Visitors

lib/gemsmith.rb

@@ -2,6 +2,7 @@ require 'yaml'
 require 'redcarpet'
 require 'erb'
 require 'pipeline.rb'
+require 'date'
 
 class Array
 	def where

src/seminar/2018sp.erb

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+---
+title: The UBDB Seminar - Spring 2018
+schedule:
+  - when:  March 1; Time TBD
+    what:  "Data, Responsibly"
+    who:   Julia Stoyanovich (Drexel)
+    where: Location TBD
+    details:
+      abstract: |
+        Data-driven algorithmic decision making promises to improve people's lives, accelerate scientific discovery and innovation, and bring about positive societal change. Yet, if not used responsibly, this same technology can reinforce inequity, limit accountability and infringe on the privacy of individuals: irreproducible results can influence global economic policy; algorithmic changes in search engines can sway elections and incite violence; models based on biased data can legitimize and amplify discrimination in the criminal justice system; algorithmic hiring practices can silently reinforce diversity issues and potentially violate the law; privacy and security violations can erode the trust of users and expose companies to legal and financial consequences.<br/>
+        In this talk I will discuss our recent work on establishing a foundational new role for database technology, in which managing data in accordance with ethical and moral norms, and legal and policy considerations becomes a core system requirement.   I will define properties of responsible data management, which include fairness, transparency, and data protection.  I will highlight some of our recent technical advances, and will discuss the over-all framework in which these responsibility properties are managed and enforced through all stages of the data lifecycle.  The broader goal of our project is to help usher in a new phase of data science, in which the technology considers not only the accuracy of the model but also ensures that the data on which it depends respect the relevant laws, societal norms, and impacts on humans. Additional information about our project is available at DataResponsibly.com.
+      bio: |
+        Julia Stoyanovich is Assistant Professor of Computer Science at Drexel University, and an affiliated faculty at the Center for Information Technology Policy at Princeton.  She is a recipient of an NSF CAREER award and of an NSF/CRA Computing Innovations Fellowship.  Julia's research focuses on responsible data management and analysis practices: on operationalizing fairness, diversity, transparency, and data protection in all stages of the data  acquisition and processing lifecycle. She established the Data, Responsibly consortium, serves on the ACM task force to revise the Code of Ethics and Professional Conduct, and is active in the New York City algorithmic transparency effort.  In addition to data ethics, Julia works on management and analysis of preference data, and on querying large evolving graphs.  She holds M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics and Statistics from the University of Massachusetts at Amherst.  
+  - when:  March 8; Time TBD
+    what:  Title TBD
+    who:   Bill Howe (University of Washington)
+    where: Location TBD
+    details:
+      abstract: TBD
+      bio:      TBD
+---
+
+<p>Subscribe to <a href="https://listserv.buffalo.edu/cgi-bin/wa?A0=cse-database-list">cse-database-list</a> for more details about the UBDB seminar.</p>

src/seminar/index.erb

@@ -1,5 +1,5 @@
 ---
 title: The UBDB Talk Series
-redirect: 2017sp.html
+redirect: 2018sp.html
 ---
 Redirecting you <a href="<%=redirect%>">here</a>...