Human-Centered Data Science

Human-Centered Data Science @ IT University of Copenhagen.

The Human-Centered Data Science research group (HCDS) focuses on the human factors in the conception, use, and understanding of data. Positioned in the intersection of data science, social science, HCI, and CSCW we are interested in understanding and exploring human practices enabled by technology. We combine both quantitative and qualitative methods, and work with computational methods such as statistics, machine learning, network analysis together with qualitative methods such as ethnography, interviews, and observations.

Our research aims to contribute to often overlooked human-centered dimensions of data science such as individual differences, domain-expertise, design implications, and societal impact. Within HCDS we work across several topics, including digital media platforms, information visualization, crowd sourcing, affective computing, behavioral modeling, and societal challenges related to digital infrastructure more broadly.

select publications

  1. Magnani, Matteo, Luca Rossi, and Davide Vega.
    Journal of Statistical Software 98, (2021): 1–30
  2. Rossi, Luca, Christina Neumayer, Jesper Henrichsen, and Lucas Beck.
    Social Science Computer Review (2021)
  3. Petersen, Gustav Bøg, Aske Mottelson, and Guido Makransky.
    In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (2021): 1–12
  4. Jensen, Minna S, Christina Neumayer, and Luca Rossi.
    Information, communication & society 23, no. 1 (2020): 59–75
  5. Coscia, Michele, and Luca Rossi.
    Journal of the Royal Society Interface 17, no. 167 (2020): 20200020
  6. Walny, Jagoda, Sarah Storteboom, Richard Pusch, Steven Munsu Hwang, Søren Knudsen, Sheelagh Carpendale, and Wesley Willett.
    IEEE Computer Graphics and Applications 40, no. 2 (2020): 57–70
  7. Hornbæk, Kasper, Aske Mottelson, Jarrod Knibbe, and Daniel Vogel.
    ACM Transactions on Computer-Human Interaction (TOCHI) 26, no. 4 (2019): 1–30
  8. Giglietto, Fabio, Laura Iannelli, Augusto Valeriani, and Luca Rossi.
    Current sociology 67, no. 4 (2019): 625–642
  9. Walny, Jagoda, Christian Frisson, Mieka West, Doris Kosminsky, Søren Knudsen, Sheelagh Carpendale, and Wesley Willett.
    IEEE transactions on visualization and computer graphics 26, no. 1 (2019): 12–22
  10. Knudsen, Søren, and Kasper Hornbæk.
    In 2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC) (2019)
  11. Mottelson, Aske, Jarrod Knibbe, and Kasper Hornbæk.
    In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (2018): 1–12