Podcasts about decision systems

You can't afford rigid systems in a world that moves fast, but also, for a long time at least, you couldn't afford agile systems in a more dollars and cents sort of way. But these days you can.Timvero's solutions are all laid out at https://timvero.com/ or head towards a demo by jumping straight to https://timvero.com/request-a-demo/ You're welcome to start a discussion with Dmitriy over on LinkedIn https://www.linkedin.com/in/dmitriy-wolkenstein-7a19b79a/ And while you're there, come and find and connect at https://www.linkedin.com/in/brendanlegrangeAs mentioned more than once in this episode, my action-adventure novels are on Amazon, some versions even for free, and my work with ConfirmU and our gamified psychometric scores is at https://confirmu.com/ and on episode 24 of this very show https://www.howtolendmoneytostrangers.show/episodes/episode-24If you have any feedback or questions, or if you would like to participate in the show, please feel free to reach out to me via the contact page on this site.Keep well, Brendan Hosted on Acast. See acast.com/privacy for more information.

Maryam Darvish is an associate professor in the Department of Operations and Decision Systems at Université Laval in beautiful Quebec City. Her research focuses on applying OR tools and techniques to solve real-world problems, mainly to develop methods to improve the supply chain's economic and environmental efficiency. She is an active member of the Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT). She has published and worked on several projects with CIRRELT members. Her papers are mainly published in EJOR, IJPE, TRE, and IJPR. She is also a co-founder of MobilOpt, a research group founded in collaboration with Leandro Coelho and Jacques Renaud in 2020 at FSA, ULaval, dedicated to mobility optimization. Maryam is the recipient of several research and teaching medals from her faculty and the student association of the faculty. She is from Iran and did her undergraduate and Master's studies there, but she has lived and studied in several countries

Greg Dolan has over a decade of experience as a brand marketing executive. He co-founded Keen to give marketers a tool that could “help them make smarter decisions about how to drive their brand forward by using future-focused metrics that are directly tied to financial performance.”  In this episode, Alan and Greg discuss how the work Keen is doing impacts marketing performance across the industry, what the data tells us about long help best practices, and why so many companies are working to strengthen first-party data relationships.  In this episode, you'll learn:  How companies should think about marketing in a downturn or recession Greg's take on the reach versus targeting debate and what the data tells us The importance of demonstrating the financial value of a marketing decision   Key Highlights  [01:20] Greg's other full-time job [02:50] How Greg became CEO at Keen [04:00] What Keen does  [06:50] Why marketers need to look at performance across all channels  [10:20] What should marketers be thinking about when operating in a down economy [15:00] Understanding the objective of the brand and how that frames decision making  [15:55] What Keen is seeing with reach versus targeting  [17:45] The rise of AI and machine learning in creative and marketing decision making [19:50] What the data says about the 60/40 long-term/short-term rule of thumb [22:55] How Keen is helping marketers transition from direct measurement to inference [25:45] Two examples of why you need to consider diversification in measurements [28:15] How persevering through adversity made Greg a better entrepreneur  [30:00] The benefits of slowing down  [31:15] Why organizations need to shift to a holistic strategic perspective  [35:50] Embracing AI technology to win in the long term [36:50] The need of being able to demonstrate the financial value of  marketing  Resources Mentioned:  Greg Dolan  Keen Decision Systems  Results of maintaining marketing in a downturn  Byron Sharp on Marketing Today  Binet & Fields, The Long and Short of It (research)  Uber Ad Fraud Case covered on Marketing Today with former Uber Executive   Follow the podcast:  Listen in iTunes (link: http://apple.co/2dbdAhV)  Listen in Google Podcasts (link: http://bit.ly/2Rc2kVa)  Listen in Spotify (Link: http://spoti.fi/2mCUGnC)   Connect with the Guest:  https://www.linkedin.com/in/gregdolan/  https://twitter.com/gdolan7473  https://twitter.com/keen_decisions   Connect with Marketing Today and Alan Hart:  Twitter Alan B Hart - http://twitter.com/abhart  LinkedIn Alan  - https://www.linkedin.com/in/alanhart  Twitter Marketing Today - http://twitter.com/themktgtoday  Facebook Marketing Today - https://www.facebook.com/themktgtoday/  LinkedIn Marketing Today - https://www.linkedin.com/company/marketing-today-with-alan-hart/  Support the show: https://www.patreon.com/marketingtodaySee omnystudio.com/listener for privacy information.

