Lisa Singh
Biographic Data
| ID | 3925764 |
|---|---|
| NAME | Lisa Singh |
| GIVEN NAMES | Lisa |
| FAMILY NAME | Singh |
| SIGNATURE | SINGH L |
| AFFILIATIONS | Georgetown University |
| ORCID | 0000-0002-8300-2970 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1980 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Forecasting Ukrainian Refugee Flows With Organic Data Sources
Although European countries seek to understand the volume and destinations of forced migrant flows out of Ukraine, it is difficult to collect timely data for many reasons including dangerous conditions for on-the-ground survey data collection. This article combines different organic data to predict forced migration from Ukraine to five neighboring countries receiving refugees: Poland, Romania, Slovakia, Moldova, and Hungary. We pair online Ukrain…
Using Organic Data in Migration Research
This paper introduces a special issue of International Migration Review and overviews the promise and limitations of organic data for migration research. We explain different approaches to collecting and analyzing timely open-source organic data, and how it can be integrated with traditional administrative and survey data. After identifying the promise and limitations of specific organic data sources, we offer two empirical examples that illustra…
Delteil’s Les Écœurés: Gilets Jaunes and the Limits of the Noir
This article is an interdisciplinary study of Gérard Delteil’s Les Écœurés, a 2019 novel that was marketed as a “le premier polar en Gilet Jaune.” In this essay, we explore the generic tensions that arise when murder mystery intersects with socioeconomic criticism in our age of advanced capitalism. We argue that Les Écœurés functions differently when read through a sociological prism than it does as a noir or polar. We demonstrate that analysis o…
Environmental change and human mobility: Opportunities and challenges of big data
This paper explores the use of big data in understanding population movements in the context of environmental change, with particular attention to publicly available information from social media and newspapers. After discussing causal factors, the paper discusses the benefits and challenges of using big data, and mathematical models that may help capture the complexity of human mobility in the context of environmental change. We conclude that bi…
Social Media Data for Firearms Research: Promise and Perils
Firearms research has been hindered by a persistent lack of high-quality, reliable, and timely data. Using social media data in firearms research is, therefore, appealing: these data are large in scale, continuously provided, passively obtained, inexpensive in some cases, and easily combined with data from traditional sources. We consider how social media data have been used in firearms research to date and how they can be best used moving forwar…
A Big-Data Approach to Contemporary French Politics
Mixing the methods of machine learning and those of French cultural studies, this article explores recent trends in French politics. We analyze a large data set from Twitter (over a hundred and fifty million tweets) in order to reveal notable currents in discourse around the Gilets Jaunes and the French presidency (with particular focus on Emmanuel Macron and Marine Le Pen). This article delineates our methods and places this data analysis in a b…
Culture, Diffusion, and Networks in Social Animals
Long‐term studies of social animals provide detailed data on individual attributes, behaviors, and associations that enable us to explore cultural diffusion in networks. In this essay, we describe how network science can be used to improve our understanding of cultural and information transmission. After presenting an operational definition of culture, we discuss methodologies and research questions applicable to unweighted, weighted, and dynamic…
Modeling Social Preferences Based on Social Interactions
Understanding actor loyalty to event-based groups in affiliation networks
Spatio-demographic structure of Patna in its ecological setting
Raumlich-demographische Struktur Patnas in ihrem okologischen Zusammenhang Patna, eine indische Hauptstadt, ist wahrend mehrerer Jahrhunderte der Brennpunkt politischer, wirtschaftlicher, gesellschaftlicher und religioser Bewegungen gewesen und war als solche unterschiedlichen Wachstumsmustern unter worfen, die eine komplexe demographische Struktur erga ben. In dieser Abhandlung bemiihen sich die Autoren, diese Struktur im Lichte der theoretische…
Forecasting Ukrainian Refugee Flows With Organic Data Sources
Although European countries seek to understand the volume and destinations of forced migrant flows out of Ukraine, it is difficult to collect timely data for many reasons including dangerous conditions for on-the-ground survey data collection. This article combines different organic data to predict forced migration from Ukraine to five neighboring countries receiving refugees: Poland, Romania, Slovakia, Moldova, and Hungary. We pair online Ukrain…
