This document discusses how OpenStreetMap data can be used for disaster management and humanitarian response. It provides examples of how OpenStreetMap was used to map areas affected by disasters such as earthquakes in Haiti, Nepal, and other locations. It also describes the Humanitarian OpenStreetMap Team, a non-profit organization that coordinates mapping efforts for humanitarian response and uses OpenStreetMap data through tools like InaSAFE for disaster risk reduction.
Menjelaskan perkembangan OSM di Indonesia dari tahun 2011 hingga tahun 2016, dipresentasikan pada peringatan Open Data Day 2016 di Open Data Labs Jakarta.
2019 09 - drr and geographic information - wikimedia italia presentationAle ZenaIT
Recap the trainings and the discussion on OpenStreetMap and Remote Volunteering during the Progetto V-IOLA's final exercitation in Finale Emilia on 2019-09-19. For further information http://violaproject.eu/ https://eacea.ec.europa.eu/sites/eacea-site/files/compendium_euaid_cb_2017.pdf (at page 17)
Humanitarian OpenStreetMap Team at UNGIWG 10
Presentation compiled by Nicolas Chavent
Presentation presented by Sandra Sudhoff
(many thanks Nicolas and Sandra!)
Menjelaskan perkembangan OSM di Indonesia dari tahun 2011 hingga tahun 2016, dipresentasikan pada peringatan Open Data Day 2016 di Open Data Labs Jakarta.
2019 09 - drr and geographic information - wikimedia italia presentationAle ZenaIT
Recap the trainings and the discussion on OpenStreetMap and Remote Volunteering during the Progetto V-IOLA's final exercitation in Finale Emilia on 2019-09-19. For further information http://violaproject.eu/ https://eacea.ec.europa.eu/sites/eacea-site/files/compendium_euaid_cb_2017.pdf (at page 17)
Humanitarian OpenStreetMap Team at UNGIWG 10
Presentation compiled by Nicolas Chavent
Presentation presented by Sandra Sudhoff
(many thanks Nicolas and Sandra!)
Presentation by Heather Lesson of Humanitarian OpenStreetMap Team on joint Crisis Informatics workshop organized by Kathmandu Living Labs, Harvard Humanitarian Initiative and University of Colorado Boulder to draw lessons from Nepal Earthquake 2015.
Presentation by Heather Lesson of Humanitarian OpenStreetMap Team on joint Crisis Informatics workshop organized by Kathmandu Living Labs, Harvard Humanitarian Initiative and University of Colorado Boulder to draw lessons from Nepal Earthquake 2015.
An Overview and History of the Sahana Free and Open Source Disaster Management Platform. What differentiates it and makes it a leading Disaster Management platform in the world
How OpenStreetMap responds to Disaster Crisis : Digital Revolutions Workshop ...Pierre Béland
Digital Revolutions: New Information Technology
Tools in 21st Century Politics
How OpenStreetMap respond to Disaster Crisis
Pierre Béland, Humanitarian OpenStreetMap Team Volunteer
Norvegian Center for Humanitarian Studies (CMI), Bergen, Norway, 2015-11-02
Lessons Learned: Haiti Four Years After the Earthquake Kara Lightburn
Presented by Kara Lightburn, Executive Director of Social Tap, Inc on April 21st 2014 for the Yale Alumni Association of New York (YAANY)
Highlights our humanitarian model which has been developed over the course of the past 4 years being immersed in the Haitian society and our recommendations as an International Non-Governmental Organization (INGO) in order to ensure access to services for those most vulnerable and marganalized while building the capacity of communities and local organizations based on asset mapping and mobilization to build sustainability and decrease the dependency of AID in Haiti. Areas for volunteer and civil society involvement are also highlighted based on reciprocal long term relationships and knowledge sharing.
