Halıcıoğlu Data Science Institute, UC San Diego’s Post

UC San Diego undergraduate research students at the Halıcıoğlu Data Science Institute (HDSI), part of the School of Computing, Information, and Data Sciences (SCIDS), are leveraging data science to take charge against housing and food insecurity in San Diego County. Through the HDSI Undergraduate Research Scholarship Program, students develop actionable solutions to local issues: - Predicting shelter capacity to serve unsheltered individuals - Optimizing food bank locations to ensure food assistance best impacts underserved communities - Analyzing housing costs to inform policymaking In partnership with the Data Science Alliance and industry mentors, their work showcases the power of collaboration and innovation to benefit our communities. Learn more about their work: https://ow.ly/XJ1L50Uuo63

#UNC assistant professor Alex McAvoy was one of the first faculty members recruited at the UNC School of Data Science and Society (SDSS) in 2023. His favorite joke reflects the school’s "human-centric" approach to using data science to solve real-world problems. Learn how the school brings together faculty from humanities, social sciences and medicine to foster collaboration and help Tar Heels develop data science skills https://unc.live/3CCAnS4

Xinlei “Sherry” Wang, director for research in the UTA College of Science's Division of Data Science, has been named a 2024 Fellow of the American Statistical Association (ASA). Wang, who is also the Jenkins Garret Endowed Professor of Statistics and Data Science, was selected for outstanding contributions in developing and applying statistical and computational methods for complex data challenges; for excellence in mentoring Ph.D. students and junior researchers; and for exceptional leadership of data science programs. Read the story here: https://lnkd.in/gs-h-vjr #MaverickScience #datascience #STEMresearch #AmericanStatisticalAssociation

Newly Funded Research Zhen Bai, an assistant professor of computer science and the Biggar Family Fellow in Data Science at the Goergen Institute for Data Science, received a $6,080 to NSF Student Travel Grant to help eight students attend the 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) Doctoral Consortium.

This September, I’ve officially embarked on my journey towards earning a Master of Science in Data Science at Uppsala University in Sweden. This two-year program, specializing in Machine Learning and Statistics, will allow me to deepen my knowledge, sharpen my technical skills, and gain expertise in these transformative fields.

Check out this spotlight about my time at UW-Madison! Thanks UW-Madison CDIS for the feature!

Excited to be teaching the "Ideal Point Estimation, Item Response Theory, and Scaling Methods for Surveys and Behaviour" course again this summer at the Essex Summer School in Social Science Data Analysis during Session 3 from August 5-16 (online or in-person). https://lnkd.in/eUWsab_r This two-week course covers techniques to discover, understand, and visualize latent patterns and preferences from survey data and other relational data sources including voting behavior and text. You'll learn: - Analyzing survey scales and addressing differential item functioning - Item Response Theory models for binary and ordinal response data   - Bayesian approaches to scaling and IRT - Multidimensional scaling to reduce complex data to its underlying dimensions - Ideal point estimation techniques like W-NOMINATE - Applications for scaling text You'll gain experience using R to implement these methods in your own data and projects. By the end, you'll understand the theories behind the techniques and be able to derive measures of preferences such as ideology, understand latent dimensions, and visualize your data. The course will be offered in a 'hybrid' online and in-person format from August 5-16. Visit https://lnkd.in/eH_B8uMH to apply.

Empowering Future Teachers with Data Science: Data literate citizens are inevitable for a vibrant democracy. Therefore, the main focus of the DataSETUP project is to promote data science literacy in schools by enhancing the (professional) knowledge of preservice teachers in the field of data science. To achieve this objective, the project aims to draw attention towards the integration of data science into teacher education curricula at the university level from multiple disciplines.

I would like to thank Rutgers University Department of Computer Science, Tomasz Imielinski, Professor Zhanyun Zhao, Ananda D. Gunawardena, and my other colleagues who guided me through this certificate. The courses offered for this certificate are extremely informational and useful to fully understand the scale of Data Science and its related fields! This is my first step towards my career in Data Science!

🤔 Who are the data science experts at the Universität Mannheim, and what research projects are being conducted in this field? 📅 For over two years, we have been showcasing the (junior) researchers and their fascinating work in our monthly Data Science Insights interviews. Through this series, we’ve built a portfolio of over 30 scientists from diverse disciplines, each employing a wide range of data science methods. Together, they reflect the depth and breadth of research in this area at our university. 🌟 This month, we’re excited to feature Wladislaw Mill, Assistant Professor of Behavioral Economics. He leverages #ComputerVision to explore how war influences religiosity, using gravestone evidence from the Vietnam draft lottery as a key source of data. 🌐 You can find all expert interviews including Wladislaw's on our website: https://lnkd.in/eKBdj7SE 👉 P.S. Information about senior faculty members involved in data science can be found under the "Academic Members" section of the Mannheim Center for Data Science: https://lnkd.in/etP3_bjT