San Francisco, California
London, United Kingdom
We're thrilled to announce a huge new DataKind DataDive coming to DC from 3/15 - 3/17! This is part of the Big Data Exploration, an initiative jointly organized by the World Bank, the United Nations Development Programme, the UN Development Business, UN Global Pulse, and the Qatar Computing Research Institute to put a dent in some of the most serious problems in poverty and corruption through the use of data. Low bar, right?
We're calling on all socially conscious analysts, statisticians, data scientists, coders, hackers, designers, or eager-to-learn do-gooders to come out with us on the weekend of 3/15-3/17 to work with data to improve the world. You'll be working alongside experts in the field to analyze, visualize, and mashup the most cutting-edge data from the World Bank, UN, and other sources to improve poverty monitoring and root out corruption. The questions we'll be looking at in particular will be:
- Can we measure poverty differently (using non-traditional or proxy datasets), collect poverty data differently, or could you map poverty using new dimensions?
- Is it possible to determine which projects are likely to report new 'improper payment' (or fraud/corruption - in a limited sense of the word) cases within the next 12 months? Can such an approach lead to better operational risk management in general.
- An initial brainstorm in Vienna on the 22nd with UNDP and other partners! Come help dream up what new datasets can best be used to track and eradicate poverty. All of the results of this event will be available on this wiki.
- DataKind will be at the World Bank in DC for Open Data Day on 2/23 [projects Hackpad]. If you'll be in the area, come join us! We'll be eating pizza and digging into data all day alongside great groups like USAID and the White House, so drop in and help dive into data with us [projects Hackpad]!
- During our DC Data Dive on 3/15-3/17, we will continue to refine the questions, expand the data universe and look into possible options for early prototypes.
- Note: You do not have to attend the Vienna event on 2/22 or Open Data Day on 2/23 to attend the main DataDive on 3/15.
The World Bank
1818 H St NW
Washington, DC 20433
Friday, March 15th
- 6:00 PM: Doors open, sign-in
- 6:30 PM: Opening Remarks
- 9:00 PM: Reception ends
On Friday we all get together to hear a bit about the projects we will be working on through out the week. It's also a great chance to meet the other volunteers you'll be working and you'll have a chance to talk with many people from the World Bank about the projects. Plus there will be snacks and drinks, not a bad way to spend your Friday night!
Saturday, March 16th
- 9:00 AM: Doors open, sign-in and breakfast
- 10:00 AM: Brief review from Data Ambassadors, then data diving!
- 1:00 PM: Lunch
- 6:00 PM: Dinner
- 11:00 PM: Everybody goes home for the night
Saturday we'll get to the data! DataDivers will choose which problems they'd like to work on and form teams around their individual questions. Each team will have a Data Ambassador assigned to them who will help advise on and manage the projects throughout the day. We'll have meals and keep the space open until 12AM for any late-night divers.
Sunday, March 17th
- 9:00 AM: Doors open, breakfast
- 10:30 AM: Presentations from teams to social organizations
- 12:00 PM: Another successful Datadive in the books!
This is your chance to show the world what you have done with the data! There is no expectation of slides or other presentation materials, simply use whatever method of conveying your work to the organizations you feel is best. This is also the chance for World Bank officials and government employees to better understand what your team did. These presentations can be single or group work, but they can be no longer than 10 minutes each. We want to give everyone a chance to speak, and get people out at a reasonable time.
Other items of note for the weekend
- Unlike a hackathon, the goal is not (necessarily) to create an app. Instead it is to work with teams of experts to understand a truly difficult problem through data. You could end up with a visualization, an analysis, some graphs, or even just some new datasets by the end of the event, and all of those are fantastic results!
- There is a Github repository setup to use for sharing code, data, and analyses during the event. The repository is located at: https://github.com/datanoborders/Datadives, with a subdirectory for the World Bank event. This will be our primary resource for capturing everything developed at the DataDive, so please use it for sharing and collaboration.
- We do not assign you to a problem. We want you to work with the problem and data you feel most passionate about, so come Friday with an open mind and be ready to learn.
- You do not have to stay the entire weekend to participate in the event. We hope that you will find a project you can dig into, but you are always welcome to come and go as you please.
- You do not have to work on the same project for the whole weekend. Again, we hope that you will find a project to work on to completion, but if at any point you feel like you want to change simply let the ambassador from those teams know.
- We do not provide any hardware or software for you to use. We'll have the data and some services setup (wiki, DropBox, Github), but otherwise you should bring your own laptop and come ready to use whatever data tools you like.
Can't wait to see you all there!
When & Where
DataKind™ brings high-impact organizations dedicated to solving the world’s biggest challenges together with leading data scientists to improve the quality of, access to and understanding of data in the social sector. This leads to better decision-making and greater social impact. Launched in 2011, DataKind leads a community of passionate data scientists, visionary partners and mission-driven organizations with the talent, commitment and energy to use data science in the service of humanity. DataKind is headquartered in New York City and has Chapters in Bangalore, Dublin, San Francisco, Singapore, the UK and Washington DC. More information on DataKind, our programs and our partners can be found on our website: www.datakind.org