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Event: OLJ Federal Data Discussion and Listening Session: Missing or Murdered Indigenous Persons — Strategies for Improving Data Collection, Analysis, Use and Communication
Date: July 27, 2021
Time: 11:00 a.m. Eastern Time
Duration: 7 hours
The purpose of this discussion and listening session was to share and hear about public health and public safety data about missing or murdered Indigenous persons and discuss how to improve the collection, analysis, use and communication of this information. The intended audience for this session was Tribal leaders, Tribal citizens, grassroots organizations, public health practitioners, public safety professionals, advocates, community members and researchers.
- Opening Prayer
- Opening by Task Force Member
- Data Discussion:
- Description of Operation Lady Justice (OLJ) and participants; public health and public safety partnership
- OLJ will present data sources that collect information on missing persons and homicides, and provide definitions of commonly used terms, data inter-operability and gaps
- OLJ will describe ongoing data collaborations and current efforts
- Question & answer period
- Listening Session: OLJ will facilitate the listening portion and will call on speakers in the order in which they registered. OLJ welcomes all who would like to share information and recommendations. Resource materials will be provided prior to the listening session.
The following questions are offered as prompts; the speaker may answer these or cover other relevant aspects of data collection, analysis, use and communication.
- What information do AI/AN communities, Tribes, grassroots organizations, law enforcement, urban Indian organizations and others need?
- How can we use data to better understand communities at a local level to encourage public awareness and advocacy?
- How do we convey a more complete picture of who is missing or murdered, to include men and boys, Two-Spirit and LGBTQ+ individuals, while still respecting and honoring that this movement started with women and girls?
- How can we work together to understand data context and limitations so we can identify what problems exist versus those that have been portrayed or perceived to exist?