Big Data Archives - NYU Center for Urban Science and Progress

Urban Impact Series: Gov. Martin O’Malley, MetroLab Network

Julia Lane joins NYU as Full-time Faculty Member

CUSP_Informatics_city_520

 

In May 2015, Julia Lane joined NYU as a Professor at CUSP. She also serves as a Professor of Public Service at NYU’s Wagner Graduate School of Public Service and Provostial Fellow for Innovation Analytics.

Dr. Lane has had leadership roles in a number of policy and data science initiatives at her previous appointments, which include Senior Managing Economist at the American Institutes for Research; Program Director of the Science of Science & Innovation Policy program at the National Science Foundation; Senior Vice President and Director, Economics Department at NORC (National Opinion Research Center) at the University of Chicago; Director of the Employment Dynamics Program at the Urban Institute; Senior Research Fellow at the U.S. Census Bureau; and Assistant, Associate and Full Professor at American University. Please click here for additional information on her professional achievements.

As part of the CUSP team, Dr. Lane will bring significant experience and expertise in building the CUSP Data User Facility, and in cultivating the social science community to strengthen our engagement with new researchers. Dr. Lane is stepping down from her role on CUSP’s External Advisory Board (EAB) where she provided valuable insight and expertise.

Privacy, Big Data, and the Public Good reviewed in Science

Earlier this year, CUSP, along with the American Statistical Association and its Privacy and Confidentiality subcommittee and the Research Data Centre of the German Federal Employment Agency, sponsored a book about the rise of big data and the privacy issues that brings up. The book, Privacy, Big Data, and the Public Good: Frameworks for Engagement, published by Cambridge University Press and launched on July 16 at the New York Academy of Sciences, is an accessible summary of the important legal, economic, and statistical thinking that frames the many privacy issues associated with the use of big data – along with practical suggestions for protecting privacy and confidentiality that can help to guide practitioners.

On November 25, Privacy, Big Data, and the Public Good: Frameworks for Engagement was reviewed by Science Magazine, which said the book “presents a collection of essays from a variety of perspectives, in chapters by some of the heavy hitters in the privacy debate, who make a convincing case that the current framework for dealing with consumer privacy does not adequately address issues posed by big data.”

The full review is available on Science Magazine’s website.

2014 AT&T Transit Tech Developer Day at CUSP

November 22, 2014 – November 22, 2014

2 MetroTech Center

View MapMap and Directions | Register

Description:

The 2014 AT&T Transit Tech Developer Day App is an opportunity to launch the development of your 2014 MTA App Quest entry. This day will allow you to:

  1. Hear from MTA experts about this year’s App Quest and the new datasets and API released for 2014.
  2. Work on the early stage of your concept with access to industry and data experts.
  3. Sign up for in-person or virtual mentoring sessions with experts from the MTA and its partners, including AT&T and New York University’s Center for Urban Science and Progress (CUSP).
  4. Build your team or join a team through a Teammate Match session.

——————————————–
Event Program:

Time Activity Location
8:30 AM Doors Open for Check-In/Registration  
Breakfast Available Pantry
9:00 AM Announcements Lecture Hall
9:05 AM Event Kickoff and Welcome Lecture Hall
9:12 AM About 2014 MTA AT&T App Quest Lecture Hall
9:30 AM Highlight:  New Datasets and GTFS Lecture Hall
9:50 AM Highlight:  Accessibility Track Lecture Hall
10:10 AM Highlight:  Beacon Q&A Lecture Hall
10:20 AM Overview:  Prizes Lecture Hall
10:25 AM Teammate Match (note:  teams may also start work) Lecture Hall
11:00 AM All teams at work Town Hall East
& West
12:00 PM LUNCH & Presentation Schedule Signups Pantry
1:00 PM Office Hours Open

  • MTA Team (Room 820)
  • Prof. Kaan Ozbay, NYU (Room 810)
  • Alex Muro, Lead Developer, AVAIL (Albany Visualization And Informatics Lab, University of Albany, SUNY (Room 818, by Skype)
  • Richard Murby, Developer Evangelist, ChallengePost (Room 827)
Rooms 810, 818, 820, 827
TBA CONCEPT PITCHES Lecture Hall
5:15 PM Winners Announced Lecture Hall

Register

NYU CUSP Unveils First-of-its-Kind ‘Urban Observatory’ in Downtown Brooklyn

New York University’s Center for Urban Science & Progress (CUSP) today unveiled its Urban Observatory, a project that will persistently observe and analyze New York City in an effort to better understand the “pulse of the city” in various states, such as mobility, energy use, communications and economics. The data gathered from the Urban Observatory will ultimately be used to improve various aspects of urban life, including energy efficiency, detecting releases of hazardous material, tracking pollution plumes, aiding in post-blackout restoration of electrical power, and more.

