As the use of historic building as venues for commercial activity grows, events management professionals working in historic buildings are faced with a number of sustainability challenges, including conservation, preservation, social value and financial sustainability, as well as with satisfying their clients. In particular, these professionals are required to maintain the complex balance between the competing priorities of historic value and contemporary relevance. Little research has thus far investigated the role that sustainable events can play in the management of historic buildings, beyond considerations of the trade-off between conservation and income generation. This research analyses the contribution that events can make to the sustainable management of historic buildings, with an emphasis on understanding the perspectives of event managers within these properties, based on qualitative interviews with historic building event managers and stakeholders in London, United Kingdom. A key finding of the research is that event managers within historic buildings have complex views of sustainability that are specific to these properties and which are not captured in the mainstream events management literature. The paper contributes to the emerging literature on sustainable events and also develops earlier research on the role of events and other income-generating activities in historic buildings.

Awareness and management of ethical issues in data science is becoming increasingly relevant to us all, and a crucial skill for data scientists. Discussion of contemporary issues in collaborative and interdisciplinary spaces is an engaging way to allow data science work to be influenced by those with expertise in philosophy, history, sociology and beyond, and so improve the ability of data scientists to think critically about the ethics of their work. However, opportunities to do so are limited. Data Ethics Club (based at dataethicsclub.com) is a fortnightly discussion group about data science and ethics, whose community-generated resources are hosted in an open online repository. This repository includes a list of data science and ethics materials around multiple topics of interest, alongside processes and templates for leading an online data ethics discussion group. These meetings and materials are designed to reduce the barrier to learning, reflection and critique on data science and ethics for all interested parties, with the broader aim of building ethics into the cultural fabric of quality data science work.

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