There were 72 delegates registered to attend the conference predominately from Northern Ireland, Scotland and England. Based on email address from registration, delegates were from a range of academic institutes and governmental bodies including Queen’s University Belfast, Ulster University, Centre for Longitudinal Study Information and User Support, Economic and Social Research Council, University College London, University of Edinburgh, Office of National Statistics, Northern Ireland Statistics and Research Agency, Demographic Dynamics Group at the Spanish National Research Council and Administrative Data Research Council – Scotland. We also had invited panellists Professor Thorradur Bjarnason, University of Akureyri, Professor Diego Ramiro, Spanish National Research Council and Dr Dermot O’Reilly, QUB.
22 tweets used our hashtag #UKCensusLS for the conference. This generated 147 likes and 85 retweets. Below is a sample of some of the twitter interactions over the two days.
The collective intelligence method for impact workshop
The Collective Intelligence Network Support Unit (CINSU) provides facilitation support for teams and groups working to address complex issues across a variety of organizational and societal contexts. CINSU includes facilitators from multiple disciplines and backgrounds who strive to deliver high quality collective intelligence facilitation. CINSU members use John Warfield’s methodology, Interactive Management (IM), combined with other collective intelligence methods (e.g., scenario-based design) to maximize team intelligence and collective action.
Our workshop was facilitated by Michael Hogan and Owen Harney, University of Galway
, and Jenny Roarke, QUB. It was well attended with 22 participants which was maximum capacity. Participants were from a range of backgrounds including academics, government statisticians, and representatives of the public health agency and other governmental departments. Feedback from the workshop was very positive and we gained some useful insights from the activities which we can use to further develop NILS and expand its user base.