a history of connecting cities

wholeearthorigami
http://beautifulnetworks.files.wordpress.com/2008/04/whole2.jpg

Although there is ample evidence for ‘connecting’ cities programmatically, there are fewer examples of ‘networks’ of cities working together for common cause, especially within the realm of economic development.  Increasingly there have been efforts to create portfolios of cities in convenings that may lead to peer to peer information exchange, but this author has been looking for cooperative activities between families of cities with similar needs/profiles.

In terms of connecting cities, the ‘Sister Cities’ program stands out as one of the first international programs aimed to connect individuals across continents.   Formally introduced by President Eisenhower in 1956, the Sister Cities International’s mission is to promote peace through mutual respect, understanding, and cooperation — one individual, one community at a time.” [sister cities.org]  These programs range in effectiveness and activities, depending on the core institutions that started the individual programs. Over time cross-border and cross-cultural relationships have flourished based on cultural exchanges.  On occasion these ‘relationships’ are set up to formalize specific business/commerce exchanges, such as Massachusetts’ Sister City program with Basel, Switzerland,  thanks to both cities’ direct links between  their biotechnology clusters.  The official Sister City website acknowledges the organization’s goals of building economic partnerships via personal and professional networks developed initially through cultural exchanges; these networks can further evolved into conduits to leverage additional commercial and political activity.  However, this model is point to point, and not necessarily a  cross-point structure.

Additional types of network organizations connect cities.  There are industry- or topic-affiliated national networks like the National League of Cities, and the U.S. Conference of Mayors, and the National Urban League, many of which might have sub-committees that convene cities with similar attributes.  More specific workshop type of ‘peer to peer’ structures such as the Mayors’ Institute for City Design, funded by the National Endowment for the Arts and the American Architectural Foundation, and ‘CEO for Cities’ that sponsors national conferences the bring regional leaders together for topic-specific networking and collaboration.  Mayor Michael Bloomberg of New York City has been an avid champion of coordinating urban policies across cities with his Mayor’s Challenge, and Mayor’s Against Illegal Guns programs. Although not specifically a ‘city’ network, cities such as those inhabited by the Ivy League schools and other similar anchor institutions create natural frameworks for the discussion of localized economic development.

Another illustration of connectivity is the economic connectivity between a hub city and its relational support cities as well as the  ‘twin cities’ model where the economic underpinning of two cities located on close proximity  (e.g., St. Paul and Minneapolis) is inextricably interdependent; they often share regional planning and/or transportation systems, despite having separate funding structures. Additionally in terms of regional ‘hubs’ of innovation, the industry cluster has been a lens through which one might examine families of smaller cities that make up one larger metropolis. In fact, the Obama administration has fostered numerous competitive business development programs aimed at recognizing industry cluster activities that may include multiple cities, including cities/counties that are across state lines: Portland Regional Clean Tech Advance Initiative (OR & WA), and the ARK accelerator (AR, MO, OK). However, all of these are spatially co-located.

Could a network of cities be established that further collects cities into a recognized effective municipal ‘agency’ network?

this image from a report on network analysis of music production

music production network map
http://www.lboro.ac.uk/gawc/rb/rb317.html

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connected cities –thoughts by Elinor Ostrom

I’m not sure why this passed me by, but in doing thesis research, I came across the work of Elinor Ostrom who is primarily known for her work in economic governance and in effect network-related institutional architecture, for which she won a Nobel prize.

“Worldwide, we are seeing a heterogeneous collection of cities interacting in a way that could have far-reaching influence on how Earth’s entire life-support system evolves. These cities are learning from one another, building on good ideas and jettisoning poorer ones…. In the coming decades, we may see a global system of interconnected sustainable cities emerging. If successful, everyone will want to join the club.”

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yea!

lockdown economy & consideration for sharing municipal assets

IMG_0735the dynamic act of ‘lockdown’ as it relates to a crisis situation has significant longer term impacts than the immediate safety of the citizens.  The reports on the ‘economic’ cost of the shutdown clarified the impact of the boston economy–as reported in the article below–is significant.  Boston is the ninth largest economy in the country–even larger than Greece and Singapore! As discussed, it certainly was not completely shut down, as many people could work from home, mitigating some of the ‘costs’ of the shut down.  This article reports that even though Boston is a ‘1B/day’ economy, it is likely that the shutdown will only ‘cost’ the city 333 million. Add on top of that the costs of the additional law enforcement activity, overtime, and technology resources needed for the search, it’s of course quite a bit more.

However, Boston’s economy is not a compact with neat boundaries–it is completely tied to other economies in other cities as well. WHere were the greatest impacts? People not able to come into the city?  Weekend plans cancelled?  People spending money in other places that they would spend in Boston?  Will companies choose to be in another place rather than move to Boston?  Of course, this is conjecture, but certainly there is a shadow impact of the economic impact in other places, just as the positive economic impact of things in Boston has a benefit in other places on a regular basis.

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http://www.businessweek.com/articles/2013-04-19/it-costs-333-million-to-shut-down-boston-for-a-day#r=read

measuring the innovation economy

Currently, in the macroeconomic environment,  we have a variety of indicators of economic progress, though they seem to operate in an ‘aggregate’ sense, reporting quantitative indications of progress or lack thereof, rather than making any real qualitative assessment about the economy, or even more detailed quantitative pictures that people can understand as it relates to their daily experience.  What is needed seems to be a critical re-assessment of how we measure innovation and therefore better map our progress.

