The 4 Types of Cities and How to Prepare Them for the Future

Curated on Posted on by Stefaan Verhulst

John D. Macomber at Harvard Business Review: “The prospect of urban innovation excites the imagination. But dreaming up what a “smart city” will look like in some gleaming future is, by its nature, a utopian exercise. The messy truth is that cities are not the same, and even the most innovative approach can never achieve universal impact. What’s appealing for intellectuals in Copenhagen or Amsterdam is unlikely to help millions of workers in Jakarta or Lagos. To really make a difference, private entrepreneurs and civic entrepreneurs need to match projects to specific circumstances. An effective starting point is to break cities into four segments across two distinctions: legacy vs. new cities, and developed vs. emerging economies. The opportunities to innovate will differ greatly by segment.

Segment 1: Developed Economy, Legacy City
Examples: London, Detroit, Tokyo, Singapore

Characteristics: Any intervention in a legacy city has to dismantle something that existed before — a road or building, or even a regulatory authority or an entrenched service business. Slow demographic growth in developed economies creates a zero-sum situation (which is part of why the licensed cabs vs Uber/Lyft contest is so heated). Elites live in these cities, so solutions arise that primarily help users spend their excess cash. Yelp, Zillow, and Trip Advisor are examples of innovations in this context.
Implications for city leaders: Leaders should try to establish a setting where entrepreneurs can create solutions that improve quality of life — without added government expense. …

Implications for entrepreneurs: Denizens of developed legacy cities have discretionary income. …

Segment 2: Emerging Economy, Legacy City
Examples: Mumbai, São Paolo, Jakarta

Characteristics: Most physical and institutional structures are already in place in these megacities, but with fast-growing populations and severe congestion, there is an opportunity to create value by improving efficiency and livability, and there is a market of customers with cash to pay for these benefits.

Implications for city leaders: Leaders should loosen restrictions so that private finance can invest in improvements to physical infrastructure, to better use what already exists. …

Implications for entrepreneurs: Focus on public-private partnerships (PPP). …

Segment 3: Emerging Economy, New City
Examples: Phu My Hung, Vietnam; Suzhou, China; Astana, Kazakhstan; Singapore (historically)

Characteristics: These cities tend to have high population growth and high growth rates in GDP per capita, demographic and economic tailwinds that help to boost returns. The urban areas have few existing physical or social structures to dismantle as they grow, hence fewer entrenched obstacles to new offerings. There is also immediate ROI for investments in basic services as population moves in, because they capture new revenues from new users. Finally, in these cities there is an important chance to build it right the first time, notably with respect to the roads, bridges, water, and power that will determine both economic competitiveness and quality of life for decades. The downside? If this chance is missed, new urban agglomerations will be characterized by informal sprawl and new settlements will be hard to reach after the fact with power, roads, and sanitation.
Implications for city leaders: Leaders should first focus on building hard infrastructure that will support services such as schools, hospitals, and parks. …

Implications for entrepreneurs: In these cities, it’s too soon to think about optimizing existing infrastructure or establishing amusing ways for wealthy people to spend their disposable income. …

Segment 4: Developed Economy, New City
Examples and characteristics: Such cities are very rare. All the moment, almost all self-proclaimed “new cities” in the developed world are in fact large, integrated real-estate developments with an urban theme, usually in close proximity to a true municipality. Examples of these initiatives include New Songdo City in South Korea, Masdar City in Abu Dhabi, and Hafen City Hamburg in Germany.

Implications for city leaders: These satellites of existing metropolises compete for jobs and to attract talented participants in the creative economy. ….

Implications for entrepreneurs: Align with city leaders on services that are important to knowledge workers, and help build the cities’ brand. ….

Cities are different. So are solutions….(More)

6 lessons from sharing humanitarian data

Curated on Posted on by Stefaan Verhulst

Francis Irving at LLRX: “The Humanitarian Data Exchange (HDX) is an unusual data hub. It’s made by the UN, and is successfully used by agencies, NGOs, companies, Governments and academics to share data.

