AGENDA & TRANSPORTATION 

DOWNLOAD THE TRANSPORT INFORMATION. GET PRICES FROM THE AIRPORT IN TAXI AND THE MEETING POINTS OF OFFICIAL BUSES TO ARRIVE AT THE CONFERENCE IN
SERENA DEL MAR !

Download the Agenda of the main conference here!

Download the Agenda of the school here!

DOWNLOAD THE PROCEEDINGS FILE WITH ALL THE INFORMATION REGARDING THE PRESENTATIONS OF THE LANET2019!

MINISYMPOSIA

LANET2019 will have 8 minisymposia with diverse topics in applications of Networks Science. Each minisymposum will take 2 hours and it will contain four talks of a selected group of leading scientists.

https://www.flickr.com/photos/kharak/32631222440/in/photolist-7chtBn-Sd475L-2dW2eCh-9VU8bD-RHvxzs-5oQzEB-qKXc4M-WmMDPY-qmTHH9-oo97HL-9VU6Sa-9VU79t-9VWVTW-MKKZQ8-adTfMB-o3ZrMe-9VU8ur-9VU8g8-QJszkB-bxXbrc-o3SJNE-o3SJG7-ftg1ba-9VWVXu-azjKy9-oEbWHs-azjDyf-nLvW3r-6RjHjq-ftvm4q-4DX1uB-7UDzHT-9VWWwb-9Q8mvn-o3SJ8b-opD8gV-22w8mwW-omRZWq-agKXAw-a6DSmZ-oD2sTb-o5Fbqp-azjWyb-neyiSn-YGePML-FRJybp-j7SbBh-Ska188-6PpTck-s2fz13/

Complex Networks in Ecology: from bacteria to mammals

Javier Galeano

The objective of the symposium is to create a space for exchanging state-of-the-art results and current developments of network theory applied to ecological systems, and the implications in terms of resilience and vulnerability that realistic population dynamics may impose on those networked systems.

For information email to javier.galeano@upm.es

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Biological Networks

Yesid Cuesta-Astroz

Biological networks simplify the complexity of the study of biological systems in order to unravel the topological properties of complex systems, dynamics, robustness and the role of specific components within the biological system. Biological networks provide a mathematical representation of connections found in ecology, evolution, physiology, biochemistry or based on different omics technologies among other areas. On the other hand, the study of human diseases through networks has led to the emergence of network medicine. In this symposium, we will focus (but are not limited) on cellular networks to explore phenotypical changes across different biological systems.

For information email to yesid.cuesta@udea.edu.co

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Computational Mass Migrations: Big Data to understand mobility

Isabella Loaiza & Samuel Heroy

Mass migrations are one of the main societal challenges in the last decade. Europe, Central America, and South America are witnessing the displacement of millions of people at an unprecedented speed and scale. To harness the positive effects of migrations for both migrants and host communities, new scientific and technological tools and frameworks need to be developed to understand the processes of spatial displacement, social and economic integration of migrants in their host communities to provide insights that can be translated into policy.

For information email to isal@mit.edu

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Network Properties of Topological Data Analysis

Alejandro Feged and Tomás Rodríguez

With the advent of data science and computer power, an explosion of computational and mathematical methods has an overcrowded empirical analysis of relational data. As information becomes readily available, a branch of mathematics with little practical applications suddenly became important to characterize “shapes” of datasets and infer properties: topology. Since its foundational article, Topological Data Analysis has been widely used in genetics, sports analysis, epidemiology, character recognition, among many other problems.

For information email to alejandro.feged@urosario.edu.co

Graph-omics: biological networks in the post-genomic era

Jesús Espinal Enríquez

In the post-genomic era, the vast amounts of data generated by -omic technologies require novel strategies to unravel the entangled mechanisms
governing biological systems. Network science has become a keystone of the modeling paradigm to understand and predict the complexity of these systems. In this satellite session, we are looking for contributions that use network models to explore biological systems using -omic data, in basic or applied settings. Topics may include, but are not limited to: network inference, dynamics in/of networks, multilayer/multiplex networks, topological comparisons, module detection, among others.

For information email to jespinal@inmegen.gob.mx

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Corruption networks: from data analysis to public policies

Jesús Espinal Enríquez

Corruption is one of the most important systemic problems in low- and-middle income countries. It occurs in social systems, which are paradigmatically complex, given the convergence of several variables and actors in time and space. Despite the fact that there are many instances to typify a corruption act, one of the most ubiquitous forms in which this problem is observed is when private companies or persons obtain economic benefits from the government. In this landscape, network science emerges as a potential source of novel methods to integrate several sources of information into a single or multi-layer graph and provide a robust framework to analyze and develop solutions to this complex problem.

For information email to jespinal@inmegen.gob.mx

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Cities & Networks: Challenges in Sustainable Urban Metabolism

Gerard Olivar & Rafael G. Hurtado

For information email to golivart@unal.edu.co

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