scholarly journals Engaging the next generation of editorial talent through a hands‐on fellowship model

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


2019 ◽  
Vol 73 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Matthias Van Haele ◽  
Sara Vander Borght ◽  
An Ceulemans ◽  
Michiel Wieërs ◽  
Sofie Metsu ◽  
...  

AimsPrecision medicine therapy is remodelling the diagnostic landscape of cancer. The success of these new therapies is often based on the presence or absence of a specific mutation in a tumour. The Idylla platform is designed to determine the mutational status of a tumour as quickly and accurately as possible, as a rapid, accurate diagnosis is of the utmost importance for the treatment of patients. This is the first complete prospective study to investigate the robustness of the Idylla platform for EGFR, KRAS and BRAF mutations in non-small cell lung cancer, metastatic colorectal cancer and metastatic melanoma, respectively.MethodsWe compared prospectively the Idylla platform with the results we obtained from parallel high-throughput next-generation sequencing, which is the current gold standard for mutational testing. Furthermore, we evaluated the benefits and disadvantages of the Idylla platform in clinical practice. Additionally, we reviewed all the published Idylla performance articles.ResultsThere was an overall agreement of 100%, 94% and 94% between the next-generation panel and the Idylla BRAF, KRAS and EGFR mutation test. Two interesting discordant findings among 48 cases were observed and will be discussed together with the advantages and shortcoming of both techniques.ConclusionOur observations demonstrate that the Idylla cartridge for the EGFR, KRAS and BRAF mutations is highly accurate, rapid and has a limited hands-on time compared with next-generation sequencing.


2020 ◽  
pp. 146978742098254
Author(s):  
Eva Kassens-Noor ◽  
Noah Durst ◽  
Travis Decaminada ◽  
Jake Parcell

Digital software has been proliferating in the classroom, frequently replacing students’ hands on experiences. This article reports on a study that tested how hands on experiences with physical emerging technology, namely personal robots, drones, cameras, and echo dots, may improve or impair student learning and enhance or diminish the classroom experience. This study examines the potential impact of hands on experiences on student knowledge, skills, and values regarding emerging technology in the context of a course that employed traditional learning, defined as theoretical applications of next generation technology, namely autonomous vehicles during the first half, and hands on experiences with physical emerging technologies related to domotics, during the second half. Using three diagnostics, tweets, reflections, and discussion posts, we suggest that hands on experiences allowed students to more easily identify potential challenges with, and reduced their fears regarding, emerging technology. Additionally, our findings suggest that traditional learning methods may decrease familiarity with most technologies, whereas hands on experiences increased familiarity. Hands on experiences also appear to reverse several other trends associated with traditional learning. Ultimately, given the proliferation of technologies in the modern world and the impacts of automation, hands on experiences may be even more valuable than expected to students as they enter the workforce.


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