Gian Marco Campagnolo
- Dr Gian Marco Campagnolo
- Lecturer & Programme Director; Alan Turing Fellow
- Attic Office Old Surgeons' Hall High School Yards Edinburgh UK EH1 1LZ
- +44 (0)131 650 2843
- Research Interests
- Valuation Studies, Social Data Science, Sociology of Images, Sociology of Business Knowledge, social studies of markets, Social Studies of ICT
I work in the area of the sociology of business knowledge. My research empirically focuses on ICT market intermediaries (salespeople, global IT vendors, industry analysts & management consultants) and their interaction with clients and user organisations. When business turned heavily to analytics, I became interested in 'data science' applications with a view on how 'big data' is made visible and turned into action. I currently work with Neil Pollock on the ESRC "Ranking the Rankers" project - where my role is to study use of social media to rank people and organisations - and with Robin Williams on the AHRC CREATe project "The Copyright Hub and the emerging IP infrastructure", where we research on the role of infrastructural entrepreneurs. I also directly engage in research using new types of data. I am presently leading Edinburgh University Challenge Investment Fund supported collaborative project "Text Mining Careers" (with Beatrice Alex and Alberto Acerbi) where we use social media data to analyse careers in the IT sector.
Campagnolo, G.M., Pollock, N. & Williams, R. (2015) “Technology as we do not know it: the extended practice of global software development”, Information & Organization. Volume 25, Issue 3, July 2015, Pages 150–159.
Johnson, M., Mozaffar, H., Williams, R., Campagnolo, G.M., Hyysalo, S., Pollock, N. (2014) “The managed prosumer: Evolving knowledge strategies in the design of information infrastructures”. Information, Communication & Society, Published Online. 17:7, 795-813.
Pollock, N., Campagnolo, G.M. (2015) “Subitizing Practices and Market Decisions. The Role of Simple Graphs In Business Settings” in Making Things Valuable, Martin Kornberger, Lise Jusesen, Jan Moursitsen & Anders Koed Madsen (Eds), Oxford University Press. (In Press).
Campagnolo, G.M., Ducati, S. (2010) “Changing Spaces for Social Learning in ERP Implementation: a Situational Analysis”, in: A. D’Atri, M. De Marco, A. M. Braccini, F. Cabiddu (eds), Management of the Interconnected World, Springer Physica-Verlag, pp. 97-104.
Campagnolo G.M. (2008) “Multi-sited ethnography and comparative case studies on technological implementation in the manufacturing industry” in A. Comacchio, A. Pontiggia, (eds.), L’organizzazione fa la differenza?, Carocci, Rome, pp. 95-111.
Campagnolo G.M., Jacucci G. (2006), “Designing the Accountability of Enterprise Architectures”, in J. Berleur, M.I. Nurminen & J. Impagliazzo (eds.), Social Informatics: An Information Society for All? In Remembrance of Rob Kling, Springer, New York, pp. 355-366.
Erbizzoni E., Teli M., Campagnolo G.M., De Paoli S., D’Andrea V. (2006), “Free/Open Source ERPs and translation processes: four empirical cases”, in A. Min Tjoa, L. Xu, S. Chaudhry (eds.) Research and Practical Issues of Enterprise Information Systems, Springer, New York, pp. 695- 704.
Liberman, K., Fele, G., D’Andrea, V., Campagnolo, G.M., Curzi, Y. & Viscusi, G. (2009) “Phenomenology and the Social Study of Information Systems: Conversations with Kenneth Liberman”, Quaderni di Sociologia, n.46, 5-60.
Topics interested in supervising
I am currently interested in supervising postgraduate students wanting to undertake ethnographic studies of 'data science' applications, qualitatively analysing the full data life-cycle from production, to analysis, consumption, data presentation and related controversies. I am open to consider PhDs wanting to address this topic with empirical cases from different fields, from marketing to policy making to performance measurement including sport. See video below for more information on my research on big data and sport:
If you are interested in being supervised by Gian Marco Campagnolo, please see the links below for more information: