Understanding scientific progress and radical innovation helps leaders determine how their organization should adjust their innovation processes. However, it is often difficult to implement such changes. This session seeks to address ways in which human behavior influences an organization’s innovation or research processes—as well as challenges an organizations faces during the transition from invention to patent. Particular attention will be paid to the role of groups and group dynamics in the innovation domain.

This session begins with a discussion of the tools used to analyze scientific progress in society. This leads to an introduction to techniques used to analyze ideas and their reception within society—false facts,  first movers, open data. Particular emphasis will be made on situations in which scientific facts are rejected by large swaths of the population. The session concludes with a discussion of the future research landscape and the space of political and public opinion.

This session seeks to address ways in which human behavior influences an organization’s innovation or research processes. Particular attention will be paid to: (i) the role of groups and group dynamics in the innovation domain, and (ii) insights from collective intelligence and organizational information processing.

Innovation is increasingly distributed across a network of interconnected firms. This session focuses insights on the application of network theory to industrial innovation.

Non-trivial improvements can be obtained by exploring slight variations of current technologies or processes. However, the most significant improvements are often realized by experimenting with radically different technologies. This session examines the insights complex systems theory offers into both the processes by which radical innovation occurs, and the relationship between these innovations and the broader social-market system.