Understanding actor loyalty to event-based groups in affiliation networks
Environmental change and human mobility: Opportunities and challenges of big data
This paper explores the use of big data in understanding population movements in the context of environmental change, with particular attention to publicly available information from social media and newspapers. After discussing causal factors, the paper discusses the benefits and challenges of using big data, and mathematical models that may help capture the complexity of human mobility in the context of environmental change. We conclude that bi…
Spatio-demographic structure of Patna in its ecological setting
Raumlich-demographische Struktur Patnas in ihrem okologischen Zusammenhang Patna, eine indische Hauptstadt, ist wahrend mehrerer Jahrhunderte der Brennpunkt politischer, wirtschaftlicher, gesellschaftlicher und religioser Bewegungen gewesen und war als solche unterschiedlichen Wachstumsmustern unter worfen, die eine komplexe demographische Struktur erga ben. In dieser Abhandlung bemiihen sich die Autoren, diese Struktur im Lichte der theoretische…
Understanding actor loyalty to event-based groups in affiliation networks
Modeling Social Preferences Based on Social Interactions
Culture, Diffusion, and Networks in Social Animals
Long‐term studies of social animals provide detailed data on individual attributes, behaviors, and associations that enable us to explore cultural diffusion in networks. In this essay, we describe how network science can be used to improve our understanding of cultural and information transmission. After presenting an operational definition of culture, we discuss methodologies and research questions applicable to unweighted, weighted, and dynamic…
A Big-Data Approach to Contemporary French Politics
Mixing the methods of machine learning and those of French cultural studies, this article explores recent trends in French politics. We analyze a large data set from Twitter (over a hundred and fifty million tweets) in order to reveal notable currents in discourse around the Gilets Jaunes and the French presidency (with particular focus on Emmanuel Macron and Marine Le Pen). This article delineates our methods and places this data analysis in a b…
Delteil’s Les Écœurés: Gilets Jaunes and the Limits of the Noir
This article is an interdisciplinary study of Gérard Delteil’s Les Écœurés, a 2019 novel that was marketed as a “le premier polar en Gilet Jaune.” In this essay, we explore the generic tensions that arise when murder mystery intersects with socioeconomic criticism in our age of advanced capitalism. We argue that Les Écœurés functions differently when read through a sociological prism than it does as a noir or polar. We demonstrate that analysis o…
Environmental change and human mobility: Opportunities and challenges of big data
This paper explores the use of big data in understanding population movements in the context of environmental change, with particular attention to publicly available information from social media and newspapers. After discussing causal factors, the paper discusses the benefits and challenges of using big data, and mathematical models that may help capture the complexity of human mobility in the context of environmental change. We conclude that bi…
Social Media Data for Firearms Research: Promise and Perils
Firearms research has been hindered by a persistent lack of high-quality, reliable, and timely data. Using social media data in firearms research is, therefore, appealing: these data are large in scale, continuously provided, passively obtained, inexpensive in some cases, and easily combined with data from traditional sources. We consider how social media data have been used in firearms research to date and how they can be best used moving forwar…
Forecasting Ukrainian Refugee Flows With Organic Data Sources
Although European countries seek to understand the volume and destinations of forced migrant flows out of Ukraine, it is difficult to collect timely data for many reasons including dangerous conditions for on-the-ground survey data collection. This article combines different organic data to predict forced migration from Ukraine to five neighboring countries receiving refugees: Poland, Romania, Slovakia, Moldova, and Hungary. We pair online Ukrain…
Using Organic Data in Migration Research
This paper introduces a special issue of International Migration Review and overviews the promise and limitations of organic data for migration research. We explain different approaches to collecting and analyzing timely open-source organic data, and how it can be integrated with traditional administrative and survey data. After identifying the promise and limitations of specific organic data sources, we offer two empirical examples that illustra…
Computer Science (6 works) · Data science (4 works) · Geography (4 works) · Sociology (4 works) · Business (3 works) · Political science (3 works) · Social media (3 works) · World Wide Web (3 works) · Art (2 works) · Climate Change, Adaptation, Migration (2 works)