The Research Bazaar will hold a month of events related to the overarching theme of Data and Communities: Sharing and Protecting Data. To build our data science community, the events will include an in-person poster session.

We encourage posters that connect data science to a wide range of applications, research topics, and disciplines. This year, we encourage submissions that fit our overarching theme of Data and Communities: Sharing and Protecting Data, though posters are not required to fit under one of the sub-themes.  

Below are ideas for inspiration (these are not requirements or endorsements):

1. Communities with Data / Data about communities
    - [Example] Measuring the effectiveness of incentives for COVID-19 vaccinations
    - [Example] Helping food banks and policy makers analyze food insecurity
    - [Example] Analyzing data on opioid use and how resources are allocated to more effectively
       support rehabilitation
2. Protected Data
    - [Example] How to protect data collected about tribal citizenship
    - [Example] Enabling data sharing while protecting individual interest and sensitive information
    - [Example] Creating synthetic/semi-synthetic data
3. Data Ethics
    - [Example] Using machine learning to help identify and stop the spread of misinformation
    - [Example] Curating inclusive and diverse datasets for AI
    - [Example] Understanding bias in machine learning algorithms predicting recidivism
4. Open Data, Software, and Curricula
    - [Example] Sharing of COVID-19 data through portals or data dashboards
    - [Example] Sharing software on tracking and modeling Cyanobacteria blooms in Wisconsin lakes
    - [Example] Creating open source lessons that can be taught and continuously updated
5. Methodologies & Tools
    - [Example] Efficiency and use of machine learning algorithms
    - [Example] Large scale data processing for data science applications
    - [Example] Visualization and tools for data science communication
6. Other

Your proposal will be evaluated based on how it addresses the following questions:
1. What is the context and significance behind the problem you are trying to solve?
2. What kind of resources, expertise, and services do you bring to the campus community or potential project collaborators?
3. If you are looking for project collaborators, what kind of expertise are you looking for in them?
4. What methodological, logistic, and ethical challenges and successes do you foresee or have you faced?