@article{fa021443d5d544a4a3420d4249fd5845,
title = "Automating Data Science: Prospects and Challenges",
abstract = "Given the complexity of typical data science projects and the associated demand for human expertise, automation has the potential to transform the data science process.",
author = "{De Bie}, Tijl and {De Raedt}, Luc and Jos{\'e} Hern{\'a}ndez-Orallo and Hoos, {Holger H.} and Padhraic Smyth and Williams, {Christopher K I}",
note = "Funding Information: TDB: The European Research Council under the European Union{\textquoteright}s Seventh Framework Programme (FP7/2007-2013) / ERC Grant Agreement no. 615517. The Flemish Government under the “Onderzoeksprogramma Artifici{\"e}le Intelligentie Vlaanderen” programme. The Fund for Scientific Research–Flanders (FWO–Vlaanderen), project no. G091017N, G0F9816N, 3G042220. LDR: The research reported in this work was supported by the European Research Council under the European Union{\textquoteright}s Horizon 2020 research and innovation programme (grant agreement No [694980] SYNTH: Synthesising Inductive Data Models), the EU H2020 ICT48 project “TAILOR” contract #952215; the Flemish Government{\textquoteright}s “Onderzoeksprogramma Artifici{\"e}le Intelligentie Vlaanderen” programme and the Wallenberg AI, Autonomous Systems and Software Program funded by the Knut and Alice Wallenberg Foundation. Funding Information: JHO: EU (FEDER) and the Spanish MINECO, Grant: RTI2018-094403-B-C3. Generalitat Valenciana, Grant: PROMETEO/2019/098. FLI, Grant RFP2-152. MIT-Spain INDITEX Sustainability Seed Fund. Grant: FC200944. EU H2020. Grant: ICT48 project “TAILOR” contract #952215. HHH: The research reported in this work was partially supported by the EU H2020 ICT48 project “TAILOR” contract #952215; by the EU project H2020-FETFLAG-2018-01, “HumanE AI,” contract #820437, and by start-up funding from Leiden University. PS: This material is based on work supported by the US National Science Foundation under awards DGE-1633631, IIS-1900644, IIS-1927245, DMS-1839336, CNS-1927541, CNS-1730158, DUE-1535300; by the US National Institutes of Health under award 1U01TR001801-01; by NASA award NNX15AQ06A. CKIW: This work is supported in part by grant EP/ N510129/1 from the UK Engineering and Physical Sciences Research Council (EPSRC) to the Alan Turing Institute. He thanks the Artificial Intelligence for Data Analytics team at the Turing Institute for many helpful conversations. Publisher Copyright: {\textcopyright} 2022 ACM.",
year = "2022",
month = feb,
day = "23",
doi = "10.1145/3495256",
language = "English",
volume = "65",
pages = "76--87",
journal = "Communications of the ACM",
issn = "0001-0782",
publisher = "ACM",
number = "3",
}