“This technology comes at an opportune time when about 80% of the U.S. population and 50% of the global population live in cities, said Dr. Steven Koonin, NYU CUSP’s founding director. “We’ll take these large data sets and turn them into solutions for city-wide problems, helping us to better understand our urban environment and improve the quality of life for citizens around the world.”

The CUSP Urban Observatory, which is still in its demonstration phase, uses an 8 megapixel camera situated atop a building in Downtown Brooklyn to quantify the dynamics of New York City by capturing one panoramic, long-distance image of Lower and Midtown Manhattan every 10 seconds. These observations differ from those of a satellite due to the fixed urban vantage point, which offer an unchanging perspective, with easy and low cost operations. Techniques adapted from astronomy are used to analyze the images.

Strict protocols have been observed to protect the privacy of those individuals in the field of view – no more than a few pixels cover the closest sources in the scene and images are significantly blurred to ensure that no personal detail is ever captured. Additionally, all analyses have been performed at the aggregate level and any human inspection has been done without the knowledge of the precise location of the source.

CUSP’s Urban Observatory seeks high impact science and applications to enhance public well-being, city operations, and future urban design and combines correlative data including administrative records, original measurements, and current topography. Although the technology is currently being used to solely observe New York City, CUSP hopes to share this with other major cities, such as London, Chicago, and Hong Kong, for similar use and application.

A team of CUSP scientists have been working on this technology for almost two years. Data will be made available for analysis by CUSP personnel and others by proposal.

The upper panel shows a single snapshot of Midtown and the Lower East Side of Manhattan at roughly 11:00AM.  Although difficult to see with the naked eye, the image contains two exhaust plumes generated by one of the buildings in the scene.  The processed image in the bottom panel removes the objects which are constant (like buildings) and keeps only objects which are moving (like the plumes).  With this technique, the Urban Observatory's data processing algorithms are able to extract the location of the faint emission plumes.
The upper panel shows a single snapshot of Midtown and the Lower East Side of Manhattan at roughly 11:00AM. Although difficult to see with the naked eye, the image contains two exhaust plumes generated by one of the buildings in the scene. The processed image in the bottom panel removes the objects which are constant (like buildings) and keeps only objects which are moving (like the plumes). With this technique, the Urban Observatory’s data processing algorithms are able to extract the location of the faint emission plumes.

 

About New York University’s Center for Urban Science & Progress

CUSP is an applied science research institute created by New York University with a consortium of world-class universities and the foremost international technology companies to address the needs of cities. At the heart of its academic program, CUSP will investigate and develop solutions to the challenges that face cities around the world.  This research will make CUSP the world’s leading authority in the emerging field of “urban informatics”.  For more news and information on CUSP, please visit http://cusp.nyu.edu/.

 

Contact
Kim Alfred, CUSP
917.392.0859
kim.alfred@nyu.edu

Megan Romano, The Marino Organization
212.889.0808
megan@themarino.org

 

CUSP Research Seminar Series: Dr. Aaditya Rangan

October 29, 2014 – October 29, 2014

1 MetroTech Center

View MapMap and Directions | Register

Description:

A common problem in data analysis – including machine learning and genomics – is to detect, within a large array, small submatrices which are ‘structured’ in some way.Such submatrices, called ‘biclusters’ can represent a subset of features shared across a subset of images, or a subsets of genes that are coexpressed across a subset of the patient population. In this talk I will discuss some of the challenges associated with biclustering, and provide an algorithm that overcomes most of these challenges.

Bio

Dr. Aaditya V Rangan is an Assistant Professor at the Courant Institute of Mathematical Sciences, NYU. He received his PhD in Mathematics from the University of California, Berkeley. His research interests lie in large – scale scientific modeling of physical, biological and neurobiological phenomena and the development of efficient numerical methods and related analysis.

