Verify Data for Food Security Study
Budget: $2 – $8 USD
I have drafted a research paper on practical solutions to global food-security challenges, covering crop-yield calculations, distribution logistics, and emerging agricultural technologies. The mathematical side of the work is already being double-checked by my father
What I now need is a fresh pair of eyes to confirm that every input number I rely on—yields per hectare, freight costs, nutrient outputs, technology costs, and similar metrics—is accurate, current, and traceable to a credible source.
Here’s what the assignment involves:
• Review the paper
• Locate authoritative, citable sources for all the numbers I use. Where my number is outdated or weakly sourced, flag it in another color and suggest a replacement backed by peer-reviewed literature, reputable databases (FAO, USDA, World Bank, etc.), or industry white papers.
• Insert inline citations in a simple number format and generate a tidy Harvard style reference list.
• Deliver a brief summary sheet summarising what you kept, corrected, or updated, so it is easy for me to track changes.
Although the topic sits at the intersection of agriculture and logistics, any motivated science or engineering background is perfectly acceptable; the key is comfort working with data, an eye for methodological rigor, and the ability to navigate academic databases quickly.
I plan to submit to a small peer-reviewed journal, and I will gladly acknowledge your contribution as a data verifier in the final publication in the authors list. If this sounds interesting, let me know your estimated turnaround time and any clarifying questions.
What I now need is a fresh pair of eyes to confirm that every input number I rely on—yields per hectare, freight costs, nutrient outputs, technology costs, and similar metrics—is accurate, current, and traceable to a credible source.
Here’s what the assignment involves:
• Review the paper
• Locate authoritative, citable sources for all the numbers I use. Where my number is outdated or weakly sourced, flag it in another color and suggest a replacement backed by peer-reviewed literature, reputable databases (FAO, USDA, World Bank, etc.), or industry white papers.
• Insert inline citations in a simple number format and generate a tidy Harvard style reference list.
• Deliver a brief summary sheet summarising what you kept, corrected, or updated, so it is easy for me to track changes.
Although the topic sits at the intersection of agriculture and logistics, any motivated science or engineering background is perfectly acceptable; the key is comfort working with data, an eye for methodological rigor, and the ability to navigate academic databases quickly.
I plan to submit to a small peer-reviewed journal, and I will gladly acknowledge your contribution as a data verifier in the final publication in the authors list. If this sounds interesting, let me know your estimated turnaround time and any clarifying questions.