ◽  
Monolithic Structures

Long-term experience of application of a method of electric heating by heating wires of the monolithic concrete and reinforced concrete structures erected in winter conditions is analyzed. This method, developed by the author of the article, took a dominant position on the construction sites due to the simplicity and efficiency in comparison with the mass applied in those years, the method of electric heating of concrete with steel round and strip electrodes. The data on labor intensity, material and energy costs in comparison with the method of rod electric heating are presented. Step-by-step technological operations on preparatory works and electric heating of monolithic structures with the use of extensive hands-on material, which formed the basis for the development of technological regulations, supplemented by a number of new proposals to improve the technology of works, are concretized. In order to work out the optimal mode of heat treatment, the studies of the concrete thermal conductivity factor in the process of its heating and strength development were carried out. The method for calculation of the basic parameters of concrete electric heating is presented. For simplification of calculations, for a wide contingent of masters, superintendents and technical personnel, the nomogram , making it possible with sufficient accuracy under the construction conditions to calculate the necessary heating parameters, was developed. The necessity of grounding the heating wire remaining in the concrete to reduce the harmful effect of magnetic radiation from various appliances and household appliances on the human body is noted.

Research for a sustainable European sugar sector

2010 ◽  
pp. 487-495
Author(s):  
Martin Bruhns ◽  
Peter Glaviè ◽  
Arne Sloth Jensen ◽  
Michael Narodoslawsky ◽  
Giorgio Pezzi ◽  
...  
Keyword(s):  
Sugar Industry ◽  
Research Priorities ◽  
Decision Makers ◽  
Sustainable Chemistry ◽  
Technology Platforms ◽  
Research Themes ◽  
Starting Point ◽  
Manufacturing Applications ◽  
European Technology

The paper is based on the results of international project entitled “Towards Sustainable Sugar Industry in Europe (TOSSIE)”. 33 research topics of major importance to the sugar sector are listed and briefly described, and compared with research priorities of the European Technology Platforms: “Food for Life”, “Sustainable Chemistry”, “Biofuels”, and “Plant for the Future”. Most topics are compatible with the research themes included in the COOPERATION part of the 7th Framework Program of the EU (2007-2013). However, some topics may require long-term R&D with the time horizon of up to 15 years. The list of topics is divided into four parts: Sugar manufacturing, Applications of biotechnology and biorefinery processing, Sugarbeet breeding and growing, Horizontal issues. Apart from possible use of the list by policy- and decision makers with an interest in sugarbeet sector, the description of each research topic can be used as a starting point in setting up a research project or other R&D activities.

scholarly journals Transdisciplinary AI Observatory—Retrospective Analyses and Future-Oriented Contradistinctions

Philosophies ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
Nadisha-Marie Aliman ◽  
Leon Kester ◽  
Roman Yampolskiy
Keyword(s):  
Ethical Issues ◽  
Descriptive Analysis ◽  
Research Direction ◽  
Short Term ◽  
Safety Critical ◽  
Safety Research ◽  
Hands On ◽  
Near Term ◽  
Ai Safety

In the last years, artificial intelligence (AI) safety gained international recognition in the light of heterogeneous safety-critical and ethical issues that risk overshadowing the broad beneficial impacts of AI. In this context, the implementation of AI observatory endeavors represents one key research direction. This paper motivates the need for an inherently transdisciplinary AI observatory approach integrating diverse retrospective and counterfactual views. We delineate aims and limitations while providing hands-on-advice utilizing concrete practical examples. Distinguishing between unintentionally and intentionally triggered AI risks with diverse socio-psycho-technological impacts, we exemplify a retrospective descriptive analysis followed by a retrospective counterfactual risk analysis. Building on these AI observatory tools, we present near-term transdisciplinary guidelines for AI safety. As further contribution, we discuss differentiated and tailored long-term directions through the lens of two disparate modern AI safety paradigms. For simplicity, we refer to these two different paradigms with the terms artificial stupidity (AS) and eternal creativity (EC) respectively. While both AS and EC acknowledge the need for a hybrid cognitive-affective approach to AI safety and overlap with regard to many short-term considerations, they differ fundamentally in the nature of multiple envisaged long-term solution patterns. By compiling relevant underlying contradistinctions, we aim to provide future-oriented incentives for constructive dialectics in practical and theoretical AI safety research.