Register

AAAI 2015 Workshop on AI for Cities

Almost half of humanity today lives in urban environments and that number will grow to 80% or more by the middle of this century in different parts of the world. Cities are thus the loci of resource consumption, economic activity, social interactions, and education and innovation; they are the cause of our looming sustainability problems but also where those problems must be solved. Cities are also an enormous forum for policy making, as well as an apparently unbounded source of digital data of a wide nature. Artificial Intelligence has the potential to play a central role in tackling the underlying hard computational, decision making, and statistical problems of cities.

With this in mind, CUSP has proposed a worskshop to bring together AI researchers who work on urban informatics and domain experts from city agencies in order to: i) identify and characterize the prototypical AI problems that cities face, ii) discuss data access, open platforms, and dissemination of information, iii) present recent research in this nascent subfield, and iv) strengthen the path from research to decision and policy making. The workshop will be held on January 25-26, 2015, in Austin, Texas.

Topics include

  • Spatiotemporal inference of urban processes (social or natural)
  • Energy consumption/disaggregation models of large urban areas
  • Planning/Scheduling for city operations
  • Decision making for urban science and for city policy
  • AI models of transportation and utilities networks
  • Resource allocation in urban systems
  • Event detection of urban activity and processes
  • Active learning, sampling biases and dataset shift in city data
  • Multi-agent simulations of urban processes
  • Visualization and city operational systems
  • Cross-city comparative analysis
  • Improving public health systems in cities
  • Crowdsourcing for urban science and decision making
  • Open data platforms and data access tools for data science

Preliminary Agenda

09:00 – 09:10  -  Introduction and opening remarks
09:10 – 09:40  -  Invited talk – Juliana Freire, NYU Polytechnic School of Engineering
09:40 – 10:10  -  Invited talk – Autonomous Machines and Robots in Cities – Manuela Veloso, CMU
10:10 – 10:30  -  Coffee Break
10:30 – 11:00  - Invited talk – Adi Botea, IBM
11:00 – 11:30  -  Invited talk – Craig Knoblock, USC
11:30 – 12:30  -  Lunch Break
12:30 – 01:00  -  Invited Talk – Mike Flowers, NYU CUSP
01:00 – 03:00  -  Paper Presentations
03:00 – 03:30  -  Data access – city data portals, initiatives, and restrictions
03:30 – 04:00  -  Coffee Break
04:00 – 04:30  -  Data access – city data portals, initiatives, and restrictions
04:30 – 05:00  -  Open discussion and concluding remarks
05:00 – 06:00  -  Social event

Submission Requirements

Papers must be formatted in AAAI two-column, camera-ready style. Regular research papers (submitted and final), presenting a significant contribution, may be no longer than 7 pages, with page 7 including only references. Short papers (submitted and final), describing a position on the topic of the workshop or a demonstration/tool, may be no longer than 4 pages, including references.

CUSP is offering two awards of up to $1,000 each in travel reimbursements for students who are lead authors on papers contributed to the workshop.

Submissions are to be made online at https://easychair.org/conferences/?conf=ai4cities. We request that interested authors log in and submit abstracts as an expression of interest before the final deadline.

Important Dates

11/09/2014  -  Paper Submission deadline
11/14/2014  -  Notification of decisions
11/25/2014  -  Camera-ready due

Organizing Committee

Theo Damoulasdamoulas@nyu.edu
Research Assistant Professor, New York University, Center for Urban Science and Progress (CUSP)
Brooklyn, USA

Biplav Srivastavasbiplav@in.ibm.com
Senior Researcher, IBM Master Inventor, IBM Research
New Delhi, India

Sheila McIraithsheila@cs.toronto.edu
Professor of Computer Science, Department of Computer Science, University of Toronto
Toronto, Canada

Freddy Lecuefreddy.lecue@ie.ibm.com
Research Scientist, IBM Research, Smarter Cities Technology Center
Dublin, Ireland

