Knowledge aperò
FGB is launching this new networking initiative: Knowledge Aperò, an after work informal gathering, with fifteen guests, for sharing discussion and wine. Networks bring inspiration, multiplying the dimensions of value generated by individuals, institutions and companies. We would be very pleased if you could join us to share ideas, perspectives and projects. The first event is going to be “Identifying skills in a borderless workspace: A lens over the Traditional, Open Talent and Gig Economies” at our office in Brussels (Avenue Marnix 19A 1000 Bruxelles), on Wednesday 9th November at 18.00
There will be a brief presentation from Terence Hogarth (FGB) and Agis Papantoniou (Cognizone) – on the issues summarised below – followed by questions and discussion
Places are limited, apply for participation by sending an email to eventi@fondazionebrodolini.it
Traditional career structures are increasingly a thing of the past. People move between jobs and between employers more so than in the past. The job for life has long been recognised as a thing of the past. Many more are now self-employed using networks to move from contract to contract, as reflected in the gig economy and open talent sourcing. The observed fluidity in the labour market may well reflect a flexible response to the changing demands of the global economy. But any market, if it is to work effectively, is dependent upon information. The labour market is no different. People need, amongst other things, the information that will secure them a job or contract today and in the future. Skill represents a large part of that information need. Employees, jobseekers, employers, labour market intermediaries, and policy makers, all need information about the skills that will deliver jobs today and, perhaps more importantly, secure those in the future.
From where will this information be derived? What are the means that will yield robust information about skill needs in a labour market where both content of jobs is changing within the context of major adjustments in the structure of employment? FGB and Cognizone will show how tried and trusted methods reliant upon accepted nomenclatures and classificatory systems can be combined with innovative cutting edge approaches made possible by, for instance, the development of active learning algorithms.