Dr. Bijesh Mishra

Projoint: The One-Stop Conjoint Shop: https://yhoriuchi.github.io/projoint/index.html Conjoint survey designs are spreading across the social sciences due to their unusual capacity to estimate many quantities of interest from a single randomized experiment. Projoint is general-purpose software for the design, implementation, and analysis of conjoint surveys. Its easy-to-use components include a drag-and-drop web-based application for survey design and an R package for analysis. (Information copied from original source on Nov 3, 2025).

Strategies for Essay Writing from Harvard College Writing Center: https://writingcenter.fas.harvard.edu/sites/g/files/omnuum451/files/2024-03/Strategies%20for%20Essay%20Writing–Complete_0.pdf This document has several tips for new writers, whether you are writing assignments, thesis, or dissertation. This document is broken into several sections such as tips for reading an assignment prompt, asking analytical question, thesis, introduction, what is common in introduction across the disciplines, anatomy of body paragraphs, transitions, tips for organizing your essay, counter-argument and conclusions.

Latent Growth Curve Model: https://www.publichealth.columbia.edu/research/population-health-methods/latent-growth-curve-analysis This technique is based on Structural Equation Model (SEM). This article provides an overview and introduction of latent growth curve model and provide list of reading textbook, chapters, methodological articles, application based articles, and a link to a workshop and online course.

Earth Engine Data Catalog: https://developers.google.com/earth-engine/datasets is a collection of time series dataset to visualizing earth surface and other scientific dataset that includes more than forty years of historical imagery and scientific dataset. This dataset is updated and expanded daily.

A Python package for interactive geospatial analysis and visualization with Google Earth Engine: https://geemap.org/. I must admit that I am late in exploring this python package. This is a revolutionary tool to play with geospatial data and tools. It has such a rich functionality. Also, once you set up for geemap, you will have instant access to more than forty years of historical imagery and scientific dataset from google research. I was impressed by the functionality and richness of this dataset. Their GitHub repository has more valuable resources. Highly recommended.