Nominees must be Non-Exempt Staff Senate eligible, not covered by the bargaining unit (Union). Here is a link to a document explaining the difference. 

Please attend our next meeting on March 12 at 11:30 am either in person in Sherman Hall 461 or virtually 

Helena Dahlen

President of NESS

Hi DAU,

We have an upcoming event this Monday March 10th from 12-12:45PM in ILSB 302 or virtually at a link to be provided soon. Come join us for our rescheduled Advocacy 101 event; yay it's finally here! Get to know each other during a conversation on what advocacy is. Learn about self-advocacy as well as specifically how to be a disability advocate at UMBC. The last section of this time we will be discussing what disability advocacy initiative ideas you all have so that we can work towards implementing them! There will be chips and drinks! See you then!

The event flyer is attached below.

Best regards,

Ember

Jessup, MD 20794

Seats are limited. Fill out the form here to secure your spot.

In an era where data-driven decision-making shapes industries, governments, and everyday life, the ability to leverage data science has become an essential skill. Modern data science techniques, including artificial intelligence, machine learning, and large language models, offer advanced capabilities but often require programming expertise, limiting accessibility for a broader audience. In this talk, I will discuss my work on Texera, an open-source system designed to make data science, AI, and ML accessible to everyone. I will begin by introducing Texera’s no-code workflow interface and cloud-based platform, which enable users of varying backgrounds to seamlessly collaborate together in data science, providing an experience similar to Google Docs and Overleaf. Next, I will discuss the design choices behind Texera’s actor-based parallel execution engine that enable interactions during workflow execution. I will dive deep into my work on enhancing user interactions with the distributed parallel data engine, focusing on innovative data debugging techniques that improve transparency and usability. Specifically, I will present Udon, a debugger for user-defined functions (UDFs) in data systems, explaining how it allows users to interact with an operator with fine-grained control down to the code-line level. I will then present IcedTea, a time-travel debugger for data workflows, demonstrating how it allows users to interact with distributed operators while ensuring consistency. To conclude, I will outline future research directions of developing an ecosystem that integrates advanced interfaces and intelligent systems, enhancing accessibility, efficiency, and user empowerment in data science.

Yicong Huang is a final-year Ph.D. candidate from the Information Systems Group (ISG) in the Computer Science Department, University of California, Irvine. Under the guidance of Dr. Chen Li, his research focuses on big data management, data-processing systems, and systems for data science, AI and ML. 

Hello Retrievers!

Have you taken a few minutes to update your General Application on Scholarship Retriever?

Your general application resets each year, and once you complete it, you are automatically considered for some scholarships. Log in now, new scholarship opportunities open in March that you can apply to!

The general application is just three questions, and now is the perfect time to update your application. 

Tip: Set yourself a reminder to check back on the tool every 2-3 weeks for new opportunities to apply to!