Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Schedule: Law, ethics, governance sessions

2:05pm–2:45pm Wednesday, 09/28/2016
Location: River Pavilion Level: Non-technical
Kristi Wolff (Kelley Drye & Warren LLP), Crystal Skelton (Kelley Drye & Warren LLP)
Average rating: ****.
(4.00, 2 ratings)
Companies making data-driven decisions must consider critical legal obligations that may apply to the collection and use of data. Failing to do so has landed many tech stars and startups in hot legal water. Attorneys Kristi Wolff and Crystal Skelton discuss privacy, data security, and other legal considerations for using data across several industry types. Read more.
2:55pm–3:35pm Wednesday, 09/28/2016
Location: River Pavilion Level: Non-technical
Brett Goldstein (University of Chicago)
Average rating: *****
(5.00, 3 ratings)
How can we usher in a future of data-driven decision making that is characterized by more—not less—accountability and accessibility? Brett Goldstein discusses the imperative to couple new developments in data science with a renewed commitment to transparency and open source—with a particular focus on open source models to optimize deployment of policing resources. Read more.
4:35pm–5:15pm Wednesday, 09/28/2016
Location: River Pavilion Level: Non-technical
Sara Watson (Digital Asia Hub)
Average rating: *****
(5.00, 3 ratings)
How are users meant to interpret the influence of big data and personalization in their targeted experiences? What signals do we have to show us how our data is used, how it improves or constrains our experience? Sara Watson explains that in order to develop normative opinions to shape policy and practice, users need means to guide their experience—the personalization spectrum. Read more.