Would You Use Airbnb in a Disaster? Airbnb is Planning on It!

airbnb

airbnb (Photo credit: Gustavo da Cunha Pimenta)

During disasters, many people and families become displaced until they can return to their homes.  Whether it be due to lack of power, a bad water supply, or dangerous conditions, displaced people need a place to stay.  Red Cross shelters often pick up the slack here as the designated short-term shelters.  However, Airbnb, a web-based housing marketplace, is betting on the generosity and kindness of ordinary citizens to help those affected by a disaster.  The company wants to empower citizens to take action through its platform.

Airbnb announced today that they will formally support hosts and guests in need during disasters.  In the aftermath of Hurricane Sandy, Airbnb stepped up to the plate to offer fee-free rentals in disaster affected communities.  The company established a dedicated landing page that allowed hosts to offer their apartments for free.  All this was hacked together in the wee-hours of the disaster and resulted in the rental of over 1,400 free or discounted properties during the Hurricane.

These hacks are now permanent.  Airbnb modified its system to allow these features to be easily deployed within 30 minutes of being notified.  According to its blog, Airbnb will:

  • Allow local residents with extra space to host those in need.
  • Allow existing hosts to donate their rooms for free to those in need.
  • Make all Airbnb bookings in areas affected by a natural disaster fee-free.
  • Email hosts in the affected area, asking them if they are able to help.
  • Connect guests to hosts that have space to offer in the affected area via a dynamic landing page.
  • Provide Airbnb’s 24/7 customer support, Trust & Safety tools, Host Guarantee and other services regularly available to Airbnb hosts.
  • Provide general disaster response information to guests and hosts.”

This undoubtedly shakes up the existing model of government/non-profit sheltering dependence.  Is this something your organization would promote?  Plan for?  Develop partnerships around?

Airbnb also made this great promo video!

Disaster Research & Innovation: Where is The Information Gap?

I have a great interest in the intersection between disaster policy, management and technology.  I am constantly thinking of these relationships and how best to research them.  But more than that, I am very interested in where practitioners have ongoing information gaps related to disaster research and innovation.   New advances are being made constantly and it is important to connect all communities to achieve effective outcomes.

So my question to the community…

What disaster-related information or topics would you like to know more about in your jobs?  And how would you like to receive this information?

Disasters and Technology: How We Are Innovating in a Network Age

In recent years, there has been a wave of innovation in domestic and humanitarian disaster management aided by the advancement of social tools and other technologies.  At a more micro-level, we have already seen a couple distinct behaviors: 1) the applicability of non-disaster tools and techniques, and 2) the emergence of new operating norms.  These behaviors are leading us to question our long held understandings of disaster management and if they are even still relevant.

As an example, UN OCHA just released this groundbreaking report on Humanitarianism in the Network Age that starts to set the future agenda.  And in disasters, we are continually challenged by scalability, complex interdependencies and unvalidated planning assumptions.  The report as well as a number of innovative movements are poised to fundamentally change our previous assumptions in light of new technological capabilities, innovations and most of all, open data.

The Relevance of Non-Disaster for Disaster

Waze navigatiescherm

Waze navigatiescherm (Photo credit: Henk-Jan van der Klis)

In many ways, disaster management has been a discipline unto itself. However, we have been careful to recognize the interdisciplinary nature of our work. With the recent entrepreneurial boom, we have seen a number of non-disaster applications being re-routed for disaster use in addition to the regular social media applications and networks. Simply said, they are simple applications that are easy to use AND scale for disasters purposes.  Additionally, they leverage the “crowd” in ways that do NOT force them into a jurisdictions propriety application or user licenses.

We have seen Waze (crowdsourced mapping info), Geofeedia (geolocated social media intelligence) and Splunk (big data intelligence) being applied to disaster management in ways never intended by their creators. Geofeedia is a great example of this. The application was originally intended to meet the situational awareness needs of Fortune 500 firms for brand and reputation management.  Now it is being applied to a number of use cases for public safety.

