Reflections on government excellence on the anniversary of 9/11

First, a reflection of events from Sep 11, 2001: I was the career deputy advisor for OMB on IT and E-Government issues. On that day, our office was working closely with the Council for Excellence in Government (CEG) to host a meeting of international IT leaders – one of the early meetings of CIOs and equivalent executives from multiple countries, done in partnership with CEG (which for many years led government, industry, academia, non-profits, and civil society groups generally on technology and management excellence initiatives).

Weekly Round-up: September 12, 2014

John Kamensky

OMB Updates Performance.gov.  OMB posted third quarter performance progress updates for cross-agency and agency-specific priority goals on performance.gov.  In an accompanying blog post, OMB director Shawn Donovan highlights some specific accomplishments.

Ellen P. Embrey

Broadcast Date: 
Saturday, July 25, 2009 - 15:05

Creating Risk-Responsive Frameworks

Other federal agencies also face a wide range of risks. Some are external, others are internal. Some are financial (such as having to deal with managing under Sequester or the market impact on external investments in pension funds, which could affect federal pension guarantees). Some are operational, such as those faced by FERC, or cybersecurity threats, or even insider threats. And some are reputational, such as the recent accusations of Patent Office telework abuse, or the General Services Administration’s lavish conferences scandal.

Weekly Round-up: September 19, 2014

John Kamensky IRS’s Big Data and Analytics Go-To Guy. Jason Miller, Federal News Radio, reports that IRS’s Dean Silverman “s going beyond predictive analytics to improve its business outcomes.” Silverman joined IRS two years ago to create an analytic capability to detect fraud and improve compliance with tax laws. His pioneering efforts have drawn attention in other agencies, given his success in helping his colleagues save $2 billion with state-of-the-art approaches. IGs Overburdened by Congressional Mandates.

What Do We Know About Inter-Organizational Networks?

Government and non-profits have already been pioneering the use of collaborative networks over the past two decades to solve complex societal challenges such as clean waterways, reducing child abuse, serving the mentally ill in the community, and reducing smoking. Much of this pioneering work has been done without a roadmap of what works and when using networks is more effective than relying on traditional hierarchies or the marketplace to achieve public goals.

Weekly Round-up: September 26, 2014

John Kamensky Much, Much Better Buying Power. According to Jared Surbu, Federal News Radio, “The Defense Department unveiled the latest version of its Better Buying Power initiative Friday [September 19], shifting the acquisition improvement spotlight this time onto the need to drive more advanced technologies into the products DoD buys.” DHS Secretary Makes Risk Management a Priority.

Student Aid: Pioneers in Managing Risk

One former federal leader, Todd Grams, observes that agencies that ignore risk are actually creating risk. Not surprisingly, there has been increasing interest in agencies in recent years in developing a risk management function. So what does it look like? The Office of Federal Student Aid (FSA) in the Department of Education undertook efforts a decade ago to create a risk management function, which may serve as inspiration for other agencies considering the same.

Making Data Real – Lessons From and For Federal Leaders

In a panel discussion (watch the video) led by the Partnership’s Judy England-Joseph, three government leaders detailed the lessons learned from their experience that can help other agencies in the sound use of analytics to make decisions. Specifically: Social Security Administration (SSA) - Gerald Ray runs the Disability Appeals process. He observed that the disability review process required significant knowledge of regulatory compliance as well as the specifics of each individual case.

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