New Webinar: AI and Data Science against COVID-19
Starting on 11 May 2020, The Finnish Center for Artificial Intelligence FCAI organises a webinar series together with Helsinki Centre for Data Science HiDATA. You are warmly welcome!
Photo by Fusion Medical Animation on Unsplash
The webinar series sheds light on how artificial intelligence-based systems and data science could be of help while fighting against COVID-19. It introduces some of the University of Helsinki and Aalto University top researchers and visitor lecturers from important stakeholder groups.
The webinars will be held every second Monday afternoon, starting from 11 May 2020 and they are open to everyone.
Further programmes and webinar links will be updated to the University of Helsinki website, under each individual webinar. You are warmly welcome!
Monday, 11 May 2020
Join us at 3 pm (Helsinki time) for a one-hour session chaired by prof. Petri Myllymäki, vice director of FCAI and the following talks:
Miika Koskinen: Clinical data repositories, applicability and opportunities for biomedical research
Antti Honkela: Privacy-preserving contact statistics collection for COVID-19 epidemic management
Miika Koskinen: Clinical data repositories, applicability and opportunities for biomedical research
Miika Koskinen (D.Sc., Docent) is a senior scientist working as the Head of Analytics at Helsinki Biobank, HUS Helsinki University Hospital. His background is in biomedical engineering, data science, signal processing and neuroscience. The current projects relate to systems and personalized medicine and opportunities of big data analysis and modelling.
Antti Honkela: Privacy-preserving contact statistics collection for COVID-19 epidemic management
Many European countries are planning to deploy contact tracing apps to help COVID-19 epidemic management. Privacy is an absolute requirement for such apps, and typically they would only share a list of anonymous identifiers of recent contacts when someone is diagnosed positive. We propose additional opt-in sharing of numbers of daily contacts of users under strict privacy guarantees from differential privacy. Such data would help epidemic modelling and monitoring the impact of non-pharmaceutical interventions needed for managing the epidemic.
Antti Honkela is Associate Professor of Data Science at the Department of Computer Science at the University of Helsinki. He is the coordinating professor of the Research Programme in Privacy-preserving and Secure AI at the Finnish Center for AI (FCAI). Prior to his current position, he was an Assistant Professor of Statistics with a joint appointment at the Faculty of Science and the Faculty of Medicine at the University of Helsinki. His research interests include machine learning and privacy, with applications especially in computational biology and medicine.
Monday, 25 May 2020
Join us at 2 pm (Helsinki time) for a one-hour session chaired by prof. Simo Särkkä, leader of AI across fields in FCAI.
Monday, 8 June 2020
Join us at 3 pm (Helsinki time) for a one-hour session chaired by Patrik Floréen, vice director of HiDATA.