Kenth Engø-Monsen
Biographic Data
| ID | 239578 |
|---|---|
| NAME | Kenth Engø-Monsen |
| GIVEN NAMES | Kenth |
| FAMILY NAME | Engø-Monsen |
| SIGNATURE | ENGØ-MONSEN K |
| AFFILIATIONS | Telenor (Norway) |
| ORCID | 0000-0003-1618-7597 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 24 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Digital exhaust and mobile communication scholarship: Pursuing the Ling connection
Rich Ling was among the first media scholars to recognize the vast scientific potential of behavioral data stemming from mobile and Internet use. His engagement with such data, that is, digital exhaust, extends back to the early 2000s, when he was a researcher with an international mobile network provider. Open-minded and with a strong curiosity drive, Ling joined forces with the company’s data scientists. This started an interdisciplinary dialog…
Mobility and phone call behavior explain patterns in poverty at high-resolution across multiple settings
Call detail records (CDRs) from mobile phone metadata are a promising data source for mapping poverty indicators in low- and middle-income countries. These data provide information on social networks, call behavior, and mobility patterns in a population, which are correlated with measures of socioeconomic status. CDRs are passively collected and provide information with high spatial and temporal resolution. Identifying features from these data th…
Safety, sensemaking, and solidarity
On July 22, 2011, at 15:26, a radical right-wing Islamophobe, Anders Behring Breivik, detonated a bomb in the city center of Oslo, Norway, and then killed 69 people and wounded 60 others before the police were able to arrest him on the island of Utøya. This chapter analyzes anonymized mobile phone traffic data in Oslo and around Norway to understand Norwegian mobile phone communication behaviors and see if and how people activated their social ne…
Mapping poverty using mobile phone and satellite data
Poverty is one of the most important determinants of adverse health outcomes globally, a major cause of societal instability and one of the largest causes of lost human potential. Traditional approaches to measuring and targeting poverty rely heavily on census data, which in most low- and middle-income countries (LMICs) are unavailable or out-of-date. Alternate measures are needed to complement and update estimates between censuses. This study de…
Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh
Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in the collection of highly spatially and temporally resolved human mobility data. In this study we use two datasets of individual mobility trajectories from six million de-identified mobile phone users in Bangladesh over three months and two years respectively. Us…
Considering clustering measures: Third ties, means, and triplets
Small and Even Smaller Circles: The Size of Mobile Phone-Based Core Social Networks in Scandinavia and South Asia
Previous research in developed countries has shown that mobile phone users call and text to a relatively small circle of people. Research from the Global South indicates that core network size is often larger than in the developed world since the logistics of daily life require extended informal logistics. This suggests that the core social network, as seen in the use of mobile voice and texting, will be larger in developing countries than in dev…
Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh
Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in the collection of highly spatially and temporally resolved human mobility data. In this study we use two datasets of individual mobility trajectories from six million de-identified mobile phone users in Bangladesh over three months and two years respectively. Us…
Small and Even Smaller Circles: The Size of Mobile Phone-Based Core Social Networks in Scandinavia and South Asia
Previous research in developed countries has shown that mobile phone users call and text to a relatively small circle of people. Research from the Global South indicates that core network size is often larger than in the developed world since the logistics of daily life require extended informal logistics. This suggests that the core social network, as seen in the use of mobile voice and texting, will be larger in developing countries than in dev…
Considering clustering measures: Third ties, means, and triplets
Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh
Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in the collection of highly spatially and temporally resolved human mobility data. In this study we use two datasets of individual mobility trajectories from six million de-identified mobile phone users in Bangladesh over three months and two years respectively. Us…
Mapping poverty using mobile phone and satellite data
Poverty is one of the most important determinants of adverse health outcomes globally, a major cause of societal instability and one of the largest causes of lost human potential. Traditional approaches to measuring and targeting poverty rely heavily on census data, which in most low- and middle-income countries (LMICs) are unavailable or out-of-date. Alternate measures are needed to complement and update estimates between censuses. This study de…
Safety, sensemaking, and solidarity
On July 22, 2011, at 15:26, a radical right-wing Islamophobe, Anders Behring Breivik, detonated a bomb in the city center of Oslo, Norway, and then killed 69 people and wounded 60 others before the police were able to arrest him on the island of Utøya. This chapter analyzes anonymized mobile phone traffic data in Oslo and around Norway to understand Norwegian mobile phone communication behaviors and see if and how people activated their social ne…
Mobility and phone call behavior explain patterns in poverty at high-resolution across multiple settings
Call detail records (CDRs) from mobile phone metadata are a promising data source for mapping poverty indicators in low- and middle-income countries. These data provide information on social networks, call behavior, and mobility patterns in a population, which are correlated with measures of socioeconomic status. CDRs are passively collected and provide information with high spatial and temporal resolution. Identifying features from these data th…
Digital exhaust and mobile communication scholarship: Pursuing the Ling connection
Rich Ling was among the first media scholars to recognize the vast scientific potential of behavioral data stemming from mobile and Internet use. His engagement with such data, that is, digital exhaust, extends back to the early 2000s, when he was a researcher with an international mobile network provider. Open-minded and with a strong curiosity drive, Ling joined forces with the company’s data scientists. This started an interdisciplinary dialog…
Computer Science (6 works) · Geography (4 works) · Mobile phone (4 works) · Telecommunications (4 works) · Data science (3 works) · Human Mobility and Location-Based Analysis (3 works) · Psychology (3 works) · Econometrics (2 works) · Economic growth (2 works) · Economics (2 works)