"Poverty maps" are designed to simultaneously display the spatial distribution of welfare and different dimensions of poverty determinants. The plotting of such information on maps heavily relies on data that is collected through infrequent national household surveys and censuses. However, due to the high cost associated with this type of data collection process, poverty maps are often inaccurate in capturing the current deprivation status.
This project aims to build a map-based platform that presents historical documents of the nation-wide, urban renewal project in 1960's and 70's and to provide easy-to-use interfaces that can be used by former residents, archivists, researchers, and citizens. Ultimately, this platform aims to reconstruct a virtual neighborhood where people can share their memories by creating social networks of former residents.
Over the past four years, teams of archivists have digitized portions of National Archives RG195: General Records of the Home Owners’ Loan Corporation [HOLC]. The records include surveys, memorandums, and maps of American neighborhoods in the 1930’s. Now that the records are available digitally, students and faculty members are working to curate the collection and “data-fy” the information contained within.
Social media has provided a huge amount of user-generated data in capturing urban dynamics. Among them, place-level human behavior has been largely detected through people’s check-in records at certain places. Conventionally, places are characterized by a set of pre-defined features, often specified by the owner of the places. In this paper, we argue that capturing socially-meaningful features and dynamics of an urban place may also be done by analyzing human activity traces.
The Center for Open Data Enterprise is a non-profit organization that aims to maximize the value of open data as a public resource that anyone can use. As a means to promote the impact and value of using open data, the center designed and developed the Open Data Impact map. As a Data Science & Technology Fellow at the Center for Open Data Enterprise, I have worked on the Open Data Impact Map, which is a searchable, centralized database of open data use cases from around the world. The map shows the distribution of organizations in the world that make use of open data.
This paper describes innovative partnerships: university - federal agency (between the University of Maryland and the Office of Innovation at the National Archives and Records Administration - NARA) and university - industry (between the College of Information Studies or “iSchool” at the University of Maryland and Archive Analytics Solutions Ltd.) where we are developing automated scalable workflows that involve digitization, OCR, information extraction, and linking into interactive maps and graph databases, and where digital preservation and archiving are performed using an innovative NoSQ
Information accessibility problems include diverse types of human- and system-driven barriers that make it difficult for individuals to access desired information. These issues have been studied in two main streams: (1) a human-centered view based on the understanding of individual-level characteristics such as physical impairment and economic status, and (2) a technology-focused view that emphasizes system-based factors such as the information filtering techniques and interface designs.
This paper presents the findings from a project about how international students seek and acquire information during their settlement in an unknown geo-spatial environment. Through semi-structured interviews, questionnaires, and cognitive mapping with twenty international students, this study examines their information needs, information sources, and settlement experiences in the host country.
This research project had been conducted for my master's thesis (Master of Information Management degree). I conceptualized cultual background with Hall's high- and low-context culture (1976) and tried to see whether people's perceptions of urban places vary between physical addresses and symbolic representations of spaces (landmarks), when their cultural backgrounds were different. A survey questionnaire was used to measure cultural background, and a web-based online game was used to measure people's perceptions of places.
Geo-local systems can significantly increase users' familiarity with new places. However, for these systems to be useful, geospatial information needs to be presented in ways that those systems can minimize users' difficulties of learning about a new place. This raises a fundamental question about what kinds and representations of geospatial information are effective in making a place more familiar, so that people can adjust to the place more easily even before visiting the unfamiliar world.