This document discusses using data to make systems more predictive rather than just reactive. It notes that predictability hints at the existence of natural laws that have yet to be discovered. It also provides some examples of how data is currently used for tasks like capacity planning, emergency response, traffic flow analysis, budget planning, crime prevention and education. Finally, it outlines how building trust through transparency, accountability and reducing friction can help enable innovative uses of data.
Opening the Door to Multimodal Applications - Creation, Maintenance, and Appl...Sean Barbeau
Full 2017 TRB paper at http://bit.ly/TRB2017-GTFS.
The General Transit Feed Specification (GTFS) describes fixed-route public transportation service to facilitate integration of transit information into various applications. The purpose of this report is to provide an overview of the opportunities to use GTFS for many different types of information services for the general public as well as internal agency operations. Many opportunities exist to create new services based on GTFS data — either to provide transit information through a greater range of delivery formats (e.g., new mobile transit applications), or to provide new ways of understanding and using transit information (e.g., for planning and analysis purposes).
For transit agencies that are not openly sharing their data, this report will inform decisions on prioritizing and justifying investments in open data initiatives surrounding GTFS.
For transit agencies that already provide open access to their GTFS data, this report will assist the agency in maximizing their investment in GTFS data by showcasing examples of many new types of applications that utilize the same GTFS data they are already producing.
For Departments of Transportation, Metropolitan Planning Organizations, and other intermodal agencies, this report will assist them in understanding the current state-of-the-art in public transportation information and will help them integrate this data into intelligent transportation systems (ITS) and multimodal traveler information systems.
Using Data Analytics to Conduct a Forensic AuditFraudBusters
Webinar series from FraudResourceNet LLC on Preventing and Detecting Fraud Using Data Analytics. Recordings of these Webinars are available for purchase from our Website fraudresourcenet.com
This Webinar focused on fraud detection using data analytic software (Excel, ACL, IDEA)
FraudResourceNet (FRN) is the only searchable portal of practical, expert fraud prevention, detection and audit information on the Web.
FRN combines the high quality, authoritative anti-fraud and audit content from the leading providers, AuditNet ® LLC and White-Collar Crime 101 LLC/FraudAware.
The two entities designed FRN as the “go-to”, easy-to-use source of “how-to” fraud prevention, detection, audit and investigation templates, guidelines, policies, training programs (recorded no CPE and live with CPE) and articles from leading subject matter experts.
FRN is a continuously expanding and improving resource, offering auditors, fraud examiners, controllers, investigators and accountants a content-rich source of cutting-edge anti-fraud tools and techniques they will want to refer to again and again.
Opening the Door to Multimodal Applications - Creation, Maintenance, and Appl...Sean Barbeau
Full 2017 TRB paper at http://bit.ly/TRB2017-GTFS.
The General Transit Feed Specification (GTFS) describes fixed-route public transportation service to facilitate integration of transit information into various applications. The purpose of this report is to provide an overview of the opportunities to use GTFS for many different types of information services for the general public as well as internal agency operations. Many opportunities exist to create new services based on GTFS data — either to provide transit information through a greater range of delivery formats (e.g., new mobile transit applications), or to provide new ways of understanding and using transit information (e.g., for planning and analysis purposes).
For transit agencies that are not openly sharing their data, this report will inform decisions on prioritizing and justifying investments in open data initiatives surrounding GTFS.
For transit agencies that already provide open access to their GTFS data, this report will assist the agency in maximizing their investment in GTFS data by showcasing examples of many new types of applications that utilize the same GTFS data they are already producing.
For Departments of Transportation, Metropolitan Planning Organizations, and other intermodal agencies, this report will assist them in understanding the current state-of-the-art in public transportation information and will help them integrate this data into intelligent transportation systems (ITS) and multimodal traveler information systems.
Using Data Analytics to Conduct a Forensic AuditFraudBusters
Webinar series from FraudResourceNet LLC on Preventing and Detecting Fraud Using Data Analytics. Recordings of these Webinars are available for purchase from our Website fraudresourcenet.com
This Webinar focused on fraud detection using data analytic software (Excel, ACL, IDEA)
FraudResourceNet (FRN) is the only searchable portal of practical, expert fraud prevention, detection and audit information on the Web.
FRN combines the high quality, authoritative anti-fraud and audit content from the leading providers, AuditNet ® LLC and White-Collar Crime 101 LLC/FraudAware.
The two entities designed FRN as the “go-to”, easy-to-use source of “how-to” fraud prevention, detection, audit and investigation templates, guidelines, policies, training programs (recorded no CPE and live with CPE) and articles from leading subject matter experts.
FRN is a continuously expanding and improving resource, offering auditors, fraud examiners, controllers, investigators and accountants a content-rich source of cutting-edge anti-fraud tools and techniques they will want to refer to again and again.
SmartLaw Pte Ltd to make legal services accessible to anyoneITEC
SmartLaw Pte Ltd Founder CEO Dr Anton Ravindran’s entrepreneurial ventures started nearly two decades ago. “After working for some of the leading global MNCs in the tech world, I took the plunge to pursue my passion/interests,” he said. Since then, he has been part of the start-up ecosystem in the region.
