Idealeague Doctoral School – Reading material


[programme] [venues] [reading material] [groupwork]


Students can find relevant material in the Milano-Lecco folder in Dropbox.

Here is the reading list:

  • Paolo Trucco, Systems Complexity: An Introduction
  • Wolfgang Kroeger, Critical infrastructures at risk: A need for a new conceptual approach and extended analytical tools, in Reliability Engineering and System Safety 93 (2008) 1781– 1787
  • Carlo Batini, Cinzia Cappiello, Chiara Francalanci, Andrea Maurino:
    Methodologies for data quality assessment and improvement. ACM Comput. Surv. 41(3): 16:1-16:52 (2009)
  • Lorenzo Mari, Marino Gatto, Manuela Ciddio, Elhadji D Dia, Susanne H Sokolow, Giulio A De Leo, Renato Casagrandi, Big-data-driven modeling unveils country-wide drivers of endemic schistosomiasis, Scientific Reports, 7(1), p. 489, Nature Publishing Group, 2017  link
  • A. Castelletti, R. Soncini-Sessa, 2006, A procedural approach to strengthening integration and participation in water resource planning,
    Environmental Modelling & Software, 21(10) 1455-1470 (in Dropbox)
    Velpuri, N. M. and Senay, G. B.: Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data, Hydrol. Earth Syst. Sci., 16, 3561-3578, https://doi.org/10.5194/hess-16-3561-2012, 2012.
     
    C.J Carr, River Basin Development and Human Rights in Eastern Africa — A Policy Crossroads, Springer, 2017 Ch. 1 and ch. 5 (Ch. 4 suggested as well) – the book is open access https://www.springer.com/gp/book/9783319504681
  • Alnoor Bhimani & Leslie Willcocks (2014) Digitisation, ‘Big Data’ and the transformation of accounting information, Accounting and Business Research, 44:4, 469-490 (in Dropbox)