Author Archives: codata_blog

March 2022: Publications in the Data Science Journal

Title: Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets
Author: Ge Peng , Carlo Lacagnina, Robert R. Downs, Anette Ganske, Hampapuram K. Ramapriyan, Ivana Ivánová, Lesley Wyborn, Dave Jones, Lucy Bastin, Chung-lin Shie, David F. Moroni
URL: http://doi.org/10.5334/dsj-2022-008
Title: Recommendations for Discipline-Specific FAIRness Evaluation Derived from Applying an Ensemble of Evaluation Tools
Author: Karsten Peters-von Gehlen , Heinke Höck, Andrej Fast, Daniel Heydebreck, Andrea Lammert, Hannes Thiemann
URL: http://doi.org/10.5334/dsj-2022-007

February 2022: Publications in the Data Science Journal

Title: A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil
Author: Jeaneth Machicao, Alison Specht, Danton Vellenich, Leandro Meneguzzi, Romain David, Shelley Stall, Katia Ferraz, Laurence Mabile, Margaret O’Brien, Pedro Corrêa
URL: http://doi.org/10.5334/dsj-2022-006
Title: Developing Metrics for NASA Earth Science Interdisciplinary Data Products and Services
Author: Zhong Liu , Chung-Lin Shie, Anthony J. Ritrivi, Guang-Dih Lei, Gary T. Alcott, Mary Greene, James Acker, Jennifer C. Wei, David J. Meyer, Angela Li, Atheer F. Al-Jazrawi
URL: http://doi.org/10.5334/dsj-2022-005
Title: OSSDIP: Open Source Secure Data Infrastructure and Processes Supporting Data Visiting
Author: Martin Weise , Filip Kovacevic, Nikolas Popper, Andreas Rauber
URL: http://doi.org/10.5334/dsj-2022-004
Title: Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis
Author: Maegen B. Simmonds, William J. Riley, Deborah A. Agarwal, Xingyuan Chen, Shreyas Cholia, Robert Crystal-Ornelas, Ethan T. Coon, Dipankar Dwivedi, Valerie C. Hendrix, Maoyi Huang, Ahmad Jan, Zarine Kakalia, Jitendra Kumar, Charles D. Koven, Li Li, Mario Melara, Lavanya Ramakrishnan, Daniel M. Ricciuto, Anthony P. Walker, Wei Zhi, Qing Zhu, Charuleka Varadharajan
URL: http://doi.org/10.5334/dsj-2022-003

Disaster Risk Reduction and Open Data Newsletter: March 2022 Edition

Climate change: IPCC report warns of ‘irreversible’ impacts of global warming
Many of the impacts of global warming are now simply “irreversible” according to the UN’s latest assessment. But the authors of a new report say that there is still a brief window of time to avoid the very worst. The Intergovernmental Panel on Climate Change says that humans and nature are being pushed beyond their abilities to adapt.

Strengthening emergency communications for complex, cascading and compounding events – lessons learned from the Hunga Tonga-Hunga Ha’apai eruption and tsunami in Tonga
While research communities are trying to better understand complex, compounding and cascading disasters, 2022 has just provided a ‘textbook’ example in Tonga. Tropical Cyclone Cody, the COVID-19 pandemic threat, and the eruption of the Hunga Tonga-Hunga Ha’apai volcano – followed by a tsunami and more than 70 earthquakes (magnitudes 4.4-5.0) between 14 January and 04 February 2022 – devastated the emergency management system in Tonga.

CREWS commits additional funding to strengthen Early Warning Systems in the Caribbean
Different and multiple hazards, such as severe weather conditions inland and at sea, droughts, hurricanes, floods, and earthquakes, pose a serious threat to the Caribbean –  one of the most disaster-prone regions in the world. The development of Early Warning Systems has been identified by the Sendai Framework for Disaster Risk Reduction 2015–2030, the 2030 Agenda for Sustainable Development, and the Paris Agreement as a key pathway to prevent disasters and reduce the negative impacts of multiple hazards.