The advantage in applying non-disaster applications toward disaster use cases is also that vendors are better able to capitalize on economies of scale to produce better and more usable products at cheaper costs.  This is an important advantage in the increasingly budget conscious world.  We need to be able to do more with less and there are many non-disaster products that allow us to achieve this.  However, the real challenge in the coming years is to identify best practices to use both social media, social networks and other applications for collective action across organizations and across the public.

Social media applications are also becoming our platforms of choice for information sharing both internally and externally. PIOs and other communications personnel that are using social media to engage their stakeholders are also starting to explore explore the potential use cases for collective action. After all, the true first responders are the people that are right there in the moment.  Of course, research is still ongoing in this domain.  As many of my colleagues have pointed out, social media is here to stay, so we get on this bandwagon.  But the real trick is determining best practices and ensuring they become widespread through research and training.

yammer main

yammer main (Photo credit: mushman1970)

Internally, enterprise social networks are increasingly being used for organizational information sharing and collaboration. They are ideal semi-structured data and information networks that enable those “serendipitous effects” that often come from networking and working out loud. This is very similar to social media, but with a trusted or verified network.  They can also become your incident management software with the right planning.  The key takeaway from this is that the more chances there are for information discovery, the more chances there are for “serendipitous effects” that lead to more effective and efficient responses.

New Operating Norms

Most notably social media have advanced how organizations respond to crises. The biggest shift thus far has been seen in the public information realm where PIOs and communications personnel are harnessing the power of social media to disseminate important information before, during and after disasters. They are learning to engage their audiences better, but as they do so, are realizing how they must shift the way they operate to effectively respond and engage sufficiently.

VOSG is a prime example of this. Started by Jeff Phillips and company, the VOSG concepts capitalizes on digitally skilled volunteers (aka Digital Volunteerism) to help manage communications and information during a disaster.  The “command” structure is now being adapted to include skilled volunteers that do not come from traditional first responder rank and file.  Crisis Mappers uses this model and is working with the Qatar Institute to research the efficacy of digital volunteer “micro-tasking.”

Occupy

Occupy (Photo credit: Restore_the_Rock)

During Hurricane Sandy, Occupy Sandy became what I like to call an “emergent network.”  Emergent networks are groups of people that form DURING a disaster and who organize themselves for action without official authority or permission.  They are generally a mix of skilled and non-skilled volunteers that help compliment the response by addressing community-based needs.  These networks also operate in a collective response model that often leads to cooperation without coordination.

The Qatar Institute and Project EPIC are also looking at how social media data can be applied to intelligent operations, including the meaning of aggregated social data. The more we understand data’s value, the more questions that can be answered with aggregated data.

As a result, many research institutions are looking into how best to leverage this for operations. What information is relevant? What format is the best? Who should receive it?  How?  When? What actions should be taken on it? How should it be mashed with intuition, experience and other anecdotal information? We have many questions to answer on this front, but one things is for sure, the ability to access and act upon data and information is growing rapidly.

Conclusion

Generally, the more response networks the better.  However, the real the challenge is not to create too many sandboxes (operational structures/networks).  Just think how many local, regional and Federal sandboxes there are now?  Better yet, how many functional (i.e., healthcare, transportation, firefighting) sandboxes there are?  There are just too many and we can greatly benefit from system data and information from all sandboxes if they were tied together in an effective manner.

Also, responses are no longer “controlled” by a designated organization   As such, response becomes an equally participatory process in which all parties choose to play in the same sandbox.  The more they play well together, the better the outcomes.   Technology is the great enabler for this as collaboration becomes easier and as new information sharing standards are  being developed and adopted.

Technology today is beginning to allow us to aggregate and dis-aggregate all this planning and information sharing across all levels and types of  the response.  Let’s plan for the capabilities we have now and in the future; not the capabilities of the past where technology was the great “limiter” instead of the great “enabler.”

