Indiana University Luddy School of Informatics, Computing, and Engineering的动态

Dr Lunjia Hu, an incoming assistant professor at Northwestern University, USA, is ooking for students to join the Northeastern CS?PhD program (https://lnkd.in/e8KKRbK3)?in Fall 2025. Dr Lunjia's research spans many areas of theoretical computer science and machine learning with a focus on trustworthiness. Topics include: -algorithmic fair prediction and decision making -uncertainty quantification and calibration -learning theory (e.g. sample complexity characterizations) -approximation and online algorithms -robust and interpretable #machinelearning -theoretical frameworks for addressing economic and societal challenges. If you’re interested in doing fun research with Dr Lunjia,?apply?to the program (https://lnkd.in/eXzHRvKZ) and mention Dr Lunjia's name in your application. Also, feel free to email Dr Lunjia if you are interested in his?work at [email protected] More details here: https://lunjiahu.com/ #phdpositions #gradstudents #keepyourdreamsalive #computerscience

This is a very interesting article and a very important conversation. It brings up topics tangential to things that have been on my mind lately: the future of academia and the future of applied science jobs.

Completed Phd in Computer science and IT

As the Dean of Northeastern University’s Khoury College of Computer Sciences, I have witnessed the rapid growth and evolution of our field. In this pivotal time, computer scientists are grappling with difficult and consequential questions regarding the technologies under our charge. The ongoing debate around the direction of computer science education has been a topic of concern for many, and Ian Bogost’s recent article in The Atlantic, “Universities Have a Computer-Science Problem,” brought new attention to these critical discussions.? ? My op-ed, "Computer Science Needs a Course Correction," addresses the need to rethink our approach to computer science education. I delve into the ethical, social, and interdisciplinary dimensions that are essential for preparing our students to navigate and shape the future of technology responsibly.? ? I invite you to read the full op-ed about how to address this thorny challenge and share your thoughts about the future of computer science education.?

If you are a CS Education researcher who leans towards understanding the cognitive underpinnings of student learning, then the Research Strand of the current CS4All solicitation may be your opportunity. In this branch of the solicitation NSF asks you to consider ways in which you “enrich the knowledge base governing how students build on what and how they learn computing throughout their education pathway” and to make sure to do so with a diverse group of learners. After all, the program name is “Computer Science FOR ALL” [my emphasis] So - budding or experienced cognitive scientists out there: check out this solicitation and start laying out your research plan, along with your evaluation plan. Both matter. And if you want to know more about the difference between Research and Evaluation, ping me. Happy Researching! https://lnkd.in/gnYR-JYt

Excited to share this article from Inside Higher Ed about the CIC's collaboration with 10 large public universities to implement interdisciplinary computing majors! https://lnkd.in/enZrZpWX

A recent study conducted by researchers at the University of Reading and King's College London challenges traditional stereotypes of computer science students. The research, published in Educational Review, analyzed over 9000 responses from secondary school students in England and found that young people value a broader range of characteristics in computer science students, including creativity and collaboration, in addition to intelligence. The study identified eight main clusters of characteristics, revealing that students aspiring to careers in computer science value diverse traits beyond just intelligence. The findings also highlighted differences in how girls and students from less advantaged backgrounds perceive the ideal computer science student. The researchers believe that these insights can help promote a more inclusive image of computer science and encourage greater participation in the field. The study is part of the SCARI computing project, which aims to address the underrepresentation of girls in computer science education.

The D2I lab, led by Dr. Kexin Rong, actively looking for master and PhD students at Georgia Institute of Technology. The goal of the D2I lab (part of the?Georgia Tech database group) is to 1) design and build systems and tools to help simplify data science at scale for non-experts and 2) train world-class researchers. Dr. Kexin Rong is broadly interested in building systems and tools to help democratize data science, i.e., making it easy for non-experts to make sense and leverage the increasing large volumes of data by making the process more efficient and more accessible. If you are interested in pursuing graduate studies in the D2I lab at Georgia Tech: https://lnkd.in/e8cUBi4S Lab website: https://lnkd.in/e6sGVy2i #phdpositions #gradstudents #research #keepyourdreamsalive

A?paper published by Brodley?and a group of collaborators in 2022 showed that the?percentage of traditional computer science majors at Northeastern who are women grew from 16?percent to 21?percent from 2014 to 2020. But within the combined computer science majors, the?percentage of women grew from 18?percent to 39?percent in the same time period. On the other hand, the rate of nonwhite students in the regular computer science program was roughly the same as in the combined programs, the report showed. https://lnkd.in/eMgP_ZUt

Discover the latest insights and innovations from the Department of Computer Science in our SEAS Dean's Blog Sina Rabbany . Stay informed and inspired by the forefront of technological advancements. #SEAS #ComputerScience #Innovation #dematteisseas #hofstra #hofstrauniversity