Limiting the damage: UN helps policymakers tackle climate change
As extreme weather events become commonplace, threatening communities and economies across the world, the UN is helping policymakers and leaders by projecting the impact of future climate hazards, and recommending the best, most cost-effective ways to adapt.

INFORM Risk Management Tool
INFORM is the first global, objective and transparent tool for understanding the risk of humanitarian crises. When all those involved in crisis prevention, preparedness and response use a shared risk assessment, they can work more effectively. That is why INFORM is open-source. INFORM has been developed in response to recommendations by numerous organisations to improve the common evidence basis for risk analysis, as well as the actual demands of INFORM partner organisations.

Climate Change 2022: Impacts, Adaptation and Vulnerability
The Working Group II contribution to the IPCC Sixth Assessment Report assesses the impacts of climate change, looking at ecosystems, biodiversity, and human communities at global and regional levels. It also reviews vulnerabilities and the capacities and limits of the natural world and human societies to adapt to climate change. To read the summaries or the full report click the link.

Understanding hazards: Probabilistic cyclone modelling for disaster risk to the Eastern Coast in Bangladesh
Cyclones and associated wind and water hazards result in the most significant fatalities. In addition, coastal inundations due to cyclonic storm surges are an increasing threat to the lives and livelihoods of people in low-lying, highly populated coastal areas. This paper develops a synthetic cyclone modelling (Category 4) to understand the probable maximum impacts of a tropical cyclone and its cascading and compounding hazards in the Cox’s Bazar area in Bangladesh.

Scoping paper – Strategic crisis management in the EU – June 2021
This scoping paper sets out the key recommendations by the European Commission’s Group of Chief Scientific Advisors on how to enhance crisis preparedness, more integrated and timely response capacity, and resilient recovery for the EU are expected within the second quarter of this year.

European Environmental Agency Europe’s changing climate hazards – an index-based interactive EEA report
Climate change is happening, and we need to get ready for more intense heatwaves, floods and storms, wildfires and water scarcity. Different climate-related hazards affect regions, sectors of the economy and members of society in different ways. Decision-makers need the best data and information to help them understand the imperatives and make the necessary preparations. “Europe’s changing climate hazards – an interactive index-based EEA report”, brings it all together with an overview of past and projected changes in Europe’s most important climate hazards.

A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil
Socioeconomic indicators are essential to help design and monitor the impact of public policies on society. Over recent years other ways of collecting data and producing indicators have been explored, in particular using the new surveillance capabilities that remote observations can provide. The objective of this paper is to evaluate the assessment of socioeconomic indicators using street-view imagery, through a case study conducted in a region of Brazil, the Vale do Ribeira, one of the poorest semi-rural regions in Brazil.

Beyond Barriers: Solomon Islands Case Study
This case study explores the Solomon Islands’ progress in the integration of disaster risk reduction (DRR) and climate change adaptation (CCA), identifying key themes and opportunities for stakeholders to advance approaches that reduce risk and enhance resilience in communities

A crowdsourced global data set for validating built-up surface layers
Several global high-resolution built-up surface products have emerged over the last five years, taking full advantage of open sources of satellite data such as Landsat and Sentinel. However, these data sets require validation that is independent of the producers of these products. To fill this gap, we designed a validation sample set of 50 K locations using a stratified sampling approach independent of any existing global built-up surface products.

Domino Effect: Cascading disasters and lessons from the Tonga eruption and tsunami
Tonkin + Taylor in partnership with Integrated Research on Disaster Risk (IRDR), Committee on Data (CODATA) of the International Science Council (ISC) brings together experts to share: A forensic assessment of Hunga Tonga-Hunga Ha’apai eruption and tsunami in Tonga, A cascading and compounding hazard assessment, Volcanic eruption and tsunami scenarios, Lessons learned and ways forward. Follow the link to sign up for this webinar.

 

28 Feb – 11 March -1st WWRP/SERA Weather and Society Conference 2022 (Online)
Extreme hydrometeorological events are affecting societies, economies and environments as never before in human history. Governments, science agencies, the humanitarian sector, emergency managers and decision-makers face an unprecedented challenge to reduce the risks to citizens and society. The Societal and Economics Research Application (SERA) Working Group of the WMO World Weather Research Programme (WWRP) invites the weather community to actively participate in the first Weather and Society Conference organised by this Programme.