Program Committee

Sarah Bird (Microsoft Research, USA)
Alex Chohlas-Wood (NYPD, USA)
Philippe Cudre-Mauroux (University of Fribourg, CH)
Mathieu d’Aquin (Open University, UK)
Bistra Dilkina (Georgia Tech, USA)
Greg Dobler (NYU CUSP, USA)
Harish Doraiswamy (NYU, USA)
Stefano Ermon (Stanford University, USA)
Maurizio Filippone (University of Glasgow, UK)
Rebecca Hutchinson (Oregon State University, USA)
Rishee Jain (Stanford, USA)
Nikos Karampatziakis (Microsoft, USA)
Liakata Maria (University of Warwick, UK)
Charlie Mydlarz (NYU CUSP, USA)
Temitope O Omitola (University of Southampton, UK)
Jeff Pan (Univ. of Aberdeen, UK)
Kostas Pelechrinis (University of Pittsburgh, USA)
Alessandro Perina (Italian Institute of Technology, ITA)
Justin Salamon (NYU CUSP, USA)
Daniel Sheldon (UMass Amherst, USA))
Vasilis Syrgkanis (Microsoft Research, USA)
Ravi Shroff (NYU CUSP, USA)
Vasileios Stathopoulos (UCL, UK)
Huy T. Vo (NYU CUSP, USA)
Yuxiang Wang (Carnegie Mellon University, USA)
Hong Yang (NYU CUSP, USA)
Arkaitz Zubiaga (University of Warwick, UK)

Related Work

Workshop on Semantics for Smarter Cities
In conjunction with 13th International Semantic Web Conference (ISWC 2014)
Payam Barnaghi, Jan Holler, Biplav Srivastava, John Davies, John Breslin, and Tope Omitola
Riva del Garda, Italy – 20 October, 2014

Workshop on Semantic Cities
In conjunction with Association for the Advancement of Artificial Intelligence conference (AAAI-14)
Mark Fox, Freddy Lecue, Sheila McIlraith, Biplav Srivastava and Rosario Usceda-Sosa
Québec City, Québec, Canada – July 27-31, 2014

Workshop on Inclusive Web Programming – Programming on the Web with Open Data for Societal Applications
In conjunction with 36th International Conference on Software Engineering
Biplav Srivastava and Neeta Verma
Hyderabad, India – May 31-June 4, 2014

Workshop on Semantic Cities
In conjunction with International Joint Conference on Artificial Intelligence (IJCAI-13)
Freddy Lecue Biplav Srivastava, and Ziaqing Nie
Beijing, China – Aug 3-5, 2013

The Semantic Smart City Workshop (SemCity-13)
In conjunction with International Conference on Web Intelligence, Mining and Semantics (WIMS-13)
Tope Omitola, John Breslin, Biplav Srivastava, and John Davies
Madrid, Spain – June 12-14, 2013

Workshop on Semantic Cities
In conjunction with 26th Conference of Association for Advancement of Artificial Intelligence (AAAI-12)
Biplav Srivastava, Freddy Lecue, and Anupam Joshi
Toronto, Canada – July 22-26, 2012

AI for an Intelligent Planet
In conjunction with 22nd International Joint Conference on Artificial Intelligence (IJCAI-11)
Biplav Srivastava, Carla Gomes, and Anand Ranganathan
Barcelona, Spain – July 16-22, 2011

Privacy, Big Data, and the Public Good

Privacy, Big Data, and the Public Good

Buy the book here

Massive amounts of new data about people, their movements, and activities can now be accessed and analyzed as never before. Numerous privacy concerns have been raised by use – or misuse – of such data in commercial and national security arenas. Yet we are motivated by the potential for “big data” to be harnessed to serve the public good: scientists can use new forms of data to do research that improves people’s live; federal, state and local governments can use data to improve the delivery of services to citizens; and non-profit organizations can use the information to advance the public good.

Access to big data raises many unanswered questions related to privacy and confidentiality:  What are the ethical and legal requirements for scientists and government officials seeking to serve the public good without harming individual citizens? What are the rules of engagement? What are the best ways to provide access while protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss?

 

CUSP, along with the American Statistical Association and its Privacy and Confidentiality subcommittee and the Research Data Centre of the German Federal Employment Agency, sponsored a book on this very issue, Privacy, Big Data, and the Public Good: Frameworks for Engagement.  Published by Cambridge University Press, this book is an accessible summary of the important legal, economic, and statistical thinking that frames the many privacy issues associated with the use of big data – along with practical suggestions for protecting privacy and confidentiality that can help to guide practitioners.

The book launch, held at the New York Academy of Sciences on July 16th, included talks and panels by the book’s editors and a number of the authors. You can watch these talks and panels below.

