César Hidalgo

César A. Hidalgo leads the Collective Learning group at The MIT Media Lab and is an Associate Professor of Media Arts and Sciences at MIT. He is an expert on data visualization, physics, and economics.

Hidalgo’s work focuses on understanding how teams, organizations, cities, and nations learn. At the Collective Learning group, Hidalgo studies collective learning and develops software tools to facilitate learning in organizations.

Hidalgo is the author of Why Information Grows and the co-author of The Atlas of Economic Complexity. He co-founded Datawheel LLC, a company that has professionalized the creation of large data visualization engines.

Cesar

Areas of Expertise: Data visualization, physics, economics

Location: Cambridge, MA

Contact Info:

       Email: cesifoti@gmail.com

       Twitter: @cesifoti

He can be heard here:

Delaram Kahrobaei

Delaram Kahrobaei is a Professor at the City University of New York. She is also an Adjunct Professor of Computer Science at the New York University. Kahrobaei is an expert on Cybersecurity, Cryptography, Information Security, and Data Science.

She is a member of the Advisory Committee for the newly created CUNY Hub for Innovation and Entrepreneurship. Kahrobaei is on the faculty advisory board of the Data Science @CUNY and she is the founder of New York Women in Mathematics and Computing Network.

She is President and co-founder of Infoshield, Inc., a startup that works on storing information in encrypted form.

She is also Deputy Executive Officer at the MS program in Data Analysis and Visualization at CUNY Graduate Center.

Delaram

Areas of Expertise: Cybersecurity, Cryptography, Information Security, Data Science

Location: New York, NY

Contact Info:

Email: dkahrobaei@gc.cuny.edu

Phone: (212) 817-8205

She can be heard here:

Deen Freelon

DF UC 3_12_15_300x300

Deen Freelon is an associate professor of communication at American University. He is an expert in political expression through digital media and the use of computational methods to extract, preprocess and analyze large datasets. Freelon is the creator of ReCal, an online application with intercoder reliability, that is used by researchers worldwide.  His data findings have been published in peer-reviewed journals such as Information, Communication & Society. Freelon is located in Washington, DC.

Contact Information:

Email: dfreelon@gmail.com

Twitter: @DFreelon

Phone: (202) 885-6462

Giannina Segnini

Giannina Segnini teaches journalism at Columbia University. Her current research focuses on using data to investigate across borders, as well as the shipping industry. She has led a team of journalists and computer engineers in the Investigative Unit at La Nacion to unfold investigative stories by analyzing public databases. Segnini has also trained hundreds of journalists on investigative journalism and database journalism in Latin America, the US, Europe and Asia, in programs like the Organization of American States in Washington DC and the United Nations Development Program.

Over the past decade, Segnini has spoken regularly at international conferences on investigative journalism, like the Global Investigative Journalism Conference. She also coaches cross-border investigations in Latin America and was part of the grand jury for the first Global Award on Data Journalism

Giannina Segnini

Professor of Journalism at Columbia University

Areas of Expertise: International Corruption, Bribery, Fraud Investigative Communication Methods, Computer-Assisted Reporting, Data Analysis in Communication

Location: New York, NY

Contact Information:
Email: gs2799@columbia.edu
Twitter: @gianninasegnini

Heard on Columbia Journalism School Special: Cabot Prize, Giannina Segnini

Added September 2015

Last Verified: September 2015

Pedro Domingos

Pedro Domingos teaches computer science at the University of Washington in Seattle. His research spans a wide variety of topics in machine learning, artificial intelligence, and data science, including scaling learning algorithms to big data, maximizing word of mouth in social networks, unifying logic and probability, and deep learning.

A Fellow of the Association for the Advancement of Artificial Intelligence, Domingos is also a winner of the SIGKDD Innovation Award, the highest honor in data science. He has held visiting positions at Stanford, Carnegie Mellon, and MIT.

Domingos is the co-founder of the International Machine Learning Society. He is the author of a popular science book on machine learning entitled “The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World.”

Pedro Domingos
Professor of Computer Science, University of Washington

Areas of Expertise: Machine Learning, Artificial Intelligence, Data Science, Big Data, Robotics, Technology and Society

Location: Seattle, WA


Contact Information:

Email: pedrod@cs.washington.edu
Telephone: (206) 543-4229

For interview requests related to the book, please contact:
Betsy DeJesu
Associate Director of Publicity, Basic Books
Email:
Betsy.DeJesu@perseusbooks.com
Telephone: 212-340-8162

Heard in Lecture at University of Washington: Pedro Domingos Explains Machine Learning

Khaliah Barnes

Khaliah Barnes is associate director of the Electronic Privacy Information Center (EPIC) and director of the EPIC Student Privacy Project. EPIC works to protect privacy, freedom of expression, democratic values, and to promote the public voice in decisions concerning the future of the Internet.

Barnes works on a host of privacy issues and has submitted comments in over forty federal agency rulemakings and similar agency proceedings concerning the Privacy Act, the U.S. – EU Safe Harbor Framework, information security, air traveler rights, student privacy, consumer rights, automotive privacy, drones and domestic surveillance, medical privacy, and the Freedom of Information Act. As Director of the EPIC Student Privacy Project, Barnes created the Student Privacy Bill of Rights, defending student privacy rights before federal regulatory agencies and federal court.

A frequent commentator on student data collection, Barnes has provided expert commentary to CBS This Morning, the New York Times and the Washington Post, among other outlets. She is also a lawyer, and will teach “Information Privacy Law” at Georgetown Law in 2016.

Khaliah Barnes
Associate Director of EPIC and Director of the EPIC Student Privacy Project

Areas of Expertise: Student Privacy, Consumer Privacy, Car Privacy, Drones and Domestic Surveillance, Government Databases, Privacy Act

Location: Washington, DC

Contact Information:
Email: barnes@epic.org
Phone: (202) 483-1140 ext. 107

Heard on NPR’s Talk of the Nation: Tracking Privacy And Ownership In An Online World

Added July 2015