Networks are central to the ELN. As part of the ELN’s series of reflections on our tenth anniversary, ELN policy fellow and coordinator of the YGLN Julia Berghofer offers her personal reflections on early career networks.
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Networks are central to the ELN’s way of working. As part of a series of reflections on the ELN’s anniversary, we invited N Square to share their case study of building a diverse network to work creatively on nuclear policy.
As part of the ELN’s series of reflections on our tenth anniversary, Senior Associate Fellow Heather Williams shares her personal reflections on the human side of the nuclear policy field.
In the ELN’s anniversary year, we sat down with its three founders – Lord Browne, Shata Shetty and Ian Kearns – to discuss the story of how it all started, what they’ve learned and what the organisation has achieved over the past decade.
The direction Iran’s new president takes will be shaped by the composition of his cabinet and his experiences during his time in office. The shift to the far right in Iran does not then mean that the JCPOA is off the table. There is an opportunity to restore it, and it should be seized, writes Adnan Tabatabai.
Contrary to many analyses, the US decision not to impose further sanctions against Nord Stream 2 may be bad news for the Kremlin, as it signals better prospects for US-EU co-operation regarding Moscow, writes Agathe Demarais.
Since late 2016 when ‘Global Britain’ was first mentioned, the UK has been defining its post-Brexit foreign policy framework, aims and ambitions. Nikita Gryazin argues that ‘the Churchill Factor’ plays an important role in Boris Johnson’s ‘Global Britain’ narrative.
The lesson of Nord Stream 2 is clear: the German public debate needs more realism. To continue pretending that Germany can increase its economic dependence on Russia at little to no geopolitical cost is naïve ostpolitik, suggest ELN Policy Fellow Dr Maximilian Hoell.
Marina Favaro summarises her recent report “Weapons of Mass Distortion” for King’s College London that uses machine learning to explore which emerging technologies are most likely to escalate a crisis past the nuclear threshold.