scholarly journals Integrated Impact Assessment for Sustainable Hydropower Planning in the Vjosa Catchment (Greece, Albania)

2021 ◽  
Vol 13 (3) ◽  
pp. 1514
Author(s):  
Rebecca Peters ◽  
Jürgen Berlekamp ◽  
Ana Lucía ◽  
Vittoria Stefani ◽  
Klement Tockner ◽  
...  
Keyword(s):  
Impact Assessment ◽  
Planning Process ◽  
Renewable Energy Sources ◽  
Decision Makers ◽  
Catchment Scale ◽  
Northern Greece ◽  
Hydropower Plants ◽  
Hydropower Planning

Mitigating climate change, while human population and economy are growing globally, requires a bold shift to renewable energy sources. Among renewables, hydropower is currently the most economic and efficient technique. However, due to a lack of impact assessments at the catchment scale in the planning process, the construction of hydropower plants (HPP) may have unexpected ecological, socioeconomic, and political ramifications in the short and in the long term. The Vjosa River, draining parts of Northern Greece and Albania, is one of the few predominantly free-flowing rivers left in Europe; at the same time its catchment is identified an important resource for future hydropower development. While current hydropower plants are located along tributaries, planned HPP would highly impact the free-flowing main stem. Taking the Vjosa catchment as a case study, the aim of this study was to develop a transferable impact assessment that ranks potential hydropower sites according to their projected impacts on a catchment scale. Therefore, we integrated established ecological, social, and economic indicators for all HPP planned in the river catchment, while considering their capacity, and developed a ranking method based on impact categories. For the Vjosa catchment, ten hydropower sites were ranked as very harmful to the environment as well as to society. A sensitivity analysis revealed that this ranking is dependent upon the selection of indicators. Small HPP showed higher cumulative impacts than large HPP, when normalized to capacity. This study empowers decision-makers to compare both the ranked impacts and the generated energy of planned dam projects at the catchment scale.

scholarly journals Fermentation revival in the classroom: investigating ancient human practices as CUREs for modern diseases

2020 ◽  
Vol 367 (21) ◽  
Author(s):  
Jennifer K Lyles ◽  
Monika Oli
Keyword(s):  
Undergraduate Research ◽  
Bioinformatic Analysis ◽  
Research Experience ◽  
Group Presentation ◽  
Student Knowledge ◽  
Laboratory Equipment ◽  
Lecture Material ◽  
Hands On ◽  
Human Practices ◽  
Survey Responses

ABSTRACT A course-based undergraduate research experience (CURE) was designed to integrate key microbiological principles and techniques into an authentic research experience in a classroom setting and was implemented in an undergraduate microbiology laboratory course. Students conducted a 6-week study in order to determine the identity and quantity of unique probiotic species from various types of kefir. This course module followed an inquiry-based pedagogical approach in which students use the scientific process to investigate an unknown question with no predetermined outcome. During each lab, relevant microbiological topics and laboratory concepts were presented. Students then performed various laboratory techniques, reinforcing the lecture material with hands-on experience. In addition, students participated in reflection through group presentation of their results, bioinformatic analysis and literature review. Based on data collected from pre- and post-study survey responses, both student knowledge and attitudes towards the topics covered improved due to participation in this CURE. Importantly, this CURE can be implemented at many levels of education, requiring only minimal resources and common laboratory equipment.

scholarly journals Assessing the Capacity of Adaptive Policy Pathways to Adapt on Time by Mapping Trigger Values to Their Outcomes

2019 ◽  
Vol 11 (6) ◽  
pp. 1716 ◽  
Author(s):  
Luciano Raso ◽  
Jan Kwakkel ◽  
Jos Timmermans
Keyword(s):  
Monitoring System ◽  
Decision Makers ◽  
Level Of Confidence ◽  
Adaptive Policy ◽  
Misclassification Errors ◽  
The Future ◽  
Adaptive Action ◽  
The Face

