San Francisco, California
London, United Kingdom
* Who we are *
Data for Good, in affiliation with DataKind.org, is the Canadian voice for data scientists with a conscience. If you have a desire to stay at the forefront of technological innovation & positive social change, join us.
* What we do *
Data for Good, in affiliation with DataKind.org, brings together leading data scientists with high impact social organizations through a comprehensive, collaborative approach that leads to shared insights, greater understanding, and positive action through "data in the service of humanity".
DataKind.org leads a community of pioneering data scientists with the talent, commitment, and energy to open doors & inspire a new way of using the skills and tools of corporations & governments, to meet the needs of the NFP/NGO and social innovation sector.
* How we do it *
By organizing & hosting weekend DataThon events such as this one.
A DataThon is a weekend event that matches up three (3) selected social organizations (that have well-defined data problems) with a team of volunteer data scientists to tackle their data-related
challenges over a 24-48 hours period. The participants are housed & fed throughout the weekend event & the results are presented to the 3 social organizations at the end of the event. Some may refer to these types of events as "Hack-a-Thons", etc. These events are completely free for the participants and serve to energize, educate, and provide direct benefit to the NFP/NGO organizations, as well as to enlighten social sector groups about the power of being data-driven.
Specialties: Data Analysis, Volunteer Matching, Data Visualization, Data Science for Social and Civic Sector.
What are my transport/parking options getting to the event?
Getting to the DataThon is quite easy. We are located in the heart of Toronto, accessible by public transit (TTC) at Dundas Station. The 505 streetcar will drop you off right at the door, as will the Yonge/University/Spadina line subway.
If you are biking here, there is ample space to park and lock up your bicycle in and around Yonge Dundas Square or at Ryerson University's grounds.
Finally, if you are driving, we recommend you park at the Ryerson Parking Garage located at 300 Victoria Street, just North of Dundas Street East (and East of Yonge).
What can/can't I bring to the event?
Definitely bring your exhuberance, laptop and any gear that makes you feel comfortable working for a full day. We will be providing ALL the food, drinks, coffee, etc... that you can take in.
Where can I contact the organizer with any questions?
We can be contacted either through our twitter account: @Data_for_Good
Through email: firstname.lastname@example.org and email@example.com
Do I have to bring my printed ticket to the event?
As per the policies at Ryerson and the Ryerson DMZ, as well as the policies for the building as a whole, we do require EVERY participant to have their ticket printed or to use the Smartphone App to display the ticket when requested.
Who are your sponsors / technology partners?
Currently, we have SAP, Semantria and Ryerson DMZ as sponsors. Our major technology partner is Semantria who is giving us full access to their API (for full NLP analysis) for the entire day of the DataThon.
Will there be any prizes?
There will be a $100 cash prize for the best implementation of Sematria, granted that at least 3 teams are working with Semantria's API.
Who will be judging?
Our judges will consist of a panel of judges from Data For Good, each of our NGO/NFPs and any of our partners who have committed to prize money and/or awards.
When & Where
Victor Anjos, Joy Robson, Saad Zaaman
Victor & Joy started Data for Good out of Toronto, ON and Saad Zaaman is helping us take Toronto to the next level :) We're thrilled to see the #data4good movement growing in Canada with several thriving chapters in not only Toronto but also Calgary & Ottawa plus emerging chapters in Montreal, Vancouver, and even Edmonton and Ft. McMurray! Join us as we add Canada's expertise in Data Science, Machine Learning, AI, DataViz and more to the cause of "data in the service of humanity" - DataKind.org