This document outlines a proposal to link disparate disaster response datasets and apply data mining/machine learning techniques to create useful information for disaster responders and affected communities. Specifically, it discusses linking datasets from needs assessments, situation reports, and other sources to identify patterns and predict needs. The goal is to increase coordination among responders and better understand community needs. The proposal involves interviewing responders and community members in Bangladesh to discover information needs, identify appropriate data sources, and design a prototype system that links and analyzes data to provide actionable insights.
Event: Policy Research, Technology, and Advocacy Converge @ the HUB, November 7-8, 2013 – Prague
An interactive workshop where we discussed how think tanks can improve their use of social networks (Twitter, Google +, Facebook, Flickr, Soundcloud, YouTube, Vimeo, Slideshare, Scribd, issuu, etc.) as a communication and collaboration tool for dissemination of information/data, and interaction with their audiences and other institutions.
Robust Expert Finding in Web-Based Community Information SystemsRalf Klamma
Robust Expert Finding in Web-Based Community Information Systems
Ralf Klamma
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
Psychological first aid (pfa) in disasterSaleh Uddin
Weekly journal club topic presentatio of department of Psychiatry. Bangladesh is disaster prone country. Disaster psychiatry is very relevant here. Hope this ppt will provide mental health professional a little idea about PFA , disaster psychiatry and disaster management.
Event: Policy Research, Technology, and Advocacy Converge @ the HUB, November 7-8, 2013 – Prague
An interactive workshop where we discussed how think tanks can improve their use of social networks (Twitter, Google +, Facebook, Flickr, Soundcloud, YouTube, Vimeo, Slideshare, Scribd, issuu, etc.) as a communication and collaboration tool for dissemination of information/data, and interaction with their audiences and other institutions.
Robust Expert Finding in Web-Based Community Information SystemsRalf Klamma
Robust Expert Finding in Web-Based Community Information Systems
Ralf Klamma
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
Psychological first aid (pfa) in disasterSaleh Uddin
Weekly journal club topic presentatio of department of Psychiatry. Bangladesh is disaster prone country. Disaster psychiatry is very relevant here. Hope this ppt will provide mental health professional a little idea about PFA , disaster psychiatry and disaster management.
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#AlwaysBeLearning https://learning.linkedin.com/week-of-learning
Slideshare lost the previous upload which had nearly 70K views. Re-uploading. http://knoesis.org/?q=node/2633
With the explosion in social media (1B+ Facebook users, 500M+ Twitter users) and ubiquitous mobile access (6B+ mobile phone subscribers) sharing their observations and opinions, we have unprecedented opportunities to extract social signals, create spatio-temporal mappings, perform analytics on social data, and support applications that vary from situational awareness during crisis response, preparedness and rebuilding phases to advanced analytics on social data, and gaining valuable insights to support improved decision making.This tutorial weaves three themes and corresponding relevant topics- a.) citizen sensing and crisis mapping, b.) technical challenges and recent research for leveraging citizen sensing to improve crisis response coordination, and c.) experiences in building robust and scalable platforms/systems. It will couple technical insights with identification of computational techniques and algorithms along with real-world examples. We will also do exemplary demos of the features in the Sahana, CrowdMap (Ushahidi's version) and Twitris platforms while elaborating on the practical issues and pitfalls of the development and operation of these large-scale platforms, especially during the real-time crisis response
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For this session, we’ll explore what role technology plays in how people engage with trails. How can land managers utilize technology to publish better information to their visitors and also understand who’s engaging with their recreational infrastructure? Learn how to reach and understand new audiences, using everything from apps that get people outdoors to crowdsourced data.
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It is divided in three main sections:
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This presentation was delivered at the 2019 National Planning Conference in San Francisco.
Summary points for planners and community organizations can partner with people working in tech.
1. What: For planners who want to plan for broadband infrastructure, adoption, and digital inclusion, the tech industry is an overlooked partner that wants to solve big problems and needs planners’ help.
