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Enhancing collaboration between ecologists and computer scientists: lessons learned and recommendations forward

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dc.contributor.authorCarey, Cayelan C.en
dc.contributor.authorWard, Nicole K.en
dc.contributor.authorFarrell, Kaitlin J.en
dc.contributor.authorLofton, Mary E.en
dc.contributor.authorKrinos, Arianna, I.en
dc.contributor.authorMcClure, Ryan P.en
dc.contributor.authorSubratie, Kensworth C.en
dc.contributor.authorFigueiredo, Renato J.en
dc.contributor.authorDoubek, Jonathan P.en
dc.contributor.authorHanson, Paul C.en
dc.contributor.authorPapadopoulos, Philipen
dc.contributor.authorArzberger, Peteren
dc.contributor.departmentBiological Sciencesen
dc.date.accessioned2019-08-14T13:11:35Zen
dc.date.available2019-08-14T13:11:35Zen
dc.date.issued2019-05en
dc.description.abstractIn the era of big data, ecologists are increasingly relying on computational approaches and tools to answer existing questions and pose new research questions. These include both software applications (e.g., simulation models, databases and machine learning algorithms) and hardware systems (e.g., wireless sensor networks, supercomputing, drones and satellites), motivating the need for greater collaboration between computer scientists and ecologists. Here, we outline some synergistic opportunities for scientists in both disciplines that can be gained by building collaborations between the computer science and ecology research communities, with a focus on the benefits to ecology specifically. We also identify past contributions of computer science to ecology, including high-frequency environmental sensor technology, advanced supercomputing capacity for ecological modeling, databases for long-term and high-frequency datasets, and software programs for ecological analyses, to anticipate future potential contributions. These examples highlight the power and potential for further integration of computer science technology and ideas into the ecological research community. Finally, we translate our own experiences working together as a team of computer scientists and ecologists over the past decade into a conceptual framework with recommendations for supporting productive collaborations at the interface of the two disciplines. We specifically focus on how to apply best practices of team science for bridging computer science and ecology, which we advocate will substantially benefit ecology long-term.en
dc.description.notesCayelan C. Carey conceived and designed the conceptual framework with Nicole K. Ward, Kaitlin J. Farrell, and Mary E. Lofton, and all authors contributed to writing and provided feedback. None of the authors have any conflict of interest. This work was catalyzed by a PRAGMA-GLEON workshop at the PRAGMA 32 conference in Gainesville, Florida, USA, and builds upon several years of collaboration among team members. We gratefully acknowledge support from National Science Foundation (NSF) grants ACI 1234983, ACI 1339737, CNS 1737424, CNS 1527415, EF 1702506, and ICER 1517823. We thank Grace Hong for facilitating the PRAGMA-GLEON workshop, the larger PRAGMA community for supporting this work, and previous and current GRAPLE students, especially Jaikrishna Sukumar, Saumitra Aditya, Vahid Daneshmand, Alexandra Gerling, and Kathleen Hamre.en
dc.description.sponsorshipNational Science Foundation (NSF) [ACI 1234983, ACI 1339737, CNS 1737424, CNS 1527415, EF 1702506, ICER 1517823]; PRAGMA-GLEON workshop; larger PRAGMA communityen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1002/ecs2.2753en
dc.identifier.issn2150-8925en
dc.identifier.issue5en
dc.identifier.urihttp://hdl.handle.net/10919/93057en
dc.identifier.volume10en
dc.language.isoenen
dc.publisherEcological Society of Americaen
dc.rightsCreative Commons Attribution 3.0 Unporteden
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectbig dataen
dc.subjectcomputational ecologyen
dc.subjectcomputer programmingen
dc.subjectcyber infrastructureen
dc.subjectinformation technologyen
dc.subjectinterdisciplinaryen
dc.subjectModelingen
dc.subjectquantitative literacyen
dc.subjectsoftwareen
dc.subjectteam scienceen
dc.titleEnhancing collaboration between ecologists and computer scientists: lessons learned and recommendations forwarden
dc.title.serialEcosphereen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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