Data science and AI students present solutions to real-life challenges

DKE dept. of Maastricht University, BSSC and BISS

Data science and AI students present their solutions to real-life challenges of Campus partners

Some 30 third-year students of the Data Science and Artificial Intelligence programme will give the final presentations of their semester projects. They will show us the result of the projects they have worked on for participating organizations BNY Mellon, Dela, the Dutch National Police Corps and Sitech Services. Please find the agenda and more information on what it is that the students have been working on here below. You will also find the timeslots per presentation. You will receive a link to join the presentations after registration. 10:00 - 10:15 Opening10:15 - 10:45 Dela case:Email classifier that will help DELA reducing the effort spent on manual pre-processing of their customer emails before forwarding them to the correct department10:50 - 11:20 Sitech Services case:Model that predicts whether alarms at Sitech Services generated by machine learning models are correct alarms. The challenge is to automate the decision without the knowledge of an experienced engineer. 11:25 - 11:55 BNY Mellon:&#x27;Ethics Framework’ that detects hidden bias to ensure that the AI/ML investment decisions and strategies by BNY Mellon promote fairness, ethics, accountability and transparency. Police:12:00 - 12:30 Case 1:Algorithms that help to personalize briefings of the Dutch Police not only based on the officer’s current location and role, but also taking into account available police data and information from open sources and social media. The aim is to come up with an algorithm to generate suggested proceedings based on the different data sources used by the CPO. 12:35 - 13:05 Case 2:The aim of this project by the Dutch police is to analyze the flows of personnel (in-, inter- and out-), to understand how to optimize the operational deployability within the Police Unit (Province) Limburg.The students aim is to answer the questions whether or not 1) the data provided is sufficient to train prediction models and 2) a prediction model can support solving forecast challenges in HR and Capacity Management.13:05 - 13:15 Closing presentation 13:30 - 14:00 More information on how to collaborate (open to all parties)14:00 - 14:30 Evaluation project (closed event)This is the first time that the Data Science and Knowledge Engineering (DKE) department of Maastricht University, the Brightlands Institute for Smart Society (BISS) and the Brightlands Smart Services Campus join forces. The collaboration provides for an excellent example where theory and practice meet and where participating organizations get to meet tomorrow’s talented employees.

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Data science and AI students present solutions to real-life challenges

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