2. Why: The consequences of not partnering with tech include harm to already marginalized communities and sections of the public and the industry needs planners to plan for digital inclusion to meet future labor demands.
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The Top Skills That Can Get You Hired in 2017LinkedIn
We analyzed all the recruiting activity on LinkedIn this year and identified the Top Skills employers seek. Starting Oct 24, learn these skills and much more for free during the Week of Learning.
#AlwaysBeLearning https://learning.linkedin.com/week-of-learning
Slideshare lost the previous upload which had nearly 70K views. Re-uploading. http://knoesis.org/?q=node/2633
With the explosion in social media (1B+ Facebook users, 500M+ Twitter users) and ubiquitous mobile access (6B+ mobile phone subscribers) sharing their observations and opinions, we have unprecedented opportunities to extract social signals, create spatio-temporal mappings, perform analytics on social data, and support applications that vary from situational awareness during crisis response, preparedness and rebuilding phases to advanced analytics on social data, and gaining valuable insights to support improved decision making.This tutorial weaves three themes and corresponding relevant topics- a.) citizen sensing and crisis mapping, b.) technical challenges and recent research for leveraging citizen sensing to improve crisis response coordination, and c.) experiences in building robust and scalable platforms/systems. It will couple technical insights with identification of computational techniques and algorithms along with real-world examples. We will also do exemplary demos of the features in the Sahana, CrowdMap (Ushahidi's version) and Twitris platforms while elaborating on the practical issues and pitfalls of the development and operation of these large-scale platforms, especially during the real-time crisis response
2018 GIS in Recreation: The Latest Trail Technology Crowdsourcing Maps and AppsGIS in the Rockies
Americans are increasingly recognizing the health, quality of life, environmental, and economic benefits that trails and active transportation offer. As a result, now more than ever it’s important to connect people to our trails, improve the planning of new trails, and better understand how visitors use trails.
For this session, we’ll explore what role technology plays in how people engage with trails. How can land managers utilize technology to publish better information to their visitors and also understand who’s engaging with their recreational infrastructure? Learn how to reach and understand new audiences, using everything from apps that get people outdoors to crowdsourced data.
London data and digital masterclass for councillors slides 14-Feb-20LG Inform Plus
On 14th February 2020, the Local Government association ran a masterclass discussion day for councillors and elected members on data and digital transformation in local government. It took place in London. This is the slide set that was used to steer discussions
Myths and challenges in knowledge extraction and analysis from human-generate...Marco Brambilla
For centuries, science (in German "Wissenschaft") has aimed to create ("schaften") new knowledge ("Wissen") from the observation of physical phenomena, their modelling, and empirical validation. Recently, a new source of knowledge has emerged: not (only) the physical world any more, but the virtual world, namely the Web with its ever-growing stream of data materialized in the form of social network chattering, content produced on demand by crowds of people, messages exchanged among interlinked devices in the Internet of Things. The knowledge we may find there can be dispersed, informal, contradicting, unsubstantiated and ephemeral today, while already tomorrow it may be commonly accepted. The challenge is once again to capture and create knowledge that is new, has not been formalized yet in existing knowledge bases, and is buried inside a big, moving target (the live stream of online data). The myth is that existing tools (spanning fields like semantic web, machine learning, statistics, NLP, and so on) suffice to the objective. While this may still be far from true, some existing approaches are actually addressing the problem and provide preliminary insights into the possibilities that successful attempts may lead to.
The talk explores the mixed realistic-utopian domain of knowledge extraction and reports on some tools and cases where digital and physical world have brought together for better understanding our society.
The presentatio offers an overview on big data in/for global development - i.e. how big data & data science are being developed in emerging and developing regions.
It is divided in three main sections:
(1) what is big data (as of today) & what is big data in/for development?
(2) Who is actually doing «big data for development»? Who are the main intrnational actors/stakeholders? What are main experiences?
(3) Why are we doing this? - i.e. are we doing this right? What are the main access, capacity / interpretation / ethical issues?
