| Vol-1831 urn:nbn:de:0074-1831-0 Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# SoGood 2016
Data Science for Social Good

### Proceedings of the First Workshop on Data Science for Social Good
co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Dicovery in Databases (ECML-PKDD 2016)

### Riva del Garda, Italy, September 19, 2016.

Edited by

### Ricard Gavaldà *
Indrė Žliobaitė **
João Gama ***

* Universitat Politècnica de Catalunya, Department of Computer Science, Barcelona, Spain
** Aalto University and University of Helsinki
*** University of Porto and LIAAD Inesc Tec

## Table of Contents

- Preface

- OpenTED Browser: Insights into European Public Spendings
  Yann-Aël Le Borgne, Adriana Homolova, Gianluca Bontempi
- Automated Construction and Analysis of Political Networks via Open Government and Media Sources
  Diego Garcia-Olano, Marta Arias, Josep Lluís Larriba Pey
- A Multi-Scale Approach to Data-Driven Mass Migration Analysis
  Mohammed N. Ahmed, Gianni Barlacchi, Stefano Braghin, Francesco Calabrese, Michele Ferretti, Vincent Lonij, Rahul Nair, Rana Novack, Jurij Paraszczak, Andeep S. Toor
- Right to Information Query Modelling via Graded Response Model
  Nayantara Kotoky, Vijaya V Saradhi
- Unveiling Latent States Behind Social Indicators
  Emanuele Di Buccio, Andrea Lorenzet, Massimo Melucci, Federico Neresini
- Machine Learning Assists the Classification of Reports by Citizens on Disease-Carrying Mosquitoes
  Antonio Rodriguez, Frederic Bartumeus, Ricard Gavaldà
- Cycling Network Projects: A Decision-Making Aid Approach
  Fernando Martínez-Plumed, Cèsar Ferri, Lidia Contreras-Ochando
- When a Tweet Finds its Place: Fine-Grained Tweet Geolocalisation
  Pavlos Paraskevopoulos, Giovanni Pellegrini, Themis Palpanas

2017-04-28: submitted by Ricard Gavaldà, metadata incl. bibliographic data published under Creative Commons CC0
2017-05-01: published on CEUR-WS.org |valid HTML5|