Digital Geography Lab presented the latest research at Mobile Tartu 2022

It was our honour and pleasure to attend the 8th Mobile Tartu conference organized by the Mobility Lab of the University of Tartu, Estonia. The event was once again scientifically fruitful and socially rewarding exactly the way how the founder of the conference, the late professor Rein Ahas had envisioned it!

The members of the Digital Geography Lab were well represented in organising PhD workshops, presenting latest research from various projects, chairing sessions and moderating a panel discussion.

 

Olle Järv and Oleksandr Karasov organized a PhD workshop on “Social media sources as a tool to monitor cross-border mobility”, and Christoph Fink and Tuuli Toivonen together with our former group member Age Poom organized a PhD workshop on “Data and tools for environmental exposure assessment during urban mobility”.

 

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Two new studies on revealing cross-border mobility and border regions

One of the goals of the BORDERSPACE project at the Digital Geography Lab is to examine whether and how social media data such as geo-located Twitter data can reveal cross-border mobility of people and provide new insights for understanding border regions. We demonstrate the feasibility of using Twitter data in two different recently published studies – the first study from the Greater Region of Luxembourg and the second study from the Nordic countries.

 

Study #1: Revealing mobilities of people to understand cross-border regions: insights from Luxembourg using social media data”

Published in European Planning Studies

Authors: Olle Järv, Håvard W. Aagesen, Tuomas Väisänen & Samuli Massinen

Conceptually, our approach was to make big data small and meaningful by: 1) using a bottom-up concept of activity space (e.g. Järv et al., 2014); 2) using mobility as a tool to capture individual activity spaces; and 3) contextualizing mobility from the border perspective.

Figure 1. The conceptual framework of data collection and data enrichment using the activity space approach to reveal cross-border mobilities and its motives from an individual perspective.

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WE ARE RECRUITING! Looking for a postdoctoral researcher in big data analytics in the area of human mobility and social interactions

Are you interested in studying human mobility and social interactions that take place in the cross-border context, and doing advanced spatial and content analysis using millions of social media posts? If so, consider applying for a postdoc position at the Digital Geography Lab (DGL) to work with Academy Research Fellow Olle Järv from November 2021 (or sooner/later as agreed)!

We are looking for an enthusiastic, innovative, and open-minded team player with strong technical knowledge and skills to join our interdisciplinary DGL research group and work in the Academy of Finland-funded project BORDERSPACE – Tracing Interactions and Mobilities Beyond State Borders: Towards New Transnational Spaces. Continue reading “WE ARE RECRUITING! Looking for a postdoctoral researcher in big data analytics in the area of human mobility and social interactions”

Warm reflections from the course GEOG-326 on accessibility and human mobility research

Time flies – the course “GEOG-326 Quantitative methods for sustainable land use planning I: Accessibility & mobility analyses“, given by the researchers of the Digital Geography Lab, ended already before Christmas 2020. Yet it’s worthwhile to reflect on it!

It is heart-warming to go through the positive feedback from students regarding the course structure and balance between theory and practice, and constructive suggestions for improving the course.

The course aimed at linking the accessibility and mobility of people to sustainability, well-being and social (in)equality perspectives, exploring the potential of big data analysis approach, and studying the ways of implementing these in planning. We also focused on the impact of global crises on human mobility on the example of COVID-19.

Overall, all 35 students did a great job and received high grades, but most importantly, it was rewarding to see students getting motivated and inspired, and developing their skills and ideas during the course.

The final output of the course was an independent group work that was presented in the form of an academic poster. Me, Elias and Tuuli found the final poster presentation session excellent! Thus, we are delighted to share the posters here 🙂

Check out and get inspired!

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Etsimme tutkijatohtoria tai tohtorikoulutettavaa!

Briefly in English: We are sharing an announcement for a post-doc/PhD student position at Digital Geography Lab and Ruralia Institute. The position benefits from the knowledge of Finnish language and hence is published in Finnish only.

Ja sitten suomeksi:

Kiinnostaako monipaikkaisuus, aluekehitys ja ihmisten liikkuvuus? Haluaisitko tietää, miten erilaisten digitaalisten aineistojen avulla voi monipaikkaisuutta tarkastella tai miten COVID-19 pandemia on vaikuttanut kakkosasuntojen käyttöä Suomessa?

Ruralia-instituutti ja Digital Geography Lab yhteiistyössä hakee tutkijatohtoria/tohtorikoulutettavaa hankkeeseen ”Monipaikkaisen asumisen rytmit”.

Tehtävät käsittävät digitaalisten massa-aineistojen (mm. rakennusten sähkönkäytön, matkapuhelinverkon ja Twitter aineistoja) hallinnointia, prosessointia ja analysointia. Hakijalta edellytetään riittäviä geoinformatiikan taitoja analyysien tekoon, massa-aineistojen käsittelyyn vaativaa osaamista (Python, R, PostgreSQL) ja tilastollista osaamista. Suurteholaskennan kokemus katsotaan eduksi.

