We find novel solutions to research challenges through computational methods.

With the increased access to data, research is experiencing a period of wonderful opportunities. As a massive volume of data is generated by organizations and the public, computational methods offer help to make sense and tackle many challenges or the hyper-competitive world. Be it tens of millions of recruitment records, snapshots of organizational hierarchies, or social media campaign discourses – we specialize in making sense of complex, unstructured, messy, fuzzy data to understand the phenomena at hand.

At the Analytics lab we rely on methods to address the task and data at hand. For example, we might approach interaction data using Network Analysis (SNA), text data by leveraging natural language processing (NLP), projects’ data with configurational approach (QCA) and quantitative data relying on statistical methods. Most projects require a combination of several methods and qualitative work. The assemblage of approaches is dynamic and unique to each project!

Our mission is to generate insights that leverage data availability, rely on computational analysis methods, and are powered by rigorous research. This last bit is central to how we work: besides solving a problem at hand our insights must push the field forward, one research project at a time! We always consider what can we learn, how to communicate it, and make sure that the wide range of stakeholders can leverage it forward after the project is completed.

For additional information, please reach out to director Vasili Mankevich.

New at the lab

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  AI helping to tackle Disinformation and navigate EU lawsoktober 30, 2023
  Can AI help us to tackle the disinformation? How about navigating the complexity of EU laws on cybersecurity? Students of the new Human-Centered AI MSc program at the Analytics lab in collaboration with RISE created interactive apps tackling these questions. All three apps make use of machine learning classifiers and ChatGPT API. See the apps below and make sure to click the links to…
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  Analytics in recruitment: creating value with JobTech datajuni 8, 2023
  How to write a job ad to attract female developers? Or how to choose a new profession based on the unique combination of your interests? Maybe you would like to learn which skills are booming in Tech? Students of Systems Science at the Analytics lab created interactive apps leveraging JobTech recruitment data and analytics and natural language processing (NLP) techniques: ChatGPT API, Sentiment Analysis,…
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  Patterns of Public Spendingnovember 24, 2022
  On the platform of Analytics Lab, Systems Science students analyzed municipality open data of invoices and suppliers. The students delivered analysis in the form of dashboards and described the possibilities (and challenges) of analyzing public sector digitalization through the prism of external spending. One fascinating insight from the project presentations on November 1st was on how to move forward from seeing this data not…
• Open data insightsnovember 13, 2022
  SCDI Analytics Lab just finalized a project where four student groups worked with the accounts payable open data from four municipalities. The groups were able to find intriguing patterns that call into question some of the strategies employed in the municipalities. For more information, see here.
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  The Great Wave of Digital Competencejanuari 14, 2021
  In a recent report, researchers from SCDI have utilized NLP and a complete dataset of all job postings in Sweden 2006-2019 to measure the demand for digital competence. The results show a great wave of digital competence clashing over both the public- and private sector, with the public lagging the private. For additional info, please see the report (in Swedish) through https://www.digitalforvaltning.se/rapport/den-stora-vagen-av-digital-kompetens/  The report was…