
Intelligent Systems and Data Science team @kmiou #DataScience #SemanticWeb #VisualAnalytics #Robotics #IoT #HCI #SmartCities #ScholarlyData #DigitalHumanities
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ALT Understanding and Improving the Relationship Between Academia, Industry, and Society The main objective of this project is to analyse the relation between academia, industry, and society with the aim of understanding how these stakeholders influence each other and producing novel solutions to improve their knowledge flow and accelerate scientific progress. In particular, we will focus on analysing how new ideas and technologies from academia are implemented in concrete products by industry and adopted by society. The student will integrate and leverage information from heterogeneous sources (e.g., scientific articles, patents, social media, news) and design AI-based analytical solutions to investigate the dynamics in this space and improve knowledge exchange.

ALT Assessing and Mitigating the Impact of Global Phenomena, Geopolitical Factors, and Bias on Research The scientific enterprise is affected by global phenomena, such as the COVID-19 pandemic, geopolitical factors and different kinds of bias. This PhD project aims at shedding light on these issues and assessing their impact across gender, countries, disciplines and others. The main objective is to exploit large-scale datasets of scholarly knowledge, i.e., scientific knowledge graphs, to analyse collaboration, productivity, and other factors with the aim of understanding the extent of the phenomenon and identifying strategies to make scientific research more inclusive and resilient to external factors.





































