LSE creators

Number of items: 18.
None
  • Mansnerus, Erika (2013). Using model-based evidence in the governance of pandemics. Sociology of Health and Illness, 35(2), 280-291. https://doi.org/10.1111/j.1467-9566.2012.01540.x
  • Mansnerus, Erika (2013). Modeling in the social sciences: interdisciplinary comparison. Perspectives on Science, 21(2), 267-272. https://doi.org/10.1162/POSC_a_00099
  • Mansnerus, Erika (2011). Using models to keep us healthy: the productive journeys of facts across public health research networks. In Howlett, Peter, Morgan, Mary S. (Eds.), How Well Do Facts Travel?: the Dissemination of Reliable Knowledge . Cambridge University Press.
  • Mansnerus, Erika (2010). Book review: the ethics of technological risk: edited by Lotte Asveld and Sabine Roeser. Theoria, 76(3), 280-283. https://doi.org/10.1111/j.1755-2567.2010.01071.x
  • Mansnerus, Erika (2010). Silence of evidence in the case of pandemic influenza risk assessment. (Discussion paper 60). ESRC Centre for Analysis of Risk and Regulation.
  • Mansnerus, Erika (2009). Modelled encounters with public health risks: how do we predict the 'unpredictable'? (Discussion paper 56). ESRC Centre for Analysis of Risk and Regulation.
  • Mansnerus, Erika (2009). Acting with 'facts' in order to re-model vaccination policies: the case of MMR-vaccine in the UK 1988. (Working papers on the nature of evidence: how well do 'facts' travel? 37/09). Department of Economic History, London School of Economics and Political Science.
  • Mansnerus, Erika (2009). The lives of ‘facts’ in mathematical models: a story of population-level disease transmission of haemophilus influenzae type B bacteria. Biosocieties, 4(2-3), 207-222. https://doi.org/10.1017/S1745855209990111
  • Mattila, Erika (2006). Struggle between specificity and generality: how do infectious disease models become a simulation platform? In Küppers, Guenter, Lenhard, Johannes, Shinn, Terry (Eds.), Simulation: Pragmatic Constructions of Reality (pp. 125-138). Springer Berlin / Heidelberg.
  • Knuuttila, Tarja, Merz, Merz, Mattila, Erika (2006). Computer models and simulations in scientific practice - special issue, edited by Tarja Knuuttila, Martina Merz and Erika Mattila. Science Studies, 19(1).
  • Mattila, Erika (2006). Questions to the artificial nature: a philosophical study of interdisciplinary models and their functions in scientific practice. Helsingin yliopisto.
  • Mattila, Erika (2006). Tarttuvien tautien leviämisestä kasvien kylmänkestävyyteen: monitieteinen mallintaminen biometrian tutkimuskäytäntönä. In Miettinen, R., Tuunainen, J., Knuuttila, T., Mattila, Erika (Eds.), Tieteestä Tuotteeksi: Yliopistotutkimus Muutosten Ristipaineessa . Helsinki University Press.
  • Miettinen, Reijo, Tuunainen, Juha, Knuuttila, Tarja, Mattila, Erika (2006). Tieteestä tuotteeksi: yliopistotutkimus muutosten ristipaineissa. Helsinki University Press.
  • Mattila, Erika (2006). Umbrella model of inquiry and the dynamics of scientific practices. (Explanatory connections - electronic essays dedicated to Matti Sintonen). Faculty of Social Sciences, University of Helsinki.
  • Mattila, Erika (2005). Interdisciplinarity 'in the making': modelling infectious diseases. Perspectives on Science, 13(4), 531-553. https://doi.org/10.1162/106361405775466081
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  • Mansnerus, Erika (2008). What happens to facts after their construction?: characteristics and functional roles of facts in the dissemination of knowledge across modelling communities. (Working papers on the nature of evidence: how well do 'facts' travel? 30/08). Department of Economic History, London School of Economics and Political Science.
  • Mattila, Erika (2008). The lives of ‘facts’: understanding disease transmission through the case of Haemophilus influenzae type b bacteria. (Working papers on the nature of evidence: how well do 'facts' travel? 26/08). Department of Economic History, London School of Economics and Political Science.
  • Mattila, Erika (2005). Interdisciplinarity "in the making": modelling infectious diseases. (Working papers on the nature of evidence: how well do 'facts' travel? 05/05). Department of Economic History, London School of Economics and Political Science.