Do you have the ambition to develop world class research in Theoretical Computer Science at the Informatics Institute, and together with the other new chair Theoretical Computer Science at the Institute for Logic, Language, and Computation form a strong and visible nucleus Theoretical Computer Science in our University? Are you willing to collaborate with other research groups, also within other faculties of the University, to seek relations with public or private partners, to be visible in the broader academic community, to teach theoretical computer Science in our bachelor/master programs and to take responsibility for all theory of computer science aspects of our educational programs?

We offer a position of full professor in Theoretical Computer Science in the Informatics Institute of the University of Amsterdam. This new chair is embedded in the Informatics Institute of the University of Amsterdam and will lead the Theory of Computer Science group. The chair holder should develop a unique profile within the Informatics Institute while interacting with one of more research groups within the Institute. The Institute for Logic, Language, and Computation of the University of Amsterdam will also establish a new chair in Theoretical Computer science, and both chair holders should build links and create a visible nucleus of Theoretical Computer science in Amsterdam, also together with VU and CWI.

Source: www.uva.nl

Networks are ubiquitous in natural, technological and social systems. They offer a fertile framework for understanding and controlling the diffusion of ideas, rumors, and infectious diseases of plants, animals, and humans. Despite recent advances, many challenging scientific questions remain about the correct tools and their practical role in epidemics dynamics and effective strategies supporting public health decision making. The goal of this special issue is to offer a platform to the interdisciplinary community of scientists working on the diffusion process on networks and its plethora of applications. We hope for a broad range of topics to be covered, across theory, methodology, and application to empirical data with a special emphasis on epidemic spreading.

 

Important dates
Expression of interest and abstract submission: July 10, 2020
Abstract feedback notification: July 13, 2020
Paper submission deadline: September 21, 2020
Target publication: November 01, 2020

Source: appliednetsci.springeropen.com

The Observatory on Social Media (OSoMe, pronounced ‘awe•some’) at Indiana University is looking for a postdoctoral fellow to work at the intersection of computing, network, data, and media sciences with a focus on (mis/dis)information diffusion and the detection and countering of online manipulation.

Source: cnets.indiana.edu

During the transition from the year 2019 to the year 2020, the world was introduced to a new virus that commenced affecting its cities and the people residing in them.

March 11th 2020 marked the day that the WHO declared the world is coping with a pandemic.

Covid-19, the virus causing this pandemic, has spread extensively from Wuhan, China to cities like New York, Madrid, Moscow and Bergamo.

Cities are complex systems[1], and the entrance of an uninvited virus adds to their unpredictable, dynamic nature.

Some cities were put under lockdown, restricting the movement and economic activities of their citizens, while others did not wish interfering with the natural flow of urban life, imposing minimal limitations.

While cities around the world are adapting to the life alongside Covid-19, this unusual situation creates a fertile ground for contemplation about urban living during a pandemic and its aftermath.

TAU City Center invites students across the globe to share their thoughts and impressions on how their city has been affected by and coped with Covid-19.

This Project aims to display different perspectives reagrding urban living during the Covid-19 pandemic.

Source: en-urban.tau.ac.il

The Department of Network and Data Science (DNDS) at the Central European University (CEU) carries out research in network science, with a special focus on the foundations and applications of network science to practical data-driven problems. A key element of the mission of DNDS is to work across disciplines to bring network and data science tools to many fields of the social sciences and related areas. DNDS translates these ideas into research projects – our faculty have won several major grants, from European Union and US funding agencies. DNDS offers a PhD Program and an Advanced Certificate Program in Network Science and will host a BA in Quantitative Social Sciences starting, presumably, in 2021. Data science tools and the network science approach offer a unique perspective to tackle complex problems, impenetrable to linear-proportional thinking. Building on decades of development of fundamental understanding of networks, the modern data deluge has opened up unprecedented opportunities to study and understand the structure and function of social, economic, political and information systems. Data-driven network science aims at explaining complex phenomena at larger scales emerging from simple principles of network link formation.

Source: www.ceu.edu