Data on the number of existing and new ‘jobs’ and unemployment data are long-term indicators as investment and activity do not directly translate into jobs gained immediately; furthermore, as mobility and multi-locational trends continue, jobs may not even be registered in the same place where the work occurs, especially with large corporations and multinationals. As mentioned earlier, much economic activity may not be captured in specific jobs data, but is supportive of the innovation economy as a whole.  As companies disaggregate, and consulting/freelance networks increase, we will likely see a further diffusion of jobs per company decline, and the number of companies increasing, but which will be less geographically proximate.  There are a number of additional measures being employed more recently to try and ‘read in’ the nuances within the economy, such as ‘quit rate’ to demonstrate people feeling ‘free’ to move on from existing jobs that may not fit, since there are fewer explanations to this transformative and unique period of slow economic growth.[1]

Looking at GDP per capita, perhaps the most appropriate measure of proportional activity in a place, which covers a broad variety of economic ‘inputs’ and ‘outputs’ and is generally a measure that lags actual activity.   However, even after decades of use, the GDP measurement tool has not fully been calibrated with the innovation economy.  In April 2013, an NPR report alerted the author that the GDP will be adjusted upward, to finally include R&D spending as a measure of inputs/investments into the economy. This is 2013! [2]  Even world-leading economic analysis engines such as the International Monetary Fund (IMF) have released materials recently discussing the limitations of GDP and other macroeconomic measures, designed for keeping track of economies on an overall long-term growth trajectory,  to show true activity in the economy.[3]

Our standard measure of innovation ‘productivity,’ has been based on  ‘patents ‘ or licensing activity, but increasingly, these metrics not appear to measure the valuable part of innovation — the moment of knowledge transfer.  Patenting is a legal process that fully documents the intellectual property of an invention, but many innovations that occur prior to an official Intellectual Property (IP) filing may emerge as unique products/services, and/or may catalyze new lines of inquiry that would result in a later time in a patent.  Therefore patents and company formation seem to be just the tip of the iceberg, of what is actually happening, and do not reflect the environment in which the innovation is happening (the environment of business activity or physical context being perhaps more conducive to the innovation act).

As alternative measures, there are some additional ways to look at the innovation economy.  The field of bibliometrics, which studies quantities and patterns in published papers, tends to gain an additional perspective of innovation economy activities, but publishing articles on innovation processes and products is not consistent across innovation industries.  Examining articles published does show an increase in collaborative submissions over time, across jurisdictional boundaries, but makes that data hard to ‘match’ with other specific location-based data (such as tax filings or jobs). As defined by the private research group Science-Metrix in their study on collaboration potential, using MSA counties and cited/published paper data, a high collaboration rate is an indicator of a productive innovation culture. More importantly, the research showed that smaller MSAs (population) are keen to collaborate, but in proportion (i.e., scale) they are in fact significantly ‘collaborating’.  Currently, the top 10 collaborative regions, when adjusted for size, are Durham, Baltimore, Seattle, Tucson, Washington, D.C., Boulder, New Haven, St. Louis, San Francisco, and San Diego,[4] incidentally all considered ‘secondary’ markets.

MSA Explorer SampleThis MSA Explorer tool, created by Science-Matrix, is an interactive map that looks at the propensity to collaborate based on published papers with multiple authors.  This map shows Winston Salem’s propensity to collaborate and with whom. http://www.science-metrix.com/MSAExplorer/

 More importantly, some areas are more prone to collaboration and knowledge transfer activities. Many studies point to factors of geographic proximity, spontaneity, regional events, and social networks that promote regional scientific collaboration.  In a similar vein, Sandy Pentland, MIT Media Lab professor, and many other leading scientists are studying how Big Data and the analytics of new technology ‘fingerprints’ could lead to reliable short-term (and quicker) reflections of economic activity.  This author has always wanted to record daily life changes that, if tracked over time, might provide insight into the increase in ‘urban confidence’ that is a parallel sign of economic development: Increase of lawn games in public parks, length of lines waiting to get into popular restaurants, or increase of the act of ‘bumping into someone’ on the street that might lead to a new idea/collaboration or

[1] Apparently this is a rate that is more robust in a better economy. Currently at 1.7%, this rate has increased recently, which is a good sign, but has been higher in the past. Sabri Ben-Achour, “Why the Fed Wants You to Quit your Job” on Marketplace Public Radio. 2 May 2013,  http://www.marketplace.org/topics/economy/why-fed-wants-you-quit-your-job

[2] Albert Sung, “Seeking Alpha: US Government Invents New Way of Calculating GDP”, website http://seekingalpha.com/article/1368001-u-s-government-invents-new-way-of-calculating-gdp

[3] Manik Shrestha and Marco Marini, Quarterly GDP Revisions in G20 Countries: Evidence from the 2008 Financial Crisis, IMF Working Paper, March 2013 , p 3. http://www.imf.org/external/pubs/ft/wp/2013/wp1360.pdf

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[4] Beauchesne and Archambault, Conference Presentation by Science Metrix