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Session Overview
Paper Session 03: Reducing Inequities [SDGs 10, 11, 12, 16]
Sunday, 25/Oct/2020:
11:00am - 12:30pm

Session Chair: Heidi Julien, SUNY at Buffalo, United States of America

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11:00am - 11:15am
ID: 209 / PS-03: 1
Long Papers
Topics: Library and Information Science
Keywords: persona profiles, libraries, museums, information seeking, sustainable development, Latinx in the USA

Persona Profiles of Latinx Living in Boston: Applications for Information Organizations

Mónica Colón-Aguirre1, Janet Ceja Alcalá2

1East Carolina University, USA; 2Simmons University, USA

Based on data and initial findings of a larger phenomenological project focused on the experiences of Latinx living in the Boston area, the researchers create two persona profiles. Preliminary results of the analysis of 13 interviews with members of the Latinx community in Boston identified two distinct groups among the participants. These groups were defined by socioeconomic class, as identified by two main indicators: educational attainment and English language skills. Those belonging to the lower socioeconomic class had low educational attainment and limited English language skills compared to those in the middle socioeconomic class group which was made up of Latinx who had high educational attainment and were fully bilingual. The persona profiles created using the data provided by the interviews have potential applications for those working in information organizations, and help researchers and practitioners in information organizations design better services for urban Latinx communities which take into consideration complex issues which affect daily life. This approach aligns with the United Nations 2030 Agenda for Sustainable Development, which among many goals, intends to make cities and human settlements inclusive, safe, resilient and sustainable.

Keywords: persona profiles, libraries, museums, information seeking, sustainable development, Latinx in the USA

11:15am - 11:30am
ID: 225 / PS-03: 2
Long Papers
Topics: Information Theory
Keywords: taxonomy alignment, taxonomy, indigenous, knowledge organization

Reconciling Taxonomies of Electoral Constituencies and Recognized Tribes of Indigenous Taiwan

Jessica Yi-Yun Cheng, Bertram Ludaescher

University of Illinois at Urbana Champaign, USA

Over the years, information science professionals have been studying biases in Knowledge Organization Systems (KOS), e.g. bibliographic classifications. The robustness of classifications has been examined in diverse measures, ranging from the representation of race, gender, ethnic minorities, to indigenous peoples. In this study, we aim at (1) uncovering implicit assumptions about minorities in everyday taxonomies; (2) comparing and reconciling these different taxonomies. Specifically, we study the use case of Taiwanese Indigenous Peoples’ tribe classifications and the indigenous constituencies of the legislature electoral representation. We compare four finer-grained taxonomies for indigenous people with the coarse-grained indigenous peoples’ electoral constituencies that only recognize two regions (Lowland, Highland). The four taxonomies are: the recognized tribes in the past, the recognized tribes in the present, other possible tribes, and re-scaled groups based on population. We employ a logic-based taxonomy alignment approach using Region Connection Calculus (RCC-5) relations to align these taxonomies. Our results show different options when modeling and interpreting the use case of Indigenous Taiwan constituencies, and also demonstrate that multiple perspectives can be preserved and co-exist in our merged taxonomic representations.

11:30am - 11:45am
ID: 259 / PS-03: 3
Long Papers
Topics: Library and Information Science
Keywords: Innovation, collective information-seeking, experimentation, refugees, diversity

Supporting Refugees by Facilitating the Innovation of Nonprofit Resettlement Agencies: A Case Study

Darin S. Freeburg

University of South Carolina, USA

This study tested the implementation of the Information for Innovation model (IIM). The IIM posits that to implement innovations and adapt to external change, nonprofits must increase both the inward and outward flow of information. This increased flow comes through experimentation, information-seeking, and self-expression. Over one year, the researcher implemented the model with a refugee resettlement nonprofit in the Southeastern U.S. A case study design was used, following the approach of Community-Based Participatory Research (CBPR). The implementation of the IIM followed the structure of Communities of Practice (COP), and participants held several face-to-face meetings and engaged in virtual information-seeking. Results show that increases in information-seeking improved the nonprofit’s confidence in its ability to manage change. Improvements in self-expression enabled the nonprofit to benefit more fully from the diversity of existing staff. Yet, the IIM’s impact on implementation was limited by lack of resources. This study contributes to literature on the expansion of Library and Information Science (LIS) into communities by proposing an evidence-based approach to working with nonprofits. This study also contributes to literature on the role of LIS in refugee populations, suggesting that these institutions work more directly with the nonprofits whose expertise and funding most directly supports refugees.

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