Editors’ Panel

Moderator: Michael Holland
Panelists: Julia Lane, Victoria Stodden, Stefan Bender, Helen Nissenbaum

The editors discuss the motivation for the book and how it contributes to the broader conversation on privacy concerns about big data.  They also briefly highlight the contribution of authors who were unable to participate in the event.

Panel 1: Law, Ethics, and Economics of Big Data

Moderator: Jake Bournazian
Panel: Helen Nissenbaum, Kathy Strandburg, Victoria Stodden

Authors discuss the fact that “big data” is more than a straightforward change in technology.  It poses deep challenges to our traditions of notice and consent as tools for managing privacy.  Because our new tools of data science can make it all but impossible to guarantee anonymity in the future, is it possible to truly give informed consent, when we cannot, by definition, know what the risks are from revealing personal data either for individuals or for society as a whole?

Presentations:

Panel 2: Practical Concerns of Working with Big Data

Moderator: Julia Lane
Panelists: Bob Goerge, Daniel “Dazza” Greenwood, Carl Landwehr

Based on their experience building large data collections, authors discuss some of the best practical ways to provide access while protecting confidentiality.  What have we learned about effective engineered controls?  About effective access policies?  About designing data systems that reinforce – rather than counter – access policies?  They also explore the business, legal, and technical standards necessary for a new deal on data.

Presentations:

Panel 3: Statistical Framework: Issues & Practical Responses

Moderator: Stefan Bender
Panelists: Frauke Kreuter, Jerry Reiter, Peter Elias

Since the data generating process or the data collection process is not necessarily well understood for big data streams, authors discuss what statistics can tell us about how to make greatest scientific use of this data. They also explore the shortcomings of current disclosure limitation approaches and whether we can quantify the extent of privacy loss.

Presentations:

Capstone Speaker: Theresa Pardo

Our capstone speaker is the Director of the Center for Technology in Government at the University at Albany, the Open NY Policy Advisor for Open.NY.Gov, and the President of the Digital Government Society.  She shows us how “big data” can be harnessed to serve the public good by presenting a guide for making information in the public sector more available and more usable.

Presentations:

Paul Glimcher

Beyond The Quantified Self: The World’s Largest Quantified Community

So-called “smart” cities and communities are sprouting around the world, from the urban laboratory that is the Spanish port city of Santander to a huge residential energy research project that has been running for years in Austin, Texas.

Now a new “quantified community” built from scratch is about to take shape, and it’s on the biggest stage yet: The Hudson Yards, the largest private real estate project ever in the United States, which is slated for construction on Manhattan’s underdeveloped West Side beginning this year.

Hudson Yards to become first ‘quantified community’

New York University is teaming up with the developers of the Hudson Yards in the hopes big data collected from the future 28-acre complex will help it run more efficiently and make it a better place to live and work.

New York University’s Center for Urban Science and Progress announced Monday that the mixed-use neighborhood being built over a Long Island Railroad yard on the far West Side of Manhattan will be the first “quantified community” in the entire country, meaning the university, in concert with Related Cos. and Oxford Properties Group, will collect information on pedestrian traffic, air quality, energy production and consumption and even the health and activity levels of workers and residents.

NYU CUSP, Related Companies, and Oxford Properties Group Team Up to Create “First Quantified Community” in the United States at Hudson Yards

New York University’s Center for Urban Science and Progress (CUSP) today announced that it will partner with Related Companies and Oxford Properties Group to create the nation’s first “Quantified Community” – a fully-instrumented urban neighborhood that will measure and analyze key physical and environmental attributes at Hudson Yards.

This “Quantified Community” will create an interactive, data-driven experience for tenants and owners of the 28 acre mixed-use development now being built on Manhattan’s West Side. In line with the development’s overall aim of improving operational efficiencies, productivity, and quality of life, CUSP will use the data to help New York City – and, ultimately, cities across the world – become more productive, livable, equitable, and resilient. Related and Oxford will use the data to continually improve the worker, resident, and visitor experience, while also making the neighborhood more efficient.

