Library Research & Innovative Practice Forum

Permanent URI for this collectionhttp://hdl.handle.net/1903/16362

The Library Research & Innovative Practice Forum is an annual event in June featuring lightning talks, presentations, and poster sessions by UMD Libraries’ librarians and staff.

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Author: search.filters.author.Abhimanyu HansStart date: 2020

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    GIS and Data Services Workshop Analysis
    (2023-06-07) Mohak Verma; Abhimanyu Hans; Sakar Phuyal; Milan Budhathoki
    This study examines the demand for GIS and data science workshops at UMD Libraries by thoroughly analyzing the registration and feedback data collected from the previous two semesters. Following the introduction of user-centric data service in the summer of 2022, the GIS and Data Services center has been offering an array of workshops, such as qualitative data visualization with Tableau and NVivo, and the reintroduction of SAS. We employ this data to acquire a deeper understanding of the demographics of workshop participants and to assess the demand for each specific workshop. Consequently, we develop a dashboard that visualizes our findings, offering a comprehensive representation of user needs and preferences. The constructed dashboard displays participant demographics categorized by their highest level of education (undergraduate, graduate, or Ph.D.), the school they are affiliated with, and various other similar classifications. These results will contribute to the planning and enhancement of future workshops to better address the requirements of the UMD community. In summary, this study emphasizes the significance of employing data to guide the design and implementation of library services, particularly in the context of emerging data science and GIS technologies.
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    Exploring the Seasonal Dynamics of Crime in Chicago
    (2023-06-07) Abhimanyu Hans; Milan Budhathoki; Milan Budhathoki
    This study investigates the relationship between crime and temperature in Chicago, a metropolitan area known for its high crime rates and diverse crime categories. The spatial unit of our analysis is a census tract level. We use spatial and temporal data from the past 20 years and examine how temperature affects crime trends on a census tract level. In our analysis, we study the hypothesis that certain types of crime, such as theft and assault, tend to occur more frequently during the warmer months, while others occur more frequently during the colder months. We also study if temperature is a significant predictor of crime rates in Chicago, with the neighborhoods with higher temperatures generally leading to higher crime rates.