scholarly journals A Progress Report On A Hands On Interdisciplinary Program For Severe Weather And Next Generation Multi Function Radar

2020 ◽  
Author(s):  
Mark Yeary ◽  
Robert Palmer ◽  
Kevin Kloesel ◽  
Tian Yu ◽  
Kent Johnson ◽  
...  
2020 ◽  
Author(s):  
Mark Yeary ◽  
Tian-you YU ◽  
Robert Palmer ◽  
James Sluss ◽  
Guifu Zhang ◽  
...  

2019 ◽  
Vol 4 (1) ◽  
pp. 45
Author(s):  
Paul G. Stiles ◽  
Roger A. Boothroyd ◽  
Kathleen A. Moore ◽  
Catherine Batsche

When undergraduates engage in hands-on research experiences, particularly intense mentored experiences, they are more likely to pursue graduate studies in the sciences and take a more assertive role in their learning and career activities. Such early career experiences have been identified as essential in the development of the next generation of researchers. The authors describe the decade long development, structure, and evaluation outcomes of a summer research experience for undergraduates designed to provide an intense, yet supportive, research experience that helps inspire the next generation of scientists. Future considerations for the program are also provided.


2020 ◽  
Vol 111 (2) ◽  
pp. 227-236
Author(s):  
Amanda Stahlke ◽  
Donavan Bell ◽  
Tashi Dhendup ◽  
Brooke Kern ◽  
Samuel Pannoni ◽  
...  

Abstract The increasing availability and complexity of next-generation sequencing (NGS) data sets make ongoing training an essential component of conservation and population genetics research. A workshop entitled “ConGen 2018” was recently held to train researchers in conceptual and practical aspects of NGS data production and analysis for conservation and ecological applications. Sixteen instructors provided helpful lectures, discussions, and hands-on exercises regarding how to plan, produce, and analyze data for many important research questions. Lecture topics ranged from understanding probabilistic (e.g., Bayesian) genotype calling to the detection of local adaptation signatures from genomic, transcriptomic, and epigenomic data. We report on progress in addressing central questions of conservation genomics, advances in NGS data analysis, the potential for genomic tools to assess adaptive capacity, and strategies for training the next generation of conservation genomicists.


2020 ◽  
Author(s):  
Helena Rasche ◽  
Björn Grüning

AbstractBackgroundHands-on training, whether it is in Bioinformatics or other scientific domains, requires significant resources and knowledge to setup and run. Trainers must have access to infrastructure that can support the sudden spike in usage, with classes of 30 or more trainees simultaneously running resource intensive tools. For efficient classes, the jobs must run quickly, without queuing delays, lest they disrupt the timetable set out for the class. Often times this is achieved via running on a private server where there is no contention for the queue, and therefore no or minimal waiting time. However, this requires the teacher or trainer to have the technical knowledge to manage compute infrastructure, in addition to their didactic responsibilities. This presents significant burdens to potential training events, in terms of infrastructure cost, person-hours of preparation, technical knowledge, and available staff to manage such events.FindingsGalaxy Europe has developed Training Infrastructure as a Service (TIaaS) which we provide to the scientific commnuity as a service built on top of the Galaxy Platform. Training event organisers request a training and Galaxy administrators can allocate private queues specifically for the training. Trainees are transparently placed in a private queue where their jobs run without delay. Trainers access the dashboard of the TIaaS Service and can remotely follow the progress of their trainees without in-person interactions.ConclusionsTIaaS on Galaxy Europe provides reusable and fast infrastructure for Galaxy training. The instructor dashboard provides visibility into class progress, making in-person trainings more efficient and remote training possible. In the past 24 months, > 110 trainings with over 3000 trainees have used this infrastructure for training, across scientific domains, all enjoying the accessibility and reproducibility of Galaxy for training the next generation of bioinformaticians. TIaaS itself is an extension to Galaxy which can be deployed by any Galaxy administrator to provide similar benefits for their users. https://galaxyproject.eu/tiaas


2021 ◽  
Author(s):  
Bridget R. Deemer ◽  
Scott Hotaling ◽  
Kelsey Poulson‐Ellestad ◽  
Laura J. Falkenberg ◽  
James E. Cloern ◽  
...  
Keyword(s):  

2021 ◽  
Vol 83 (9) ◽  
pp. 594-599
Author(s):  
Chequita N. Brooks ◽  
Tamara A. Poles

The issue of antibiotic resistance among bacterial pathogens is often misunderstood. Here, we present an activity that debunks misconceptions regarding microorganisms, such as bacterial pathogens, and addresses how antibiotics work. We propose this activity be incorporated into middle or high school classrooms addressing both this real-world issue and elements from the Next Generation Science Standards. Students are encouraged to use hands-on experiences toward hypothesis development and testing to better understand how antibiotic resistance is spread among bacterial pathogens and commensals. Over half of the students who participated in this activity self-reported that they were likely to share the information they learned outside of their classroom, reflecting real-time impacts on science stewardship in students. This activity also presents students with an issue that has clear action items they can undertake to effect positive change.


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