In this episode of Future of Humanity, we will be talking about AI in Medicine with Ritu Agarwal and Gordon Gao, both professors at the University of Maryland who are moving on to Johns Hopkins University. Ritu and Gordon have a long successful history of doing research on the interface of technology and medicine and are experts on AI in Medicine. They run the Center for Health Information and Decision Systems, and the Healthcare Insights AI Lab which conducts empirical as well as behavioral research on the impact of AI in medicine. In the podcast, they highlight places where Artificial Intelligence can take over medicine and hospital management, and cases where AI can only play a human augmenting role.  

Shep Bostin is an Enterprise Architect for Hewlett Packard Enterprise (HPE) working with Systems Integrators focused on the public sector. As an Enterprise Architect, Shep is responsible for designing technology solutions that support and align with customers' organizational missions, technology strategies, and IT processes. He has more than 30 years of IT experience in systems engineering, product management and marketing, and technical presales for hardware and software manufacturers. Shep holds a Bachelor of Science degree, with honors, in Information and Decision Systems from Carnegie Mellon University and is a graduate of Phillips Academy at Andover.Doug Wolfe is currently a Vice President and General Manager for Jacobs. He served as the CEO of BlackLynx from March 2018 until November 2021 when Jacobs acquired BlackLynx.  BlackLynx is an industry leader in delivering high performance computing and cloud infrastructure services to the government, and Wolfe is continuing to enhance and deliver mission-critical capabilities in his new position. A recognized federal government leader, Doug Wolfe served 33 years with the CIA, his last position being Deputy Director of the Science and Technology Directorate. He retired from federal service in December 2017. Wolfe served as Chief Information Officer (CIO) at the CIA from 2013 to 2016, in charge of Agency Information Technology (IT) vision and strategic direction, along with advising the Intelligence Community (IC).Throughout his career, Wolfe held multiple CIA positions, among them were Deputy Director for Acquisition, Technology, and Facilities at the Office of the Director of National Intelligence (ODNI); Deputy Director of the Office of Global Access (OGA), and program manager overseeing the end-to-end system acquisition of an innovative new source and method for the Intelligence Community. Wolfe holds a bachelor's degree in mechanical engineering from the University of Southern California, and a master's degree in system engineering from Virginia Tech. 

Our guest Ritu Agarwal, PhD, and Robert H. Smith Dean's Chair of Information Systems and founding director of the school's Center for Health Information and Decision Systems (CHIDS) discusses using digital technology, analytics, and AI to educate the next generation of health IT researchers and executives and leaders. This episode is part of a Health IT series by the AMA-MSS Committee on Health Information Technology, hosted by Kristofer Jackson, Medical student at the University of Toledo College of Medicine.

Many have experienced moments where algorithms have made us uncomfortable or suspicious. In Algorithms and Autonomy: The Ethics of Automated Decision Systems (Cambridge University Press, 2021), Rubel, Phan, and Castro outline the stories of teachers and citizens subject to the criminal justice system who face serious consequences at the hands of algorithms. With a focus on locating the a philosophical touchstone to these harms, the authors look at how ideas of autonomy and freedom are affected by algorithms. When algorithms afford those subject to their decisions no transparency to endorse its use or worse hide responsibility for their decision in a network of actors laundering their own agency, citizens are harmed and democracy is harmed. This book mount a forceful lens of what exactly algorithms in criminal justice, education, housing, elections and beyond can do to autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core. Dr. Alan Rubel is Professor and Director of the Information School at University of Wisconsin Madison.  Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Many have experienced moments where algorithms have made us uncomfortable or suspicious. In Algorithms and Autonomy: The Ethics of Automated Decision Systems (Cambridge University Press, 2021), Rubel, Phan, and Castro outline the stories of teachers and citizens subject to the criminal justice system who face serious consequences at the hands of algorithms. With a focus on locating the a philosophical touchstone to these harms, the authors look at how ideas of autonomy and freedom are affected by algorithms. When algorithms afford those subject to their decisions no transparency to endorse its use or worse hide responsibility for their decision in a network of actors laundering their own agency, citizens are harmed and democracy is harmed. This book mount a forceful lens of what exactly algorithms in criminal justice, education, housing, elections and beyond can do to autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core. Dr. Alan Rubel is Professor and Director of the Information School at University of Wisconsin Madison.  Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/education

