September 22, 2025 | 12-1pm | AOK Library, Room 259 or Webex
What are some of the best strategies and tips for writing a literature review? Whether you are just starting out with your research or have been involved in your project for a while, this workshop is for you.
Note: This workshop is being offered in a hyflex modality, so feel free to join either in person in Library 259, or online via WebEx.
We are pleased to announce the Undergraduate Data Science Scholars (DSS) program for supporting students in Fall 2025. The DSS program welcomes undergraduate scholars from multiple disciplines, including non-STEM majors, who will examine all aspects of data and its impact on society. This year, scholars will have the opportunity to be teaching fellows or research fellows. Scholars will be able to work on research projects in Climate Science, Deepfake detection, and other data science-related projects.
Students selected through this effort will be part of the Data Science Scholars program, which will be run in partnership withthe Center for Women in Technology (CWIT), the Information Systems Department (IS), and the Center for Social Science Scholarship (CS3).
Selected scholars will be assigned to respective affiliations (CWIT/IS or CS3) depending on the student's major, and the scholars' expectations per affiliation are as follows:
Center for Women in Technology (CWIT) Responsibilities:
Research Fellows
Teaching Fellows
Center for Social Science Scholarship (CS3) Responsibilities:
Research Fellows
Scholars who will work as research fellows will work on a supervised research project and be mentored by faculty. Scholars will be paid $20.00/hour for specific tasks, for 5 - 10 hoursper week.
Scholars will attend at least two events in Fall 2025 and/or participate in research initiatives and professional development for their leadership growth and mentoring. Mentors will coordinate this at CS3.
Scholars will also be expected to attend one mentoring meeting with the faculty.
Scholars will be required to enroll in a Zero-credit Practicum course on research experience (PRAC 98C) through the UMBC Career Center.
Background and Skills:
ALL applicants should have knowledge in AT LEAST ONE of the following:
Analysis of social, behavioral, economic, or geographic data
Python or one of the data science tools and/or languages (such as R, Rapid Miner, Weka, Orange, Knime, ML on cloud computing)
Jupyter Notebooks with Python or taken IS 296 in a prior semester.
Application Form:
Interested students should complete the Google Submission Form,OR access the form using the following link: https://forms.gle/FFUAa5RpDNMGYvTY9 by Friday, September 5, 2025.
Questions:
For questions, please email Dr. Josephine Namayanja - jona1@umbc.edu
To learn more about potential projects, please check out the following websites:
]]>UMBC Training Centers offers a series of half-day online workshops and sessions on AI topics, available to anyone through a paid yearly subscription. In partnership with DoIT, these workshops are being made available without cost to UMBC faculty and staff for the remainder of 2025.
You can find more information on the available four-hour online workshops and their upcoming scheduled dates by clicking on the links below. Additional topics may be added in the future.
You can register for any of the upcoming sessions by sending an email message to Deshawn Delice (ddelice1@umbc.edu) with your name, role (i.e., faculty or staff), and the sessions and their dates that you would like to register for.
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