Global Sustainability – Sustainable Education in the Digital Age
Prof. Stephen Yang will address that in the digital age when developing technology, we also need to reflect on the impact of ethics and social changes on education. Prof. Hiroaki Ogata will address that the Japanese government expects to launch 15 “International Leading Research Projects” in 2023, each with a total funding cap of 500 million yen over seven years, to support international joint research. Prof. Owen Lu will address that by applying ESG analytics technology to essay grading. Including how to use natural language processing technology to analyze corporate sustainability reports and media news?

Launch of Women’s Leadership in Disaster Risk Reduction
Women, girls, boys, men, and people of diverse gender identities have distinct vulnerabilities in each context that shape the way that they experience and recover from disaster impacts. Effective disaster risk reduction requires meaningful and diverse participation, engagement, and leadership, through an inclusive and accessible, all-of-society approach.

Flood forecasting for anticipatory action: applying flood models in humanitarian contexts
Flood forecasts can provide critical information to help people get ahead of rising water levels before a crisis unfolds. The speakers will explore examples of flood models, the spatial and temporal scale at which these models can provide risk information, how probabilistic models are interpreted, the uncertainties of these models, and where floods models have been used to inform anticipatory action.

Current approaches and GIS methods to support anticipatory humanitarian action
Geospatial data, GIS and remote sensing are of increasing importance in the humanitarian context and are currently experiencing increased use in the field of anticipatory humanitarian action. In this advanced course, you have the opportunity to explore the application areas of geodata in humanitarian contexts.

January 2022: Publications in the Data Science Journal

Title: A Framework for Data-Driven Solutions with COVID-19 Illustrations
Author: Kassim S. Mwitondi , Raed A. Said
URL: http://doi.org/10.5334/dsj-2022-002
Title: Open Science – For Whom?
Author: Martin Dominik, Justine Germo Nzweundji, Nova Ahmed, Sandro Carnicelli, Nurzatil Sharleeza Mat Jalaluddin, David Fernandez Rivas, Vanny Narita, Shymaa Enany, Clarissa Rios Rojas
URL: http://doi.org/10.5334/dsj-2022-001
Title: We Can Make a Better Use of ORCID: Five Observed Misapplications
Author:Miriam Baglioni, Paolo Manghi, Andrea Mannocci, Alessia Bardi
URL: http://doi.org/10.5334/ds,j-2021-038
Title: Methods to Capture User Information Needs: Design Principles for Open Data Intermediaries and Data Providers
Author:Elisabeth Gebka, Jonathan Crusoe, Karin Ahlin
URL: http://doi.org/10.5334/ds,j-2021-037

Disaster Risk Reduction and Open Data Newsletter: February 2022 Edition

Why the Tonga tsunami arrived much earlier and much larger than expected
The tsunami recorded at distant locations from the Tonga volcanic explosion arrived much earlier and was much larger than expected from an earthquake-generated tsunami. This event caused great difficulty in issuing timely and accurate tsunami warnings for the following three reasons described in the article.

Volunteered rapid disaster monitoring and mapping (VoRDM)
The Kingdom of Tonga and its people are reeling from the violent January 15 eruption of Hunga Tonga-Hunga Ha’apai volcano and the ensuing tsunami. CODATA TG FAIR Data for DRR, China GEO Aerospace Information Research Institute in the Chinese Academy of Sciences (AIR) and Tonkin + Taylors  Disaster Risk Resilience team is working hard to map the devastation accurately and smoothly the way for more efficient humanitarian efforts and recovery.

Long-term planning crucial to Tonga’s recovery
As recovery efforts began in Tonga, after the Hunga Tonga-Hunga Ha’apai volcano eruption and the tsunami that followed, the first priority will be to provide immediate relief to communities to save lives and respond to urgent needs. However, successful recovery must also incorporate long-term strategies of building back better and establishing resilience, mitigation, risk reduction and preparedness initiatives.