CUSP and Related/Oxford are still developing the final list of attributes that will be measured in Hudson Yards, but examples include:

  • Measuring, modeling, and predicting pedestrian flows through traffic and transit points, open spaces, and retail space.
  • Gauging air quality both within buildings and across the open spaces and surrounding areas.
  • Measuring health and activity levels of residents and workers using a custom-designed, opt-in mobile application.
  • Measuring and benchmarking solid waste with particular focus on increasing the recovery of recyclables and organic (i.e. food) waste.
  • Measuring and modeling of energy production and usage throughout the project, including optimization of on-site cogeneration plant and thermal microgrid.

Dr. Constantine Kontokosta, PE, Deputy Director & Head of the Quantified Community initiative at CUSP said, “The Quantified Community will create a unique experimental environment that provides a testing ground for new physical and informatics technologies and analytics capabilities, which will allow for unprecedented studies in urban engineering, urban systems operation, and planning, and the social sciences. Given the scale and significance of Hudson Yards, we believe that our partnership with Related will help to create a model for future sustainable, data-driven urban development.”

Jay Cross, President of Related Hudson Yards said,The ability to conceive of and develop an entirely new neighborhood creates tremendous opportunities. Hudson Yards will be the most connected, measured, and technologically advanced digital district in the nation. Our cutting-edge commercial tenants are drawn to Hudson Yards for its state-of-the-art infrastructure featuring unprecedented wired, wireless, broadband, and satellite connectivity; and energy optimization through on-site power generation and central waste systems. Through our partnership with CUSP we will harness big data to continually innovate, optimize and enhance the employee, resident, and visitor experience.”

Dr. Steven Koonin, Director of CUSP said, “This partnership between Hudson Yards and CUSP is successful because Related and Oxford understand the importance of sensor-enriched environments in creating the most efficient and livable cities of the future. CUSP aims to be a leader and innovator in the emerging field of ‘Urban Informatics’ – the observation, analysis, and modeling of cities – and our first Quantified Community at Hudson Yards is a great step toward this goal. CUSP is extremely grateful for this partnership and we look forward to working with them as this project continues to take shape.”

 

About New York University’s Center for Urban Science & Progress
CUSP is an applied science research institute created by New York University with a consortium of world-class universities and the foremost international technology companies to address the needs of cities. At the heart of its academic program, CUSP will investigate and develop solutions to the challenges that face cities around the world.  This research will make CUSP the world’s leading authority in the emerging field of “urban informatics”.  For more news and information on CUSP, please visit http://cusp.nyu.edu/.

 

About Hudson Yards

Hudson Yards, developed by Related Companies and Oxford Properties Group, is the largest private real estate development in the nation’s history and the largest development in New York City since Rockefeller Center. Hudson Yards will be a hub of connectivity, community, culture, and creativity. It is anticipated that more than 24 million people will visit Hudson Yards every year. The site itself will include 17 million square feet of commercial and residential space, more than 100 shops and restaurants, approximately 5,000 residences, Culture Shed, 14-acres of public open space, a new 750-seat public school and a 150-room luxury hotel – all offering unparalleled amenities for residents, employees, and guests. The development of Hudson Yards will create more than 23,000 construction jobs, and when completed in 2024, more than 40,000 people a day will either work in or call Hudson Yards their home. For more information on Hudson Yards please visit http://www.hudsonyardsnewyork.com/

 

Media Contacts:

Kim Alfred, CUSP - 917.392.0859

kim.alfred@nyu.edu

Joanna Rose, Related Companies - 212.801.3902

jrose@related.com

Elizabeth Latino, The Marino Organization - 212.889.0808

elizabeth@themarino.org

Huge New York Development Project Becomes a Data Science Lab

Hudson Yards is a huge estate development project, the largest in New York since Rockefeller Center. It is to include office towers, apartments, shops, a luxury hotel, a public school and acres of public space. Construction began at the end of 2012, and has picked up recently.

But the sprawling development on Manhattan’s West Side, built on top of old rail yards along the Hudson River, will also become an urban laboratory for data science. The developers, Related Companies and Oxford Properties Group, are teaming up with New York University’s Center for Urban Science and Progress to create a “quantified community.”

