Alex “sandy” Pentland
Biographic Data
| ID | 4274490 |
|---|---|
| NAME | Alex “sandy” Pentland |
| GIVEN NAMES | Alex “sandy” |
| FAMILY NAME | Pentland |
| SIGNATURE | PENTLAND A “S |
| AFFILIATIONS | MIT Media Lab Cambridge Massachusetts U.S.A. |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Art and the science of generative AI
Understanding shifts in creative work will help guide AI’s impact on the media ecosystem
Bayesian collective learning emerges from heuristic social learning
Researchers across cognitive science, economics, and evolutionary biology have studied the ubiquitous phenomenon of social learning-the use of information about other people's decisions to make your own. Decision-making with the benefit of the accumulated knowledge of a community can result in superior decisions compared to what people can achieve alone. However, groups of people face two coupled challenges in accumulating knowledge to make good …
Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge
In this article, the authors discuss and analyze their approach to the Fragile Families Challenge. The data consisted of more than 12,000 features (covariates) about the children and their parents, schools, and overall environments from birth to age 9. The authors' modular and collaborative approach parallelized prediction tasks and relied primarily on existing data science techniques, including (1) data preprocessing: elimination of low variance…
Sociometric badges
This article introduces sociometric badges as a research tool that captures with great accuracy fine‐scale speech patterns and body movements among a group of individuals at a scale that heretofore has been impossible in groups and teams studies. Such a tool offers great potential for studying the changing ecology of team structures and new modes of collaboration. Team boundaries are blurring as members disperse across multiple cultures, convene …
Sociometric badges
This article introduces sociometric badges as a research tool that captures with great accuracy fine‐scale speech patterns and body movements among a group of individuals at a scale that heretofore has been impossible in groups and teams studies. Such a tool offers great potential for studying the changing ecology of team structures and new modes of collaboration. Team boundaries are blurring as members disperse across multiple cultures, convene …
Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge
In this article, the authors discuss and analyze their approach to the Fragile Families Challenge. The data consisted of more than 12,000 features (covariates) about the children and their parents, schools, and overall environments from birth to age 9. The authors' modular and collaborative approach parallelized prediction tasks and relied primarily on existing data science techniques, including (1) data preprocessing: elimination of low variance…
Sociometric badges
This article introduces sociometric badges as a research tool that captures with great accuracy fine‐scale speech patterns and body movements among a group of individuals at a scale that heretofore has been impossible in groups and teams studies. Such a tool offers great potential for studying the changing ecology of team structures and new modes of collaboration. Team boundaries are blurring as members disperse across multiple cultures, convene …
Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge
In this article, the authors discuss and analyze their approach to the Fragile Families Challenge. The data consisted of more than 12,000 features (covariates) about the children and their parents, schools, and overall environments from birth to age 9. The authors' modular and collaborative approach parallelized prediction tasks and relied primarily on existing data science techniques, including (1) data preprocessing: elimination of low variance…
Bayesian collective learning emerges from heuristic social learning
Researchers across cognitive science, economics, and evolutionary biology have studied the ubiquitous phenomenon of social learning-the use of information about other people's decisions to make your own. Decision-making with the benefit of the accumulated knowledge of a community can result in superior decisions compared to what people can achieve alone. However, groups of people face two coupled challenges in accumulating knowledge to make good …
Art and the science of generative AI
Understanding shifts in creative work will help guide AI’s impact on the media ecosystem
Computer Science (3 works) · Artificial Intelligence (2 works) · Machine learning (2 works) · Mathematics (2 works) · Psychology (2 works) · Agriculture and Agroindustry Studies (1 work) · Artificial Intelligence (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Bounded rationality (1 work)