Presented at ISSS 2016, Boulder CO July 28, 2016
Applications of the systemic practices of dialogic design (Structured Dialogic Design and it variants) have recently developed and integrated futures and foresight models as anticipatory frameworks for policy and long-term planning situations (Weigand, et al, 2014). We have identified this model of practice as collaborative foresight, reflecting the perspective from practice that futures literacy must be considered an essential complement to multi-stakeholder deliberation where complex and competing interests are considered in planning and decision making. This study proposes approaches to advancement in science and practice that integrate essential properties of collective anticipatory modelling for design decisions.
Scientific principles for dialogic design have been developed and practiced over the course of nearly 50 years of developmental evolution, following Warfield’s (1986) Domain of Science Model (DoSM) and Christakis’ (2006, 2008) research extending the DoSM. One of the key principles in the DoSM refers to the recursive learning necessary to develop systemic practices, a second-order (deutero) learning process as noted in Warfield’s DoSM cycle. The standard model requires warranted claims to be evaluated from their testing in the Arena of real-world practice and reflective learning in order to advance new theory for inclusion in the accepted Corpus (theory supported by accepted evidence).
By re-examining these principles in the context of the DoSM, we might integrate anticipatory modelling into a more inclusive systems theory of dialogic engagement for systemic design for complex and multi-organizational policy development.