Roberta Sinatra visit

I’m very excited to have Roberta Sinatra visiting the group for the week of April 3rd. She is an Assistant Professor at the Center for Network Science and Math Department at the Central European University in Budapest.

Roberta works on ‘the science of success’, her most recent adventures resulting in two very impressive pieces in the interdisciplinary journal Science (and corresponding world wide press coverage). Check out those papers here and here.

She will give a talk about her work at DTU Compute. Details can be found below.

  • Date: April 4th, 2017
  • Time: 13:00
  • Location: Technical University of Denmark, Building 321, 1st floor lab space.

Title: Quantifying the evolution of individual scientific impact

Abstract:Despite the frequent use of numerous quantitative indicators to gauge the professional impact of a scientist, little is known about how scientific impact emerges and evolves in time. In this talk we quantify the changes in impact and productivity throughout a career in science and show that impact, as measured by influential publications, is distributed randomly within a scientist’s sequence of publications. This random impact rule allows us to formulate a stochastic model that uncouples the effects of productivity, individual ability and luck, unveiling the existence of universal patterns governing the emergence of scientific success. The model assigns a unique individual parameter Q to each scientist, which is stable during a career and accurately predicts the evolution of a scientist’s impact, from the h-index to cumulative citations. Finally, we show that the Q-parameter is more predictive of independent recognitions, like prizes, than cumulative citations, h-index or productivity.

Michael Szell Visit

We are very lucky to have Michael Szell visiting the week of April 3rd. Micheal is a research fellow at the Hungarian Academy of Sciences, Centre for Social Sciences and visiting at Northeastern University, Center for Complex Network Research. He’s previously worked at the MIT Media Lab’s Senseable City Lab.

Michael’s research focuses on a quantitative understanding of collective behavior. How the the underlying patterns of our interlinked actions and decisions can be modeled in computational social science, and his past research involves mining and modeling large-scale data sets of human activity following a complex networks/systems approach.

His exciting work has been featured in PNAS, Nature Physics, Science, and many other fine journals. During his visit, Michael will give a talk at DTU Compute.

  • Date. Tuesday April 4th, 2017
  • Time: 14:00
  • Location. Technical University of Denmark, Building 321, 1st floor lab space.
Title: Using network science and data visualization to assess the potential of urban sharing  economies
Abstract: We introduce the notion of shareability network, which allows us to model the collective benefits of sharing rides as a function of passenger inconvenience, and to efficiently compute optimal sharing strategies on massive datasets. We first apply this framework to a dataset of millions of taxi trips taken in New York City, showing that with increasing but still relatively low passenger discomfort, cumulative trip length can be cut by 40% or more. This benefit comes with reductions in service cost, emissions, and with split fares, hinting toward a wide passenger acceptance of such a shared service. Simulation of a realistic online system demonstrates the feasibility of a shareable taxi service in New York City. Shareability as a function of trip density saturates fast, suggesting effectiveness of the taxi sharing system also in cities with much sparser taxi fleets or when willingness to share is low. Indeed, applying the same framework to a diverse set of world cities, using data on millions of taxi trips beyond New York City, in San Francisco, Singapore, and Vienna, we compute the shareability curves for each city, and find that a natural rescaling collapses them onto a single, universal curve. We explain this scaling law theoretically with a simple model that predicts the potential for ride sharing in any city, using a few basic urban quantities and no adjustable parameters. Accurate extrapolations of this type will help planners, transportation companies, and society at large to shape a sustainable path for urban growth. Finally, we present “What the Street!?”, an online platform for the interactive exploration of city-wide mobility spaces, published in April 2017. The aim of What the Street!? is to facilitate the intuitive exploration of (wasted) mobility space in cities, exploring why and to which extent space is distributed unevenly between different modes of transportation. We demonstrate how this data visualization of re-ordered city spaces can effectively inform relevant stakeholders and the public about large-scale reductions of parking spaces in future scenarios of wide-spread car-sharing.

Kim Albrecht Visit

We’re very lucky to have Kim Albrecht visit for a few days later this month. Kim is a gifted visual researcher and information designer. His work is absolutely amazing (beautiful as well as informative).

Screenshot 2017-03-07 14.16.02

Above is, for example, a summary of the careers of 128 tennis players;  read the full story here. We are very lucky to have Kim speaking at DTU later this month!!
  • TitleImagining Complex Systems
  • Time: Tuesday March 28th, 10 AM
  • Location: DTU Building 321, 1st floor lab space (details)
Abstract: How can visualization help to understand the world surrounding us? That is the basic underlying question that comes up in all projects that Kim investigated in throughout the last years. This theme sees design as something different than communication or decoration. It is not about a style, a trend or fashion anymore. The design process becomes a tool to create insights and knowledge. But once investigating these created technological artifacts in more depth all the cultural formations forming the graphics come into focus demonstrating the subjectivity of visualization.
Bio:  As a visual researcher & information designer, Kim Albrecht is interested in networks, time, power, processes and how we can find visual representations for these topics to produce and represent knowledge. Currently, Kim is based in Boston, working at the Center for Complex Network Research as a visualization researcher. He collaborates and builds visualization interfaces with research groups from a wide variety of scientific fields and Universities (Harvard University, UCLA, Stanford University). In 2016 Kim started his Ph.D. research at the University of Potsdam in the field of media theory. Researching information visualizations and their interfaces regarding their epistemological value.