1. 程式人生 > >Resilience Data Analytics Tool and the Cloud Help Humans Survive and Thrive

Resilience Data Analytics Tool and the Cloud Help Humans Survive and Thrive

On the topic of resilience—the ability to withstand, respond and adjust to chronic or acute stressors— there are a lot of data sets out there on social ecological systems, human environment, stressors, shocks, natural disasters, and conflict. The challenge is these data sets are often stored in silos or confined to the academic community.

However, if we could analyze existing data to give insights into what kind of investment and intervention countries should make, then more people could become resilient.

Resilience Atlas brings together 60 data sets for governments and scientists: 12TB of data now available

We had the opportunity to talk with

Alex Zvoleff, Director of Data Science, and Sandy Andelman, Chief Scientist at Conservation International.

Conservation International, with funding from the Rockefeller Foundation, released a new online tool, the Resilience Atlas. The Atlas is designed to build understanding of the extent and severity of stresses and disasters affecting rural livelihoods, production systems, and ecosystems and how different types of assets, from natural capital, to financial capital and social networks affect their ability to thrive and even transform in the face of adversity.

For the first time, data from satellites, ground-based biophysical measurements and household surveys – from more than 60 of the best available data sets (including the NASA NEX data set) totaling over 12 terabytes – have been integrated, analyzed and made available in an easy-to-use map interface. By integrating these disparate data sets, the Atlas connects themes and perspectives so that people making important investment, development and security decisions can easily see the full picture.

What is the challenge you are trying to solve with the Resilience Atlas?

Sandy: In order to thrive, societies need to exhibit resilience. Evidence-based decision-making is a huge challenge in areas where data are inaccessible, and the Resilience Atlas hopes to help make essential information available in a digestible form to governments, communities, donors and businesses who are struggling to manage the risks and uncertainties associated with climate change, conflict, population growth, and other stressors.  It can provide them with insights on the magnitude of the challenge and on which kinds of interventions and investments will make a difference. By creating a system, instead of just providing the answers, people can reach their own insights with the publicly provided data.

How was the map created?

Alex: Faced with large amounts of data volume (12 TB) during work on the Atlas, we had to be able to handle the large volume, the intense computation, and be able to access the data on demand. Prior to considering the cloud to host the Atlas, a lot of the data sets were held by individual researchers. Though a few were made available in publications, they were not easy to access, not easy to crop or download, and in general a lot of the data was not publicly available or it needed specialized knowledge to decipher. Amazon Elastic Compute Cloud (Amazon EC2) spot instances were used for processing and bringing up a large fleet of servers at one time; 120 servers were used in parallel. Amazon EC2 made it possible to do in only a few days what would have taken over a month. Additionally, we have the ability to automate processes as more data sets covering different trends become of interest to the community. All of this is made possible by the cloud computing infrastructure of Amazon Web Services (AWS).

How does the map impact human life?

Sandy: The hope is that this map provides insights to how extensive and how severe the different kinds of shocks people face are in more than forty countries in the Sahel, Horn of Africa, and South and Southeast Asia. For example, with increasing climate variability or financial market shocks, the atlas can give insights into the particular systems and then to try to shift decision making to a more evidence-based approach pulling together the best data to get the complete picture. By mining data, users can understand which kinds of interventions and investments have actual evidence for their effectiveness. Another example is the Journey tool. One focuses on Ethiopian pastoralists, guiding users first to a map showing where they live and then exploring stressors they face, such as changing rainfall patterns that threaten the viability of pastoralism as a livelihood and the lack of investments in human capital, such as literacy and access information, which can hinder them to adapt or transform.

What is the goal of the Atlas in relation to governments, communities, donors and businesses?

Sandy: We can work with governments to use the Atlas as a planning tool. Officials can use the data already in the atlas or they can work with us to put their finer-scale data into the Atlas as a tool to assess resilience and to inform better investment decisions. The open access to this data gives a better understanding of important issues like climate change, flooding, droughts to more people. What was missing before was the integrated picture and more and more in the world we live in today we need a system perspective, because decisions about poverty alleviation are not independent from decisions about conservation and what kind of agriculture to invest in. The Atlas is unique because it pulls together all the different data sets that people might be familiar individually with and puts them together to give the community the full picture to make their important decisions. Determining cause and effect is complex, hence why it requires multiple disciplines and experts to look at problems from multiple angles.

What is the user experience like with the Atlas?

Alex: With the “Journeys” feature, the Atlas guides users on how to tell stories with data, enabling users to explore the specific data that are relevant to the questions they want to answer. Instead of telling them the answers, the Atlas helps them to discover the answers for themselves. It has a simple three-step approach:

  1. Select geography and system of interest to produce a map of how it is distributed.
  2. Identify the stressors and shocks affecting system, and their extent and severity.
  3. Explore what kinds of assets (such as natural, human, social, financial, and manufactured capital) might increase resilience.