Partnering with Tech: Insights from a Planner inside a Tech Consulting Compan...Rebecca Nathanson
This presentation was delivered at the 2019 National Planning Conference in San Francisco.
Summary points for planners and community organizations can partner with people working in tech.
1. What: For planners who want to plan for broadband infrastructure, adoption, and digital inclusion, the tech industry is an overlooked partner that wants to solve big problems and needs planners’ help.
2. Why: The consequences of not partnering with tech include harm to already marginalized communities and sections of the public and the industry needs planners to plan for digital inclusion to meet future labor demands.
4. How: Seek out spaces where tech conversations are happening, partner on mentorship and giving, invite techies to participate in an experience (such as a connectivity walk audit), and speak in common language.
Presented by Dale Allen, Jeff Merriman, Brandon Muramatsu, Domy Raymond, and Mike Reilly, Grantmakers for Education, San Francisco, CA, October 22-23, 2015
Connecting Scenario Approaches with Scenario ToolsRPO America
During the 2017 National Regional Transportation Conference, Ian Varley provided case study examples from City Explained, LLC's work using scenario analysis.
Bigger and Better: Employing a Holistic Strategy for Big Data toward a Strong...IT Network marcus evans
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by Patrick Hadley, Australian Bureau of Statistics at the Australian CIO Summit 2014
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The presentation is about the career path in the field of Data Science. Data Science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
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Data Science in Bangladesh Disaster Response - Field Trip (MSc Thesis)
1. Linking disparate
datasets and applying
‘data mining/machine
learning’ to create
actionable information
FOR THE PROFESSIONAL AND RESPONDING COMMUNITY IN
THE DISASTER RESPONSE AND PREPAREDNESS PHASE
3. My road till now…
• BSc Business Administration
• …Too broad
• MSc Business Informatics
• Focus on: DATA
• Aiming for a big consultancy or
technology firm
• But….
• Why don’t we apply technology
in a developing country?
• My vision:
Tech can be a catalyser for rapid
growth
• My advantage: I get to apply
innovative ideas in a
environment where it’s not
applied before…
4. Agenda
• Problem definition
• What is data linkage?
• What is data mining?
• Examples of envisioned prototype
• Goals of trip
5. Problem definition
• Information overload
• Iteration of JNA and D-Form is
quite long
• What if needs change?
• Information gap
JNA
D-Form
FFWC
OSM/Maps
Etc etc….
Professional Disaster
Responders
Affected/Responding
Community
???
???
???
8. Data Mining and Machine Learning
• Finding novel patterns in datasets to create value
• Creating actionable info from several large PDF’s
• Clustering customers in marketing
Data Information Knowledge
9. Envisioned prototype examples
• Visualising needs
• Predicting needs
• Advice for shelter or location of relief goods
• Delivered value:
• Knowing the real and urgent needs of affected
• Increased coordination among actors (from a fragmented approach)
10. Prototype (possible) data sources
• JNA
• D-Form
• TamTam project data
• Telephone data
• Social media data
• Open street map data
• Etc?
11. Trip goals:
• Discovering information need
• Technological context
• Identifying data sources
• Identifying data mining opportunities
12. Link to TamTam
• TamTam could use the data I collect in the field (e.g. the information
needs of disaster responders)
• TamTam could use the data fusion/linkage and data mining methods I
use in the prototype
• My prototype could use the dataTamTam aims to collect
13. Do you want to help?
I want to interview these people:
Community Organization Role
Professional Concern Universal Disaster ResponseCoordinator
Disaster Preparation Coordinator
Ground level responder
MMS
Oxfam
Practical Action
Responding Local Disaster Responders Imams
Teachers
Entrepreneurs
UISC/Digital centre entrepreneurs
Volunteer Disaster management
committees
Private Companies
Government Union Parishad Disaster ResponseCoordinator
Disaster Preparation Coordinator
Ground level responder
Union Disaster Management
Committee
Upazila Disaster Management
Committee
Ansar andVillage Development
Police