Ten simple rules for training yourself in an emerging field

Woelmer, Whitney M.; Bradley, Lynda; Haber, Lisa T.; Klinges, David H.; Lewis, Abigail S. L.; Mohr, Elizabeth; Torrens, Christa L.; Wheeler, Kathryn I.; Willson, Alyssa M.

doi:10.1371/journal.pcbi.1009440

Cited by 9 publications

(9 citation statements)

References 41 publications

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“…These results could explain the high level of. Setting and revisiting specific goals can be essential for achieving academic and career objectives and thereby increasing job satisfaction ( 9 ). In addition, the use of daily goals sheets could make routine work more efficient and further enhance staff satisfaction ( 10 ).…”

Section: Discussionmentioning

confidence: 99%

Standardized evaluation of satisfaction within urology residents during clinical training: Implementation of a new urological residency rotation program at the university hospital Frankfurt

Siech

García

Leyh³

et al. 2022

Front. Surg.

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BackgroundStructured curricula are demanded to improve training programs of future urologists. This study aimed to evaluate the acceptance of the newly implemented residency rotation program at the University Hospital Frankfurt. Primary endpoint was resident's satisfaction with the current residency rotation program. Secondary endpoint was the fulfilment of the objectives and expectations by residents.MethodsA standardized 15-item, online-based survey was sent to every urologic resident of the University Hospital Frankfurt, completing their rotation between August 2020 and August 2022. In addition to baseline characteristics, training and working conditions were assessed. Descriptive statistics were applied.ResultsIn total 15 rotations of the Residency Rotation Program at the University Hospital Frankfurt were evaluated, including urologic practice (5/15), Intermediate Care Unit (4/15), urooncology (4/15) and clinical exchange to St. Gallen (2/15). Overall, the majority were very (67%) or rather satisfied (2%) with their rotation. Of the pre-rotation defined objectives, 71% were fulfilled, 18% partially fulfilled and 8% not fulfilled. With respect to the expectations, 67% were fulfilled, 19% partly fulfilled and 4% were not fulfilled. All residents would recommend their respective rotations.ConclusionOur results demonstrate that the residency rotation program at the University Hospital Frankfurt enjoys a high level of acceptance as well as a positive impact on urologic training. Satisfaction with the completed rotation was convincing, most of the expectations and objectives for the respective rotation could be fulfilled. These results help to ensure the quality of urologic curricula and to improve the structure of training programs for future urologists.

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Section: Discussionmentioning

confidence: 99%

Standardized evaluation of satisfaction within urology residents during clinical training: Implementation of a new urological residency rotation program at the university hospital Frankfurt

Siech

García

Leyh³

et al. 2022

Front. Surg.

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“…Ultimately, generating accurate freshwater quality forecasts requires extensive training of the forecasting team. Obtaining training in a multidisciplinary, emerging field like ecological forecasting can be challenging (Woelmer et al, 2021), motivating the need for broad sharing of educational materials (Moore et al, 2022;Willson, 2022) and opensource tools and software (e.g., Boettiger et al, 2015;Daneshmand et al, 2021;Hipsey et al, 2019;Moore et al, 2021) within active communities of practice (Figure 2: educational resources; communities of practice). Communities of practice may occur within government agencies, originate from a specific project such as the Hydrological Ensemble Prediction EXperiment (HEPEX; Schaake et al, 2007), take the form of grassroots networks such as the Ecological Forecasting Initiative (EFI; Dietze & Lynch, 2019), exist as formal professional societies, or be housed at academic institutions.…”

Section: Further Development Of Educational Resources and Communities...mentioning

confidence: 99%

Progress and opportunities in advancing near‐term forecasting of freshwater quality