Many have experienced moments where algorithms have made us uncomfortable or suspicious. In Algorithms and Autonomy: The Ethics of Automated Decision Systems (Cambridge University Press, 2021), Rubel, Phan, and Castro outline the stories of teachers and citizens subject to the criminal justice system who face serious consequences at the hands of algorithms. With a focus on locating the a philosophical touchstone to these harms, the authors look at how ideas of autonomy and freedom are affected by algorithms. When algorithms afford those subject to their decisions no transparency to endorse its use or worse hide responsibility for their decision in a network of actors laundering their own agency, citizens are harmed and democracy is harmed. This book mount a forceful lens of what exactly algorithms in criminal justice, education, housing, elections and beyond can do to autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core. Dr. Alan Rubel is Professor and Director of the Information School at University of Wisconsin Madison.  Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/economics

Many have experienced moments where algorithms have made us uncomfortable or suspicious. In Algorithms and Autonomy: The Ethics of Automated Decision Systems (Cambridge University Press, 2021), Rubel, Phan, and Castro outline the stories of teachers and citizens subject to the criminal justice system who face serious consequences at the hands of algorithms. With a focus on locating the a philosophical touchstone to these harms, the authors look at how ideas of autonomy and freedom are affected by algorithms. When algorithms afford those subject to their decisions no transparency to endorse its use or worse hide responsibility for their decision in a network of actors laundering their own agency, citizens are harmed and democracy is harmed. This book mount a forceful lens of what exactly algorithms in criminal justice, education, housing, elections and beyond can do to autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core. Dr. Alan Rubel is Professor and Director of the Information School at University of Wisconsin Madison.  Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Many have experienced moments where algorithms have made us uncomfortable or suspicious. In Algorithms and Autonomy: The Ethics of Automated Decision Systems (Cambridge University Press, 2021), Rubel, Phan, and Castro outline the stories of teachers and citizens subject to the criminal justice system who face serious consequences at the hands of algorithms. With a focus on locating the a philosophical touchstone to these harms, the authors look at how ideas of autonomy and freedom are affected by algorithms. When algorithms afford those subject to their decisions no transparency to endorse its use or worse hide responsibility for their decision in a network of actors laundering their own agency, citizens are harmed and democracy is harmed. This book mount a forceful lens of what exactly algorithms in criminal justice, education, housing, elections and beyond can do to autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core. Dr. Alan Rubel is Professor and Director of the Information School at University of Wisconsin Madison.  Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/law

Many have experienced moments where algorithms have made us uncomfortable or suspicious. In Algorithms and Autonomy: The Ethics of Automated Decision Systems (Cambridge University Press, 2021), Rubel, Phan, and Castro outline the stories of teachers and citizens subject to the criminal justice system who face serious consequences at the hands of algorithms. With a focus on locating the a philosophical touchstone to these harms, the authors look at how ideas of autonomy and freedom are affected by algorithms. When algorithms afford those subject to their decisions no transparency to endorse its use or worse hide responsibility for their decision in a network of actors laundering their own agency, citizens are harmed and democracy is harmed. This book mount a forceful lens of what exactly algorithms in criminal justice, education, housing, elections and beyond can do to autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core. Dr. Alan Rubel is Professor and Director of the Information School at University of Wisconsin Madison.  Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Many have experienced moments where algorithms have made us uncomfortable or suspicious. In Algorithms and Autonomy: The Ethics of Automated Decision Systems (Cambridge University Press, 2021), Rubel, Phan, and Castro outline the stories of teachers and citizens subject to the criminal justice system who face serious consequences at the hands of algorithms. With a focus on locating the a philosophical touchstone to these harms, the authors look at how ideas of autonomy and freedom are affected by algorithms. When algorithms afford those subject to their decisions no transparency to endorse its use or worse hide responsibility for their decision in a network of actors laundering their own agency, citizens are harmed and democracy is harmed. This book mount a forceful lens of what exactly algorithms in criminal justice, education, housing, elections and beyond can do to autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core. Dr. Alan Rubel is Professor and Director of the Information School at University of Wisconsin Madison.  Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoices

Many have experienced moments where algorithms have made us uncomfortable or suspicious. In Algorithms and Autonomy: The Ethics of Automated Decision Systems (Cambridge University Press, 2021), Rubel, Phan, and Castro outline the stories of teachers and citizens subject to the criminal justice system who face serious consequences at the hands of algorithms. With a focus on locating the a philosophical touchstone to these harms, the authors look at how ideas of autonomy and freedom are affected by algorithms. When algorithms afford those subject to their decisions no transparency to endorse its use or worse hide responsibility for their decision in a network of actors laundering their own agency, citizens are harmed and democracy is harmed. This book mount a forceful lens of what exactly algorithms in criminal justice, education, housing, elections and beyond can do to autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core. Dr. Alan Rubel is Professor and Director of the Information School at University of Wisconsin Madison.  Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy.

