Feed the Future DATATHON

We support CGIAR scientists and partners to use big data approaches to solve agricultural research and development problems faster, better and at a greater scale than before.

CGIAR Platform for Big Data in Agriculture

<H2 CLASS="MsoIntenseQuote">PROGRAM</H2>
10:00 am Training Tracks (Optional) #1: Geospatial Analysis with QGis (Zhe Guo) #2: Data Visualization with Tableau (Jawoo Koo) #3: Household Survey Analysis with Stata (Carlo Azzarri)
12:00 pm Registration and Lunch
12:30 pm Welcoming Messages (TBA)
12:45 pm About the Dataset (Carlo Azzarri) Presentation of dataset and methodology, with step-by-step demo
1:30 pm Research Topics and Examples (Chris Gray) Presenting what we want to learn today
2:00 pm Do It Yourself Your working time, while Lightning Showcase goes on stage
4:00 pm Show Us Your Work 1-slide presentation of what you found/created
4:30 pm Award Ceremony Best Presentation Best Insight Best Visualization
 
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<H2 CLASS="MsoIntenseQuote">What is DATATHON?</H2>
To facilitate the use of Open Agriculture and Nutrition Datasets in agricultural research and development, IFPRI's <A HREF="http://gcan.ifpri.info/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">GCAN Project</A> is working hard to make household-level data more approachable and interoperable. At this Feed the Future DATATHON event, the GCAN Project Team will showcase findings from the harmonized data in Bangladesh across four key food security-relevant domains (climate, agriculture, nutrition, and gender) and invite avid data analysts and visualization specialists to generate their own analyses, infographics, and new insights.
<H2 CLASS="MsoIntenseQuote">What are the Topics?</H2>
Together, using the harmonized dataset for Bangladesh, we will look into following three topics:
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Weather variability and female farming
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Cropping patterns and dietary quality
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Women’s empowerment in agriculture and nutritional outcomes
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<H2 CLASS="MsoIntenseQuote">Who Should Participate?</H2>
It'd be super if you have some background understanding of statistical analysis and how to use any data analysis tools, but we will welcome anyone who's interested in analyzing data and finding new insights, at any level of data analysis skills. If you're a student or a junior researcher, you'll learn from IFPRI's researchers on how you can harmonize datasets from multiple disciplinaries and generate new insights. You can also learn how to use data analysis and visualization tools to help you analyze the data. If you're a development practitioner, you'll have a great opportunity to network with researchers and development professionals and broaden your understanding of what open datasets are already available and how they may help your work. In any case, you'll have fun!
<H2 CLASS="MsoIntenseQuote">What To Bring?</H2>
Participants are expected to bring own laptop and anydata analysis software you feel comfortable using to analyze dataset and visualize the analysis, including Excel. For the building entrance, also don't forget to bring your government-issued photo ID!
<H2 CLASS="MsoIntenseQuote">Can I Present Something I'm Working on?</H2>
Yes! During the event, we will invite anyone in the room to give a 3-minute mini-presentation while participants are working on their own analysis and visualizations. The presentation can showcase any data-related topics, such as a new study finding, new project, new datasets, new tools, or pitching new ideas.
<H2 CLASS="MsoIntenseQuote">What Will Be Provided?</H2>
The harmonized dataset, in both Excel and STATA formats, is available to download from <A HREF="https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/PUK1P7" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">IFPRI's Dataverse</A>. This will be also provided to the registered participants during the registration. We will also provide lunch at noon and supply plenty of caffeine (coffee and tea) and refreshments throughout the event.
<H2 CLASS="MsoIntenseQuote">Wait, Is It a Competition?</H2>
Yes! At the end of event, we will ask audiences to summarize (or visualize) their findings in one-slide and present. From the submissions, we will select three participants - Best Presentation, Best Insight, and Best Visualization - and award prizes.
<H2 CLASS="MsoIntenseQuote">What Will be the Selection Criteria for the Awards?</H2>
We will look for the ones best utilized the harmonized datasets across domains (climate, agriculture, nutrition, and especially gender). We won't be so much interested in ones only looking at one specific dimension.
<H2 CLASS="MsoIntenseQuote">Fine Print</H2>
Individuals attending this event may be audio taped, videotaped, or photographed during the course of a meeting, and by attending grant permission for their likenesses and the content of their comments, if any, to be broadcast, webcast, published, or otherwise reported or recorded. If you have any questions, please let us know!

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