2021 floods: UN researchers aim to better prepare for climate risks
In July 2021, several European countries, including Germany, Belgium and the Netherlands, were affected by catastrophic floods, causing deaths and widespread damage. According to the latest report from the Intergovernmental Panel on Climate Change (IPCC), such extreme weather events are expected to increase frequency and severity in the coming decades.

A framework for global science in support of risk-informed sustainable development and planetary health
This document takes stock of recent developments in disaster risk science. It provides a compelling set of directions for research and scientific collaboration for a more holistic and collaborative approach to understanding and managing risks. It challenges silos in science and in society and the notion that social, ecological, economic and technological systems can be understood in isolation from one another and advocates for an increased focus on people.

Tsunami risk communication and management: Contemporary gaps and challenges
Very large tsunamis are associated with low probabilities of occurrence. In many parts of the world, these events have usually occurred in a distant time in the past. As a result, there is a low-risk perception and a lack of collective memories, making tsunami risk communication challenging and complex. Furthermore, immense challenges lie ahead as population and risk exposure increase in coastal areas.

UK climate change risk assessment 2022
As required by the Climate Change Act 2008, the UK government has undertaken the third five-year assessment of the risks of climate change in the UK. The risk assessment considers sixty-one UK-wide climate risks and opportunities cutting across multiple sectors of the economy. It prioritises eight risk areas for action, discussed in the document.

Creating resilient futures: Integrating disaster risk reduction, sustainable development goals and climate change adaptation agendas
This book examines a coherence building opportunity between Climate Change Adaptation, the Sustainable Development Goals and Disaster Risk Reduction agendas. Considers opportunities to address global challenges in the context of developing resilience as an integrated development continuum instead of through independent and siloed agendas.

City Resilience Program: Supporting cities in building resilience
This Making Cities Resilient 2030 (MCR2030) webinar session aims to provide in-depth information to help cities, local authorities, and their partners better understand what the City Resilience Program is and how to access its support. It will include information on the type of support provided, the eligibility criteria and the relevant application process.

CREWS workshop on people-centred early warning systems operational procedures
CREWS invite participants to register interest in participating in a 2-hour workshop (in French and English) to discuss CREWS People-Centered Early Warning Systems (EWS) Operational Procedures. The workshop is an opportunity for people with experience of people-centred EWS and design, implementation and monitoring of CREWS projects to share experiences and contribute to finalising.

Pre-Conference Workshops – African kick-off conference for the UN decade of ocean science for sustainable development
The Conference will provide a forum to take stock of the state of ocean science and technology in the region, to deliberate on how ocean science in Africa should be supported and focused on achieving the societal outcomes required by the Decade, and also seek the interest and commitment of the ocean science community to engage in a number of research directions that are essential for sustainable ocean management.

SHEAR Common Ground: Science for humanitarian emergencies and resilience
It is our great pleasure to invite you to join us on February 11th at our SHEAR finale event, in which we will be celebrating our achievements, finding common ground and charting the way forward. We are excited to share and discuss pressing humanitarian-science questions and the outcomes of the SHEAR programme through a high-energy and interactive virtual event.

Artificial intelligence for natural disaster management
This Webinar will explore the main barriers to adopting these disruptive technologies in disaster management and examine the integrated approaches related to machine learning, big data analytics, and AI for supporting the detection, forecasting, and communication of natural hazards disasters.  In this context, the Webinar will provide an overview of how AI can be leveraged to enhance modelling across spatiotemporal scales and facilitate effective communication in the event of a natural disaster

November 2021: Publications in the Data Science Journal

Title: A Framework for Data-Driven Solutions with COVID-19 Illustrations
Author: Kassim S. Mwitondi , Raed A. Said
URL: http://doi.org/10.5334/dsj-2021-036
Title: Interconnecting Systems Using Machine-Actionable Data Management Plans – Hackathon Report
Author: João Cardoso, Leyla Jael Castro, Tomasz Miksa
URL: http://doi.org/10.5334/ds,j-2021-035
Title: Keeping Track of Samples in Multidisciplinary Fieldwork
Author: Pål Gunnar Ellingsen, Lara Ferrighi, Øystein Godøy, Tove Margrethe Gabrielsen
URL: http://doi.org/10.5334/ds,j-2021-034

