Catherine D''Ignazio
Biographic Data
| ID | 355922 |
|---|---|
| NAME | Catherine D''Ignazio |
| GIVEN NAMES | Catherine |
| FAMILY NAME | D''Ignazio |
| SIGNATURE | IGNAZIO C D |
| ORCID | 0000-0002-8673-1941 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 15 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Race-neutral vs race-conscious
The racial wealth gap in the United States remains a persistent issue; white individuals possess six times more wealth than Black individuals. Leading scholars and public figures have pointed to slavery and post-slavery discrimination as root cause factors and called for reparations. Yet the institutionalization of race-neutral ideologies in policies and practices hinders a reparative approach to closing the racial wealth gap. This study models t…
Data artivism and feminicide
Data has become a key format for activists to visibilizar (make visible/call attention to) and denounce social issues. Drawing on the concept of "artivism," we name as data artivism those works that visually intervene in the contestation around an issue by mobilizing art and craft as a form of resistance and as a method to visualize data. In this commentary, we share three examples of data artivism on the issue of feminicide. Our aim is to inspir…
Seeing like a driver
This article theorizes the relationship between two ways of "seeing" and organizing urban mobility markets: the abstract, algorithmic vision of the mobility platform and the experiential, relational vision of the platform driver. Using the case of mobility platforms in Jakarta, we empirically demonstrate how drivers experience the limitations of the platform's visions and how they deploy their own alternative visions of work and the city. We offe…
Seven intersectional feminist principles for equitable and actionable Covid-19 data
This essay offers seven intersectional feminist principles for equitable and actionable COVID-19 data, drawing from the authors' prior work on data feminism. Our book, Data Feminism (D'Ignazio and Klein, 2020), offers seven principles which suggest possible points of entry for challenging and changing power imbalances in data science. In this essay, we offer seven sets of examples, one inspired by each of our principles, for both identifying exis…
Seeing like a driver
This article theorizes the relationship between two ways of "seeing" and organizing urban mobility markets: the abstract, algorithmic vision of the mobility platform and the experiential, relational vision of the platform driver. Using the case of mobility platforms in Jakarta, we empirically demonstrate how drivers experience the limitations of the platform's visions and how they deploy their own alternative visions of work and the city. We offe…
Seven intersectional feminist principles for equitable and actionable Covid-19 data
This essay offers seven intersectional feminist principles for equitable and actionable COVID-19 data, drawing from the authors' prior work on data feminism. Our book, Data Feminism (D'Ignazio and Klein, 2020), offers seven principles which suggest possible points of entry for challenging and changing power imbalances in data science. In this essay, we offer seven sets of examples, one inspired by each of our principles, for both identifying exis…
Data artivism and feminicide
Data has become a key format for activists to visibilizar (make visible/call attention to) and denounce social issues. Drawing on the concept of "artivism," we name as data artivism those works that visually intervene in the contestation around an issue by mobilizing art and craft as a form of resistance and as a method to visualize data. In this commentary, we share three examples of data artivism on the issue of feminicide. Our aim is to inspir…
Seven intersectional feminist principles for equitable and actionable Covid-19 data
This essay offers seven intersectional feminist principles for equitable and actionable COVID-19 data, drawing from the authors' prior work on data feminism. Our book, Data Feminism (D'Ignazio and Klein, 2020), offers seven principles which suggest possible points of entry for challenging and changing power imbalances in data science. In this essay, we offer seven sets of examples, one inspired by each of our principles, for both identifying exis…
Seeing like a driver
This article theorizes the relationship between two ways of "seeing" and organizing urban mobility markets: the abstract, algorithmic vision of the mobility platform and the experiential, relational vision of the platform driver. Using the case of mobility platforms in Jakarta, we empirically demonstrate how drivers experience the limitations of the platform's visions and how they deploy their own alternative visions of work and the city. We offe…
Race-neutral vs race-conscious
The racial wealth gap in the United States remains a persistent issue; white individuals possess six times more wealth than Black individuals. Leading scholars and public figures have pointed to slavery and post-slavery discrimination as root cause factors and called for reparations. Yet the institutionalization of race-neutral ideologies in policies and practices hinders a reparative approach to closing the racial wealth gap. This study models t…
Data artivism and feminicide
Data has become a key format for activists to visibilizar (make visible/call attention to) and denounce social issues. Drawing on the concept of "artivism," we name as data artivism those works that visually intervene in the contestation around an issue by mobilizing art and craft as a form of resistance and as a method to visualize data. In this commentary, we share three examples of data artivism on the issue of feminicide. Our aim is to inspir…
Sociology (4 works) · Computer Science (3 works) · Data science (2 works) · Gender Studies (2 works) · Law (2 works) · Political science (2 works) · 2019-20 coronavirus outbreak (1 works) · Aesthetics (1 works) · Art (1 works) · Computer security (1 works)