Users can share their insights by sharing map links via social media or by embedding Atlas data within their own webpages. All of this data is openly available without a fee and the site supports API access for private industries, allowing a broader audience to work with the data to build other tools.

相關推薦

Resilience Data Analytics Tool and the Cloud Help Humans Survive and Thrive

On the topic of resilience—the ability to withstand, respond and adjust to chronic or acute stressors— there are a lot of data sets out there on s

Orchestrating data analytics to enhance the investor experience

James Williams, managing editor at Hedgeweek, assesses how data analytics techniques can be used to personalise client experiences for investment managers.

Zepto (Data Analytics Tool) Launches in USA

Hey everybody,I’m Apurva the Founder of Zepto, I take this opportunity to inform you guys that we recently launched our Data Analytics Tool Zepto in the US

Utilising machine learning, AI and the cloud to deliver a more personalised customer experience

Paul Armstrong, Principal Solutions Architect, Amazon Web Services: "To deliver a truly personalised travel experience, the first thing airports and airlin

CherryPick:Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics(NSDI2017)

Abstract        為在雲中執行的重複出現的大資料分析作業選擇正確的雲配置是很困難的, 因為可能有數十種可能的 vm 例項型別, 甚至還有更多的群集大小可供選擇。選擇不良會顯著降低效能, 並將執行作業的成本平均增加2-3 倍, 在最壞的情況下甚至高達12倍。然而,

The Data Analytics Handbook: CEOs and Managers

Tweet Share Share Google Plus In a previous blog post we looked at the ebook of interviews with

Data Analytics in the Cloud

Using AWS provides retailers with a wide range of data analytics tools with the power to analyze vast volumes of customer, business, and transact

【Python學習筆記】Coursera課程《Using Python to Access Web Data》 密歇根大學 Charles Severance——Week6 JSON and the REST Architecture課堂筆記

學習 except for num string net none input 網上 Coursera課程《Using Python to Access Web Data》 密歇根大學 Week6 JSON and the REST Architecture 13.5 Ja

ITPG8.250 Data Analytics and Visualisation

代寫ITPG8.250作業、代做Data Analytics作業、代寫CS/python, C/C++課程設計作業ASSIGNMENT TWOSemester 2, 2018ITPG8.250 Data Analytics and VisualisationWeighting: 50% of final gr

Data Digest: AI, Big Data Analytics, and Security; More AI Apps Transforming Data with Intelligence

How AI, machine learning, and big data analytics can help cybersecurity, and examples of real applications for AI and machine learning. A new survey indica

Nvidia launches Rapids to help bring GPU acceleration to data analytics

Nvidia, together with partners like IBM, HPE, Oracle, Databricks and others, is launching a new open-source platform for data science and machine learning

IBM Melds Data Science, Business Intelligence on the Cloud

As enterprises turn to artificial intelligence (AI) to beef up business performance and drive competitive advantage, IBM is working to make analytics, data

Create a personal video watch list in the cloud with PHP and the Movie Database API Part 1

Up until a few years ago, I’d turn on the TV and find myself humming Springsteen’s “57 Channels and Nothin’ On” as I flipped through

Create a personal video watchlist in the cloud with PHP and the Movie Database API Part 2

If you have been following along with Part 1, you are half-way through building a web-based PHP application to store your personal wa

Scott Amyx Speaking on the Power of AI Data Analytics (Video)

All of you play a critical role in the regional and national economy. Small businesses and family owned businesses are the backbone of this country. In ord

Marginally Interesting: Reclaim your data, own a piece of the cloud!

Tweet Lately I’ve been discussing quite a bit with Leo about the curren

Data Science and the Art of Producing Entertainment at Netflix

Data Science and the Art of Producing Entertainment at NetflixNetflix has released hundreds of Originals and plans to spend $8 billion over the next year o

Ask HN: How to get everyone on the same page (dashboards/data/analytics)?

Hi HN,Has anyone here worked at a company where everyone was on the same page regarding which dashboards/analytics tools to go to when looking for dashboar

Google Cloud Spanner: the good, the bad and the ugly

Google Cloud Spanner: the good, the bad and the uglyAs a company that offers multiple cloud-based POS solutions to retailers, restaurateurs and ecommerce m

Chemistry freed from space and time: Automated optimization and synthesis of pharmaceuticals in the cloud

Modern production processes cannot simply assemble a target molecule; they have to be economical, efficient, robust, and sustainable too. It is thus neces