Florence Nightingale Colloquium
- Antti Ukkonen
- 23 October 2018
Niels Bohrweg 1
2333 CA Leiden
From the Data Science Research Programme a new series of seminars is being organized, in cooperation with the LIACS, MI and LCDS. In honour of Florence Nightingale, the famous statistician, monthly a leading speaker gives a lecture on a current theme on data science.
This first seminar we welcome Antti Ukkonen, who is an Academy research fellow at University of Helsinki. He obtained his doctoral degree at Aalto university in 2008, and has since held positions at Yahoo! Research, Helsinki Institute for Information Technology HIIT, and Finnish Institute of Occupational Health. Currently he is the PI in the “Data Science for the Masses” project funded by Academy of Finland. His research interests include algorithmic aspects of (distributed) human computation and machine learning, as well as applied data science.
Antti will talk about distance between two data points as a fundamental ingredient of many data analysis methods: "In this talk I review some of my work on “human computation” algorithms that use relative distance comparisons only. That is, statements of the form “of items a, b, and c, item c is an outlier”, or “item a is closer to item b than to item c”. Such statements are in many cases easier to elicit from human annotators than absolute judgements of distance on some (possibly arbitrary) scale. I consider the problems of centroid computation (HCOMP 2013), density estimation (HCOMP 2015), and clustering (ICDM 2017), and conclude with some sneak peeks of current work."