Collaborative Research: Designing and Assessing Effective "Hands-On" Training for Computational Science

生物分子模拟的普及和应用范围正在迅速增长。它不再是少数专业团体的专利，而是广泛存在的-它是世界的一部分。工具箱？被研究人员广泛应用于各个领域，通常与其他实验研究技术紧密结合。随着生物分子模拟应用的增长，软件开发也出现了相应的繁荣。为研究人员提供正确的工具和培训来开发这样的软件将减少？车轮再造？因此，提高研究生产力，使研究更具成本效益。然而，一个重要的问题是，我们如何判断所使用的工具和培训的有效性？这笔赠款将有助于在CECAM生物分子模拟扩展软件开发研讨会的背景下开发这些问题的答案，该研讨会将于2015年10月12日至25日在德国Juelich举行。本次研讨会将提供实践教程，结合积极的学习方法。该研讨会将推进跨学科计算科学培训的方式，以及如何开发支持计算科学的工具。这笔赠款还将支持多达12个美国的科学家参加这次研讨会，并有助于实现研讨会的目标。这次研讨会的影响将是显着的三个方向：它将（i）提供支持，美国初级和早期职业科学家学习大量的新工具和技术的核心，他们的科学，（ii）导致改善？工具？（a）确定正在开发的工具和评估工具有效性的方法;（b）逐步采用数据驱动和动态组织研讨会的方法。这提供了一个简单的复杂性的自然演变？黑客马拉松？它将为未来如何组织多学科实践研讨会培训提供一个模板。从这次研讨会中吸取的经验教训将被用作改进罗格斯大学、赖斯大学和其他地方未来计算科学课程的基础。研讨会的参与者将被选中，以便在我们想要参与的社区中具有广泛的代表性。PI将为早期职业科学家举办特别的推广活动该讲习班将（i）提高非计算机专业科学家更好地利用现有工具和软件的能力，并帮助更好地制定他们的需求和要求，（ii）使工具工匠能够回答一个关键和反复出现的问题，即，如何将工具的影响和适用性与用于教学和培训的技术的有效性分开？(iii)开发不仅能提高科学生产力，而且能使领域科学家了解如何使用工具，从当地环境到远程资源无缝地达到适当的规模，㈣提出一个议程和一套根据实时反馈和评估进行调整的练习，并作为一个模板，可以推广和实例化到其他领域。

Biomolecular simulation is rapidly growing in popularity and scope of application. It is no longer the preserve of a few specialist groups but is widespread - part of the ?toolkit? used by researchers in a wide variety of fields, often closely integrated with other experimental research techniques. As the use of biomolecular simulation grows, a corresponding boom in software development is taking place. Giving researchers the right tools and training to develop such software will reduce the amount of ?wheel-reinvention?, consequently improve research productivity, and make research more cost-effective.An important question that arises however, is how do we judge the effectiveness of the tools and training used? This grant will help develop answers to such questions in the context of CECAM Extended Software Development workshop on biomolecular simulations, that will be held in Juelich, Germany on October 12-25 2015. This workshop will provide hands-on tutorials incorporating active learning approaches. The workshop will advance the way interdisciplinary computational science training is conducted as well as how tools to support computational science are developed. This grant will also support the participation of up to twelve US-based scientists to attend this workshop and contribute to achieving workshop objectives.The impact of this workshop will be significant in three directions: It will (i) provide support for US junior and early career scientists to learn a plethora of new tools and techniques central to their science, (ii) lead to an improvement to the ?tools? being developed as well as the methodology by which the effectiveness of tools is assessed, and (iii) move towards a method of data-driven and dynamic organization of workshops. This provides a natural evolution in the sophistication of simple ?hackathons?. It will provide a template for how future multidisciplinary hands-on workshops training can be organized.Lessons learned from this workshop will be used as a basis to improve future computational science classes at Rutgers, Rice and elsewhere. The workshop participants will be selected in order to have a broad representation of the communities we want to engage. The PIs will have a special outreach activity to early career scientists (newly established faculty and post-doctoral researchers) as well as graduate students, and will encourage the participation of minorities and women.This workshop will (i) improve the ability of non-computing specialist scientists to utilize existing tools and software better, but also help formulate their needs and requirements better, (ii) enable tool-smiths to answer a critical and recurring question, viz., how to separate the impact and suitability of tools from the effectiveness of the techniques used to teach and train?, (iii) develop exercises that will not only improve scientific productivity but also enable domain scientists to understand how to employ tools that reach adequate scales seamlessly from their local environments to remote resources, (iv) propose an agenda and a set of exercises that will be adaptive based upon real-time feedback and assessment, and serve as a template that can be generalized and instantiated to other domains.