A5089177147- Geographic Information Systems Studies
- Housing Market and Economics
- Geographies of human-animal interactions
- Urban, Neighborhood, and Segregation Studies
- Housing, Finance, and Neoliberalism
- Media Influence and Health
- Biomedical Text Mining and Ontologies
- Migration, Refugees, and Integration
- Ethics and Social Impacts of AI
- Data Visualization and Analytics
- Public Spaces through Art
- Names, Identity, and Discrimination Research
- Homelessness and Social Issues
- Innovative Human-Technology Interaction
- Human Mobility and Location-Based Analysis
- Hate Speech and Cyberbullying Detection
- Memory, Trauma, and Commemoration
- Urban Planning and Governance
- Social Media and Politics
- Privacy, Security, and Data Protection
- Crime Patterns and Interventions
- Participatory Visual Research Methods
- Race, History, and American Society
Massachusetts Institute of Technology
2020-2024
World Wide Web Consortium
2022
Webb Institute
2019
Data ethics and fairness have emerged as important areas of research in recent years. However, much work this area focuses on retroactively auditing "mitigating bias" existing, potentially flawed systems, without interrogating the deeper structural inequalities underlying them. There are not yet examples how to apply feminist participatory methodologies from start, conceptualize design machine learning-based tools that center aim challenge power inequalities. Our targets more prospective...
Gender-related violence against women and its lethal outcome, feminicide, are a serious problem throughout the world. Official government data on gender feminicide often absent, incomplete, infrequently updated, contested. We draw feminism to situate as missing data. Building qualitative interviews, this study discusses informatic work of ten activist civil society organizations across six countries who combat by producing counterdata. Activists enact alternative epistemological approaches...
Fairness in Machine Learning (ML) has mostly focused on interrogating the fairness of a particular decision point with assumptions made that people represented data have been fairly treated throughout history. However, cannot be ultimately achieved if such are not valid. This is case for mortgage lending discrimination US, which should critically understood as result historically accumulated injustices were enacted through public policies and private practices including redlining, racial...
This research studies how tenant screening services' presentation of information influences landlord decisions. Tenant services utilize criminal records, eviction and credit score databases to produce reports that landlords use inform their decisions about who rent to. However, little is known assess the presented by reports. Through a behavioral experiment with using simulated reports, this study shows blanket policies, they conflate existence records outcomes (e.g., filings executed...
A biological understanding is key for managing medical conditions, yet psychological and social aspects matter too. The main problem that these two are hard to quantify inherently difficult communicate. To aspects, this work mined around half a million Reddit posts in the sub-communities specialised 14 it did so with new deep-learning framework. In doing, was able associate mentions of conditions those emotions. then designed probabilistic approach mines open prescription data from National...
Throughout history, maps have been used as a tool to explore cities. They visualize city's urban fabric through its streets, buildings, and points of interest. Besides purely navigation purposes, street names also reflect culture commemorative practices. Therefore, cultural that unveil socio-cultural characteristics encoded in could potentially raise citizens' historical awareness. But designing effective is challenging, not only due data scarcity but the lack approaches engage citizens with...
Systemic racism, an issue deeply entrenched in various sectors of American society, continues to cast a shadow over the nation's progress towards equality and justice. This paper showcases some generative artificial intelligence (AI) potential identify racial bias combat structural barriers that perpetuate discrimination United States. Specifically, three research groups affiliated with MIT's Initiative on Combatting Racism (ICSR) present case study applications utilize AI innovative...
iBuyers are firms that use automated valuation models (AVMs), streamline home buying processes, and provide all-cash offers to purchase homes. Although the previous literature has explored roles limitations of in housing market, empirical research on racial implications these algorithmic processes remains understudied. Using a spatial lag model, this study shows clustering iBuyer profit margins, gain more profits when they resell individuals than institutions, some have statistically...
The racial wealth gap in the United States remains a persistent issue; white individuals possess six times more than Black individuals. Leading scholars and public figures have pointed to slavery post-slavery discrimination as root cause factors called for reparations. Yet institutionalization of race-neutral ideologies policies practices hinders reparative approach closing gap. This study models use algorithmic methods service reparations Americans domain housing, where most American is...
February 01 2020 IEEE VIS 2016 and 2017 Arts Program Gallery Benedikt Groß, Groß Web: https://lab.moovel.com Search for other works by this author on: This Site Google Scholar Raphael Reimann, Reimann Philipp Schmitt, Schmitt Esteban Garcia Bravo, Bravo www.carlsongarcia.com Maxwell Carlson, Carlson Aaron Zernack, Zernack Jorge Garcia, Yoon Chung Han, Han www.yoonchunghan.com Shankar Tiwari, Tiwari Till Nagel, Nagel https://uclab.fh-potsdam.de/cf Christopher Pietsch, Pietsch Mark J. Stock,...
A biological understanding is key for managing medical conditions, yet psychological and social aspects matter too. The main problem that these two are hard to quantify inherently difficult communicate. To aspects, this work mined around half a million Reddit posts in the sub-communities specialised 14 it did so with new deep-learning framework. In doing, was able associate mentions of conditions those emotions. then designed probabilistic approach mines open prescription data from National...
Throughout history, maps have been used as a tool to explore cities. They visualize city's urban fabric through its streets, buildings, and points of interest. Besides purely navigation purposes, street names also reflect culture commemorative practices. Therefore, cultural that unveil socio-cultural characteristics encoded in could potentially raise citizens' historical awareness. But designing effective is challenging, not only due data scarcity but the lack approaches engage citizens with...