NNLM Sessions at JCLC

Posted by liaison on September 28th, 2022 Posted in: #CC/Academic List, #Health Interest List, #Health Sciences List, #Public/K-12 List, All Members

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Check out these JCLC presentations featuring staff from across NNLM. All times listed below are Mountain Standard Time. Be sure to check the official conference schedule for full descriptions and any updates.

 

Braving Our Blind Spots: Using a Virtual Book Discussion Group to Continue Conversations on Implicit Bias in Libraries

Friday, October 7th – 8:30 – 9:45AM, Tarpon Key Room

Presenters will discuss the MLA Reads virtual book discussion group, created to inspire discussions on implicit bias. Since 2018, the program has provided information professionals with virtual safe spaces to learn, discuss, and process the implications of biases on their work and personal lives. Presenters will share insights gained from planning and facilitating multiple sessions to help readers confront difficult issues such as sexism, racism, inequality, and injustice. We will share lessons learned, challenges faced, and suggestions on implementing similar programs at other institutions.

 

Health Literacy in our Communities: A Conversation with the Network of the National Library of Medicine and its partnership with the All of Us Research Program

Friday, October 7th – 8:30 – 9:45AM, Sabal Room

What are some programs, resources, and services that support health literacy in underrepresented communities? Bring your ideas and questions to this roundtable discussion where we will focus on health activities in libraries. We invite information professionals from different types of libraries to share knowledge and best practices around health engagement with the public, specifically focused on populations underrepresented in biomedical research. This discussion will also be an opportunity to learn about resources and tools to support health and research literacy in our communities

 

Diversifying Data Librarianship via a National Internship Program: Paid Practical Experiences for POC 

Friday, October 7th – 10:00 – 11:15PM, Palm Room

In efforts toward diversifying the field of data librarianship and providing opportunities for grad students of color, a national center developed a 10-week paid summer internship program. The internship provides mentored data training, career guidance, and professional networks, and interns are embedded into the tasks and complexities of data librarianship, while being provided ongoing guidance for success. This presentation will detail the structure and assessment of the internship, working with external EDI-guidance in development of the program, and results from the first cohort.

 

LatinX and Native American Communities’ Conversations about COVID-19

Friday, October 7th – 10:00 – 11:15PM, Palm Room, Banyan Room

The grant-funded outreach program “Community Conversations about COVID-19” brought together three medical librarians, Community Health Workers, and Native Patient Navigators from communities in Tucson and University of Arizona 2nd year medical students. Our program designed “cafecitos” which opened conversations about accessing and discussing local, culturally sensitive health information including those from the National Library of Medicine, CDC, among others. Our presentation will detail the program’s functions, outcomes, and challenges in working with predominantly white institutions.

 

Data-Driven Engagement to Underrepresented in Biomedical Research Populations

Friday, October 7- 2:30-4:00 PM, Horizons East/West Room

Our poster will describe our use of community-level data from Census and HRSA, to identify libraries and organizations that are located within communities with underrepresented in biomedical research populations (UBR). To address this, we developed a data dashboard in Microsoft PowerBI that identifies Zip Code Tabulation Area (ZCTAs) to identify areas with significant representation of UBR communities. The authors will describe the dashboard development process including using Rstudio to access and manipulate the data, and evaluating data visualization tools.