In response to Sato and Sonoda's “Asian Studies ‘inside out’: research agenda for the development of Global Asian Studies,” members of the Global Asias Collaborative at Rutgers University – comprised of a diverse group of scholars of Asia and the Asian diaspora located in history, literature, art history, geography, among other disciplines – offer responses to this generative prompt to remap the place and field of “Asia” in its heterogeneous and interwoven temporalities and topologies.

This article seeks to question the epistemological monopoly of territory and scale in analyses of the Syrian conflict. It does so to both challenge static conceptualisations of space in the study of politics and analyse how seemingly remote actors influence wartime outcomes. Since 2011, NGOs, government bodies, and merchants have worked to connect Damascus to Tehran, Idlib to Istanbul, London to Dara‘a. These connections have proven crucial to the reliable supply of food, funds, and firepower. Yet rather than reveal the importance of foreign patrons or proxies on the ground, such dynamics speak to a world in which relationships matter more than distance, practices more than geopolitical position or a priori forms of alliance. Drawing on the work of John Allen, I suggest why thinking topologically about these dynamics better equips us to understand the political outcomes they help engender. To demonstrate the promise of this approach, I hone in on the partnerships, intermediaries, and connections that shape performances of political authority in Syria by examining one object crucial to its enactment: bread.

This is the second paper in the series on shape decompositions and their use as shape approximations. This time we investigate hierarchical and topological shape decompositions or hierarchies and topologies. We showed earlier that bounded decompositions behave the same way as shapes do. The same holds for hierarchies and topologies, which are special kinds of bounded decompositions. They are distinguished by their algebraic structures, which have many important properties to facilitate their application as shape approximations. We provide an account of their properties with an emphasis on their application.