"New tools and solutions should always be designed with the user in mind. There is no point in creating a snazzy dashboard using data science wizardry if it will not be used." Lessons shared on opportunities and pitfalls of scaling big data applications for sustainable development.
In many Indonesian cities, air quality information is not always available in real-time. This gap has inspired our data science team's attempt to nowcast AQI level at the city level using photo shared on social media and the smarts of deep learning, all in 3 steps.
What does safety mean for women when using public transportation at night? Teaming up with UN Women, we've kicked off a new research to gather insights on women's travel experience with the goal of designing interventions to improve their safety and build inclusive urban cities.
Big data, AI, data privacy and social good: where do they intersect? This report outlines tools and methodologies, including data protections and ethical impact assessments, that practitioners can use to ensure the responsible sharing and development of big data applications.
What we're reading
The status of ongoing humanitarian response for Central Sulawesi Earthquake and Tsunami
Resistant to change, many of the traditional modes of transport still being used in Jakarta have existed since the time of the Dutch East Indies. But will the impending operation of Jakarta's MRT replace the city's many minibuses such as angkot, Metro Mini and Kopaja?
Maybe it's brushing up on your data skills or learning new ones altogether, developing these skills normally comes at a cost. With this rich list of open resources, all you need is a bit of time on your hands to help you keep on top of the numbers and win insights. Check it out.
Researcher bias is a common limitation in social research. To ensure that the data and its method of collection is not impaired by any ignorance of cognitive biases, knowing what some of these biases are is a good place to start: But can researchers really avoid these biases?
The idea of using data to inform decision-making is still intimidating for some practitioners. Whether it's due to a lack of trust in one's analytical skills, a fear of statistics or more confidence in our "gut feeling" than all alternatives, here's why it doesn't have to be that way.
That's all, folks!
Wait, there's more. Tell us what you think of Datavores via Twitter, Facebook, Instagram, Medium,LinkedIn, or our website - we're all ears. And not just that, we are keen on discovering everything new and amazing around data innovation, particularly those for public good. So please ping us if you find things that are worth noticing!
