Data Science Corps

Harnessing the Data Revolution at NSF

This project is a collaborative effort with UMBC as the coordinating as well as implementing organization and the University of Baltimore (UB), Towson University, and Bowie State University as implementing organizations. BNIA-JFI will be a part of a team of experts with multidisciplinary academic expertise and complementary training experiences in parallel computing, data science, big data, cybersecurity, virtual reality, geospatial data analysis, and urban and regional planning. BNIA-JFI will support integration of real-world data science projects by 1) recruiting and introducing data science tools and techniques to undergraduate students at UB; 2) accelerating the adoption of advanced data science techniques, such as geospatial analysis for projects in urban communities through community-based real-world projects.

This project has been supported by NSF grant IIS-1923982.

Become a Part of the Corps!

If you are interested in getting conceptual and hands-on experience in data science and get paid for it, consider applying for the following opportunity. The Baltimore Neighborhood Indicators Alliance (BNIA) at the University of Baltimore is seeking Undergraduate students to be a part of a Baltimore regional Data Science Corps. Students will be trained on data processing best practices for analysis, geographic information systems, effective and ethical data visualization techniques for applications that help communities in Baltimore understand the current impacts of the COVID19 pandemic. The students will work with BNIA staff and faculty mentors and will be involved in real-world projects.

Students will be introduced to several data science learning opportunities with BNIA staff and other online training in order to work on the projects outlined above. Learning modules and team meetings will be approximately 3-5 hours per week. Time spent on projects will be approximately 8 hours per week.

Contact [email protected] for more information

Host a Baltimore Data Science Corps Fellow

Our students are going through rigorous training on Data Science techniques that can be used for social good. We are looking for organizations that have a data science question or need that could serve as both a learning opportunity for the students as well as a service to your organization/agency.

If you are interested in hosting a student for a semester, please fill out this Host Intake Form

What kinds of projects might the students work on?

1) Analyze databases regarding internet speeds by neighborhood
2) Create a web scraper to collect routinely updated data on websites that don’t have an open data API
3) Review real time service of new bus schedules and see if different neighborhoods are
experiencing service disruptions
4) Analyze city budgets for youth related spending and programs

Past Data Science Corps Projects

Spring 2024

Tara Vickers – Repairing and updating BNIA’s GitHub codes

Fall 2022

Jaia Russell – 211 Data for Maryland

Kabah Selli – Analyzing Open Checkbook

Ibraheem Sule – Social Determinants of Mental Health in Baltimore City

Bozkurt Karaoglan – An Ongoing Project to Predict Crime Rate in Baltimore Using Neural Network Algorithms

Jonathan Cleary – Analysis on Correlation Between Homicides/Shootings and Demolitions in Baltimore City, 2019 & 2020

Summer 2022

Charles Lac – Visualizing Criminal Intelligence Debriefings in Baltimore

Bozkurt Karaoglan – Quantifying Criminal Intelligence Gathering for Baltimore Police Department’s Operational Dashboard

John Cleary – Creating a Dashboard for the City of Baltimore

Summer 2021

Amivi Atsu – Exploration of Data Works MD’s Membership

Loveth Akinyemi – Analysis of Federal and State Coronavirus Funds

Kaitlyn Baker – Improving the Accuracy of a Web Scraper

Spring 2021

Ruth Robinson – Recycling Cart Rollout ’21

Lalla N’diaye – AI Solar Output In The Baltimore Metropolitan Area

Hannah Boyd – Covid-19 Vaccine Distribution in Baltimore City

Fall 2020

Brian Kelly – Developing an Index for Communities Underserved by Transit

Michael Vandi – Understanding the Importance of Data Documentation

Ruth Robinson – Social Media Alert System for COVID-19 Illicit Behavior

Summer 2020 (For Baltimore Data Week)

Brian Kelly – An Analysis of Baltimore City E-Scooter Distribution

Michael Vandi and Naomi Weiss – GIS with the BNIA Data Science Corp

Ruth Robinson and Priya Kanneboyina – Is Baltimore City Getting Fast Enough Internet Speeds?

Data Science Corps Ignite Session RecordingSession Resource Guide

Past Data Science Corps Interns

Charles Lac, Degree: Health Systems Management, Graduation Date: Spring 2023

Zachary Clayton, Degree: Information Systems and Technology Management, Graduation Date: Spring 2022

Kaitlyn Baker, Graduation Date: Fall 2021

Loveth Akinyemi, Degree: Applied Information Technology/Cybersecurity, Graduation Date: Winter 2021

Bhawana Pradhan, Degree: Information System and Technology Management, Graduation Date: Fall 2021

Amivi Atsu, Degree: B.S. in Accounting, Graduation Date: Winter 2022

Ruth Robinson, Degree: Business Administration – Real Estate and Economic Development, Graduation Date: Spring 2022

Brian Morrison, Degree: M.S., Applied Industrial & Organizational Psychology, Graduation Date: Spring 2022

Lalla N’diaye, Degree: Business Administration-Accounting, Graduation Date: Spring 2021

Michael Vandi, Degree: Applied Information Technology, Graduation Date: Fall 2020

Brian Kelly, Degree: Upper-Division Certificate in Computer Programming, Graduation Date: Fall 2020

Surafel Beyene, Degree: Applied Information Technology – Application Development & Programming, Graduation Date: Fall 2020

Naomi Weiss, Graduation Date: Fall 2020

Priya Kanneboyina, Degree: Applied Mathematics, Graduation Date: Spring 2023

 

 

 

 

This project has been supported by NSF grant IIS-1923982

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Baltimore Neighborhood Indicators Alliance
The Jacob France Institute
1420 N. Charles Street, Baltimore, MD 21201
410-837-4377 | [email protected]