Note that the matching of class days to topics are not set in stone. If a speaker name has been mentioned then the date and topic is confirmed.


Tuesday, 30 August - Data is the New Oil:
An overview of how the data of the people is used to help companies make better decisions. We discuss how the role of data has shifted from being used for optimization to creating data products to becoming the infrastructure of tomorrow. Data is sometimes called “the new oil” to highlight that data needs to be refined to become useful: The value of data is the relevance for decisions.



Tuesday, 06 September - The 6 Data Rights with Raven Jiang and Gam Dias:
In this class, we will discuss the six data rights proposed by Andreas Weigend and order them in terms of importance. The right to access data, the right to inspect data companies, the right to amend, the right to blur, the right to experiment, and the right to port (our data to other companies). Which data rights are the most meaningful for you as an individual, which rights are critical for our society, and are there some rights that we can live without perhaps?



Tuesday, 13 September - Emotion Sensing with Filippo Rossi, Institute for Neural Computation, UCSD and Teri Elniski, US Department of Commerce:
Emotional analysis of a video, what can be gleamed from such information?



Tuesday, 20 September - Data for the People with __Dr. Qing Wu__, Senior Economist at Google:
At the heart of the future direction of the Social Data Revolution lies the critical concept of data ownership. Who is in control of the data that we produce in our digital wake? And in our understanding of privacy as it relates to our digital data, what kind of implicit trade-offs are we really making? How much are we willing to pay for privacy? We also consider copyright and its manifestation in the digital world. Do we own the data that we inevitably create in our daily lives? In what sense can we exercise meaningful control over what we create? We discuss the six data rights that successful companies need to respect and end with the question of what fairness means in a world where everything is recorded.



Tuesday, 27 September - Questions by MingYeow Ng:
How to ask the right questions? How to incentives people to answer your questions? What are the right questions to ask? Questions on Stack overflow must be very specific whereas when going on dates one tends to be as broad as possible. Where does this deviation come from, what are some frameworks that can be applied to question asking to maximize one's intentions. In the field of data science you only get as much as you asked, so you better ask the right questions.



Tuesday, October 4 - Food Porn by Jim Blomo of Yelp:
How many Instagram photos are tagged #Food or #FoodPorn or some other derivative in a day? By looking at food posted on Instagram nutritionists can infer the diets of different demographics across the country and how healthy people are in food deserts. But there are commercial aspects of food, can we predict the next thing in food, or perhaps can we trigger the next big thing in food by having micro influencers posting specific types of food items?




Tuesday, October 11 - The Dark Side of Data - Dereck and Ryan from (NSFW) Cam4:
There are a lot of great things to discuss for this class, be very excited. FYI we are not joking, the link above is actually NSFW (Not Safe For Work).



Tuesday, 18 October - Public Blockchains with _Balaji Srinivasan_, CEO and Cofounder at 21 and David Holtzman and Nicole Ozer of the Technology and Civil Liberties Policy Director at the ACLU of Northern California:
The Future of Finance: When we think of using data to make better business decisions, we think of social networks and the promise of online services customized for every individual. It is easy to overlook many other forms of data that are already being constantly generated through the course of doing business. Consider Alipay with the data on billions and billions of transactions. How can we apply new techniques and ideas to these existing stockpiles of data to help people make better decisions, whether in combating fraud, giving loans, or discovering retail trends? And how will a public blockchain change how finance is done, where everyone can see everyone's transactions in an immutable database that can never be overwritten?



Tuesday, 25 October - Moving with Andrew Chamberlain,Chief Economist of Glassdoor and John Squire of Dynamic Action:
Goldman Sachs Tower in lower Manhattan is the number one drop off point among office locations in NYC according to Uber data. If weather affects how stock traders operate, what about their ride to work, can Uber predict how the market will move? The future of transportation is technology driven, no longer if the emphasis on the physical engine, but the software layer that exists on top of it. Companies such as Tesla and Uber are called software companies or logistics companies rather than traditional car companies, and every step you make inside their walled gardens are logged and stored. Our final class class will be the Social Data Summit where guest speaker Rich Barton will talk about traveling the world as Co-Founder of Expedia, moving to a new home as Co-Founder of Zillow, and employees moving across businesses as Co-Founder of Glassdoor.