This project will be 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.
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.
This position will run for three months in the fall of 2020. 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.
See eligibility requirements in detailed job description above. Send cover letter and resume to Seema Iyer [email protected]
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
Michael Vandi – Understanding the Importance of Data Documentation
Ruth Robinson – Social Media Alert System for COVID-19 Illicit Behavior
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?
Degree: Business Administration – Real Estate and Economic Development Concentration
Graduation Date: Spring 2022
“I am very excited to be part of this cohort because I get to combine my love for mathematics, my curiosity for data science, and my desire to positively impact my community; It just seems like a perfect fit! I’m most interested learning more about data analytics and how it is practically applied to real-world issues. This is a very momentous time in Baltimore’s (and America’s) history, and working on our team is my way of contributing to the moment.”
Degree: M.S., Applied Industrial & Organizational Psychology
Graduation Date: Spring 2022
“My career interests lie in utilizing data science and analytics to improve workplaces for both employees and employers in the form of augmented operational efficiency, targeted workforce care, and appropriate management practices. I am confident that participation in the Data Science Corps will help to equip me with the necessary technical proficiencies to utilize data science in future roles, while also engaging in a highly consequential area of work aimed at effectively communicating with and aiding residents of Baltimore.”
Degree: Business Administration- Accounting
Graduation Date: Spring 2021
“I am extremely excited to join the Data Science Corps. I get to deepen my understanding of data analytics while having a positive impact. I intend to help people make more informed decisions and understand global trends. With my background in accounting, I want to help the community become financially responsible and successfully eradicate poverty.”
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