Disaster Risk Reduction and Open Data Newsletter: December 2021 Edition

World Bank: Disaster risk insurance: 5 insights from the Philippines
With disasters a growing threat, insurance for countries trying to manage climate and disaster risk is becoming increasingly critical. While insight on what works – and what doesn’t – to build resilience is still limited, the experience of the Philippines shows how countries can improve their protection to disasters by working with international insurance markets.

Science supporting policy in disaster risk management: providing the data and knowledge for transitioning to a climate-proof resilient society
The representatives of the EC’s Joint Research Centre recently discussed the INFORM risk assessment, an evidence-based methodology to support decision-making on humanitarian crises and disasters, extended recently to the regions of Caucasus and Central Asia and South Eastern Europe

Kiribati: Fishing for food and resilience
Located in the centre of the Pacific, the Republic of Kiribati is known for being one of the world’s smallest and most remote island nations. In fact, it is remarkably large: 33 atoll islands spread across an ocean territory of more than 3.5 million square kilometers. The vast waters – one of the world’s biggest Exclusive Economic Zones – constitute some of the richest and most diverse ecosystems on Earth, supporting hundreds of species as well as the livelihoods, health, culture, and way of life of local people. However, in the global narratives about climate change, island nations such as Kiribati have been seen as ‘poster children’ for the risks of a warming planet.

The need for medium-range forecasting in early warning systems to improve risk outcomes
High-impact weather events – floods, storms, cyclones – threaten human life and property, as well as affecting the economy and inflicting significant societal hazards. Being able to predict these events accurately, and with sufficient lead times, enables people to prepare for them. It is also more cost-effective: a dollar invested in disaster preparedness – which reduces people’s vulnerability to the impacts – can prevent six dollars’ worth of disaster-related economic losses.

One billion children at ‘extremely high risk’ of climate impacts
Young people living in the Central African Republic, Chad, Nigeria, Guinea, and Guinea-Bissau are the most at risk of the impacts of climate change, threatening their health, education, and protection, and exposing them to deadly diseases, according to a UNICEF report launched today. ‘The Climate Crisis Is a Child Rights Crisis: Introducing the Children’s Climate Risk Index’ is the first comprehensive analysis of climate risk from a child’s perspective. It ranks countries based on children’s exposure to climate and environmental shocks, such as cyclones and heatwaves, as well as their vulnerability to those shocks, based on their access to essential services.

Post-disaster needs assessments guidelines: Volume B – Environment
The main objective of PDNA–Environment is to prepare a recovery strategy that guides the restoration of environment and natural resources damaged due to a disaster. This should also enable environmentally friendly rebuilding in all sectors. The recovery plan also supports the restoration of environment and natural resources as a disaster risk reduction (DRR) strategy.

Words into Action: Nature-based solutions for disaster risk reduction
This guide aims to give practical, how-to-do information on setting up and implementing nature-based solutions (NbS), especially for disaster risk reduction (DRR), but also for climate change adaptation (CCA). It is designed to help implement the Sendai Framework for Disaster Risk Reduction 2015-2030 (hereafter referred to as the Sendai Framework). The Sendai Framework recognizes that environmental degradation can cause hazards and that disasters also have an impact on the environment.

From protection to prevention: The role of cooperative and mutual insurance in DRR
This report, prepared by the ICMIF-UNDRR collaboration, presents seven mechanisms gleaned from case studies compiled across the cooperative and mutual insurance sector and from a literature review on the role of insurance in supporting disaster risk reduction and resilience. It focuses on preventing new risks and reducing existing risk is more urgent than ever because disasters can erase development gains and hinder progress, often for years to come, such as in the case of floods, hurricanes, earthquakes, pandemics or major technological disasters.

