Publikationer pr. år
Publikationer pr. år
cand.oecon (Aarhus), PhD i Økonomi
Christian M. Dahl's research agenda is broad and interdisciplinary. One part is focusing on theoretical statistics and time series analysis with applications in finance. A second part is focusing on nonparametric estimation and causal inference, including random fields, neural networks and deep learning. Christian has extensive experience working with deep neural networks and random fields (computer vision and machine learning techniques) and has made significant theoretical and empirical contributions to this research field. With the increasing availability of an exploding number of digitized historical documents constituting an incredible new, rich and for large parts still unused source of data Christian is directing his research and his expertise in computer vision and deep leaning towards developing tools for automated harvesting (transcribing) data from digitized historical (and possibly degraded) documents. Christian has established an interdisciplinary research unit on “Big Data Analytics and Digitization” (BDAD) within the Department of Business and Economics (DBE) at SDU. The aim of this research unit is to become a leading interdisciplinary research unit worldwide in harvesting, linking and analyzing individual data from digitized/scanned structured handwritten historical documents. Current research projects involve developing deep learning techniques for transcribing census and church records and about 20 million Danish death certificates. Christian and members of BDAD are currently working jointly with many national archives in developing citizen science data collection strategies (see, for example, www.basecrowd.dk) to begin digitalization of health data, including the Danish death certificates. The harvested data will make it possible to study early-life health policies, parental investments, the formation of human capital, and socio-economic and health trajectories. CMD has also recently received funding from the InnoBooster program regarding the development a web-based software application that based on AI and Machine Learning tools can assist citizens in evaluating (probabilistically) their prospect in case of lawsuits.
Please consult the english CV
Publikation: Working paper › Forskning
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Publikation: Working paper › Forskning
Publikation: Andet › Andet bidrag › Forskning
Dahl, C. M. (Konsulent)
Aktivitet: Myndighedsbetjening og konsulentarbejde › Myndighedsbetjening
Dahl, C. M. (Konsulent)
Aktivitet: Myndighedsbetjening og konsulentarbejde › Rådgivning og konsulentarbejde
Dahl, C. M. (Konsulent)
Aktivitet: Myndighedsbetjening og konsulentarbejde › Rådgivning og konsulentarbejde
Dahl, C. M. (Underviser)
Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed
Dahl, C. M. (Eksaminator)
Aktivitet: Censoraktivitet, eksaminering og ekstern vejledning › Eksamination
Lazuka, V. (PI), Dahl, C. M. (Projektdeltager), Doyle, J. J. (Projektdeltager) & Franzese, R. J. (Projektdeltager)
01/03/2025 → 01/04/2029
Projekter: Projekt › Danske forskningsråd
Wray, A. (PI), Dahl, C. M. (Co-PI), Li, S. Y. (Co-PI) & Thomasson, M. (Co-PI)
01/11/2023 → 31/10/2026
Projekter: Projekt › Danske forskningsråd
Mellace, G. (PI), Dahl, C. M. (Projektdeltager) & van 't Hoff, N. (Projektdeltager)
01/07/2016 → 31/10/2024
Projekter: Projekt › Forskning
Wray, A. (Co-PI) & Dahl, C. M. (PI)
01/01/2022 → 31/12/2023
Projekter: Projekt › Private fonde
Dahl, C. M. (PI)
01/01/2019 → 31/12/2022
Projekter: Projekt › Forskning
Vedel, C. (Ophavsmand), Dahl, C. M. (Ophavsmand), Johansen, T. S. D. (Ophavsmand) & Vedel, C. (Bidrager), Harvard Dataverse, 24. mar. 2024
DOI: 10.7910/dvn/wzilni, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/WZILNI
Datasæt
30/06/2021
1 Mediebidrag
Presse/medie
29/06/2021
1 Mediebidrag
Presse/medie
Borowiecki, K. J. & Dahl, C. M.
02/07/2020
1 Mediebidrag
Presse/medie
Ager, P. & Lazuka, V. 01/09/2020 → 31/08/2023 |
Kursus: Undervisning og vejledning › Undervisning
Dahl, C. M. 01/09/2022 → 31/01/2023 |
Kursus: Undervisning og vejledning › Undervisning
Dahl, C. M. 01/09/2020 → 31/01/2022 |
Kursus: Undervisning og vejledning › Undervisning