Department of Digitalization
Niels Buus Lassen is PhD Fellow at the Department of Digitalization of the Copenhagen Business School, and researcher at the Computational Social Science Laboratory (http://cssl.cbs.dk).
Computational Social Science Laboratory (http://cssl.cbs.dk) conducts transdisciplinary basic research at the socio-technical intersections of computer science and social science with specific applications tomanagers in companies, teachers in schools and residents in cities.
CSSL's basic research program is aimed at explaining socio-technical interactions. CSSL's applied research program seeks to design, develop and evaluate big data analytics applications for managers (descriptive, predictive, and prescriptive analytics), teachers (teaching analytics and learning analytics), and citizens (public health analytics).
CSSL aspires to conduct engaged scholarship in the Pasteur's Quadrant. CSSL's objectives are not only to make seminal contributions to scientific knowledge as evidenced by peer-reviewed publications but also to create practical applications that yield meaningful facts, actionable insights, valuable outcomes, and sustainable impacts for organizations and society.
Niels Buus Lassen holds a MSc in Economics and BSc in Economics/Mathematics from Copenhagen Business School, and a MBA from Edinburgh Business School.
- Computational Social Science
- Big Data Analytics
- Social Set Analysis
- Social Business:
- Social Media Engagement
- Social Media Analytics
- Social Media Management
- Teaching Predictive Analytics
- Big Data Analytics (Data-in-Business Minor)
- Big Social Data Analytics
Niels Buus Lassen is currently supervising several master thesis students.
In: The SAGE Handbook of Social Media Research Methods. ed. /Luke Sloan; Anabel Quan-Haase. London : SAGE Publications 2017, p. 328-341
In: Symposium i anvendt statistik: 23.-24. januar 2017. . ed. /Peter Linde. København : Danmarks Statistik 2017, p. 71-86
In: Proceedings of the 2016 IEEE International Conference on Big Data (BigData '16). ed. /James Joshi; George Karypis; Ling Liu. Piscataway, NJ : IEEE 2016, p. 2447-2456
In: Symposium i anvendt statistik: 25.-27. januar 2016. . ed. /Peter Linde. København : Danmarks Statistik 2016, p. 241-256
Paper presented at International Conference on Computational Social Science, 2015
In: Proceedings of the 2015 International Conference on Social Media & Society. ed. /Anatoliy Gruzd; Jenna Jacobson; Philip Mai; Barry Wellman. New York : Association for Computing Machinery 2015
Rungsted Kyst : Efficiens 2015, 159 p.