Stack Overflow’s Post

How data are reshaping society: “Datafication” and socioeconomic transformations https://buff.ly/469iJ2W (via @stackoverflow)

🎓 Thrilled to announce the successful completion of a dissertation and the academic year! The research, titled "How Effective is the Dynamic Nelson-Siegel (DNS) Model, Particularly Its Slope Factor, When Combined with Financial Market Indicators and Macroeconomic Variables, in Predicting US Recessions?", offers a deep dive into economic forecasting. This study examined the DNS model's predictive power, comparing a basic model focused solely on DNS factors with a more comprehensive model integrating yield spreads, key economic indicators, and sentiment measures. The findings demonstrate that the enhanced model significantly improves the accuracy of recession forecasts, providing valuable insights for policymakers, investors, and economic analysts. Advanced Python techniques were utilized, including logistic regression and feature selection methods, to fine-tune the model. The research underscores the critical role of the lagged slope factor in predicting recessions and identifies the optimal threshold for classification, effectively balancing precision and recall. A special thanks to Professor Indrajith Ranadeva Jayasekera for his unwavering support and guidance throughout this journey. His mentorship was instrumental in shaping this research. Looking ahead, the knowledge and skills gained through this experience will be invaluable in navigating the complex world of economic analysis. Excited to continue exploring the intersection of data science and economics, and contribute meaningfully to the field! 🚀 Immense gratitude also goes to everyone who had supported me along the way!!!

Join us this Sunday for "A Practical Introduction to Linear Regression in R" with Hunter Driggers, PhD Candidate at the University of Western Ontario. 📅 May 19, 2024 ⏰ 10 AM Vancouver time (1 PM Toronto time). Learn to master linear regression through a hands-on workshop, analyze real survey data, and boost your data skills. Perfect for students, researchers, and data enthusiasts! Register now using the QR code. #data #R #DataScience #LinearRegression #Workshop

Critical Algorithm Studies: a Reading List This list is an attempt to collect and categorize a growing critical literature on algorithms as social concerns.  https://lnkd.in/d4Usm3fN

Wow! Thank you Ariana Mendible for writing this lovely piece about your QSIDE experience for Mathematical Association of America's "Math Values" blog. We're so honored that you've been part of our quantitative justice journey! #data #datascience #mathematics #quantitativejustice #socialjustice https://lnkd.in/g_TEVq76

This is one of many ways that learning data science can be so powerful. #mathispower

Learn how DISSC helps faculty stay apprised of the latest innovations in analyzing and managing data in this recent article. https://lnkd.in/ehs3RTKR

C. R. Rao's contributions to statistics and mathematics are inspiring. His dedication, tenacity, and thirst for knowledge have pushed the boundaries of statistical theory, benefitting society as a whole. Rao's life and work serve as an inspiration for the significance of mentorship and teamwork. His selflessness in sharing knowledge with others showcases how cooperation can promote intellectual growth and creativity. It's truly remarkable how a single person's actions can have such a positive impact on an entire academic discipline. I have heard many things about C.R. Rao, but today I felt that. Prof. Parth Pratim Majumdar and Prof. Nandini Kannan likely provide insights into C. R. Rao's life, focusing on his background, early influences, educational journey, and significant milestones in his career. They might also shed light on his personal characteristics, such as his dedication, work ethic, and passion for statistics and mathematics. Prof. Debasis Kundu likely discusses C. R. Rao's contributions to signal processing, which may include his development of statistical methods for analyzing signals, extracting information from noisy data, or modelling complex systems in signal processing applications. Prof. Satyadev Nandakumar highlights C. R. Rao's contributions to probability theory, including his pioneering work in developing fundamental concepts and techniques. While he is best known for his work in statistics and mathematics, his research has also influenced various scientific disciplines, including economics, biology, genetics, and environmental science. He is also known for his interdisciplinary approach and broad contributions that go beyond traditional disciplinary boundaries. It's a tremendous day for me to become a part of this program.

Mathematics was the one subject in high school that I flunked for. On my final test, the single point I got was for writing my name correctly. But several years ago during my work in CRO, something clicked. Somehow, the principles of mathematics suddenly made sense and a whole new world opened itself up for me. Since then, I've been eagerly catching up and re-educating myself on what I now believe should have been my subject of study over 20 years ago: Data science. I've come to value mathematics as a universal language a lot, and I believe that it can clarify a many things for stakeholders in CRO. Up until now, I've been following great advice (most of the time): Never talk statistics with your clients. It's great advice because in my enthusiasm I can get lost in the subject and frankly, not everybody is interested in the details. but there are times when clarification is needed and those details are immensely important. And then there's the HiPPO. I'm sure there are data savvy people that handle interactions well knowing that the wealth of their expertise can put a discussion down, but also knowing that their stakeholders won't accept too many details in an argument. How, though? Curious to read your thoughts!

Big data visualisation in regional comprehensive economic partnership: a systematic review: The Regional Comprehensive Economic Partnership (RCEP) is an agreement that transformed the world economy and entered into force in January 2022 ... #bigdata #cdo #cto