I presented on a new avenue of methods development that my colleague Corey Schimpf (Department of Engineering Education, University at Buffalo) first identified, which he and I are calling smart and approachable methods or AM-Smart for short.
Advances in the integration of smart technology with interdisciplinary methods has created a new genre, approachable modeling and smart methods – AM-Smart for short. AM-Smart platforms address a major challenge for applied and public sector analysts, educators and those trained in traditional methods: accessing the latest advances in interdisciplinary (particularly computational) methods. AM-Smart platforms do so through nine design features. They are (1) bespoke tools that (2) involve a single or small network of interrelated (mostly computational) methods. They also (3) embed distributed expertise, (4) scaffold methods use, (5) provide rapid and formative feedback, (6) leverage visual reasoning, (7) enable productive failure, and (8) promote user-driven inquiry; all while (9) counting as rigorous and reliable tools. Examples include R-shiny programmes, computational modeling and statistical apps, public-sector data management platforms, data visualisation tools, and smart phone apps. Critical reflection on AM-Smart platforms, however, reveals considerable unevenness in these design features, which hamper their effectiveness. A rigorous research agenda is vital. After situating the AM-Smart genre in its historical context and introducing a short list of platforms, we review the above nine features, including a use-case on how AM-Smart platforms ideally work. We end with a research agenda for advancing the AM-Smart genre.
CLICK HERE for the PDF of the Power Point
CLICK HERE for the paper ON AM-Smart Methods (Open Access)
CLICK HERE to explore COMPLEX-IT and its software, tutorials, etc.
CLICK HERE for a published article on COMPLEX-IT
CLICK HERE for Big Data Mining and Complexity
Much thanks to those who participated in the event.
Here are the questions we came up with as a function of the workshop discussions:
One of the outcomes of the workshop was the value of figuring out how to add qualitative information to the clustering or classification methods regularly used in many AM-Smart methods.
Another was how to integrate, via smart design, qualitative and quantitative information to evidence both aspects of corroboration of insights as well as gaps in understanding.