Tarkemmat hakuohjeet löytyvät täältä.

Hakuaika päättyy 22.3.2021, ole nopea!

Lisätietoja saa: akatemiatutkija Olle Järv olle.jarv(at)helsinki.fi ja professori Tuuli Toivonen, tuuli.toivonen(at)helsinki.fi

WE ARE RECRUITING! Doctoral student with an interest in Big Data analytics, human mobility & social interaction

Are you interested in geoinformatics, big data and social media analytics? Are you curious about the phenomena of human mobility, cross-border mobilities and social interactions of people and transnational people? If yes, check this open four-year doctoral student position at the Digital Geography Lab starting from March 2021 or as agreed with the selected applicant!

We are looking for an enthusiastic, innovative, and highly motivated doctoral student with strong technical knowledge and skills to join our interdisciplinary research group Digital Geography Lab and work in the Academy of Finland-funded project BORDERSPACE – Tracing Interactions and Mobilities Beyond State Borders: Towards New Transnational Spaces.

The doctoral project has three objectives. First, to develop methodologies for quantifying human mobility and activity spaces across country borders based on social media data (Twitter). Second, to develop quantitative methodologies for uncovering activity practices of social media users and their feeling of belonging based on the content of their social media posts. Third, to conduct critical research on dynamic cross-border mobility flows derived from big data, integration of transnational people through their cross-border mobilities and social interactions, and how these are influenced by external factors such as the COVID-19 pandemic.

The successful applicant is expected to have strong fluency in programming (Python or R), experience in advanced spatial analytics and/or social media content analysis, and has worked with big data sources such as mobile phone, smart card and social media data. Prior experience in publishing research in academic journals, participating in research community and having a network of international scholars is an asset.

Read more about the position announcement and apply HERE. The deadline is January 31st 2021.

For further information, please contact Academy Research Fellow Olle Järv, olle.jarv(at)helsinki.fi.

Reflections on the 8th Nordic-Baltic Migration Conference

The second panel ”New Challenges in Cross-Border Mobility, Nordic-Baltic Region” in the Nordic-Baltic Migration Conference in Tallinn, Estonia

Olle Järv from the Digital Geography Lab attended as an expert panellist in the Nordic-Baltic Migration Conference “Cross-border Mobility in the Nordic-Baltic Region organized by the Nordic Council of Ministers’ Office in Tallinn, Estonia on September 18, 2020. Olle participated in the second panel ”New Challenges in Cross-Border Mobility, Nordic-Baltic Region” together with Uffe Palludan (Palludan Fremtidsforskning), Jonas Wendel (Nordic Council of Ministers’), Rolle Alho (Uni Helsinki), and Saara Pellander as a moderator (Migration Institute of Finland). In the panel, Olle briefly introduced his BORDERSPACE research project on cross-border mobility and transnational people, and how these research topics benefit from novel data sources such as social media and mobile phone data.

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Can we use Twitter data to estimate population distribution in Finland?

One of the main data processing steps before making use of novel data sources (e.g. Twitter data) for better understanding social processes and phenomena is the detection of users’ origins – be it at country, municipality or neighborhood level. This allows us to know whose Tweets in some geographical area (say, in a certain city or a neighborhood) we investigate. The most basic way is to distinguish locals from non-locals when examining mobility and activity locations of people. A more advanced analysis would require knowledge about origin countries in tourism studies and origin neighborhoods in segregation studies, for example.

This data processing step is also a prerequisite for cross-border mobility research – we need to know origins of people in order to categorize and analyze movements across country borders extracted from geotagged Tweets. Hence, it is the priority for our cross-border project. See, for example, the recent recent cross-border mobility analysis in the case of the Greater Region of Luxembourg from the MSc thesis by Samuli Massinen.

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Geotagged Twitter Data to Reveal Cross-Border Mobility of People

Overview of Samuli Massinen’s MSc thesis:

How can Big Data sources, such as georeferenced social media, be used in cross-border research? What kind of cross-border mobility patterns can be detected geographically over time? How can daily cross-border movements be separated from other movements? These were the main questions I was trying to find answers for in my Master’s thesis “Modeling Cross-Border Mobility Using Geotagged Twitter in the Greater Region of Luxembourg”.

The Greater Region of Luxembourg is the largest cross-border labor market in the European Union with the greatest number of cross-border workers in the area. European integration, the Schengen Area, and socio-economical divergences between neighboring countries have been the main factors facilitating human cross-border movements in the region and thus the emergence and expansion of the borderland community. Despite the freedom of movement, country borders still exist as well as their socio-economic differences. We witness the growing trend of people migrating to the other side of the country border while still working in Luxembourg. This actuates daily cross-border mobilities, which are not well known, to date. Thus, there is a distinct need to understand cross-border mobility dynamics in the region, especially border crossings on a daily basis.

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