Climate change raises serious concerns for policymakers that want to ensure the success of long-term policies. To guarantee satisfactory decisions in the face of deep uncertainties, adaptive policy pathways might be used. Adaptive policy pathways are designed to take actions according to how the future will actually unfold. In adaptive pathways, a monitoring system collects the evidence required for activating the next adaptive action. This monitoring system is made of signposts and triggers. Signposts are indicators that track the performance of the pathway. When signposts reach pre-specified trigger values, the next action on the pathway is implemented. The effectiveness of the monitoring system is pivotal to the success of adaptive policy pathways, therefore the decision-makers would like to have sufficient confidence about the future capacity to adapt on time. “On time” means activating the next action on a pathway neither so early that it incurs unnecessary costs, nor so late that it incurs avoidable damages. In this paper, we show how mapping the relations between triggers and the probability of misclassification errors inform the level of confidence that a monitoring system for adaptive policy pathways can provide. Specifically, we present the “trigger-probability” mapping and the “trigger-consequences” mappings. The former mapping displays the interplay between trigger values for a given signpost and the level of confidence regarding whether change occurs and adaptation is needed. The latter mapping displays the interplay between trigger values for a given signpost and the consequences of misclassification errors for both adapting the policy or not. In a case study, we illustrate how these mappings can be used to test the effectiveness of a monitoring system, and how they can be integrated into the process of designing an adaptive policy.

ROBUST INTERVAL-BASED MINIMAX-REGRET ANALYSIS METHOD FOR FILTER MANAGEMENT OF FLUID POWER SYSTEM

2013 ◽  
Vol 30 (06) ◽  
pp. 1350021
Author(s):  
SONGLIN NIE ◽  
HUI JI ◽  
YEQING HUANG ◽  
ZHEN HU ◽  
YONGPING LI
Keyword(s):  
Power System ◽  
Optimal Strategies ◽  
Decision Makers ◽  
Fluid Power ◽  
Maintenance Cost ◽  
Minimax Regret ◽  
Fluid Power System ◽  
System Maintenance ◽  
Management Alternatives

Fluid contamination is one of the main reasons for the wear failure and the related downtime in a hydraulic power system. Filters play an important role in controlling the contamination effectively, increasing the reliability of the system, and maintaining the system economically. Due to the uncertainties of system parameters, the complicated relationship among components, as well as the lack of effective approach, managing filters is becoming one of the biggest challenges for engineers and decision makers. In this study, a robust interval-based minimax-regret analysis (RIMA) method is developed for the filter management in a fluid power system (FPS) under uncertainty. The RIMA method can handle the uncertainties existed in contaminant ingressions of the system and contaminant holding capacity of filters without making assumption on probabilistic distributions for random variables. Through analyzing the system cost of all possible filter management alternatives, an interval element regret matrix can be obtained, which enables decision makers to identify the optimal filter management strategy under uncertainty. The results of a case study indicate that the reasonable solutions generated can help decision makers understand the consequence of short-term and long-term decisions, identify optimal strategies for filter allocation and selection with minimized system-maintenance cost and system-failure risk.

scholarly journals Routes to Research for Novice Undergraduate Neuroscientists

2006 ◽  
Vol 5 (2) ◽  
pp. 175-187 ◽  
Author(s):  
Kyle J. Frantz ◽  
Robert L. DeHaan ◽  
Melissa K. Demetrikopoulos ◽  
Laura L. Carruth
Keyword(s):  
Undergraduate Students ◽  
Attitudes Toward Science ◽  
Laboratory Research ◽  
Research Experience ◽  
Neuroscience Research ◽  
Long Term Follow Up ◽  
Apprenticeship Model ◽  
Design Experiments

Undergraduate students may be attracted to science and retained in science by engaging in laboratory research. Experience as an apprentice in a scientist's laboratory can be effective in this regard, but the pool of willing scientists is sometimes limited and sustained contact between students and faculty is sometimes minimal. We report outcomes from two different models of a summer neuroscience research program: an Apprenticeship Model (AM) in which individual students joined established research laboratories, and a Collaborative Learning Model (CLM) in which teams of students worked through a guided curriculum and then conducted independent experimentation. Assessed outcomes included attitudes toward science, attitudes toward neuroscience, confidence with neuroscience concepts, and confidence with science skills, measured via pre-, mid-, and postprogram surveys. Both models elevated attitudes toward neuroscience, confidence with neuroscience concepts, and confidence with science skills, but neither model altered attitudes toward science. Consistent with the CLM design emphasizing independent experimentation, only CLM participants reported elevated ability to design experiments. The present data comprise the first of five yearly analyses on this cohort of participants; long-term follow-up will determine whether the two program models are equally effective routes to research or other science-related careers for novice undergraduate neuroscientists.

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