Research Planning

How can we use big data from iNaturalist to address important questions in Entomology?

February 26, 2024
Leah Lee
by Leah Lee. Large-scale geographic data over time on insect diversity can be used to answer important questions in Entomology. Open-source, open-access citizen science platforms like iNaturalist generate huge amounts of data on species diversity and distribution at accelerating rates. However, unstructured citizen science data contain inherent biases and need to be used with care. One of the efforts to validate big data from iNaturalist is to cross-check with systematically collected data, such as museum specimens.

From Ideas to Streamlined Research: The Benefits of Full-Cycle Methodology

December 5, 2023
Farnam Mohebi
by Farnam Mohebi. As an aspiring leading researcher, I find the full-cycle research methodology crucial for transforming initial curiosities into organized studies and research products. This approach begins with thorough observation, leads to theory and hypothesis development and experimentation, and concludes with synthesizing findings into coherent narratives. It's beneficial for researchers of all backgrounds, enhancing the depth and impact of their work. By embracing this method, researchers comprehensively understand each stage and its contribution to the broader research context and can lead the process of converting an initial unspecified research idea to a streamlined research study and product. This systematic approach is particularly effective in complex studies, fostering thorough, investigative, and innovative research processes.

From Asking Causal Questions to Making Causal Inference

December 5, 2023
Lauren Liao
by Lauren Liao. What is causality and how do we ask causal questions? It may seem like a difficult and foreign concept, but fear not, I will guide you through the basic concepts in this blog post. We will start from how to ask causal questions then more formally address how to answer these questions. You may find causality more approachable than you think. It follows the same ideas as presented by the scientific method of rigorously testing how interventions produce different outcomes in a controlled environment.

Introduction to Item Response Theory

October 24, 2023
Mingfeng Xue
by Mingfeng Xue. Measurements (e.g., tests, surveys, questionnaires) are inevitably involved with various sources of errors. Among many psychometric theories, item response theory stands out for its capability of detailed analyses at the item level and its potential to reduce some of the measurement errors. This post first discussed the limitations of conventional summation and average, which give rise to the IRT models, and then introduced a basic form of the Rasch model, including expressions of the model, the assumptions underlying it, some of its advantages, and software packages. Some codes are also provided.

Americanist Linguistics: on Ethics and Intent

October 17, 2023
Anna Bjorklund
by Anna Björklund. In this post, Anna Björklund investigates the origin of the linguistic study of indigenous American languages, its inextricable ties to settler-colonialism, and how linguistics can move forward as a field.

FSRDC 2023 Annual Meeting and Research Conference

October 2, 2023
Renee Starowicz, Ph.D.
by Renee Starowicz. Renee Starowicz, Co-Executive Director of the Berkeley Federal Statistical Research Data Center, provides an overview of the takeaways from the 2023 Annual Federal Statistical Research Data Center Business Meeting and Annual Conference. She provides a brief overview of the Berkeley FSRDC. Then, she describes the priorities for collaboration across national directors to improve outreach to diverse researchers and transparency. Additionally, she points out the other key topics of conversation at this year’s meeting.

Introduction to Field Experiments and Randomized Controlled Trials

July 24, 2023
Leena Bhai
by Leena Bhai. This blog post provides an introduction to field experimentation and its significance in understanding cause and effect. It explains how randomized experiments represent an unbiased method for determining what works. It delves into essential features of experiments such as intervention, excludability, and non-interference. It then works through a fictional example of a randomized controlled trial of the efficacy of an experimental drug Covi-Mapp.

Getting Started with Surveys

October 18, 2022
Ariel Siegel
Getting Started With Surveys

Surveys can be an extremely useful tool for gathering information from individuals and groups. They are used across disciplines and industries to help researchers learn more about populations and gain actionable insights. I’ve done extensive survey research in nonprofit and industry settings, using these data to improve programs, make changes to technology, design communications plans, make content acquisition decisions, and much more. In this blog post, I’ll focus on one of the most important parts of survey research — planning....

Can Virtual Communities be Archived?

February 23, 2021
Anushah Hossain

When future historians try to piece together social life in the twenty-first century, they won’t be combing through faded newspaper clippings or handwritten letters. They’ll be clicking through digital archives that have stored remnants of our real and virtual lives: email collections, tweets, Facebook messages, maybe even Google Calendar entries.

For the time being, preservation of these records is the burden of the user. If one chooses, they can download their Facebook archive or back-up their emails and photos, and maybe choose to share them with a scholar in the...

Organized Code Repositories Accelerate Science and Facilitate Reproducubility

March 2, 2021
Pratik Sachdeva, Ph.D.

Computational and data-driven research increasingly requires developing complex codebases. At the same time, many scientists don’t receive training in software engineering practices, resulting in, for some, the perception that scientists write terrible software. As scientists, good software should accelerate our work and facilitate its reproducibility. While building good coding practices takes some time and experience, it doesn’t require a...