Open-SOFOS2022: Open Data Science for Food Security Workshop of ECML/PKDD 2022 Online Event, France, September 19-23, 2022 |
Conference website | https://sites.google.com/view/open-sofos/ |
Submission link | https://easychair.org/conferences/?conf=opensofos2022 |
Submission deadline | June 20, 2022 |
Open-SOFOS: Open Data Science fOr FOod Security (online workshop @ECML/PKDD2022)
Website:
KEY DATES
Paper submission deadline: 20 June 2022
Paper acceptance notification: 13 July 2022
Workshop date: Monday, Septembre 19th, 2022 (to be confirmed)
CONTEXT
After many years of decline, the number and severity of food insecurity situations is growing again in recent years all over the world. The importance of this phenomenon is also testified by the fact that the United Nations list the fight against food insecurity as one of the 17 Sustainable Development Goals (SDG 2 - Zero Hunger) to be reached before 2030 in order to ”achieve a better and more sustainable future for all“. Multiple and interrelated reasons can be identified for this generalized rise in hunger situations. Just to name a few:
– per capita food availability has been reduced by an increasing number of extreme weather events and by an increasing population growth;
– population displacements due to conflicts often result in a drop in agricultural production and in disorders in the distribution channels;
– structural poverty of populations is aggravated by a difficult global economic context.
Looking at this context, it is easy to see how monitoring food security is a challenging problem that touches several scientific domains, and that needs to be addressed by the use of heterogeneous data from different sources. Nowadays, great quantities of open data are available, that are related at different levels with food security. Obtaining such data is relatively easy and inexpensive (i.e., open access data available on the web). Nevertheless, exploiting it to effectively address food security related problems requires the development of suitable advanced data science methods. Note that, besides data processing in itself, the need to collect, integrate and assess the quality of such heterogeneous multi-source data introduces several additional challenges in this context.
The aim of this workshop, to be held in conjunction with ECML PKDD 2022, is to get an insight in the current status of research in data science for food security, showing how exploiting heterogeneous open data in this context can make it possible to improve solutions to classic tasks (e.g., the ones addressed by the existing Food Security Systems), but also to focus on research questions and practical problems that have not been deeply investigated so far.We encourage contributions on data science techniques in different application domains, such as prediction of food security indicators, agricultural monitoring, economical analyses, and social aspects. Thus, our goal is to bring together researchers and practitioners from around the world interested in developing data science techniques for food security related problems, preferably using open access data. Even though the focus is on computer science, the themes of the workshop also encourage interdisciplinary discussion about topics touching different fields such social science, humanities and geography.
TOPICS
Topics of interest include, but are not limited to:
– Prediction of Food Security Indicators
– Poverty Prediction
– Agricultural Monitoring
– Prediction of Economical Indicators
– Social Media Analysis
– Evolutionary Systems
– Landscape Analysis
– Modeling of Spatial and Social Dynamics
– Mobility Problems
– Complex Network Models for Food Security
– Machine and Deep Learning methods for Food Security
– Text Mining Methods for Food Security
– Heterogeneous Data Integration Methods for Food Security
– KMS for Food Security
SUBMISSION
We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work.Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2022 submission format. Accepted contributions will be made available electronically through the CEUR Workshop Proceedings platform (http://ceur-ws.org).
SUBMISSION WEBSITE:
https://easychair.org/conferences/?conf=opensofos2022
PC-CHAIRS
Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato@cirad.fr
Mathieu Roche, CIRAD, UMR Tetis, Montpellier, France, mathieu.roche@cirad.fr
Giulia Martini, World Food Programme (WFP), Rome, Italy, giulia.martini@wfp.org
Sabrina Gaito, Computer Science Department, University of Milan, Milan, Italy, sabrina.gaito@unimi.it