UNDRR Briefing Package for UN Resident Coordinators and UN Country Teams
This briefing package sets out how UNDRR can better support UNRCs and UNCTs to deliver sustainable development benefits at a country level from a DRR angle. The options proposed here can be adjusted to meet the needs of the regional UN development system architecture. This package includes an information checklist, support tools and information that UNDRR has developed to support national governments and UN partners to reduce risks and losses as guided by the Sendai Framework.

 Can ecosystems protect populations? New evidence published
While it is generally assumed that ecosystems, such as mangroves, coral reefs or sand dunes, play an important role in reducing risks from hazard events, there are few comprehensive studies that gather scientific evidence on the services these ecosystems provide, and the functions they fulfil for disaster risk reduction.

Nature-Based Solutions for Urban Resilience: Linking Science, Tech, Policy and Practice
Objectives of the webinar include discussing the current state of nature-based solutions that are undertaken globally and identifying success stories and how this can be replicated to scale for impact.

Workshop Announcement and Call for Applications: Enlargement and Integration – Digital Transformation, Data and AI in the Western Balkans
The workshop “Digital Transformation, Data and AI in the Western Balkans” aims to investigate how digital technologies, data and AI influence changes in our societies. Europe’s ambition is to become the world-leading region for developing and deploying cutting edge, ethical and secure AI, as well as to promote a human-centric approach in the global context.

9th Global Dialogue Platform on Anticipatory Humanitarian Action – Virtual Edition: 7th – 9th December 2021
Join us for a series of panel discussions, thematic presentations and interactive events that will bring together practitioners, scientists and government representatives from around the world to explore how anticipatory action can address the compounding and intertwined effects of the climate crisis, rising conflicts and economic shocks on the world’s most vulnerable people.

International Science Council – Health Inequalities: New Methods, Better Insights?
At this conference of the Royal Netherlands Academy of Arts and Sciences (KNAW), the final report of the ALLEA/FEAM Health Inequalities project will be presented to a wider audience. The technical contents of this report, ‘Health inequalities: new methods, better insights?’, have already been discussed extensively at a series of well-attended workshops. This conference aims to provide a forum for discussing the implications of the report for research and policy. How can new research methods help us to better understand health inequalities, and how can better science help policymakers to reduce health inequalities more effectively?

#AGU21: Science is Society
The AGU Fall Meeting is the primary gathering for Earth and space scientists, students, and those in affiliated fields to share scientific findings and identify innovative solutions. With in-person and worldwide online participation, attendees will have numerous opportunities to network with government regulators, scientific visionaries, and industry thought-leaders. Join our diverse community in New Orleans and Online Everywhere 13 – 17 December 2021.

20th Swiss Climate Summer School 2022 – Extreme weather and climate
Swiss Climate Research, the network of leading Swiss institutions in climate research and education, invites young scientists (PhD students and postdocs) to join high-profile climate researchers in a scenic Swiss Alpine setting for keynote lectures, workshops and poster sessions on the occasion of the 20th Swiss Climate Summer School 2022.

FAIR Data for Disaster Risk Research – Task Group renewal proposal

Bapon Fakhruddin and Li Guoqing, co-chairs

After four terms of study, the award winning FAIR Data for Disaster Risk Research (FAIR-DRR) has focused itself on addressing enabling technology (i.e. decision support system, rapid damage mapping, etc.), scientific questions, technical challenges, and best practices of disaster data standards and applications in risk assessment across disciplines, development partners and governments.  FAIR-DRR also developed a data ecosystem by integrated other networks to work collaboratively (i.e. IRDR of UNDRR, GEO-DRR, NASA DRR working group, SDG, Disaster Statistic etc.) and applied data for cross-domain studies.  These activities closely allied with the ISC’s Decadal Programme “Making data work for cross-domain grand challenges”.

FAIR-DRR is an increasingly important activity linking and ensuring coherence of major global milestones – the Sendai Framework for Disaster Risk Reduction (SFDRR), Sustainable Development Goal (SDG), Paris Agreement for Climate Change and the New Urban Agenda (NUA)-Habitat III.

