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September 2021

Roberta gives a seminar for Reykjavik University and the Gran Sasso Science

September 22, 2021 @ 15:00 - 16:00

TITLE: Quantifying biases in science   ABSTRACT: Every day our life is made easier by efficient measures and algorithms that search and rank scientific information. Yet, these algorithms have an issue: they are trained on citations, which are ingrained with human biases. Therefore the output is inherently biased too, creating inequalities, raising concerns of discrimination, even harming economic growth. I will present research focusing on quantifying bias in publication data. The overarching goal of this research is to uncover the…

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October 2021

Talk Bojan Kostic at CRBAM21

October 14, 2021 @ 15:30 - 15:45
IDA CONFERENCE, Kalvebod Brygge 31-33
Copenhagen, 1780 Denmark
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Analysing cyclist behavior at signalized intersections using computer vision Artificial intelligence, in particular deep learning and computer vision, is a promising new tool for automated video analysis in traffic studies. It allows for facilitated extraction of detailed data from video recordings at higher efficiency and lower costs, improved precision of obtained data, and reduced errors caused by manual video elaboration. This method has the potential to answer detailed questions on human traffic behavior which were very difficult, if not impossible,…

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Talk Anastassia Vybornova at CRBAM21

October 15, 2021 @ 10:00 - 10:15
IDA CONFERENCE, Kalvebod Brygge 31-33
Copenhagen, 1780 Denmark
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Network algorithms for the identification and classification of gaps in urban bicycle networks based on OSM data What is the best location to build new bicycle infrastructure in a city? This planning decision can be conceptualized as an optimization problem: the goal is to find the most efficient solution – that is, the one that has the highest (positive) impact on the bicycle network at least cost. However, identifying locations that will significantly improve network quality is far from being…

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Talk Michael Szell at CRBAM21

October 15, 2021 @ 11:00 - 11:15
IDA CONFERENCE, Kalvebod Brygge 31-33
Copenhagen, 1780 Denmark
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The geometric limits of growing urban bicycle networks City planners worldwide are increasingly realizing that cycling can be a promising solution to their unsustainable car-centric transport systems. However, common bicycle network planning practices follow piecewise ad hoc approaches which do not take into account the transportation network and its structural complexity as a whole. Here we take a first step in exploring systematically the general geometric limitations in the development of urban bicycle networks. We study the process of growing…

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Invited Talk Michael Szell at Urban Complex Systems

October 27, 2021 @ 11:00 - 12:00

Making cities better with human-centric urban data science Making our cities better and sustainable is key to solving the climate and urban transport crises. To this end, urban data science offers new tools to quantify societal problems in cities and to propose human-centric solutions to policy makers. In this talk I outline our recent and ongoing efforts towards that end, focusing on urban transport and vulnerable road users. I discuss inequalities between transport modes through mobility space and collision threat…

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Talk Michael Szell at UrbanSys21

October 28, 2021 @ 09:00 - 10:00

Growing cohesive urban bicycle networks City planners worldwide are increasingly realizing that cycling can be a promising solution to their unsustainable car-centric transport systems. However, common bicycle network planning practices follow piecewise ad hoc approaches which do not take into account the transportation network and its structural complexity as a whole. Here we take a first step in exploring systematically the general geometric limitations in the development of urban bicycle networks, using tools from network science. We study the process…

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March 2022

NERDS Seminar: Tom Brughmans

March 2 @ 12:30 - 13:30

Tom Brughmans, Aarhus University: Archaeological Network Research, illustrated through a study on visual signalling networks of Medieval strongholds in Garhwal Himalaya, India.  This presentation provides a brief overview of network research in archaeology. What are the past phenomena typically studied using network methods in archaeology, and what empirical datasets tend to be represented as network data? When were these approaches adopted and how did the popularity in their application change over time? It will illustrate some aspects if this field through a recent study of network Medieval strongholds in the Himalayas (co-authored…

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Invited Talk Michael Szell at PhyMo22

March 11 @ 09:30 - 10:00

Towards a human-centric urban data science Making our cities better and sustainable is key to solving the climate and urban transport crises. To this end, urban data science offers new tools to quantify societal problems in cities and to propose human-centric solutions to policy makers. In this talk I outline our recent and ongoing efforts towards that end, focusing on urban transport and vulnerable road users. I discuss inequalities between transport modes through mobility space and collision threat distributions, and…

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NERDS Seminar: Giulia Reggiani

March 23 @ 12:30 - 13:30

Understanding bikeability of urban networks Giulia Reggiani, Delft University of Technology About the author: Giulia Reggiani is ending her PhD in the department of Transport and Planning, Delft University of Technology. Her research in the last 4 years focused on structural properties of bicycle networks worldwide and on data driven methods for assessing bikeability. Her current interests lie in the broad domains of smart mobility, data analysis, and sustainability. About the presentation: Having a bicycle network that is fully separated from…

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April 2022

Talk: Luca Maria Aiello at ANET Lab Seminar Series

April 1 @ 10:00 - 11:00

Abstract Social relationships are the key determinant of crucial societal outcomes, including diffusion of innovation, productivity, happiness, and life expectancy. To better attain such outcomes at scale, it is therefore paramount to have technologies that can effectively capture the type of social relationships from digital data. NLP researchers have tried to do so from conversational text but mostly focusing on sentiment or topic mining, techniques that fall short on either conciseness or exhaustiveness. We propose a theoretical model of 10…

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