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How can data science methods be used on planning better social and health services?

What kind of data do the social media platforms provide nowadays and how can we make use of it?

What kind of new services could we create with the help of data science?

How can data science support evidence-based decision making for the government, organizations and private companies?

What kind of ethical challenges machine learning and artificial intelligence developers are facing and how are they being handled?

Come and find out! Meet the top researchers from University of Helsinki centres of Data Science HiDATA and Social Data Science CSDS.

The programme and more info about the speakers will soon be published here. Please save the date and register.

HiDATA and CSDS event organising team

Helsinki Centre for Data Science (HiDATA) is a world-class hub of Data Science in Helsinki. Data Science is an interdisciplinary field focusing on methodologies for extracting knowledge and insights from data thus contributing to different areas of science. The centre builds on the pioneering scientific results of the community and paves way for new breakthrough results across disciplines. The overarching goal of HiDATA is to leverage the synergies of the network in solving significant societal and industrial challenges related to data analysis. HiDATA is a joint hub of the two participating universities University of Helsinki and Aalto University.

The aim of Centre for Social Data Science (CSDS) is to advance methodologically oriented, applied and theoretical research and teaching in the social sciences. CSDS promotes open data and open science as well as development of infrastructures for data. In addition, CSDS aims at increasing the collaboration between researchers and methodology experts, with the goal of improving both applied research as well as methods research. Operational responsibility of the CSDS is at the Faculty of Social Sciences.