Tiago Peixoto
Title: Visualizing network hierarchies
Bio: Tiago P. Peixoto is Associate Professor in the Department of Network and Data Science at the Central European University, in Budapest. He obtained his Habilitation in Physics at the University of Bremen in 2017, and his PhD in Physics at the University of São Paulo in 2008. He was the recipient of the 2019 Erdős-Rényi Prize in Network Science. His research focuses on characterizing, identifying and explaining large-scale patterns found in the structure and function of complex network systems — representing diverse phenomena with physical, biological, technological, or social origins — using principled approaches from statistical physics, nonlinear dynamics and Bayesian inference.
Ágnes Telek
Title: Budapest Time Machine – find the (hi)stories behind the data!
Bio: Agnes Telek graduated from Art History Major. Her research area is the architecture and the urban history of the turn of the century Budapest. She is a team member of the research service group at the BCA and also participates in organizing preparing cultural cooperations and open day/public events.
Agnes Telek is also highly interested in contemporary visual arts and photography, curating exhibitions, giving presentations and publishing articles in this field. She is currently head of team of the Department of Maps, Plans and Photographs for the Budapest City Archives (BCA) and Time Machine Ambassador.
For more info visit her Linkedin profile.
Slides: Find the (Hi)stories behind the data
Tünde Szabó
Title: Visualizing mass mobility based on mobile cellular data, to frame the real risks behind the media hype
Bio: Tünde Szabó Ph.D. is a researcher of the Hungarian Academy of Sciences, Geographical Research Institute, and the founder of GEOInsight Ltd. Tünde started her career as an urban planner and spatial data analyst for the City Budapest, focusing on metropolitan-scale structure planning. Tünde completed her MSc degrees in Geography and Regional Planning at the Eötvös Loránd University of Sciences in Budapest, and Environmental and Infrastructural planning at the University of Groningen, in the Netherlands. She completed her Ph.D. degree in the field of agglomeration economies, mobility patterns of metropolitan spaces, and spatial data mining. Tünde takes part in the Spatial Big Data research group at the Hungarian Academy of Sciences, working together with Hungarian Telekom, to define novel methods of scientific exploration, based on mobile cellular data. Tünde and her research fellows work also together in GEOInisght Ltd., to reveal business insights in spatial big data, using Machine Learning.
Slides: Visualizing Mass Mobility Based on Mobile Cellular Data
Attila Bátorfy
Title: Ups and downs of building a dataviz-project for public service
Bio: Attila Bátorfy is founder and head of visual journalism team Átló, subsidiary dataviz-project of investigative journalism center Átlátszó. He teaches journalism, visual storytelling, data visualization and information design at the Media Department of Eötvös Loránd Science University. He is currently working on his Phd-thesis on the history of Hungarian information graphics.
For more info visit https://www.batorfyattila.com