Open Data Institute Podcasts
En podcast af The Open Data Institute
Kategorier:
309 Episoder
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Friday lunchtime lecture: Switching on Christmas lights in an automated home
Udgivet: 15.12.2017 -
Friday Lunchtime Lecture: Can't find the right code? Explain yourself!
Udgivet: 1.12.2017 -
Friday lunchtime lecture: Empty homes and house prices: is there a relationship?
Udgivet: 24.11.2017 -
Friday Lunchtime Lecture: Where is Open Banking now
Udgivet: 17.11.2017 -
Friday Lunchtime Lecture: Leveraging data insights through storytelling
Udgivet: 10.11.2017 -
Friday Lunchtime Lecture: Sir Nigel Shadbolt - What's the future of open data?
Udgivet: 3.11.2017 -
Friday Lunchtime Lecture: Data protection in developing countries
Udgivet: 13.10.2017 -
Friday lunchtime lecture: Rob's comedy bots
Udgivet: 6.10.2017 -
Friday lunchtime lecture: How we made 2.1 million homes appear
Udgivet: 15.9.2017 -
Friday Lunchtime Lecture: Is open data and journalism a match doomed to fail?
Udgivet: 8.9.2017 -
Brexit and open government in the UK: 11 months of May
Udgivet: 14.7.2017 -
Friday lunchtime lecture: Making governments work better with open data
Udgivet: 10.7.2017 -
Friday lunchtime lecture: Measuring the entire charity sector
Udgivet: 1.7.2017 -
ODI Friday Lunchtime Lecture: How you (yes, you!) can contribute to open data
Udgivet: 23.6.2017 -
ODI Lunchtime Lecture: Opening up White House data
Udgivet: 14.6.2017 -
Friday lunchtime lecture: The tenacity of building a business from FOI and open data
Udgivet: 14.6.2017 -
Friday Lunchtime Lecture: Using data to scrutinise decision-making
Udgivet: 26.5.2017 -
ODI Friday Lunchtime Lecture: Open your offing data
Udgivet: 19.5.2017 -
Friday Lunchtime Lecture: using open data to understand the causes of genetic birth defects
Udgivet: 12.5.2017 -
Friday Lunchtime Lecture: mapping the open source landscape
Udgivet: 5.5.2017
Listen to podcasts from the Open Data Institute – discussing the impacts of data across areas including health, cities, the built environment, government and finance. Speakers also delve into issues around data ethics, trust, art, culture, corruption and accountability.