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Researcher Contact details Email: bjorn [dot] eriksson [at] ekh [dot] lu [dot] se Phone: +46 46 222 08 86Organisation Growth, technological change, and inequality Visiting address: Scheelevägen 15B, Alfa 1, Lund Room number: Alfa1:2007 Service point: HS10 WebpageBjörn Erikssons profile in Lund University research portalOther affiliations Researcher Historical labour markets Researcher Economic dem
https://www.lusem.lu.se/bjorn-eriksson - 2026-01-02
3 November 2025 10:00 to 7 November 2025 15:00 | Seminar Are you writing your thesis? Welcome to Thesis support week, 3 to 7 November! Take the opportunity to receive support in:making your reading and writing more efficientwriting a literature reviewAI and thesis writingmanaging statisticsmanaging financial datausing the reference management system ZoteroThe Thesis support week is primarily aimed
https://www.lusem.lu.se/calendar/thesis-support-week-lusem-0 - 2026-01-02
On the first of January 1992 the present Equal Opportunity Act came into force. A central aim of this law is to improve the conditions of women's working life. One aspect of the law is the possibility to serve as a mean of shifting the balance of power between the sexes. This is meant to be achieved through the inclusion of requirements for active measures to promote equality. As a part of their s
This thesis deals with legal issues arisen from consumer-activated payment orders, regarding credit transfers, which are initiated via the Internet under an agreement (about using Internet-services) previously entered into between the bank and the payer (or the originator). This Internet-service is in the thesis called Internet banking. More and more customers, both consumers and others, activate
During recent years we have seen several large-scale crises. The 9/11 terror attacks, tsunamis, storms, floods and bombings have all been unpredictable and caused a great deal of damage. One common factor in these crises has been the need for information and one important source of information is usually web sites. In this work three new sets of web server access logs are presented and analyzed, o
LSTM architectures (Hochreiter and Schmidhuber, 1997) have become standard to recognize named entities (NER) in text (Lample et al., 2016; Chiu and Nichols, 2016). Nonetheless, Zhang et al. (2015) recently proposed an approach based on fixed-size ordinally forgetting encoding (FOFE) to translate variable-length contexts into fixed-length features. This encoding method can be used with feed-forward
