Science Collaborative for Health disparities
and Artificial intelligence bias REduction
The monthly ScHARe Think-a-Thons scheduled or archived below are designed so participants reach one of these goals (as noted with each session):
Think-a-Thon ScheduleThink-a-Thons are held on the third Wednesday of each month. Accommodations information | Think-a-Thon recordings
| Date | Time | Topic | Register |
|---|---|---|---|
| January 17, 2024 |
2:00 – 4:30 p.m. ET |
Preparing for AI 3: Computational Data Science Strategies 101 How to choose computational tools and techniques in data science, including:
|
Registration coming |
| February 21, 2024 |
2:00 – 4:30 p.m. ET |
Data Science Projects 1 – Health Disparities and Individual SDOH Hands-on research collaboration session on individual SDOH:
|
Registration coming |
| March 20, 2024 |
2:00 – 4:30 p.m. ET |
Data Science Projects 2 - Health Disparities and Structural SDOH Hands-on research collaboration session on structural SDOH:
|
Registration coming |
| April 17, 2024 |
2:00 – 4:30 p.m. ET |
Data Science Projects 3 – Health Outcomes Hands-on research collaboration session on health care delivery and health outcomes:
|
Registration coming |
Individuals who need reasonable accommodation to participate should contact the ScHARe team at least five business days before the event.
| Date | Duration | Topic | Materials |
|---|---|---|---|
| November 15, 2023 |
2.5 hours |
Video coming: Preparing for AI 2: An Introduction to FAIR Data and AI-ready Datasets How to prepare an AI-ready dataset using gold standard data management principles, including:
|
Coming |
| October 18, 2023 |
2.5 hours |
View video: Preparing for AI 1: Common Data Elements and Data Aggregation How to use common data elements (CDEs) to enable big data-enriched research:
|
View slides |
| September 20, 2023 |
2 hours |
View video: ScHARe 5: A Review of the ScHARe Platform and Data Ecosystem
|
View slides |
| August 16, 2023 |
2 hours |
View video: An Introduction to Python for Data Science – Part 2
|
View slides |
| July 19, 2023 |
2 hours |
View video: An Introduction to Python for Data Science – Part 1
|
View slides |
| June 21, 2023 |
2 hours |
View video: ScHARe 4 – Terra ScHARe-hosted Datasets
|
View slides |
| May 17, 2023 |
2 hours |
View video: ScHARe 3 – Terra Google-hosted Datasets
|
View slides |
| April 19, 2023 |
2 hours |
View video: ScHARe 2 – Terra Datasets
|
View slides |
| March 15, 2023 |
2 hours |
View video: ScHARe 1 – Accounts and Workspaces
|
FAQsThink-a-Thons are open to researchers and students from high school through graduate studies. We encourage experts in health disparities, health outcomes, data science, bias mitigation, and AI ethics to participate and share their knowledge through these sessions.
Collaborative data analysis can provide health disparities and health outcomes researchers access to powerful research tools. It can also help AI bias researchers ensure that these tools are used responsibly.
Think-a-Thons are designed to create opportunities for these forms of collaboration. They help researchers collaboratively improve their understanding of AI and cloud computing, develop team-based publishable research projects, address bias mitigation strategies, and learn to take advantage of the ScHARe platform. The ScHARe platform houses numerous datasets for social science, social determinants of health, health outcomes, and health disparities, as well as secure workspaces and computational tools. A key goal of the ScHARe platform is to reduce cost and knowledge barriers related to the use of AI and cloud computing for underrepresented groups and populations that have been economically or socially marginalized, and to advance research on health disparities, health outcomes, and AI bias mitigation.
Participants can choose which Think-a-Thons to attend based on their knowledge and interests. There are no attendance prerequisites. Some Think-a-Thons will teach participants to use the ScHARe platform and others will help participants launch collaborative research teams.
Think-a-Thons are held virtually on Zoom.
See the ScHARe Think-a-Thon schedule for details and to register.
Think-a-Thons are two-to-three-hour virtual meetings that enable participants to achieve two key goals:
The teams formed during research collaboration Think-a-Thons will continue their collaborative efforts beyond their initial meeting, as they complete their research project and develop and submit a publication.
Think-a-Thon organizers will provide participants with the following material before each session, if applicable:
Artificial intelligence (AI) uses machines intentionally designed by humans to perceive, synthesize, infer, and identify pattens in big data to help make rapid decisions or anticipate problems. AI combines information from a variety of different sources, including sensors, digital data, or remote inputs, and acts on the insights derived from those data, often in real time. Some commonly used AI tools include R packages and Python libraries for structured and unstructured data.
Cloud computing involves using a secure network of remote servers hosted on the internet to store, manage, and process amounts of data too large for personal computers while still enabling these data to be utilized in confidential personal workspaces.
Cloud computing can provide:
Common barriers to the use of AI and cloud computing tools include a lack of opportunities for training and collaboration with relevant experts, as well as potentially prohibitive costs.
Think-a-Thons lower these barriers by facilitating the use of AI and cloud computing tools on the ScHARe platform. The ScHARe platform contains easily accessible, open-source tools for data analysis. The Think-a-Thon collaborative framework promotes learning and the formation of multi-disciplinary research teams which combine data science experts with health experts.
Please see the ScHARe Think-a-Thon schedule to view upcoming topics.
Page updated Nov. 20, 2023 | created Jan. 18, 2023