A Research Framework for Next Generation Humanitarian Technology and Innovation

Reblogged from iRevolution:

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Humanitarian donors and organizations are increasingly championing innovation and the use of new technologies for humanitarian response. DfID, for example, is committed to using "innovative techniques and technologies more routinely in humanitarian response" (2011). In a more recent strategy paper, DfID confirmed that it would "continue to invest in new technologies" (2012). ALNAP's important report on "The State of the Humanitarian System" documents the shift towards greater innovation, "with new funds and mechanisms designed to study and support innovation in humanitarian programming" (

Read more… 1,329 more words

Technology is changing how we operate and I believe we need an vision for the future in order to succeed. Patrick lays out a great intro for the technology aspects. What do you think is in our future?

#OpenData and Disaster Management

Beth NoveckAs I reflect on the past month in my Government 3.0 class with Beth Noveck, I am reminded of how much I am learning and how much it relates to my current and future work in Disaster Management.  Overall, this class is an opportunity to learn about concurrent and ongoing initiatives that are furthering the goals of government and its constituents.  But more importantly, the class has allowed me to translate the many things going on government wide to the unique challenges of Disaster Management.
Specifically, disaster management suffers from a lack of “open data” from which to address some of the unique challenges such as scalability and the infrequency of events.

The Unique Challenges of Disaster Management

Scalability.  We plan and prepare for events the best we can by building response capacity and training our staff, volunteers, and partners to respond appropriately; but at the end of the day when a disaster strikes, we need more resources that help us deal with the volumes of information and needs that are coming from every direction.  In addition, the more complex the incident, the more important effective coordination is as more and more response partners join the response.

The more data that is easily available in machine readable format, the more we can innovate with better applications that allow us to slice and dice data to turn it into actionable information for decision-making at all levels and parts of the response.  As a result, we as the collective response can make more informed real-time decisions that begin to really do the greatest good for the greatest number.  The more people (citizens included) with access to the right information at the right time can help alleviate the response burdens of governments and non-profits during major disasters.

Exceptional Emergency Management volunteers re...

Exceptional Emergency Management volunteers recognized (Photo credit: BC Gov Photos)

High Impact/Low Frequency.  Many industries benefit from the mounds of data they sit on for consistent and repeatable events and processes.  As a result, they are better able to learn and adapt to better manage risk.  However, we are often planning for sentinel events that we may or may not know will occur and for which we often don’t know the exact impacts.  As a result, we make many planning assumptions based on a combination of scientific evidence, experience and pure conjecture.  We need better “response data” to validate our assumptions and activities.  What is it about our response that really worked well?  How come?

We work hard to complete after action reports that detail lessons learned and document best practices.  LLIS.gov contains a lot of these reports that are accessible to other industry professionals.  But who has the time to sift through everything?  What if you could slice and dice all the information from every report to help answer your specific questions?  What what if we could index all of the data and information contained in these documents to identify national trends?   Our ability to learn from our past would skyrocket.

Open data is not just about the ability to view it, it is about the ability to mash it together to gain new insights that were previously undetectable.

However, our existing evidence-base is largely anecdotal and based on subject matter expertise only.  Ongoing research is changing our understanding of management and coordination, but decisions are still made this way based on anecdotal evident and expertise.  So what if we could add meaningful metrics and data to the equation?  Essentially, open data would help us review not what worked and what didn’t, but the degree to which it worked or didn’t work.  Data can come from internal systems or even external systems.  The more “open” and available it is, the better chance we have to collect meaningful data that helps us learn from our past.

Interdependencies.  If we could everything alone, we wouldn’t be facing many of the challenges we face today.  However, we need to balance the anticipated risk with our capabilities in a fiscally responsible,  yet politically acceptable manner.   So we turn to our neighbors, non-profits, private sector organizations and other government agencies to become force multipliers.   This creates significant coordination and management challenges as the list grows and grows.  We need more data about what these relationships look like.

English: Datasets in the Linking Open Data pro...

