Data Science – Department of Informatics – DDIS https://www.uzh.ch/blog/ifi-ddis Dynamic and Distributed Information Systems Group Thu, 26 Aug 2021 09:31:28 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.2 Pernish et al. in the Journal of Web Semantics! https://www.uzh.ch/blog/ifi-ddis/2021/08/26/pernish-et-al-in-the-journal-of-web-semantics/ Thu, 26 Aug 2021 09:31:27 +0000 https://www.uzh.ch/blog/ifi-ddis/?p=717 Our colleague Romana Pernisch published a journal paper in the renowned Journal of Web Semantics! Together with former DDIS postdoc Daniele Dell’Aglio and Prof. Bernstein, she investigated the evolution of ontologies and introduced measures to capture the impact of changes on the materialization.

While this great achievement provides cause for celebration, we are also sad to see Romana leave to start her position as a postdoctoral researcher at the Vrije Universiteit Amsterdam in the Netherlands as soon as September 1! We wish her good luck and all the best for her future endeavors!

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Data Don’t Lie: Same Data, Different Conclusions https://www.uzh.ch/blog/ifi-ddis/2021/08/10/data-dont-lie-same-data-different-conclusions/ Tue, 10 Aug 2021 09:12:23 +0000 https://www.uzh.ch/blog/ifi-ddis/?p=709 A new paper shines a light on the disparity in the interpretation of data which can lead researchers to different conclusions. Among the large list of authors is also Prof. Bernstein along with former colleague Michael Feldman. The article also received coverage from The Economist (paywall) which is encouraging to see since people outside of the direct field find the results worth reporting on.

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CrowdAlytics: Large-Scale Human-Machine Systems for Data Science https://www.uzh.ch/blog/ifi-ddis/2019/09/30/crowdalytics-large-scale-human-machine-systems-for-data-science/ Mon, 30 Sep 2019 11:48:07 +0000 http://www.uzh.ch/blog/ifi-ddis/?p=576 In August a new project has started at DDIS. The aim of this research project is to investigate how people and AI can work together to solve data science tasks. In particular, we would like to develop new methods of human-machine cooperation, that allow both novice and expert users as well as machines to collaborate on complex data science tasks. We combine findings from statistics, data science, swarm intelligence research and computer-supported group work. The findings of this study help us to better understand how people and machines work together, a goal that is becoming increasingly important to our lives and work in the age of AI.

People participating in the project: 

  • Prof. Abraham Bernstein
  • Cristina Sarasua
  • Dhivyabharathi Ramasamy
  • Florian Ruosch

Start/End-date: 01.08.2019 – 31.07.2023
For more information, see our project description.

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