Management Override: Common Tactics and How to Audit For Red FlagsFraudBusters
Webinar series from FraudResourceNet LLC on Preventing and Detecting Fraud in a High Crime Climate. Recordings of these Webinars are available for purchase from our Website fraudresourcenet.com
This Webinar focused on the subject in the title
FraudResourceNet (FRN) is the only searchable portal of practical, expert fraud prevention, detection and audit information on the Web.
FRN combines the high quality, authoritative anti-fraud and audit content from the leading providers, AuditNet ® LLC and White-Collar Crime 101 LLC/FraudAware.
Discussion on how Certified Fraud Examiners (CFE's) can utilize Security Analytics to improve data security, compliance, and productivity within organizations.
Highlights include:
Employee Fraud Trends
Data Security Trends
Compliance Trends
Productivity Loss
Tools
Financial Needs
BYOD
ROAR
Litigation
Spoliation
SmartLaw Pte Ltd to make legal services accessible to anyoneITEC
SmartLaw Pte Ltd Founder CEO Dr Anton Ravindran’s entrepreneurial ventures started nearly two decades ago. “After working for some of the leading global MNCs in the tech world, I took the plunge to pursue my passion/interests,” he said. Since then, he has been part of the start-up ecosystem in the region.
Management Override: Common Tactics and How to Audit For Red FlagsFraudBusters
Webinar series from FraudResourceNet LLC on Preventing and Detecting Fraud in a High Crime Climate. Recordings of these Webinars are available for purchase from our Website fraudresourcenet.com
This Webinar focused on the subject in the title
FraudResourceNet (FRN) is the only searchable portal of practical, expert fraud prevention, detection and audit information on the Web.
FRN combines the high quality, authoritative anti-fraud and audit content from the leading providers, AuditNet ® LLC and White-Collar Crime 101 LLC/FraudAware.
Discussion on how Certified Fraud Examiners (CFE's) can utilize Security Analytics to improve data security, compliance, and productivity within organizations.
Highlights include:
Employee Fraud Trends
Data Security Trends
Compliance Trends
Productivity Loss
Tools
Financial Needs
BYOD
ROAR
Litigation
Spoliation
7. Predictability, therefore,
hints towards the existence
of natural laws that might
not yet have been able to
characterize or discover.
-- Cesar Hidalgo
atlas.media.mit.edu
Predictive Analytics. Knowing what’s going to happen based on what has happened. Science Fiction. Minority Report. Exciting, and creepy.\n
It’s been a big year for predictive analytics. Nate Silver for President!\n
Predictive analytics told us -- long ago -- that an outcome like what happened with Superstorm Sandy was possible, and likely.\n
We are just wrapping our heads around analytics -- and we are perhaps moving from reactive analytics to predictive analytics.\n
Cesar Hidalgo at MIT has done great work in this area -- visualizing connections among data, in order to spot patterns that numbers alone wouldn’t tell us. These patterns are the hints at the underlying “natural law” that is a predictive guide.\n
The “syrup smell” in NYC was an exercise in analytics -- tracing the source of the smell based on the time + location of 311 calls.\n
The million dollar block project shows us where and how much we’re spending on incarceration. This is not predictive, but it’s hugely insightful looking backwards.\n
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San Francisco’s SFpark system can predict when & where it’ll be good to park.\n
Ginger.io can predict when we’ll be depressed, based on other data patterns.\n
There are infinity use cases within cities for better prediction.\n
As always, I like to point to the internet as a guide. The internet has been doing analytics for a while, and there are some lessons to be learned.\n
We see lots of prediction in the ad space. Target famously knew that one customer was pregnant before her family did.\n
Prediction is also a big deal in the area of online fraud. Sift Science can essentially create a “4d fingerprint” that can detect fraud before it occurs.\n
CloudFlare uses predictive algorithms as early warning against denial of service attacks.\n
Deeply embedded in all this is the issue of privacy. Projects like TOS-DR and Collusion are starting to visualize the privacy impacts of analytics.\n
One issue facing the civic info space is authentication & authorization -- oauth has blazed a trail for this that has gained a lot of traction in the private sector.\n
It should be noted that the best approaches to standardization are driven by an outside “magnetic” force -- Google transit’s role in opening up the transit data space is an important case study.\n
Lastly -- we’re at a moment in time where we have new approaches for establishing trust. This is important as we consider how best to regulate this fast moving space. In the old days, adding friction up front was the best way to establish trust. Nowadays -- with information liquidity like never before -- we can take a more “innovation friendly” approach -- using transparency to establish accountability and trust.\n
Lastly -- we’re at a moment in time where we have new approaches for establishing trust. This is important as we consider how best to regulate this fast moving space. In the old days, adding friction up front was the best way to establish trust. Nowadays -- with information liquidity like never before -- we can take a more “innovation friendly” approach -- using transparency to establish accountability and trust.\n