Data literacy

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Critical thinking is needed to know if something is right or wrong is not in the schools/society/...

pipeline

  • Get the data
  • clean the data...
  • socialization, many steps that need to happen before socialization.
  • in terms of reality check..

propaganda in media.. factuality..

What does data mean to you?

Ben - how to know if things you see are factual.. books by Tufte

David - as journalist and educator... asking what the meaning of data is. eg crime data from police dept is reflection of policy, not nec reflection of actual crime. transparency around methodology, how data collected are crucial in data literacy. great example is sports, analytical revolution, even bar bro has much more sophistication andd talking about and understanding more advanced metrics.

? - people don't understand data and why its coming across a certain way. history, source, and context of data. who gave the data, what's their context and reason for giving data.. how we play into resource process. We have new ways of collecting, visualizing, etc, data.. how to find purpose in all of (noisy?) data... eg using wikipedia as primary source in early days.. How to teach people how to research. not all data primary or reputable source.

Srishti - questions we want to ask/interesting stories we want to tell while communicating with others about it

Dirk - advocacy bg using tech.. Using evidence to right wrongs. troubled by the term, becoming quickly irrelevant in post-truth world.

? - International sus dev, data forensics.. dealing with so technical data that's not accessible/understandable.. how to translate for practictioners while preserving integrity of the data.

Heather - literacy has a colonial sense, but also, there's a gap. how to address that gap, whether in the education system or..

Dirk - post-fact: eg UK, if don't give money to EU, will have for NHS, but most people don't have ability to see the data on that or data showing that immigrants aren't a problem.

Heather - politicians and businessman get to put out bad information and citizens are the victim in that.

Dirk - the word data also has problems.

? - difference between information and data

? - information taxonomy.

Heather - fact discussions, do you want to be right or do you want to win? can assume that everyone has the same access to logic and education, but what about layers of values and priorities, can education program address that? buckets, how to have a better structure of work.

David - need to have values

Dirk - values of truth and fact, and the journalist, is that what's driving them?

David - incentive structures needed in data collection and reporting. eg clinics report certain stats based on what they need to show based on their funding, and other studies show that wealthy and low-income have similar STI rates.

Heather - gunner wants us to discuss, how do we improve this? what are the mechanisms to improve this situation?

Dirk - when communities have an active role in collecting data about themselves. got to see leadership development around collecting data, and people/orgs working in collaboration because of that.

Ajay - when we're talking about accountability and transparency and the messaging people are receiving, i think about the role of the 4th estate, which hasn't been doing its job, through manipulation it gave us Hillary and Donald in the primary, and I'm looking to see our session talk more about helping our own and others develop better discernment+data literacy skills, was hoping that'd be part of our time during this session.

Heather - tanzania project of flood resilience in cmty, city planners deeply involved bc its the first map that they've gotten, connecting ppl, cmty dev, gotten more young ppl involved and empowered. Holds administration more accountable. teaching and training, schooled by what data and .. are.. don't be a cowboy, spend more time listening. We need to teach people before data.. need to be able to teach ppl.

Takeaways

  • Data ownership is key to engagement.. and then a bunch of depressing stuff
  • Accountability, incentives and ethics
  • Education and awareness