Jean-François Côté is an associate professor in the Department of Operations and Decision Systems at Laval University in Quebec City. He obtained his Ph.D. in Computer Science at the University of Montreal in 2014. During his studies, he worked in the private sector for many companies to solve many different types of operation research problems. His research interests are vast and include combinatorial optimization, stochastic programming, cutting, packing, vehicle routing and scheduling problems. His research has been published in top-tier journals like Operations Research, INFORMS Journal on Computing, Transportation Science and European Journal of Operational Research.

On this episode of The Built in Seattle Podcast, I talked with  Elissa Fink, Board Director and Former CMO at Tableau.For extras from this interview, subscribe to my weekly emailEpisode HighlightsThe joy of building something from nothing in the long-term.Why the Tableau leadership stayed together from startup to IPO.What motivated Elissa to move across the country and take a risk on a startup.Why the Tableau CEO became a student of other tech companies.The common patterns Elissa sees on startup Boards.Why business is more like Poker than Chess.What great Boards do to help operators filter out the noise.How Elissa would build a team if she was starting over.Why "every demand generation touch is a brand touch"How to define a brand based on emotions.The importance of letting people be their true selves.How Elissa answers "What is marketing? Do I need it?"The constant balance between stretching and reinventing.The difference between a good CMO and a great CMO.Guest Bio:As a long time data-driven marketing executive, Elissa Fink retired from Tableau Software as Chief Marketing Officer. She now advises fast-growing companies and serves on multiple boards including Qumolo, Talend, and Pantheon. During her 11 years at Tableau, Elissa led all marketing strategy and execution, from pre-IPO start-up with ~$5 million annual revenue to public enterprise (NYSE:DATA) with $1+ billion in revenue. She knows growth, scale and building disruptive brands. Prior to Tableau, Elissa served in marketing, product management and product engineering executive positions at IXI (now Equifax), Tele Atlas (now Tom-Tom), and other technology companies. She began her career selling advertising for the Wall Street Journal. Elissa holds a BA from Santa Clara University and a MBA in Marketing and Decision Systems from the University of Southern California.Where to follow Elissa:https://twitter.com/elissafinkhttps://www.linkedin.com/in/elissafink/Where to follow Adam:https://www.linkedin.com/in/adamschoenfeld/https://twitter.com/schoenyFeedback? Suggestions on who to interview? Email me anytime - adamseattlepodcast@gmail.com

This episode features Dr. Katia Passerini. She currently serves as the Provost and Executive Vice President at Seton Hall. Passerini previously served as the Collins Distinguished Chair and Dean of the Collins College of Professional Studies at St. John's University. Passerini also served as the dean of the Albert Dorman Honors College at the New Jersey Institute of Technology. She earned a doctoral degree in Information and Decision Systems from George Washington University, a master's degree in economics from the University of Rome II -Tor Vergata, a master's degree in business administration from George Washington University, where she was a Fulbright and Bank of Rome Scholar, and a combined bachelor's/master's degree in political science from LUISS University in Rome. IT For Small Businesses: Managing the Digital Enterprise

Craig Rowlands is the Senior Executive Information Management at Medibank. Craig’s role is to provide thought leadership, aligned with expertise in delivering pragmatic business focus information management solutions whilst leading improvements in the data landscape. Whilst at Medibank, Craig has transitioned Medibank from a legacy data management team to a cloud first data capability based on a DevOps methodology to provide Medibank with the right technology, process and people to achieve its long term aspirational objectives. He has an extensive background in data, commencing in the UK until he moved to Australia in 2011. Whilst in the UK Craig worked for blue chip banking and finance industry leaders such as Barclays, First Direct, GE and Hbos. His first role in Australia was with ANZ as Head of Decision Systems. Craig joined Medibank from Latitude Financial Services (formally GE) where as Head of Data Management he led a large team responsible for data strategy & design, data governance and business intelligence reporting. Quotes: "You reach a crossroad in your career as an analysts where you either stay true to yourself and be a technician or you move into a leadership position role where you bring others along the journey." "There is so much variety in data today. From the data science world to the reporting world to the information management world and all the roles in there. To become a good leader, my view was I needed to know at least a little bit about each area." "[Helping the customer] is the outcome and the power that data can provide." "So, my philosophy has always been I give them 2 or 3 small wins backed up by 1 big one. We keep the momentum going because that way we can keep the seed funding going." Read the full episode summary here: Episode #121 Enjoy the show! --- Send in a voice message: https://anchor.fm/datafuturology/message

Kim Goodwin, three-time guest on UX Podcast and a person we have huge amounts of respect for joins us at From Business To Buttons to talk about decision systems – Design systems are often a good investment, but do they give the highest rate of return? No says Kim, changing how we make decisions gives... The post #221 Decision systems with Kim Goodwin appeared first on UX Podcast.

