https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/Head https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0 http://www.nanopub.org/nschema#hasAssertion https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/assertion https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0 http://www.nanopub.org/nschema#hasProvenance https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/provenance https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0 http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/pubinfo https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/assertion http://id.crossref.org/issn/2451-8492 http://purl.org/dc/terms/title Data Science https://doi.org/10.3233/DS-170003 http://purl.org/dc/terms/abstract Data science is a young and rapidly expanding field, but one which has already experienced several waves of temporarily-ubiquitous methodological fashions. In this paper we argue that a diversity of ideas and methodologies is crucial for the long term success of the data science community. Towards the goal of a healthy, diverse ecosystem of different statistical models and approaches, we review how ideas spread in the scientific community and the role of incentives in influencing which research ideas scientists pursue. We conclude with suggestions for how universities, research funders and other actors in the data science community can help to maintain a rich, eclectic statistical environment. https://doi.org/10.3233/DS-170003 http://purl.org/dc/terms/date 2017-10-17 https://doi.org/10.3233/DS-170003 http://purl.org/dc/terms/isPartOf http://id.crossref.org/issn/2451-8492 https://doi.org/10.3233/DS-170003 http://purl.org/dc/terms/title Maintaining intellectual diversity in data science https://doi.org/10.3233/DS-170003 http://purl.org/ontology/bibo/issue 1-2 https://doi.org/10.3233/DS-170003 http://purl.org/ontology/bibo/volume 1 https://doi.org/10.3233/DS-170003 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/PositionPaper https://orcid.org/0000-0003-0701-1274 http://schema.org/affiliation https://ror.org/024mrxd33 https://orcid.org/0000-0003-0701-1274 http://schema.org/email r.p.mann@leeds.ac.uk https://orcid.org/0000-0003-0701-1274 http://xmlns.com/foaf/0.1/name Richard P. Mann https://orcid.org/0000-0003-4517-2765 http://schema.org/affiliation https://ror.org/05a28rw58 https://orcid.org/0000-0003-4517-2765 http://xmlns.com/foaf/0.1/name Olivia Woolley-Meza https://ror.org/024mrxd33 http://xmlns.com/foaf/0.1/name Department of Statistics, School of Mathematics, University of Leeds, UK https://ror.org/05a28rw58 http://xmlns.com/foaf/0.1/name Computational Social Science, ETH Zurich, Zurich, Switzerland https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_1 https://orcid.org/0000-0003-0701-1274 https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/author-list__1 http://www.w3.org/1999/02/22-rdf-syntax-ns#_2 https://orcid.org/0000-0003-4517-2765 https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/provenance https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0003-0701-1274 https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0003-4517-2765 https://w3id.org/kpxl/ios/ds/np/RAZ0aTVZUZW2oWwqCPXhrAuFTrCCjW2tqBVTP28-Xypt0/pubinfo https://orcid.org/0000-0002-1267-0234 http://xmlns.com/foaf/0.1/name Tobias Kuhn https://orcid.org/0000-0003-0701-1274 http://xmlns.com/foaf/0.1/name Richard P. 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