Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Daan Kolkman"'
Justitia ex machina: The impact of an AI system on legal decision-making and discretionary authority
Publikováno v:
Big Data & Society, Vol 11 (2024)
Governments increasingly use algorithms to inform or supplant decision-making. Artificial Intelligence systems in particular are considered objective, consistent and efficient decision-makers, but have also been shown to be fallible. Furthermore, the
Externí odkaz:
https://doaj.org/article/55639cb99ae7484482013b0175b1b751
Publikováno v:
PLoS ONE, Vol 19, Iss 11, p e0309318 (2024)
Recent calls to take up data science either revolve around the superior predictive performance associated with machine learning or the potential of data science techniques for exploratory data analysis. Many believe that these strengths come at the c
Externí odkaz:
https://doaj.org/article/852f2d34d0e842b191dde20b97979a24
Autor:
Daan Kolkman
Publikováno v:
Information, Communication & Society, 25(1), 93-109. Routledge Taylor & Francis Group
The rapid development and dissemination of data analysis techniques permits the creation of ever more intricate algorithmic models. Such models are simultaneously the vehicle and outcome of quantification practices and embody a worldview with associa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee885a740d12841ec0970869519ad2ac
https://doi.org/10.1080/1369118x.2020.1761860
https://doi.org/10.1080/1369118x.2020.1761860
Autor:
Jakko Kemper, Daan Kolkman
Publikováno v:
Information, Communication & Society, 22(14), 2081-2096. Routledge
Information, Communication & Society, 22(14), 2081-2096. Routledge Taylor & Francis Group
Information, Communication & Society, 22(14), 2081-2096. Routledge Taylor & Francis Group
Big data and data science transform organizational decision-making. We increasingly defer decisions to algorithms because machines have earned a reputation of outperforming us. As algorithms become embedded within organizations, they become more infl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ede271d1aaa55117c045e85d1ded522
https://research.tue.nl/en/publications/74bce1d3-7773-4de5-ac2a-2f2e117566fa
https://research.tue.nl/en/publications/74bce1d3-7773-4de5-ac2a-2f2e117566fa
Autor:
Daan Kolkman, Arjen van Witteloostuijn
Publikováno v:
van Witteloostuijn, A & Kolkman, D 2019, ' Is firm growth random? A machine learning perspective ', Journal of Business Venturing Insights, vol. 11, e00107 . https://doi.org/10.1016/j.jbvi.2018.e00107
Journal of Business Venturing Insights, 11:e00107. Elsevier Inc.
Journal of Business Venturing Insights, 11:e00107. Elsevier Inc.
This study contributes to the firm growth debate by applying machine learning. We compare a prominent machine learning technique – random forest analysis (RFA) – to traditional regression in terms of their goodness-of-fit on a dataset of 168,055
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f9c05953bdb6d30dba7a25f8ddd7c08
https://research.vu.nl/ws/files/77967229/Is_firm_growth_random_A_machine_learning_perspective.pdf
https://research.vu.nl/ws/files/77967229/Is_firm_growth_random_A_machine_learning_perspective.pdf
Autor:
Daan Kolkman, Arjen van Witteloostuijn
Publikováno v:
SSRN Electronic Journal.
This study examines the applicability of modern Data Science techniques in the domain of Strategy. We apply novel techniques from the field of machine learning and text analysis. WE proceed in two steps. First, we compare different machine learning t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f13bdeafbe1fc49374d9b906fb91c1ec
https://doi.org/10.2139/ssrn.3457271
https://doi.org/10.2139/ssrn.3457271
Autor:
Ruud Sneep, Daan Kolkman
Publikováno v:
SSRN Electronic Journal.
Data science has quickly developed as an academic field and has sparked the imagination of public and private sector alike. While considerable effort is devoted towards the technical development of statistical approaches for analysing the wealth of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7ffc5aeea61e2cc771fc2206b8bf3d7
https://doi.org/10.2139/ssrn.3343092
https://doi.org/10.2139/ssrn.3343092
Publikováno v:
Policy Sciences. 49:489-504
Models are used to inform policymaking and underpin large amounts of government expenditure. Several authors have observed a discrepancy between the actual and potential use of models in government. While there have been several studies investigating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b790770afa04dab972a1933fa8c6d06a
https://doi.org/10.1007/s11077-016-9250-4
https://doi.org/10.1007/s11077-016-9250-4
Autor:
Daan Kolkman, Jakko Kemper
Publikováno v:
SSRN Electronic Journal.
Algorithms play an increasingly central part in our societies. The impact of these quantification objects extends beyond our everyday interactions with information technology. Algorithms contribute to the evidence-base that underpins organisational d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d859925ea343df08ece00e83938720d
https://doi.org/10.2139/ssrn.2985424
https://doi.org/10.2139/ssrn.2985424