[ Research Interests: Causal inference, spatial data science, groundwater water resources]
[ Doctoral Research: Groundwater level dynamics and agricultural land use change: Econometric Issues and Strategies]
>Figure showing extreme irregularities of the water table and the depth of wells. Image circa 1902 [1]. <
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Affiliation
Affiliation
I am currently Assistant Professor (Contract.) at the Faculty of Engineering and Technology, Jamia Millia Islamia and Senior Data Scientist (Consultant) at the Econometrics Lab, IIIT Delhi, New Delhi, India. I received a PhD in applied econometrics from IIITD in early 2024 in which I worked on causal inference and econometric strategies for groundwater resource management. I work at the intersection of applied econometrics, data science and computer science.
Job Market
I am open to full-time positions at the intersection of applied econometrics and data science. I am looking to develop a program/lab that uses econometric modeling, machine learning, GIS and remote sensing for sustainable development and evidence-based policy making.
Job market materials:
Job Market Paper (available on request)
Download all job market material. References are available on request. Feel free to write to me at mail.saifali@gmail.com or saifa@iiitd.ac.in
Summary
Summary
I am committed to teaching, research, program development and institution building for interdisciplinary work in computing and social science. This commitment serves the larger goal of empowering students and the public to correctly situate and apply new technologies in their lives and work. I believe that evidence-based policy making combined with ethical and critical studies is a powerful framework for tackling new world problems.
Cross-validation of spatially predicted groundwater levels in Western Uttar Pradesh.
Source: Ali, Saif, and Gaurav Arora. "Spatial Auto-correlation in Groundwater Levels." (2022).
NPTEL Course: Spatial Statistics and Spatial Econometrics
NPTEL Course: Spatial Statistics and Spatial Econometrics
I assisted Dr. Gaurav Arora (IIITD) with an exciting new NPTEL course titled "Spatial Statistics and Spatial Econometrics." Check it out on NPTEL.
In the course, I teach spatial statistics and spatial econometrics using R and ArcGIS.
The code, data and slides are available on GitHub. The materials are provided "as-is" with no liability to the author for correctness or unintended outcomes.
About NPTEL
The National Programme on Technology Enhanced Learning, is a joint venture of the IITs and IISc, funded by the Ministry of Education (MoE) Government of India, and was launched in 2003. It started as a project to take quality education to all corners of the country. NPTEL offers 600+ courses in about 22 disciplines. It is the largest online repository in the world of courses in engineering, basic sciences and selected humanities and management subjects.
About Me
About Me
Computer Scientist and Applied Economist
Computer Scientist and Applied Economist
Department of Social Science and Humanities, IIITD, New Delhi, India
Research Interests
Research Interests
Groundwater resource economics and management, applied econometrics, spatial statistics, missing data
Interdisciplinary Interests
Interdisciplinary Interests
Computational social science and empirical economics, data science and visualization, economics and ethics
Curriculum Vitae
Curriculum Vitae
Contact
Contact
Email: mail.saifali@gmail.com
Phone: 011-26907415 (Office)
Mail: B-213, R&D Block, Indraprastha Institute of Information Technology, Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, Shyam Nagar, Okhla Industrial Area, New Delhi, Delhi 110020
Directions: Arriving from Okhla/Modi Mill turn left onto Ma Anandmayee Marg from the outer ring road. Go into the service lane and turn left under the metro station. Go straight and follow the curve to the left. Once you see a black board that says "IIITD" turn right and you will arrive at the main gate #1.
Map: https://goo.gl/maps/nPtBEqC21z98XwtS9
References
References
1 Header image courtesy Flickr Commons in Geological Survey (U.S.). 1896. Water-supply and irrigation papers of the United States Geological Survey. Washington: G.P.O.
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