Department of Digitalization

szdigi

Department of Digitalization

Sine
Zambach
Assistant professor


Room: HOW/60-5.10
E-mail: sz.digi@cbs.dk
Sine Zambach
Presentation

Sine Zambach is an assistant professor at Department of Digitalization, Copenhagen Business School.

She holds a ph.d. degree in computer science and a master degree in bioinformatics. She has worked within data analysis in the educational sector, genetics and in a book publishing company.
Her main focus is on artificial intelligence and machine learning in the educational sector. She is a part of interuniversity collaboration project and collaborating with DTU and KU and ITU.

Primary research areas
  • Educational Data and Learning Analytics
  • Machine Learning and Artificial Intelligence
  • Business Data Analytics
  • Computational Social Science
  • Citizen Data Science
Social media
Link to this homepage
www.cbs.dk/en/staff/szdigi
Courses

  • Big data analytics

  • Natural Language Processing and Text Analytics

Publications sorted by:
2023
Julie Buhl-Wiggers; Nils Karl Sørensen; Sine Zambach / Fra kaos til læring? : I Covid-19's slipstrøm.
In: Symposium i anvendt statistik 2023. ed. /Peter Linde. Frederiksberg : Økonomisk Institut. Copenhagen Business School 2023, p. 17-27
Article in proceedings > peer review
2022
Tim Schurig; Sine Zambach; Raghava Rao Mukkamala; Malte Petry / Aspect-based Sentiment Analysis for University Teaching Analytics
In: Proceedings of the 30th European Conference on Information Systems (ECIS)Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2022 (Proceedings of the European Conference on Information Systems)
Article in proceedings > peer review
Julie Buhl-Wiggers; Nils Karl Sørensen; Sine Zambach / Fra kaos til læring? : I Covid-19’s slipstrøm.
In: Samfundsøkonomen, No. 3, 8.2022, p. 44-53
Journal article > peer review
2021
Sine Zambach / Citizen Produced Visualisations as Qualifying the Public Debate on the COVID-19 Pandemic
Poster session presented at ACM Collective Intelligence Conference 2021, 2021, 4 p.
Poster > peer review
2020
Sine Zambach; Mette Franck; Michael Møller Nielsen; Annemette Kjærgaard / Survey of Educators’ and Students’ Experiences During the COVID-19 Lockdown : COVID-19 Teaching Experience Task Force at CBS.
Frederiksberg : Copenhagen Business School [wp] 2020, 5 p.
Working paper
2015
Johan Hilge Thyegesen; Sine Katharina Zambach; Andrés Ingason; Pär Lundin; Thomas Hansen; Marcelo Bertalan; Anders Rosengren; Ditte Bjerre; Laura Ferrero-Miliani; Henrik Berg Rasmussen; Josef Parnas; Thomas Werge / Linkage and Whole Genome Sequencing Identify a Locus on 6q25–26 for Formal Thought Disorder and Implicate MEF2A Regulation
In: Schizophrenia Research, Vol. 169, No. 1-3, 12.2015, p. 441-446
Journal article > peer review
2014
Claus Desler; Sine Zambach; Prashanth Suravajhala; Lene Juel Rasmussen / Introducing the Hypothome : A Way to Integrate Predicted Proteins in Interactomes.
In: International Journal of Bioinformatics Research and Applications, Vol. 10, No. 6, 2014, p. 647-652
Journal article > peer review
2013
Christian Theil Have; Sine Zambach; Henning Christiansen / Effects of Using Coding Potential, Sequence Conservation and mRNA Structure Conservation for Predicting Pyrroly-sine Containing Genes
In: BMC Bioinformatics, Vol. 14, No. 1, 2013
Journal article > peer review
2012
Sine Zambach / Regulatory Relations Represented in Logics and Biomedical Texts
Roskilde : Roskilde Universitet 2012, 151 p.
PhD thesis
2011
Sine Zambach; Tine Lassen / A Lexical Framework for Semantic Annotation of Positive and Negative Regulation Relations in Biomedical Pathways
Paper presented at 4th International Symposium on Semantic Mining in Biomedicine, 2011
Paper > peer review
More results... (total 21 results)
Research Projects
Outside activities

2022:

  • Teaching afternoon class on no-code and app development (PROSA)
  • Teaching "Introduction to R" (IDA)

2020-2021:

  • Co-organizer of the ACM Collective Intelligence Conference 2021 at CBS
  • Gyldendal: Teknologiforståelseskapitel (Technological understanding chapter)
  • PROSA lecture
  • IDA kode-lecture and workshop

2018-2019:

  • Gyldendal: Development of educational material within logic and machine learning, and consultant in material of technological understanding.
  • Kvinde kend din kode (book), FILO.
  • Workshops and lectures in Introduction to Programming: PROSA, Yngre Finansøkonomer, IT-lærerforeningen, ICILS2018/DPU, IDA, and various libraries.