May 23, 2024 | News | Workshop
Migration and Mobility Research in the Digital Era (MIMODE 2024)
© adobe.stock.com/Carlosgardel
The recent availability of massive amounts of digital data have profoundly revolutionized research on migration and mobility, enabling scientists to quantitatively study individual and collective mobility patterns at different granularities as generated by human activities in their daily life. Harnessing such digital data offers many new opportunities to study migration and mobility and fill in the gaps left by traditional data. At the same time, such innovative data sources also come with several limitations, biases, and challenges, which have led to diverging research methodologies and frameworks, requiring even greater effort in their operationalization and communication to stakeholders and policy makers.
The aim of this satellite session is to bring together researchers from different fields and practitioners from around the world to facilitate a conversation on the use of innovative digital data sources, new methodologies, empirical findings, and critical challenges of studying migration and mobility in the digital era.
Topics of interest include, but are not limited to:
- New data sources for mobility and migration research, challenges and opportunities
- Internal and international migration, short- and long-term mobility
- Modeling and predicting human mobility patterns
- Machine learning and AI methods for studying mobility
- Longitudinal analyses and empirical studies of mobility and migration
- Socio-economic and environmental drivers of migration
- Integration and segregation of migrant populations
- Measuring the impact of natural disasters, conflicts, climate change, and the COVID-19 pandemic on migration
- Access to mobility data, open science, and privacy concerns
- Evaluation and development of migration policy
Call for Abstracts
We welcome submissions of abstracts on ongoing or published work that fit the topics of the event. The submissions must be a single PDF-file of maximum 2 pages in English including the title, list of authors and affiliations, abstract text, descriptive figure or table, and references (optional). The abstracts can be in any format or style as long as they do not exceed the page and word limits. Alternatively, authors can use an abstract template (click here to view our optional formatting template).
Abstracts must be submitted electronically by June 17, 2024 at the following link: https://s.gwdg.de/YBZbpP
All submissions will be evaluated on the basis of quality and fit to the satellite theme.
Oral presentations will be allocated about 12 minutes, followed by 3 minutes of Q&A. Please note that the presenting author must register to the main conference as announced on CCS2024 website.
Important Dates
June 17, 2024 — Deadline for abstract submissions (midnight CEST)
July 1, 2024 — Notification of abstract acceptance for oral presentation
July 15, 2024 — Deadline for early bird registration
September 3, 2024 — MIMODE 2024 satellite
Registration & Venue
MIMODE 2024 is a satellite of the Conference on Complex Systems CCS2024, and will take place in Exeter, United Kingdom, on September 3, 2024.
Satellite participants (with or without abstract submission) will have to register following the procedure described in the CCS2024 conference website: https://ccs24.cssociety.org/registration/
The conference venue will be the University of Exeter.
To know more about the venue, please visit the conference website: https://ccs24.cssociety.org/venues/
Program
TBA
Invited speakers
© Leonardo Ferres
Leo Ferres
Leo Ferres is an Associate Professor of Computer and Data Science at the Universidad del Desarrollo (UDD) in Santiago, Chile, he has been with UDD since 2016. He is also a Fellow of Telefónica Research & Development in Santiago and a Research Fellow of the ISI Foundation in Turin, Italy, since 2019. His research has evolved from high-performance computing to computational social science, currently focusing on using mobile and telephony data for social good and data-driven policy. At UDD and Telefónica, he has been involved in numerous industry and government research and development projects investigating mobility, migration and urban complexity.
© private
Véronique Lefebvre
Dr Véronique Lefebvre is a researcher in data science and signal processing. As Flowminder’s Director of Data Analysis, Véronique is responsible for leading and overseeing the development of the organisation's analytical methods, and quality control of data outputs. The aims of the analysis team are to (1) estimate population mobility patterns from mobile phone usage data, with particular focus on monitoring and understanding human mobility in crisis, informing infectious disease control, and assessing the representativity of mobile operator data through surveys; (2) to develop fast algorithms to optimise the spatial allocation of public services such as schools and vaccination sites; and (3) geospatial modelling of indicators from geo-referenced survey data, in low- and middle-income countries.
Véronique trained as a biomedical engineer at ESIL (France), specialising in signal and image processing. She obtained her PhD in signal processing applied to neuroimaging from the University of Sheffield (UK) and worked as a post doctoral researcher in mathematical modelling in Neuroscience at University College London (UK), and in Theoretical Ecology at Imperial College (UK) before joining Flowminder.
Organizers
© Jisu Kim
Jisu Kim
Research Scientist, Department of Digital and Computational Demography, MPIDR
Jisu holds a PhD in Data Science from Scuola Normale Superiore in Italy. She has worked on exploring and establishing novel methods to improve relevant statistics of international migration using social media data. Her research focuses on the intersection of migration sciences, economics of migration, complex social networks, statistical models and data-driven algorithms.
© MPIDR
Daniela Perrotta
Research Scientist and Deputy Head of the Laboratory of Migration at Mobility, Department of Digital and Computational Demography, MPIDR
Daniela Perrotta completed her PhD in Complex Systems for Life Sciences at the University of Turin with a fellowship at the Laboratory of Digital and Computational Epidemiology at the ISI Foundation in Italy. Her research focuses on harnessing innovative data-collection schemes and computational methods for modeling human mobility and disease spread.
Contact the organizers at mimode@demogr.mpg.de