In this paper we explore the ability of educational frameworks focused on developing the entrepreneurial mindset to be used to develop students’ abilities to approach convergent problems. While there is not a single widely accepted definition of convergence, there are some general aspects noted by the NSF including: socially relevant, multidisciplinary, complex, and not being adequately addressed by current methods and practices. Convergent problems require existing disciplines to collaborate to create new knowledge, skills, and approaches in order to be appropriately addressed. We believe that there are aspects of the entrepreneurial mindset and the learning of it that can support the development of knowledge, skills, and attitudes to approach convergent problems. This is relevant because most work on convergent problems happens at the graduate level and beyond and our interest is to create experiences for undergraduates that prepare them to embark on this work after graduation. This study maps entrepreneurial mindset learning (EML) onto a framework based on prior work on convergence to identify the aspects of EML that directly support convergence work or preparation for convergence work. The existing dataset of KEEN cards is used as a proxy for existing work in this space, as well. If existing work in EML can address some or all of the knowledge, skills, and attitudes needed for convergent problem solving then engineering educators have a set of tools and practices that can contribute towards creating engineers who are better prepared to work on the hard problems of tomorrow. 
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                            What is Convergence?: A Systematic Review of the Definition of and Aspects of Convergent Work
                        
                    
    
            Abstract—Wicked problems, the National Academy of Engineering’s Grand Challenges, the United Nations’ Sustainability Goals, and similar complex, global-scale endeavors fall under the broad umbrella of “convergent” work. Over the past two decades there has been an increase in interest and funding for work in this space. The NSF has two programs focused in this area, Growing Convergence Research and the Convergence Accelerator. Boston University’s College of Engineering recently announced a focus on convergent projects and work. The National Academic of Engineering also has the Grand Challenge Scholars program with over 100 participating schools. The list continues to grow. The broad concept of convergence seems to be quite simple: combine the ideas, skills, and/or methods of multiple disciplines to create something new. More specific definitions vary and while the interest in convergence and convergent problems continues to increase, there is no easily operational definition of convergence. This is especially true with respect to undergraduate-level education where students have limited experience and knowledge to carry out such efforts. To better understand the variation that exists within the literature on convergence we conducted a systematic review to explore how convergence is defined in scholarly literature. We have identified a small number of categories within the definition space and conducted a thematic analysis of the aspects of each. The results show that there is a fairly consistent focus on the work being socially-relevant and on creating something new such as an idea, method, product, or process to address desired needs. Additionally, doing convergent work requires the integration of aspects of multiple disciplines and is conducted by diverse teams. Lastly, the disciplinary backgrounds of those teams almost always includes the natural and biological sciences with a subset the following disciplines: information or computing sciences, engineering, social sciences, and humanities. While there is some consistency in the definition, there also seems to be space for some variation which leaves for some level of choice in the definition. 
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                            - Award ID(s):
- 2022271
- PAR ID:
- 10530543
- Publisher / Repository:
- IEEE
- Date Published:
- ISBN:
- 979-8-3503-3642-9
- Page Range / eLocation ID:
- 1 to 5
- Subject(s) / Keyword(s):
- convergence, complexity, systems engineering, grand challenges, transdisciplinary
- Format(s):
- Medium: X
- Location:
- College Station, TX, USA
- Sponsoring Org:
- National Science Foundation
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