Morgan R Frank
Biographic Data
| ID | 1753764 |
|---|---|
| NAME | Morgan R Frank |
| GIVEN NAMES | Morgan R |
| FAMILY NAME | Frank |
| SIGNATURE | FRANK M R |
| AFFILIATIONS | Massachusetts Institute of Technology |
| ORCID | 0000-0001-9487-9359 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Stakeholder Satisfaction Interdependencies in 10-K Reports
Behaviour-based dependency networks between places shape urban economic resilience
Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing…
Art and the science of generative AI
Understanding shifts in creative work will help guide AI’s impact on the media ecosystem
Developing China’s workforce skill taxonomy reveals extent of labor market polarization
China, the world’s second largest economy, is transitioning into an advanced, knowledge-based economy after four decades of rapid economic development. However, China still lacks a detailed understanding of the skills that underly the Chinese labor force, and the development and spatial distribution of these skills. Similar data has proven essential in other contexts; for example, the US standardized skill taxonomy, Occupational Information Netwo…
Toward understanding the impact of artificial intelligence on labor
Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a r…
Human language reveals a universal positivity bias
Significance The most commonly used words of 24 corpora across 10 diverse human languages exhibit a clear positive bias, a big data confirmation of the Pollyanna hypothesis. The study’s findings are based on 5 million individual human scores and pave the way for the development of powerful language-based tools for measuring emotion.
The Geography of Happiness
We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a massive, geo-tagged data set comprising over 80 million words generated in 2011 on the social network service Twitter and (2) annually-surveyed characteristics of all 50 states and close to 400 urban populations…
Behaviour-based dependency networks between places shape urban economic resilience
Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing…
The Geography of Happiness
We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a massive, geo-tagged data set comprising over 80 million words generated in 2011 on the social network service Twitter and (2) annually-surveyed characteristics of all 50 states and close to 400 urban populations…
Human language reveals a universal positivity bias
Significance The most commonly used words of 24 corpora across 10 diverse human languages exhibit a clear positive bias, a big data confirmation of the Pollyanna hypothesis. The study’s findings are based on 5 million individual human scores and pave the way for the development of powerful language-based tools for measuring emotion.
Toward understanding the impact of artificial intelligence on labor
Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a r…
Developing China’s workforce skill taxonomy reveals extent of labor market polarization
China, the world’s second largest economy, is transitioning into an advanced, knowledge-based economy after four decades of rapid economic development. However, China still lacks a detailed understanding of the skills that underly the Chinese labor force, and the development and spatial distribution of these skills. Similar data has proven essential in other contexts; for example, the US standardized skill taxonomy, Occupational Information Netwo…
Art and the science of generative AI
Understanding shifts in creative work will help guide AI’s impact on the media ecosystem
Behaviour-based dependency networks between places shape urban economic resilience
Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing…
Stakeholder Satisfaction Interdependencies in 10-K Reports
Computer Science (5 works) · Psychology (4 works) · Business (3 works) · Economics (3 works) · Regional Economics and Spatial Analysis (3 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Demography (2 works) · Economic growth (2 works) · Human Mobility and Location-Based Analysis (2 works)