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• 21 mar 2019

  22 mar 2019

  Paris

  Conference, symposium - Law

  Legal data mining, machine learning and visualization

  The aim of the conference is to structure a conversation on both the fundamental and practical issues on legal data mining and machine learning between scientists and professionals from artificial Intelligence, data science, law, and logic. The Legal Data Mining, Machine Learning and Visualization conference will explore the specific technical challenges from data mining and machine learning technique addressing together practical and legal theoretical issues. It is an opportunity for computer scientists to showcase and explore in conversation with lawyers further developments in AI and data-mining applied to the legal domains. Legal academics specializing in the interface of law and AI are given the opportunity to articulate the challenges of automated functions in law including in natural language processing applied to law, information extraction from legal databases and texts and data mining applied for legal analytics.

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• 30 nov 2017

  Zagreb

  Summer School - Science studies

  Understanding and stimulating social sciences and humanities impact and engagement with society

  Training school

  This training school provides participants with insights into the theories and practices of stimulating impact creation from social sciences and humanities research. It will focuses on three specific dimensions. Firstly, creating a conceptual understanding on the specificities of social sciences and humanities (SSH) impact and non-­linear impact models. Secondly, alternative appropriate policy frameworks for maximising SSH impact. Finally, we will explore ways of supporting scholarly practices to optimise the creation of impact through SSH research, and capturing this with evaluation systems.

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