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In business-economic terms, the metaphor has inspired IS research into new business models, while in engineering terms, it has led to important insights into the design and governance of digital platforms. Studying digital ecosystems in these terms, however, makes it difficult to trace and explain those effects of digitalization, which do not materialize predominantly in economic and engineering patterns. Important relationships and their effects may therefore go unnoticed. In response, I draw on the ecological epistemology of Gregory Bateson and others to contribute an ecological approach to digital ecosystems. Such an understanding, I argue, expands the possibilities for tracing and explaining the wide-reaching, boundary-crossing effects of digitalization and the runaway dynamics they may lead to. I suggest to do this based on three principles: (1) part-of-ness\u2014phenomena are to be observed as always part of a larger ecosystem; (2) systemic wisdom\u2014ecosystems have limits, which need to be respected; and (3) information ecology\u2014ecosystems are not mechanical but informed, cognitive systems. 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