Seidenberg Students Display Innovation at Pace’s Research Events
Over the course of last week, the Seidenberg School of Computer Science and Information Systems’ students presented their student research across two separate events at Pace University.
Over the course of last week, the Seidenberg School of Computer Science and Information Systems’ students presented their student research across two separate events at Pace University.
The first of those events, the Spring 2024 Undergraduate Research and Creative Inquiry Days, spotlighted the work of undergraduate students from across all of Pace’s schools and colleges who engaged in faculty-mentored research and creative inquiry during the academic year. The students showcased their scholarly or artistic work, and all of their work was created as part of a course-based research assignment, award program, co-curricular project, or in fulfillment of their Senior Capstone or Honors College thesis.
The second event, the Pforzheimer Honors College Conference 2024, also had an immersive academic showcase, as Honors students presented their research, creative work, honor theses, and innovative tech projects to the entire Pace Community. Seidenberg students were located in our Design Factory space on the 9th Floor of 15 Beekman, and showcased their work to their mentors, faculty, staff, fellow students, and family members.
Across both events, all of Seidenberg’s students presented a wide range of topics, showcasing the many different facets that technology occupies in our lives. Their research highlighted how tech innovations will be coming to all industries in the near future both locally and globally, and it exemplified the hunger for innovation that our experts, faculty, and students bring to the table.
The breadth of topics our students presented was impressive and ranged from using animations as tools for developing algorithmic thinking in artificial intelligence, to developing an orbital recycling system. One student researched how ride-hailing applications have influenced urban mobility patterns, while other students looked at how AI can be ethically utilized for the coloring process in comic books and presented new methods of developing cryptocurrency market legibility for users.
The Seidenberg school wants to thank our students who dedicated countless hours to developing their projects, and the faculty who supported them through their mentorship. This work perfectly exemplified the innovative spirit of Seidenberg, and highlighted Pace’s commitment to giving students the opportunities they need to shine and make a difference in the world.
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Speedemissions, Inc. Announces Student Winners of its Inaugural $100,000 “Project Planet Young Entrepreneur” Competition
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Professor Bennett Gershman speaks with Newsweek about Judge Aileen Cannon indefinitely postponing Donald Trump's classified documents trial in Florida, furthering calls from critics for her to recuse herself from the case.
Ethics Codes in Motion
Ethics codes are being revised in the Town of Deerpark and Village of Warwick, and both municipalities will soon appoint ethics committee members. Gina Scutelnicu Todoran, Professor of Public Administration at Pace University, was asked how the appointment of ethics board members by municipal council members or trustees, as is the protocol, could result in effective oversight. How can the officials who are to be monitored choose their monitors? Todoran explained what are considered best practices.
Judge Engoron under investigation over 'very troubling' talk with lawyer about Trump case
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High-profile New York lawyer says he tried to advise judge in Trump civil fraud case
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Retired Presiding New York Appellate Justice and Law Professor Alan Scheinkman speaks with NBC about high-profile attorney Adam Leitman Bailey, whose law license was once suspended, saying he approached the judge presiding over Donald Trump’s civil fraud case to offer unsolicited advice about a law at issue in the case.
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Seidenberg’s Computational Intelligence Lab Hosts a Data Pipeline Workshop
On April 25, Seidenberg’s Computational Intelligence Lab (CI-Lab) hosted a Data Pipeline Workshop in the lab’s new space in Pace’s 15 Beekman building.
On April 25, Seidenberg’s Computational Intelligence Lab (CI-Lab) hosted a Data Pipeline Workshop in the lab’s new space in Pace’s 15 Beekman building. The main goal of the workshop was to help participants build fully custom data pipelines and help them advance to that level after mastering simple examples. The workshop was designed for students who have a good foundational knowledge of Python and were familiar with Pandas. Students were required to have a Python interpreter and a code editor to perform the operations on the datasets themselves. With this approach, when the students tried to perform practical operations and experienced issues, they got immediate help and guidance from the CI-Lab Team.
An Introductory workshop was held the day before on April 24, and this session was specifically for the participants who needed a refresher or foundational knowledge to engage with the main workshop's content more effectively.
Participants of the main workshop learned how to create, manipulate and manage data within DataFrames, including reading from CSV files and modifying column names, and learned about the importance of cleaning and preparing data before analysis.
Different techniques of cleaning and dropping, deducing and replacing data, and handling synthetic data were discussed, as were more complex operations like concatenating DataFrames, filling null values, and generating dummy variables. The students also covered Data Augmentation methods to enhance the dataset.
The CI-Lab team used practical exercises to deepen the participants’ understanding of the theoretical concepts that were introduced, and in doing so perfectly showcased what the lab is all about: being Pace University’s venue for demonstrating its leading-edge analytics and technology.
If you are interested in collaborating with the lab, their team provides a working environment for faculty, staff, and students. You can engage in collaborative research with other faculty and students, drop in for a workshop, or listen to an industry expert share their daily involvement in data science, machine learning, or artificial intelligence.