Data allows us to actually map interdependencies that could potentially result in catastrophic failures during an event.   We can also better identify and prioritize these interdependencies to help improve system resielence.  After all, regardless of where or how we operate, we ALWAYS operate in some sort of system that has to work together in order to perform well.  MindAlliance has a great tool that helps organizations identify gaps and weakness is their preparedness.  With additional data, we can further validate planning assumptions in relationship to our dependencies to help distribute risk as best as possible.

English: President Clinton spends a moment wit...Government Led, Community Reliant.  Building off the issues with interdependencies, we also have a mismatch occurring in that initiatives are often government led, but effective responses to disasters are extraordinarily community reliant.  President Obama and FEMA have picked up on this issue with their “Whole Community” approach outlined in PPD-8.  But in moving forward, do we have the resources needed for a true “Whole Community” approach?  In the past, many great initiatives have simply failed due to a lack of funding or time (or the next disaster).

Data will help us prioritize our efforts for maximum effectiveness.  And if the whole community is to participate, they need to data in which to help.  The more data we can work with, we can turn planning and interdependency “assumptions” into “factual” planning points that leave us better prepared for the impacts we actually face, not just what we “think” we face.  Essentially, open data can really help us perform better risk and gap analyses to better inform our mitigation, preparedness, response and recovery efforts.

“Zero Fail.”  This term has been thrown around a lot in the industry.  Most often, it is used in the context of fear for trying something new.  Essentially, we need to do what we know works in order to not “fail.”  Hurricanes Katrina, Ike, Gustav, Irene, and Sandy are quickly showing how inadequate this assumption is.  Our missions are extraordinarily important, but failures are how we learn best.  I would take this a step further and argue that mini-failures are likely the best way of learning.  Eric Reis‘s book The Lean Startup, provides some great anecdotes for failing fast, but still accomplishing the mission.

Developing an “experimentation” culture based on real-time and meaningful data is essential.  Data will helps us fail fast, while still helping us accomplish our mission.  As a result, we can better identify ways to mitigate failure in the future and maximize the effectiveness of our response.  We are always hailed as a “dynamic” industry; but what if we could be even more dynamic to fail and react in the moment?  What if we could change course easily?  Open data enables these things.  Granted, some of this may be a few years off, but it highlights what is possible, even more so than we might think!

Overall, #OpenData represents one of the most important ways we can learn and advance the industry better when dealing with the unique challenges of the industry.

What do you think?  Have you had any wins with OpenData at your organization or in your community?  What have you been able to build with open data?

Innovation at the Sahana Software Foundation: Interview with Mark Prutsalis

Today, I had the pleasure of interviewing Mark Prutsalis from the Sahana Software Foundation.  We spoke for a while on the history and vision for Sahana, a non-profit organization developing open source software for disaster management and humanitarian needs.  In recent years, it has had a lot of success and is poised to continue.

Some highlights from the audio below:

  • Sahana was built by a local technology group in the aftermath if the Indian Ocean Tsunami in 2004.
  • In 2009, the local technology group discovered they had a different mission and Mark took it over as part of the Sahana Software Foundation.
  • New York City, Los Angeles, and International Red Cross all use Sahana software.
  • Current software version is “hard to use out of the box” and development focus right now is on project requirements.
  • There are plans to become more strategic and shift to an “expert system” that is easier to implement and has features based on best practices, not just customer requirements.  Hosted solutions and less technical and operational customization will be required in the future.
  • However, Sahana is trying to build solutions that don’t yet exist in the market.
  • The ability to scale operations with hundreds of thousands of people and sites is a priority for Sahana to better enable real-time planning and management.
  • Haiti earthquake in 2010 was a “watershed moment” for Sahana where it was able to crowdsource and geo-locate almost all 150-160 hospitals in Haiti within 24 hours.  Only two couldn’t be geo-located.  Sahana, in partnership with OpenStreetMap, used geo-rectification to confirm crowdsourced locations.

Check out the audio for the complete 15 minute interview!  (sorry for the initial background noise, but audio is still clear)

To PhD, or Not to PhD…What Do You Think?

A couple weeks ago I found out I was accepted to the George Washington University School of Engineering and Applied Science PhD program in Crisis, Emergency, and Risk Management.

