Claire Maiers
Biographic Data
| ID | 3567988 |
|---|---|
| NAME | Claire Maiers |
| GIVEN NAMES | Claire |
| FAMILY NAME | Maiers |
| SIGNATURE | MAIERS C |
| AFFILIATIONS | WillowTree, Inc |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
Reading the Tea Leaves
Those who work in research know that we live in a world that is strongly influenced by what Tricia Wang has called the quantification bias. More so than other forms of information, numbers have incredible formative power. In our culture, numbers are seen as trustworthy representations of reality that are strongly associated with objectivity and untainted by human bias and shortcomings. Recently, data science, big data, algorithms, and machine lea…
Analytics in action
As the data phenomenon has grown, researchers have increasingly recognized the need to investigate algorithmic and data-driven technology, practices, and culture. While a number of studies have investigated the process of designing algorithms or examined the contours and consequences of algorithms themselves, more research is needed that details the ways in which users of data-driven technology make sense of algorithmic output and the conditions …
The Relationship of Morals and Markets Today
This article surveys recent trends in scholarship on capitalism within the fields of history, cultural sociology, and religious studies, highlighting the ways that scholars working in each of these disciplines have shifted their methodological and substantive approaches so as to foreground the cultural and moral, rather than technical, aspects of economic life. In light of our current moment of cultural reflection upon the character and future of…
Reading the Tea Leaves
Those who work in research know that we live in a world that is strongly influenced by what Tricia Wang has called the quantification bias. More so than other forms of information, numbers have incredible formative power. In our culture, numbers are seen as trustworthy representations of reality that are strongly associated with objectivity and untainted by human bias and shortcomings. Recently, data science, big data, algorithms, and machine lea…
The Relationship of Morals and Markets Today
This article surveys recent trends in scholarship on capitalism within the fields of history, cultural sociology, and religious studies, highlighting the ways that scholars working in each of these disciplines have shifted their methodological and substantive approaches so as to foreground the cultural and moral, rather than technical, aspects of economic life. In light of our current moment of cultural reflection upon the character and future of…
The Relationship of Morals and Markets Today
This article surveys recent trends in scholarship on capitalism within the fields of history, cultural sociology, and religious studies, highlighting the ways that scholars working in each of these disciplines have shifted their methodological and substantive approaches so as to foreground the cultural and moral, rather than technical, aspects of economic life. In light of our current moment of cultural reflection upon the character and future of…
Analytics in action
As the data phenomenon has grown, researchers have increasingly recognized the need to investigate algorithmic and data-driven technology, practices, and culture. While a number of studies have investigated the process of designing algorithms or examined the contours and consequences of algorithms themselves, more research is needed that details the ways in which users of data-driven technology make sense of algorithmic output and the conditions …
Reading the Tea Leaves
Those who work in research know that we live in a world that is strongly influenced by what Tricia Wang has called the quantification bias. More so than other forms of information, numbers have incredible formative power. In our culture, numbers are seen as trustworthy representations of reality that are strongly associated with objectivity and untainted by human bias and shortcomings. Recently, data science, big data, algorithms, and machine lea…
Computer Science (2 works) · Data science (2 works) · Sociology (2 works) · Analytics (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Big data (1 work) · Capitalism (1 work) · Communication (1 work) · Computational and Text Analysis Methods (1 work) · Context (archaeology (1 work)