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Data Science for Social Good: Opportunities and Challenges

dc.contributor.authorCattuto, Ciro
dc.contributor.editorDavid, Klaus
dc.contributor.editorGeihs, Kurt
dc.contributor.editorLange, Martin
dc.contributor.editorStumme, Gerd
dc.date.accessioned2019-08-27T12:55:24Z
dc.date.available2019-08-27T12:55:24Z
dc.date.issued2019
dc.description.abstractThe value of big data and advanced analytics lies critically in the opportunity to make better decisions and to design better policies. Identifying needs, targeting interventions, and measuring impact are all challenges that can greatly benefit from more quantitative approaches and data-intensive methods. This opportunity is currently stimulating new research lines in academia, new data sharing initiatives in industry, and new programs in the non-profit sector, while also calling for novel crosssector collaborations around data. This talk will reflect on the complex interplay of new data sources, data science methods and algorithmic decisions, discussing selected case studies in the domains of health and mobility, and highlighting opportunities as well as challenges for the generation of public value and social impact.en
dc.identifier.doi10.18420/inf2019_04
dc.identifier.isbn978-3-88579-688-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24988
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-294
dc.titleData Science for Social Good: Opportunities and Challengesen
dc.typeText/Conference Paper
gi.citation.endPage27
gi.citation.publisherPlaceBonn
gi.citation.startPage27
gi.conference.date23.-26. September 2019
gi.conference.locationKassel
gi.conference.sessiontitleKeynote Session

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