David brings a successful track record of executive leadership at growing both private and public venture-backed companies and has been a pioneer in online marketing since 1997. Before TruSignal, David joined eBureau in December 2007, spearheading strategic business and product development efforts. In his previous role as general manager and SVP, marketing analytics at Adteractive, David managed a team of 45 people, spanning all of Adteractive's business units. Under his leadership, Adteractive became one of the fastest growing private companies in America and a leader in online lead generation. Prior to Adteractive, David held executive roles at Drugstore.com and NextCard, Inc, where he was responsible for product management and customer acquisition. David began his career as a software engineer at Decision Systems, a research and development firm focused on voice telephony solutions for the health care industry. David earned a Bachelor of Science in symbolic systems from Stanford University in 1990 and a Master of Business Administration from the Haas School of Business at UC Berkeley.

A shorter episode this time (due to some technical issues) but a good one!  Read the full transcript on the Heinz Marketing Blog starting Mon. 5/14/18  We talk about the importance of: Hiring the right people and enabling them Staying focussed on the mission Respecting the past, respecting the future Continoius measurable improvement Chasing things that excite you and get you up in the morning More about Elissa @elissafink Driven by data. Leading by example. Building authentic brands and communities. And most importantly, creating customers for life. Having joined Tableau Software in 2007, Elissa Fink has served as CMO through its rise from start-up to a billion dollar enterprise. Tableau is now widely recognized as the leader in data analytics, one of the hottest technology sectors. Prior to Tableau, Elissa was EVP Marketing at IXI Corporation, a firm specializing in marketing technology and now owned by Equifax. She has also served in marketing, product management and product engineering executive positions at Tele Atlas, a multi-national map data company now owned by Tom-Tom, TopTier Software (now SAP), and Claritas (now Nielsen). She began her career selling advertising for the Wall Street Journal. Elissa holds a BA from Santa Clara University and a MBA in Marketing and Decision Systems from the University of Southern California.

Last month, Ajit Pai, the Trump-appointed chairman of the Federal Communications Commission, made good on a promise to repeal Obama- era regulations that governed the internet. By a vote of 3-2, the commission ended regulations that required Internet Service Providers to treat all content the same. Before, ISPs couldn’t pick and choose which content loaded fast and which loaded more slowly, or not at all, nor could they charge a premium for faster service.Why is this important? Midday's guests today have given this subject a lot of thought. Deb Tillett joins Tom Hall in Studio A. She’s the executive director of the Emerging Technologies Center, an incubator for tech startups here in Baltimore. Brandi Collins is the Senior Campaign Director for Color of Change, the nation’s largest online racial justice organization. She oversees that organization’s Media, Democracy and Economic Justice department. She’s on the line from Oakland, California.Ritu Agarwal is a professor, senior associate dean for research, and the Dean’s Chair of Information Systems at the University of Maryland Robert H. Smith School of Business. She is also the founder and director of the school’s Center for Health Information and Decision Systems. She joins us from her office in College Park.

Ketan Savla is an assistant professor in the Sonny Astani Department of Civil and Environmental Engineering at the University of Southern California. Before joining USC, he was a research scientist in the Laboratory for Information and Decision Systems at MIT. He received his Ph.D. from the University of California, Santa Barbara. His current research interests are in distributed control and estimation of dynamical networks, state-dependent queuing systems and distributed control of mobile agents. The growth in travel demand is set to exceed rate of capacity expansion of our transportation infrastructure. Therefore, a majority of our transportation system is expected to operate at or near its capacity in the near future, and hence more vulnerable to disruptions. This, in combination with higher penetration of smart technology, is expected to induce severe dynamics from users and transportation controllers at multiple scales. It is therefore imperative to develop methodologies to model and control dynamical effects for real-time as well as long-term planning purposes. In this talk, we present our results on stability and robustness properties of dynamical urban transportation networks. The dynamical models consist of mass conservation on the links and flow conservation on the nodes. The routing of flow at the nodes is a result of a combination of driver route choice behavior and real-time control such as adaptive traffic signal control. We present a novel class of routing principles that use only local information for their implementation, and yet can be shown to be maximally stabilizing in presence of minor temporary disturbances and maximally robust towards severe and persistent disruptions. We particularly highlight the role of cascading effects in our analysis. Finally, we propose simple metrics for robustness of transportation networks in terms of network structure, travel demand, route choice and capacity, which are relevant for planning purposes.