{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:20:33Z","timestamp":1750220433482,"version":"3.41.0"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"November","license":[{"start":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T00:00:00Z","timestamp":1604966400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Ubiquity"],"published-print":{"date-parts":[[2020,11,24]]},"abstract":"<jats:p>In this interview, Ubiquity's senior editor Dr. Bushra Anjum chats with Dr. Ella Peltonen, a research scientist with the Center for Ubiquitous Computing, University of Oulu, Finland, about the traditional divide between theoretical machine learning and the more applied fields of distributed systems. They then discuss the need for environments and opportunities where researchers from both theory and application areas can discuss, share their latest findings, and understand each other.<\/jats:p>","DOI":"10.1145\/3432653","type":"journal-article","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T18:21:08Z","timestamp":1606155668000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A conversation with Ella Peltonen"],"prefix":"10.1145","volume":"2020","author":[{"given":"Bushra","family":"Anjum","sequence":"first","affiliation":[{"name":"Amazon, San Luis Obispo, CA"}]}],"member":"320","published-online":{"date-parts":[[2020,11,10]]},"container-title":["Ubiquity"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3432653","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3432653","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:10Z","timestamp":1750193230000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3432653"}},"subtitle":["why theoretical machine learning and distributed systems researchers should find a common language"],"short-title":[],"issued":{"date-parts":[[2020,11,10]]},"references-count":0,"journal-issue":{"issue":"November","published-print":{"date-parts":[[2020,11,24]]}},"alternative-id":["10.1145\/3432653"],"URL":"https:\/\/doi.org\/10.1145\/3432653","relation":{},"ISSN":["1530-2180"],"issn-type":[{"type":"electronic","value":"1530-2180"}],"subject":[],"published":{"date-parts":[[2020,11,10]]},"assertion":[{"value":"2020-11-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}