They’re doing this during crises such as the Ebola epidemic and the Nepal earthquakes, and every day to build up information in between crises.

There are lots of data hubs which are used by one organisation to publish data, far fewer which are used by lots of organisations to share data. The HDX project did a bunch of things right. What were they?

Here are six lessons…

1) Do good design

HDX started with user needs research. This was expensive, and was immediately worth it because it stopped a large part of the project which wasn’t needed.

The user needs led to design work which has made the website seem simple and beautiful – particularly unusual for something from a large bureaucracy like the UN.

HDX front page

2) Build on existing software

When making a hub for sharing data, there’s no need to make something from scratch. Open Knowledge’s CKANsoftware is open source, this stuff is a commodity. HDX has developers who modify and improve it for the specific needs of humanitarian data.

ckan

3) Use experts

HDX is a great international team – the leader is in New York, most of the developers are in Romania, there’s a data lab in Nairobi. Crucially, they bring in specific outside expertise: frog design do the user research and design work;ScraperWiki, experts in data collaboration, provide operational management.

ScraperWiki logo

4) Measure the right things

HDX’s metrics are about both sides of its two sided network. Are users who visit the site actually finding and downloading data they want? Are new organisations joining to share data? They’re avoiding “vanity metrics”, taking inspiration from tech startup concepts like “pirate metrics“.

HDX metrics

5) Add features specific to your community

There are endless features you can add to data hubs – most add no value, and end up a cost to maintain. HDX add specific things valuable to its community.

For example, much humanitarian data is in “shape files”, a standard for geographical information. HDX automatically renders a beautiful map of these – essential for users who don’t have ArcGIS, and a good check for those that do.

Syrian border crossing

6) Trust in the data

The early user research showed that trust in the data was vital. For this reason, anyone can’t just come along and add data to it. New organisations have to apply – proving either that they’re known in humanitarian circles, or have quality data to share. Applications are checked by hand. It’s important to get this kind of balance right – being too ideologically open or closed doesn’t work.

Apply HDX

Conclusion

The detail of how a data sharing project is run really matters….(More)”

Five ways tech is crowdsourcing women’s empowerment

Curated on Posted on by Stefaan Verhulst

Zara Rahman in The Guardian: “Around the world, women’s rights advocates are crowdsourcing their own data rather than relying on institutional datasets.

Citizen-generated data is especially important for women’s rights issues. In many countries the lack of women in positions of institutional power, combined with slow, bureaucratic systems and a lack of prioritisation of women’s rights issues means data isn’t gathered on relevant topics, let alone appropriately responded to by the state.

Even when data is gathered by institutions, societal pressures may mean it remains inadequate. In the case of gender-based violence, for instance, women often suffer in silence, worrying nobody will believe them or that they will be blamed. Providing a way for women to contribute data anonymously or, if they so choose, with their own details, can be key to documenting violence and understanding the scale of a problem, and thus deciding upon appropriate responses.

Crowdsourcing data on street harassment in Egypt

Using open source platform Ushahidi, HarassMap provides women with a way to document incidences of street harassment. The project, which began in 2010, is raising awareness of how common street harassment is, giving women’s rights advocates a concrete way to highlight the scale of the problem….

Documenting experiences of reporting sexual harassment and violence to the police in India

Last year, The Ladies Finger, a women’s zine based in India, partnered with Amnesty International to support its Ready to Report campaign, which aimed to make it easier for survivors of sexual violence to file a police complaint. Using social media and through word of mouth, it asked the community if they had experiences to share about reporting sexual assault and harassment to the police. Using these crowdsourced leads, The Ladies Finger’s reporters spoke to people willing to share their experiences and put together a series of detailed contextualised stories. They included a piece that evoked a national outcry and spurred the Uttar Pradesh government to make an arrest for stalking, after six months of inaction….

