Muhammad Taky Tahmid

Muhammad Taky Tahmid
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Welcome to my site! I'm Muhammad Taky Tahmid, a PhD student in Environmental Economics at the University of Delaware. My passion lies in exploring the profound impacts of climate change on society, particularly within the realms of agriculture and national output. I'm also on an exciting journey to integrate machine learning into my climate change research, blending innovation with vital environmental studies.

I absolutely love to code and am proficient in both R and Python. But more than anything, I love to teach and share knowledge. Here, you'll find a showcase of my research, experiences, and tutorials. I'll also be sharing insightful blogs, so stay tuned!

Let's embark on this journey together, learning and growing along the way!

Stay Tuned!

Climate Change Image
  • Check out my GitHub page for my completed projects: GitHub

We are here to help you navigate the intersection of R, Python, STATA, Excel, and economics. Whether you're a student, a professional, or an enthusiast, this page offers you a guide to mastering the tools and concepts that drive modern economics.

Check out my YouTube channel: EconCode with Taky YouTube

Research

  • Reductions in Economic Outcomes Due to Climate Change Today: In this research, we provide a first meta-analysis of divergent results, applying a machine learning approach to develop a “best estimate” from 58 statistical models across 8 key papers. We then combine this with other major dynamics by which climate change impacts and undermines economic outcomes, including the persistence of damages, sea-level rise, trade spill-overs, and capital loss (Manuscript under Review).
  • Data Gap Analysis for Delaware Bay and Ocean Spatial Plan: This project began by identifying all activities related to Delaware Bay and ocean use through literature reviews, stakeholder meetings, and key interviews, which were then consolidated into six broad categories. In the second phase, we conducted a data gap analysis, assessing over 130 datasets to evaluate their spatial and temporal coverage concerning these activities. The analysis aimed to categorize the activities based on their relevance to sub-groups and identify areas where data is lacking. It provided critical insights for future data collection in support of Delaware Bay and Ocean Spatial Planning (Manuscript under preparation).

Feel free to contact me for professional inquiries or collaborations.