In this special edition of Political Economic Digest Series, we will look back at some of the highly commendable voluntary efforts made by the people (individuals and groups), coming together for the victims spontaneously, as the earthquake hit. The articles that follow contain documentations of how people acted on their own, in any capacity they could, rather than waiting for the government relief to reach the victims of the quake. Additional articles feature opinions about the spirit of entrepreneurship that has been gaining grounds in Nepal, and also about how the affected people have lost their homes but not their skills – the skills that the people will use to rise again. In the article “A new generation will help Nepal rise up and rebuild,” by Tashi Sherpa, he talks about the faith he has in the entrepreneurial youth of the nation and expresses his belief in them in re-building the country. The article “Unbent and unbowed,” by Samrat Katwal, contains additionally, useful words of caution as we move towards the reconstruction phase. He talks about protecting and using the indigenous knowledge about construction in different topographical and cultural regions of the country.
Similar to OpenStreetMap for Disaster Management (15)
Brief intro to OSM, comparison of OSM Data ini Asia, particularly the top 10 biggest data size and comparison in visual. Presented at FOSS Asia 2017, Singapore.
Tell a story on Jakarta Mapping where government participate actively in mapping all the sub-village boundaries in Jakarta. Presented at G0v Summit 2016 in Taipei.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
11. About
Using OpenStreetMap for Humanitarian Response
and Economic Development
Incorporated as US Nonprofit in August 2010
Became a registered 501(c)3 charitable organization in 2013
12. Current Remote Mapping
Year Action
2015 Activation, Eastern Afghanistan Earthquake, 26 October
2015 Activation, Hurricane Patricia, 23 October
2015 Humanitarian Mapping Project, Salgar Landslide
2015 Activation, 2015 Nepal earthquake
2014-2015 Activation, 2014_West_Africa_Ebola_Response 2014, March - ongoing
2014 Humanitarian Mapping Project, Tharparkar Drought in Pakistan - ongoing
2014 Humanitarian Mapping Project, 2014 Paraguay floods
2013 Humanitarian Mapping Project, Central Africa Republic (CAR) Crisis Response - ongoing
2013 Humanitarian Mapping Project, South Sudan Crisis Response - ongoing
13. Past Remote Mapping
Year Action
2015 2015 Vanuatu (Typhoon Pam Cyclone)
2014 Democratic Republic of Congo Ebola Response
... Southeast Europe Floods
... Typhoon Hagupit (Ruby)
... Typhoon Haiyan Response (Philippines)
2013 2013 Humanitarian Mapping Project for Uttarakhand, India
2012 2012-2013 Mali Crisis
... 2012 Activation for South and North-Kivu, DR Congo
... En:WikiProject Ivory Coast
... May - Refugee Camps in Ethiopia & Kenya (Camp Roberts)
... 2012 Flooding in Senegal
2011 2011 Samoa Cyclone Simulation
... Horn of Africa Famine
... 2011 Richelieu river flooding
... 2011 Rio de Janeiro Flooding
... 2011 Christchurch earthquake
... Libya crisis
... 2011 Sendai earthquake and tsunami
2010 2010-03 Cyclone Tomas over Wallis and Futuna
... 2010 Shkoder Flooding
... 2010 Colombia floods
... 2010 Storm Megi/Juan
... 2010 Chile earthquake
... 2010 Yushu earthquake
... 2010 Yushu earthquake
... 2010 Alagoas Flooding
... 2010 07 Pakistan Floods
... AlbanianFloodingCrisisCamp
... 2010-01 Haitian Earthquake
2009 Gaza
... Iran -- Post-Election Crisis
... 2009, September - Philippines - Ondoy
14. Activation
“as a declaration to other aid organisations that we have useful map data
or that we are "active" and actively pursuing creation of map data in
response to a crisis”
The first time though it really got big attention was after the earthquake in Haiti in 2010. On the left is a before picture of Port-au-Prince on the left is an after only a couple weeks later. The problem in Haiti was compounded by the fact that the National Mapping Agency office was destroyed from the earthquake and it wasn’t clear immediately where the backup of the data was.