Lofton

Howard

Thomas

et al. 2023

Global Change Biology

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Near‐term freshwater forecasts, defined as sub‐daily to decadal future predictions of a freshwater variable with quantified uncertainty, are urgently needed to improve water quality management as freshwater ecosystems exhibit greater variability due to global change. Shifting baselines in freshwater ecosystems due to land use and climate change prevent managers from relying on historical averages for predicting future conditions, necessitating near‐term forecasts to mitigate freshwater risks to human health and safety (e.g., flash floods, harmful algal blooms) and ecosystem services (e.g., water‐related recreation and tourism). To assess the current state of freshwater forecasting and identify opportunities for future progress, we synthesized freshwater forecasting papers published in the past 5 years. We found that freshwater forecasting is currently dominated by near‐term forecasts of water quantity and that near‐term water quality forecasts are fewer in number and in the early stages of development (i.e., non‐operational) despite their potential as important preemptive decision support tools. We contend that more freshwater quality forecasts are critically needed and that near‐term water quality forecasting is poised to make substantial advances based on examples of recent progress in forecasting methodology, workflows, and end‐user engagement. For example, current water quality forecasting systems can predict water temperature, dissolved oxygen, and algal bloom/toxin events 5 days ahead with reasonable accuracy. Continued progress in freshwater quality forecasting will be greatly accelerated by adapting tools and approaches from freshwater quantity forecasting (e.g., machine learning modeling methods). In addition, future development of effective operational freshwater quality forecasts will require substantive engagement of end users throughout the forecast process, funding, and training opportunities. Looking ahead, near‐term forecasting provides a hopeful future for freshwater management in the face of increased variability and risk due to global change, and we encourage the freshwater scientific community to incorporate forecasting approaches in water quality research and management.

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“…Ultimately, generating accurate freshwater quality forecasts requires extensive training of the forecasting team. Obtaining training in a multi-disciplinary, emerging field like ecological forecasting can be challenging (Woelmer et al, 2021), motivating the need for broad sharing of educational materials (Moore et al, 2022;Willson, 2022) and open-source tools and software (e.g., Boettiger et al, 2015;Daneshmand et al, 2021;Hipsey et al, 2019;Moore et al, 2021) within active communities of practice (Fig. 2: educational resources; communities of practice).…”

Section: Further Development Of Educational Resources and Communities...mentioning

confidence: 99%

Progress and opportunities in advancing near-term forecasting of freshwater quality

Lofton

Howard

Thomas

et al. 2022

Preprint

View full text Add to dashboard Cite

Near-term freshwater forecasts, defined as sub-daily to decadal future predictions of a freshwater variable with quantified uncertainty, are urgently needed to improve water quality management as freshwater ecosystems exhibit greater variability due to global change. Shifting baselines in freshwater ecosystems due to land use and climate change prevent managers from relying on historical averages for predicting future conditions, necessitating near-term forecasts to mitigate freshwater risks to human health and safety (e.g., flash floods, harmful algal blooms). To assess the current state of freshwater forecasting and identify opportunities for future progress, we synthesized freshwater forecasting papers published in the past five years. We found that freshwater forecasting is currently dominated by near-term forecasts of water quantity and that near-term water quality forecasts are fewer in number and in early stages of development (i.e., non-operational), despite their potential as important preemptive decision support tools. We contend that more freshwater quality forecasts are critically needed, and that near-term water quality forecasting is poised to make substantial advances based on examples of recent progress in forecasting methodology, workflows, and end user engagement. For example, current water quality forecasting systems can predict water temperature, dissolved oxygen, and algal bloom/toxin events five days ahead with reasonable accuracy. Continued progress in freshwater quality forecasting will be greatly accelerated by adapting tools and approaches from freshwater quantity forecasting (e.g., machine learning modeling methods). In addition, future development of effective operational freshwater quality forecasts necessitates substantive engagement of end users throughout the forecast process, funding, and training opportunities. Looking ahead, near-term forecasting provides a hopeful future for freshwater management in the face of increased variability and risk due to global change, and we encourage the freshwater scientific community to incorporate forecasting approaches in water quality research and management.

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Ten simple rules for training yourself in an emerging field

Cited by 9 publications

References 41 publications

Standardized evaluation of satisfaction within urology residents during clinical training: Implementation of a new urological residency rotation program at the university hospital Frankfurt

Standardized evaluation of satisfaction within urology residents during clinical training: Implementation of a new urological residency rotation program at the university hospital Frankfurt

Progress and opportunities in advancing near‐term forecasting of freshwater quality

Progress and opportunities in advancing near-term forecasting of freshwater quality

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