Schedule

Please, check out this schedule frequently as it will likely change a bit throughout the quarter.

Date	Lecture	Keywords	Readings
09/29	Introduction. The value of data	introduction, economics of data, grading criteria
10/01	The Data Science Lifecycle	collection, preparation, modeling, processing, communication of data products. How does data produce value	1- Wing, J. M. (2019). The Data Life Cycle. Harvard Data Science Review, 1(1 2- Jim Gray’s speech on eScience from the 4th paradigm of science
10/06	Data Catalogs and Data Engineering	data engineering, preparation, integration, discovery, cataloguing, metadata, reproducibility, provenance	TBA
10/08	Data as a First-Class Citizen	economic properties of data, privacy, incentives, breaches, antitrust, nonrivalry, power assymetries	Economic properties of data and the monopolistic tendencies of data economy: policies to limit an Orwellian possibility. 17 May 2020 by Hoi Wai Jackie Cheng ST/ESA/2020/DWP/164
10/13	Workshop 1: What’s the value of data?	hands-on activities in the class
10/15	The Value of Data: Macro perspective	digital economy, growth functions, knowledge production	1- Big Data and Firm Dynamics. Farboodi, Mihet, Philippon, Veldkamp. 2019 2- Nonrivalry and the Economics of Data. Jones and Tonetti. Working paper August 2019. (Sections 1 and 2. Rest is optional)
10/20	The Value of Data: Firm perspective	business value of data, assets, quasi-experiments	1- Does Machine Translation Affect International Trade? Brynjolfsson, Hui, Liu, 2018 2- The Impact of Big Data on Firm Performance: An Empirical Investigation. Bajari, Chernozhukov, Hortacsu.
10/22	Data Sharing	data lakes, cloud, commons, data bartering, revenue allocation, incentives	1- Data Shapley: Equitable Valuation of Data for Machine Learning. Ghorbani, Zhou, ICML 2020 2- Efficient task-specific data valuation for nearest neighbor algorithms. Jia et. al. VLDB 2019
10/27	Workshop 2: Alternatives to the Shapley value	hands-on activities in the class
10/29	Data Markets and Marketplaces	data brokers, data sharing agreements, data bartering, price finding	1- Markets for data. Pantelis Koutroumpis, Aija Leiponen, and Llewellyn D. W. Thomas 2- Common license types for datasets
11/03	Data Pricing	why price data?, pricing models	1- A. Goldfarb and C. Tucker. Digital economics. Journal of Economic Literature, 57(1):3–43, March 2019 2- A Survey on Data Pricing: from Economics to Data Science. Jian Pei. 2020
11/05	Introduction to Mechanism Design	truthfulness, incentive-compatibility, property of good mechanisms, auctions, posting prices	TBA
11/10	Mechanism Design for Data	nonrivaly, strategic participants, combinatorial power of data	A Marketplace for Data: An Algorithmic Solution
11/12	Personal Data and Introduction to Privacy	access, control, markets for privacy, contextual integrity	–
11/17	Markets for Privacy	social value of data, value of private information, should personal data be sold?	The Economics of Privacy. Alessandro Acquisti, Curtis Taylor, Liad Wagman. JOURNAL OF ECONOMIC LITERATURE VOL. 54, NO. 2, JUNE 2016 Read section 1, skim section 2, read section 3.0, 3.6, 3.8, read section 4.0, 4.2, 4.4. Skim the rest
11/19	Externality of Data	externalities, public good, economics of social data	Too much data: prices and inefficiencies in data markets”. Acemoglu, D, A Makhdoumi, A Malekian, and A Ozdaglar (2019), , NBER Working Paper No. 26296
11/24	Thanksgiving
11/26	Thanksgiving
12/01	Who Owns a Dataset?	scraping, measuring, data exhaust, data as by-product of other activities, regulated industries, GDPR/CCPA	“Data Strikes”: Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies. Vicent, Hecht, Sen, WWW’19
12/03	Data Unions, Cooperatives, and Dividends	data as labor, digital empowerment of citizens, blockchain and decentralized authorities	TBA
12/08	Project Presentations 1/2	project presentation and discussion	TBA
12/10	Project Presentations 2/2 and Conclusions	project presentation, discussion, and conclusion	TBA