Reporting sexual violence in Syria

Women Under Siege is a global project by Women’s Media Centre that is investigating how rape and sexual violence is used in conflicts. Its Syria project crowdsources data on sexual violence in the war-torn country. Like HarassMap, it uses the Ushahidi platform to geolocate where acts of sexual violence take place. Where possible, initial reports are contextualised with deeper media reports around the case in question….

Finding respectful gynaecologists in India

After recognising that many women in her personal networks were having bad experiences with gynaecologists in India, Delhi-based Amba Azaad began – with the help of her friends – putting together a list of gynaecologists who had treated patients respectfully called Gynaecologists We Trust. As the site says, “Finding doctors who are on our side is hard enough, and when it comes to something as intimate as our internal plumbing, it’s even more difficult.”…

Ending tech-related violence against women

In 2011, Take Back the Tech, an initiative from the Association for Progressive Communications, started a map gathering incidences of tech-related violence against women. Campaign coordinator Sara Baker says crowdsourcing data on this topic is particularly useful as “victims/survivors are often forced to tell their stories repeatedly in an attempt to access justice with little to no action taken on the part of authorities or intermediaries”. Rather than telling that story multiple times and seeing it go nowhere, their initiative gives people “the opportunity to make their experience visible (even if anonymously) and makes them feel like someone is listening and taking action”….(More)

Iranian youth get app to dodge morality police

Curated on Posted on by Stefaan Verhulst

BBC Trending: “An anonymous team of Iranian app developers have come up with a solution to help young fashion conscious Iranians avoid the country’s notorious morality police known in Persian as “Ershad” or guidance.

Ershad’s mobile checkpoints which usually consist of a van, a few bearded menand one or two women in black chadors, are deployed in towns across Iran andappear with no notice.

Ershad personnel have a very extensive list of powers ranging from issuing warnings and forcing those they accuse of violating Iran’s Islamic code of conduct, to make a written statement pledging to never do so again, to fines or even prosecuting offenders.

The new phone app which is called “Gershad” (probably meaning get aroundErshad instead of facing them) however, will alert users to checkpoints and helpthem to avoid them by choosing a different route.

The data for the app is crowdsourced. It relies on users to point out the location of the Ershad vans on maps and when a sufficient number of users point out the same point, an alert will show up on the map for other users. When the number decreases, the alert will fade gradually from the map.

Screengrab of Tehran on Gershad

In a statement on their web page the app’s developers explain their motives in thisway: “Why do we have to be humiliated for our most obvious right which is the rightto wear what we want? Social media networks and websites are full of footage and photos of innocent women who have been beaten up and dragged on the ground by the Ershad patrol agents.”…

According to the designers of Gershad, in 2014 alone, around three million people were issued with official warnings, 18,000 were prosecuted and more than 200,000 were made to write formal pledges of repentance….

If the app, lives up to the claims made for it, Gershad will be a lifesaver for the growing numbers of young Iranians who are pushing the boundaries of what is allowed and finding themselves on the wrong side of what an Ershad agent sees as acceptable….(More)”

Platform for Mumbai’s slum entrepreneurs

Curated on Posted on by Stefaan Verhulst

Springwise: “We recently saw an initiative that empowered startup talent in a Finnish refugee camp, and now Design Museum Dharavi is a mobile museum that will provide a platform for makers in the Mumbai neighborhood.

The initiative is a brainchild of artist Jorge Rubio and Creative Industries Fund NL. Taking the model of a pop-up, it will stop at various locations throughout the neighborhood. Despite being an ‘informal settlement’, Dharavi is famed for producing very little waste due to a culture of recycling and repurposing. The mobile museum will showcase local makers, enable them to connect with potential clients and run workshops, ultimately elevating the global social perception towards life in the so-called ‘slums’. Home to over a million people, Dharavi has the additional tourism pull from appearing on the film Slumdog Millionaire…..(More)”