Testimonial Interview (English) – Pablo Garcia

Testimonial Interview – Tucker Reed

Testimonial Interview (Spanish) – Pablo Garcia

Testimonial Interview – Nancy Suski

Testimonial Interview – Kenneth Daly

Testimonial Interview – Jennifer Chayes

Testimonial Interview – Gillian Small

Testimonial Interview – Frances Resheske

The Promise of Urban Informatics

2013 Fall Open House

August 2013 City Challenge Week

April 2013 Open House

Transatlantic Science Forum Conference at NYU CUSP – Part 1

Transatlantic Science Forum Conference at NYU CUSP – Part 2

Transatlantic Science Forum Conference at NYU CUSP – Part 3

January 2014 Transatlantic Science Forum

Justin Salamon

Gregory Dobler

Huy Vo

Kaan Ozbay

Theo Damoulas

Steven Koonin’s Growing Army of Big-Data Wizards is out to Make New York a Better City

Forget the ivory tower. Some new college programs launching in New York are tied into improving city life and boosting the economy. For example, Steven Koonin, director of New York University’s Center for Urban Science and Progress (CUSP), located in MetroTech in Brooklyn, is on the cutting edge of using big data to create jobs in New York in the private sector and government.

Launched in April 2012, CUSP currently is on target to graduate 24 master’s-degree students next year. But in the next decade, the program is primed to grow and graduate 500 master’s and doctoral students.

Koonin, a native New Yorker, has strong credentials. He served as under secretary at the Department of Energy from 2009 through 2001. He’s also been associated with the Institute for Defense Analyses and has a bachelor of science from Caltech and a doctorate from MIT.

In this question-and-answer session, Koonin discusses how CUSP works with government, what skills its graduates possess and how it’s on the cutting edge.

Foued Aouchette

A School Devoted Entirely to the ‘Science of Cities’

The Center for Urban Science and Progress, a new research center that recently welcomed its first students and faculty in downtown Brooklyn, certainly has its eyes on the city. The ceiling-high windows of the main office track New York’s sites and skyscrapers for miles — even catching a glimpse of the Statue of Liberty. One long wall of an entire room is lined with dozens of flatscreen panels that will soon display the loads of urban data the center was created to capture.

“It’s real fun to be living in the middle of something you’re trying to study at the same time,” says Steven Koonin, the center’s director. “That’s why we’re here with that view.”

Big Data 101: How Higher Ed Is Teaching Data Science

There’s little garnering more buzz today than Big Data. But there are clues that Big Data is more than just the latest technology fad. One such indicator is theIBM Academic Initiative.

Big Blue has partnered with more than 1,000 universities around the world to create academic opportunities for students interested in studying data analytics. Ranging from assistance in developing stand-alone courses to the creation of entire ­degree programs with schools of business or engineering,IBM’s involvement telegraphs the importance of Big Data to the future of ­computing.

“When you have to create data, store it, manage it, distribute it and then build models that predict the future from it, that’s IBM’s business,” says Jurij R. Paraszczak, leader of the company’s Research Smarter Cities program.

“If data science works, and we think it will, it will create an ­entirely new ability for computation,” ­Paraszczak says.

New York University’s Center for Urban Science and Progress (CUSP) was developed in partnership with IBM for input and guidance from its Smarter Cities program and several other academic and industrial partners, in response to New York City Mayor Michael Bloomberg’s request for proposals for the ­Applied ­Sciences NYC initiative.

The Promise of Urban Informatics (Video)

Director, Dr. Steve Koonin gives an overview of the Center for Urban Science & Progress (CUSP).
 Read more

Hottest Job of the 21st Century? Bet on This

Data Scientists have been named the sexiest job of the 21st century, and are so in demand that there won’t be enough of them to fill every position by 2018, according to a report by McKinsey Global Institute.
With the amount of volume and variety of data churned out by businesses, consumers and governments today, it’s no surprise that data science and analytics are slowly becoming a regular part of company positions as well as school curriculums.

A new master’s program at New York University will apply technology to urban problems such as traffic congestion and utility grids. Classes will be held in the new Center for Urban Science and Progress, also known as CUSP. NYU says half the world population lives in cities, so CUSP will be dedicated to analyzing data to understand and improve city living conditions.

Constantine E. Kontokosta

Steve Koonin speaks at DataGotham 2012

DataGotham was a celebration of New York City’s data community, bringing together professionals from finance to fashion and from startups to the Fortune 500. The day-and-a-half event consisted of intense discussion, networking, and sharing of wisdom, taking place on September 13th – 14th at NYU Stern’s Paulson auditorium. Steve Koonin was invited to discuss his view of a connected city, as well as to discuss the newly formed Center for Urban Science and Progress (CUSP).