This is an amazing opportunity I am grateful for, but realize there are some drawbacks as well.  Rather than contemplate these decisions by myself, my close contacts and my PhD advisor (who I believe will be awesome and supportive of my pursuits), I thought I would ask my fellow followers to add their thoughts, opinions, and experiences to help inform our decision (this is joint decision with my girlfriend).  Below are my top pros/cons:

Intellectual Curiosity

Diagram of the gown, hood and bonnet used in g...The biggest thing driving me to pursue a PhD is the intellectual curiosity I have, especially with so many unique and amazing things taking place in the industry.  Social media has taken the industry by storm and technology is changing the way disasters are managed.  As a result, there are so many unanswered questions, especially empirically.  Patrick Meier and others are already doing great work in this area, especially with big data and analytics.  They are pushing the bounds of what is possible and I look forward to addressing the challenges of implementing these cutting edge solutions.

The chief questions I have are:  How is social media and technology transforming the way we operate?  What is the best way to organize and respond given these enabling tools?  Essentially, I want to help define how we as emergency managers, communities, citizens, organizations, governments, etc. respond well in a “Networked Age.”  It is no longer sufficient to attack problems uni-dimensionally; we must attack them holistically, empirically, and multi-dimensionally in order to thrive in this increasing complex world.  Ultimately, I hope to look at the issues from an organizational design perspective.

This is an exciting time and I think the time is now to go for it, except….

Financial Concerns

Money Woes

I am thankful that I will be receiving free tuition and a stipend in exchange for my half-time work conducting research.  However, this stipend is small and forces me to work on a tight budget.  In addition, I have not earned any significant income for the past two years while pursuing my MPA from NYU Wagner and have incurred significant student loan debt.  I am feeling a bit drained at this point and am not looking forward to additional years scraping by and incurring additional interest on my loans (payments can be deferred).

While I have some consulting opportunities in the hopper to help supplement my income, they are not consistent and there is no guarantee that they will be there throughout my tenure.  Also, and very importantly, given that I am in a serious relationship, I want to be secure in providing for the many future milestones that are sure to come.

Post-Graduate

If you have ever met me, you’ll know that one of my strongest attributes is the ability to network.  While I am confident I will get to know many of the right people over the course of the next few years, I am still at a loss as to what to do after receiving the degree.  Obtaining a PhD certainly prepares me for teaching, researching and consulting, but I am unsure of what path might be best for me.  Additionally, each has its pros and cons (thoughts?).  While rejoining the workforce as a practitioner is also a possibility, I may be over-qualified for many of the positions.

I also realize there are so many good things going on that I am like a kid in a candy store not knowing where to begin.  I can’t do it all (not enough time in a day), so where do I draw the line?  In some ways, I am trying to have faith that it will all work out.  In other ways, I am trying to be strategic about it.  For all I know, my future job may not have been thought of yet!

The Big Move

English: Divine Moving in one of NYC west vill...

My story in a nutshell…I grew up in the NYC suburbs, spent a total of five years in Denver, CO for undergraduate and working in EMS, then moved to Arlington, VA for three years where I was a Disaster Management consultant, then back to NYC for the past two years to pursue my MPA at NYU Wagner.  I have done some moving in my time and feel comfortable with it.

But this time is different.  I have someone else in the picture and this is a big decision for both of us.  She has built a life here in NYC and moving, while exciting in some ways, is not so exciting in others.  For one, there is the question of her finding a job in the DC metro area as an elementary school  teacher.   This is a big issue.  We are exploring all the avenues, but if we miss the cycle for hiring this year, it will be very difficult to find a job during the year.  Additionally, she is leaving tenure and a prestigious elementary school to move.  Will she be able to find something comparable and secure in the DC area?

Parting Thoughts

Decision time is coming soon.  It is a tough decision and I would love your thoughts…

Do I go do a PhD, or continue working as a practitioner or consultant?  What are the pros and cons of either from your perspective?