Data for Good: Unlocking Privately-Held Data to the Benefit of the Many

Alberto Alemanno
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Alberto Alemanno: GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique

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Abstract: It is almost a truism to argue that data holds a great promise of transformative resources for social good, by helping to address a complex range of societal issues, ranging from saving lives in the aftermath of a natural disaster to predicting teen suicides. Yet it is not public authorities who hold this real-time data, but private entities, such as mobile network operators and business card companies, and - with even greater detail - tech firms such as Google through its globally-dominant search engine, and, in particular, social media platforms, such as Facebook and Twitter. Besides a few isolated and self-proclaimed ‘data philanthropy' initiatives and other corporate data-sharing collaborations, data-rich companies have historically shown resistance to not only share this data for the public good, but also to identify its inherent social, non-commercial benefit. How to explain to citizens across the world that their own data - which has been aggressively harvested over time - can't be used, and not even in emergency situations? Responding to this unsettling question entails a fascinating research journey for anyone interested in how the promises of big data could deliver for society as a whole. In the absence of a plausible solution, the number of societal problems that won't be solved unless firms like Facebook, Google and Apple start coughing up more data-based evidence will increase exponentially, as well as societal rejection of their underlying business models. This article identifies the major challenges of unlocking private-held data to the benefit of society and sketches a research agenda for scholars interested in collaborative and regulatory solutions aimed at unlocking privately-held data for good.

Keywords: Big data; data; data governance; data sharing; data risk; data invisible; risk governance; philanthropy (search for similar items in EconPapers)
Date: 2018-06-12
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-01933863

DOI: 10.2139/ssrn.3194040

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