The experiences of the Covid-19 pandemic in the past year have made all disciplines keenly aware that solutions to complex and difficult problems require data to be readily assessable and actionable by machines using big data in combination with the most advanced hardware and software technologies. Our technology is advancing rapidly, however, our data systems are not able to achieve the same milestones. The fundamental enabler of data-driven science is an ecosystem of resources that enable data to be FAIR (Findable, Accessible, Interoperable, and Re-usable) for humans and machines. This ecosystem must include effective, maximally automated stewardship of data, and effective terminologies,  metadata specifications and partnerships.

Following these works the Fifth term of the FAIR-DRR task group proposed the following objectives for the 2022-2023 term.

  • Volunteer Rapid Disaster Monitoring and Mapping in collaboration with Earth-GEO
  • Enhance interdisciplinary data integration using FAIR-DRR’s sequence, partnership with other networks and documenting good practices.
  • Engage with users and sectors for greater alignment and consistency of hazard definitions, standardisation of data loss quantification and risk assessment
  • Demonstrate transdisciplinary approaches linking climate scientists, engineers and sectoral professionals to identify future emerging and complex research using data
  • Capacity building using monthly newsletters, policy papers, conference, webinars and white papers.

In this video, Li Guoqing and Bapon Fakhruddin lay out the key activities and achievements of the Task Group in the past terms, detail their objectives for the next two years and invite participation in FAIR DRR.

Proposals of the Renewed Task Group “Advanced Mathematical Tools for Data-Driven Applied System Analysis”

Fred S. Roberts, Igor Sheremet Co-Chairs

Background: Resilience of Digitized Complex Systems
Today’s society has become dependent on complex systems, enabled by increased digitization of our world and the increasing availability of vast amounts of data, that have had a great impact on virtually all facets of our lives and our societies: enabling our financial transactions, running our power grid, underpinning our transportation systems, empowering our health care, supporting the rapid delivery of supplies and materials. Yet these changes have made us vulnerable to natural disasters, deliberate attacks, just plain errors. A challenge is to develop ways to make our complex systems more resilient. We propose to continue the work of the “Task Group Advanced Mathematical Tools for Data-Driven Applied System Analysis” to address this challenge through the development and refinement of a toolkit of advanced mathematical tools.

Mathematical Tools to Enhance Resilience
Modern technological and sociotechnological systems consist of numerous critical infrastructures that are strongly interconnected, which makes them vulnerable to multiple chain or cascading destructive impacts. Vast amounts of data need to be taken into account in understanding the performance of such infrastructures and their interconnections, and understanding how to make them resilient. Mathematical tools can assist with this and in particular the Task Group will study algorithms for responding to a disruption that will enhance resilience, i.e., minimize the departure from a previous state when things settle down after a disruption.

Mathematical Tools to Design Resilient Systems
In addition to helping us understand how to bring a system back to a normal state as rapidly as possible, mathematical methods can aid us in understanding how to design systems so as to make them more resilient in case of disruption. Modern complex systems may include millions of interconnected components (humans, devices, buildings, etc.), so to design a system with a predefined level of resiliency, it is necessary to represent in some formal way a system’s structure and logic of operation, and to develop an appropriate mathematical and algorithmic toolkit that can provide for efficient search for solutions over the extra-large volumes of data associated with digitized systems in today’s era of Big Data. This is a major goal of our proposed renewed Task Group.

The Task Group’s Approach
In the pages that follow, we describe the basic components of our approach. This consists of taking advantage of a multidisciplinary team, each bringing to the dialogue their own mathematical expertise and tools (whether it be graphs and networks, simulation tools, or the theory of algorithmic decision making), developing ways to share the tools, and studying how to relate them to an organizing component designed around a multiset-based (multigrammatical framework). Pilot software for components of the improved mathematical and knowledge engineering framework will be implemented in standard platforms and carefully documented. We also describe the connection to other Task Groups, to the CODATA Decadal Program, and the collaboration with the International Institute for Applied Systems Analysis (IIASA). The plans for the renewed Task Group are modeled after the successes of our first TG, namely webinars, a workshop, scientific papers, and a research monograph.

Read the full presentation