Social Media for Government Services

Curated on Posted on by Stefaan Verhulst

Book edited by Surya Nepal, Cécile Paris and Dimitrios Georgakopoulos: “This book highlights state-of-the-art research, development and implementation efforts concerning social media in government services, bringing together researchers and practitioners in a number of case studies. It elucidates a number of significant challenges associated with social media specific to government services, such as:  benefits and methods of assessing; usability and suitability of tools, technologies and platforms; governance policies and frameworks; opportunities for new services; integrating social media with organisational business processes; and specific case studies. The book also highlights the range of uses and applications of social media in the government domain, at both local and federal levels. As such, it offers a valuable resource for a broad readership including academic researchers, practitioners in the IT industry, developers, and government policy- and decision-makers….(More)“

China’s Biggest Polluters Face Wrath of Data-Wielding Citizens

Curated on Posted on by Stefaan Verhulst

Bloomberg News: “Besides facing hefty fines, criminal punishments and the possibility of closing, the worst emitters in China risk additional public anger as new smartphone applications and lower-cost monitoring devices widen access to data on pollution sources.

The Blue Map app, developed by the Institute of Public & Environmental Affairs with support from the SEE Foundation and the Alibaba Foundation, provides pollution data from more than 3,000 large coal-power, steel, cement and petrochemical production plants. Origins Technology Ltd. in July began sale of the Laser Egg, a palm-sized air quality monitor used to track indoor and outdoor air quality by measuring fine particulate matter in the air.

“Letting people know the sources of regional pollution will help the push for control over emissions of every chimney,” said Ma Jun, the founder and director of the Beijing-based IPE.

The phone map and Laser Egg are the latest levers in prying control over information on air quality from the hands of the few to the many, and they’re beginning to weigh on how officials respond to the issue. Numerous smartphone applications, including those developed by SINA Corp. and Moji Fengyun (Beijing) Software Technology Development Co., now provide people in China with real-time access to air quality readings, essentially democratizing what was once an information pipeline available only to the government.

“China’s continuing struggle to control and reduce air pollution exemplifies the government’s fear that lifestyle issues will mutate into demands for political change,” said Mary Gallagher, an associate professor of political science at the University of Michigan.

Even the government is getting in on the act. The Ministry of Environmental Protection rolled out a smartphone application called “Nationwide Air Quality” with the help ofWuhan Juzheng Environmental Science & Technology Co. at the end of 2013.

“As citizens know more about air pollution, more pressure will be put on the government,” said Xu Qinxiang, a technology manager at Wuhan Juzheng. “This will urge the government to control pollutant sources and upgrade heavy industries.”

 Laser Egg

Sources of air quality data come from the China National Environment Monitoring Center, local environmental protection bureaus and non-Chinese sources such as the U.S. Embassy’s website in Beijing, Xu said.

Air quality is a controversial subject in China. Since 2012, the public has pushed the government to move more quickly than planned to begin releasing data measuring pollution levels — especially of PM2.5, the particulates most harmful to human health.

The reading was 267 micrograms per cubic meter at 10 a.m. Monday near Tiananmen Square, according to the Beijing Municipal Environmental Monitoring Center. The World Health Organization cautions against 24-hour exposure to concentrations higher than 25.

The availability of data appears to be filling a need, especially with the arrival of colder temperatures and the associated smog that blanketed Beijing and northern Chinarecently….

“With more disclosure of the data, everyone becomes more sensitive, hoping the government can do something,” Li Yajuan, a 27-year-old office secretary, said in an interview in Beijing’s Fuchengmen area. “It’s our own living environment after all.”

Efforts to make products linked to air data continue. IBM has been developing artificial intelligence to help fight Beijing’s toxic air pollution, and plans to work with other municipalities in China and India on similar projects to manage air quality….(More)”

Forging Trust Communities: How Technology Changes Politics

Curated on Posted on by Stefaan Verhulst

Book by Irene S. Wu: “Bloggers in India used social media and wikis to broadcast news and bring humanitarian aid to tsunami victims in South Asia. Terrorist groups like ISIS pour out messages and recruit new members on websites. The Internet is the new public square, bringing to politics a platform on which to create community at both the grassroots and bureaucratic level. Drawing on historical and contemporary case studies from more than ten countries, Irene S. Wu’s Forging Trust Communities argues that the Internet, and the technologies that predate it, catalyze political change by creating new opportunities for cooperation. The Internet does not simply enable faster and easier communication, but makes it possible for people around the world to interact closely, reciprocate favors, and build trust. The information and ideas exchanged by members of these cooperative communities become key sources of political power akin to military might and economic strength.

