Research

Here you can find previous literature related to these topics. The future research publications produced in the DataLit project will be added here as well.

Prior literature

Pääkkönen, Juho & Ylikoski, Petri. (2020) Humanistic interpretation and machine learning. Synthese.

Open

Rusanen, Anna-Mari & Ylikoski, Petri. (2017) Algoritmit, tekoäly – tieteen murros? Futura 2/2017: 15-24.

Open

Tupasela, Aaro, Snell, Karoliina & Tarkkala, Heta. (2020) The Nordic data imaginary. Big Data & Society.

Open

Tupasela, Aaro & Di Nucci, Ezio. (2020) Concordance as evidence in the Watson for Oncology decision-support system. AI & SOCIETY, 35(4), 811-818.

Open

Choroszewicz, Marta & Mäihäniemi, Beata. (2020) Developing a digital welfare state: Data protection legislation and the use of automated decision-making across six EU countries. Global Perspectives 1 (1).

Open

DataLit publications

Machine learning and reliable inferences
  • Gao, Y., Ji, S., Zhang, T., Tiwari, P., and Marttinen, P. (2022). Contextualized graph embeddings for adverse drug event detection. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022). Link.
  • Cui, T., Kumar, Y., Marttinen, P., and Kaski, S. (2022). Deconfounded Representation Similarity for Comparison of Neural Networks. Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Link. 
  • Rissanen, S. and Marttinen, P. (2021). A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021). Link.
  • Cui, T., Havulinna, A., Marttinen, P., and Kaski, S. (2021). Informative Bayesian Neural Network Priors for Weak Signals. Bayesian Analysis, 1-31. Link.
  • Sun, W, Ji, S., Cambria, E., and Marttinen, P. (2021). Multitask recalibrated aggregation network for medical code prediction. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021). Link.
Privacy and synthetic data
  • Jälkö, J & Lagerspetz, E & Haukka, J & Tarkoma, S & Honkela, A & Kaski, S (2021) Privacy-preserving data sharing via probabilistic modeling. Link.
Legal and ethical data use
  • Tupasela, A. (2022). Data Ethics and the Testbed Nation. In E. di Nucci, J-Y Lee & I.A. Wagner (Eds.), The Rowan & Littlefield Book of Bioethics. Rowan & Littlefield Publishers. (forthcoming)
  • Snell K., Tarkkala H. & Tupasela A. (2022) A solidarity paradox – welfare state data in global health data economy. Health. Link.
  • Snell, K. (2020) Henkilökohtaisten terveystietojen hyödyntämisen oikeutukset: Onko vihdoin aika keskustella ehdoista ja rajoista? Tiedepolitiikka 45(4): 16-21. Link.
Presentation and visualisation of data
  • Rusanen, A-M. (2019). Pikseleitä, kohinaa ja haurautta. Niin & näin : filosofinen aikakauslehti, 26(3), 47-53. Link.
  • Rusanen, A-M. (2021). Algoritmien aakkoset. In book: Älykäs huominen – miten tekoäly ja digitalisaatio muuttavat maailmaa? (pp.33-39) Publisher: Gaudeamus. Link.
  • Rusanen, A-M., Lappi, O., Kuokkanen, J., & Pekkanen, J. (2021). Action control, forward models and expected rewards: representations in reinforcement learning. Synthese, (199), 14017–14033. Link.
Public sector as data user
  • Tupasela, A. (2022). The Genetic Imagination: Imaging Populations and the Construction of Nationhood. In J. Hoegaerts, T. Liimatainen, L. Hekanaho, & E. Peterson (Eds.), Finnishness, Whiteness and Coloniality (pp. 19-40). Helsinki University Press. Link. 
  • Choroszewicz, M. (2022) Emotional labour in the collaborative data practices of repurposing healthcare data and building data technologies. Big Data & Society 9(1), 1-12. Link.
  • Alastalo M., Parviainen J. & Choroszewicz M. (2022) Tekoälyteknologian kotoistaminen julkisiin palveluihin : Tapaus Espoon tekoälykokeilu. Yhteiskuntapolitiikka 87 (2022):3, 285-296. Link.
  • Alastalo M and Helén I. (2022) A code for care and control: The PIN as an operator of interoperability in the Nordic welfare state. History of the Human Sciences. 2022;35(1):242-265. Link.
  • Choroszewicz M. and Alastalo M. (2021) “Organisational and Professional Hierarchies in a Data Management System: Public–Private Collaborative Building of Public Healthcare and Social Services in Finland”. Information, Communication & Society. Link.
  • Ustek-Spilda F. & Alastalo M. (2020) Software-Sorted Exclusion of Asylum Seekers in Norway and Finland. Global Perspectives 11 May 2020; 1 (1): 12978. Link.
  • Snell, K. (2020) Henkilökohtaisten terveystietojen hyödyntämisen oikeutukset: Onko vihdoin aika keskustella ehdoista ja rajoista? Tiedepolitiikka 45(4): 16-21. Link.