Wu illustrates the rich world history of citizens and leaders exercising political power through communications technology. People in nineteenth-century China, for example, used the telegraph and newspapers to mobilize against the emperor. In 1970, Taiwanese cable television gave voice to a political opposition demanding democracy. Both Qatar (in the 1990s) and Great Britain (in the 1930s) relied on public broadcasters to enhance their influence abroad. Additional case studies from Brazil, Egypt, the United States, Russia, India, the Philippines, and Tunisia reveal how various technologies function to create new political energy, enabling activists to challenge institutions while allowing governments to increase their power at home and abroad.

Forging Trust Communities demonstrates that the way people receive and share information through network communities reveals as much about their political identity as their socioeconomic class, ethnicity, or religion. Scholars and students in political science, public administration, international studies, sociology, and the history of science and technology will find this to be an insightful and indispensable work….(More)”

Open government data: Out of the box

Curated on Posted on by Stefaan Verhulst

The Economist on “The open-data revolution has not lived up to expectations. But it is only getting started…

The app that helped save Mr Rich’s leg is one of many that incorporate government data—in this case, supplied by four health agencies. Six years ago America became the first country to make all data collected by its government “open by default”, except for personal information and that related to national security. Almost 200,000 datasets from 170 outfits have been posted on the data.gov website. Nearly 70 other countries have also made their data available: mostly rich, well-governed ones, but also a few that are not, such as India (see chart). The Open Knowledge Foundation, a London-based group, reckons that over 1m datasets have been published on open-data portals using its CKAN software, developed in 2010.

How Satellite Data and Artificial Intelligence could help us understand poverty better

Curated on Posted on by Stefaan Verhulst

Maya Craig at Fast Company: “Governments and development organizations currently measure poverty levels by conducting door-to-door surveys. The new partnership will test the use of AI to supplement these surveys and increase the accuracy of poverty data. Orbital said its AI software will analyze satellite images to see if characteristics such as building height and rooftop material can effectively indicate wealth.

The pilot study will be conducted in Sri Lanka. If successful, the World Bank hopes to scale it worldwide. A recent study conducted by the organization found that more than 50 countries lack legitimate poverty estimates, which limits the ability of the development community to support the world’s poorest populations.

“Data depravation is a serious issue, especially in many of the countries where we need it most,” says David Newhouse, senior economist at the World Bank. “This technology has the potential to help us get that data more frequently and at a finer level of detail than is currently possible.”

The announcement is the latest in an emerging industry of AI analysis of satellite photos. A growing number of investors and entrepreneurs are betting that the convergence of these fields will have far-reaching impacts on business, policy, resource management and disaster response.

Wall Street’s biggest hedge-fund businesses have begun using the technology to improve investment strategies. The Pew Charitable Trust employs the method to monitor oceans for illegal fishing activities. And startups like San Francisco-based Mavrx use similar analytics to optimize crop harvest.

The commercial earth-imaging satellite market, valued at $2.7 billion in 2014, is predicted to grow by 14% each year through the decade, according to a recent report.

As recently as two years ago, there were just four commercial earth imaging satellites operated in the U.S., and government contracts accounted for about 70% of imagery sales. By 2020, there will be hundreds of private-sector “smallsats” in orbit capturing imagery that will be easily accessible online. Companies like Skybox Imaging and Planet Labs have the first of these smallsats already active, with plans for more.

The images generated by these companies will be among the world’s largest data sets. And recent breakthroughs in AI research have made it possible to analyze these images to inform decision-making…(More)”