[CODATA-international] Data for the SDGs and DRR: Virtual SciDataCon 2021 Strand

Asha CODATA asha at codata.org
Wed Oct 13 02:35:57 EDT 2021

Virtual SciDataCon 2021 <https://www.scidatacon.org/virtual-2021/> is
organised around a number of thematic strands.  This is the second of a
series of announcements presenting these strands to the global data
community. Please note that registration is free, but participants must
register for each session they wish to attend.

The Sustainable Development Goals <https://sdgs.un.org/goals> (SDGs) and
the Sendai Framework for Disaster Risk Reduction
lay out ambitious targets to address major global challenges. They require
significant data gathering and integration, not only for official reporting
but also to support the science around each of the SDGs. The SDGs and DRR
are among the most pressing drivers for the application of Open Science and
FAIR data: to support the science needed to monitor, critique and achieve
these targets.

Unsurprisingly, therefore, sessions dealing with data for the SDGs, for DRR
and for other closely related topics feature heavily in the Virtual
SciDataCon programme.

*Harnessing risk-based data for disaster and climate resilience
<https://www.scidatacon.org/virtual-2021/sessions/309/>, Wednesday 20
October, 07:00-08:30 UTC: REGISTER

Data plays acrucial role in addressing a broad spectrum of challenges for
improving risk reduction and sustainable development. Data standardisation,
interoperability,availability, veracity, and accessibility are crucial
techniques to address arange of vulnerability factors acting at the macro
(i.e., national) andcommunity levels. For instance, standardisation of loss
data quantification can assist in identifying gaps in vulnerability or risk
assessment and simultaneously improving risk information. Likewise,
accessing under-utilisedor unexplored data or data sources could be a
valuable resource for assessingvulnerabilities and helping develop adaptive
capacity. The session will discuss the mechanisms and methods on how data
could be made accessible, available, interoperable, and standardised for
climate and disaster risk assessment and a Systematic approach to ensure
data coherence.

*Accelerating South-South Cooperation to unlock the value of data for
development <https://www.scidatacon.org/virtual-2021/sessions/316/>,
Wednesday 20 October, 11:00-12:30 UTC: REGISTER

South-South Cooperation (SSC) is critical to fuel technological innovation
to advance the Data for Development (D4D) agenda and progress towards the
17 Sustainable Development Goals.  However, it is broadly acknowledged that
SSC modalities for harnessing innovations in data for development remain
under-developed. To overcome this deficit, there is a need for more
documentation, discussion, and diffusion of lessons learned to spur
fruitful South-South and Triangular data collaborations. The Thematic
Research Experts Network for Data and Statistics (SDSN/TReNDS), established
in 2015, is global in reach with an objective to leverage knowledge from
both the Global North and South to put innovative data sources to work for
development. This session would draw from TReNDS members’ direct experience
in South-South and Triangular Cooperation processes with the aim of
distilling lessons learned and sparking a broader conversation with
SciDataCon participants about accelerating more fruitful data

*From Sendai to Send Data: Using Hazard Information Profile Data to
understand the impact of hazards
<https://www.scidatacon.org/virtual-2021/sessions/343/>, Wednesday 20
October, 13:00 – 14:30 UTC: REGISTER

With disasters increasing in intensity, severity and impacts across the
globe, improving risk information across all types of hazards is critical
to enhance our capacity to anticipate, prevent and respond to
disaster risks from the local to the global scales. One barrier to sharing
and using risk information effectively has been the lack of standardized
definitions of hazards and a lack of guidance on the full range of hazards
from hydrometeorological, extraterrestrial, geological, environmental,
chemical, biological, technological and  societal that need to be addressed
in risk management. Through the development of a set of over 300
Hazard Information
the Technical Working Group of the UNDRR/ISC Hazard Definition and
Classification Review <https://council.science/publications/hazards/> has
taken a significant step to improve the consistent reporting of hazard data
with benefits for governments, society and science. CODATA will now be
working to make the HIPs into a FAIR Vocabulary, following the guidelines
laid down in the article Ten simple rules for making a vocabulary FAIR
<https://doi.org/10.1371/journal.pcbi.1009041>. This session will provide a
greater understanding of how the Hazard Information Profiles can facilitate
the data underpinning the work of national partners in their ability to
systematically and accurately attribute risks and impacts to hazards which
is key for disaster risk reduction and having a role in enhancing

*Collaborative Systems Modelling for Urban Health
<https://www.scidatacon.org/virtual-2021/sessions/302/>, Thursday 21
October, 07:00-08:30 UTC: REGISTER

Current planetary health conditions culminate and often also originate in
cities. Cities are complex systems which have beneficial but also
detrimental impacts on human health and wellbeing. Collaborative Systems
Modelling (CSM) can help better understand those complex relations and can
provide decision support for urban planners, decision-makers and citizens
on how to plan, manage and make use of urban green spaces. The ISC
Programme for Urban Health and Wellbeing has been exploring a
in relation to CSM. This session will present the rationale, the process
and the outcomes of a Collaborative Systems Modelling Workshop carried out
for a green space in the city of Guangzhou, China. The presentation will be
followed by a panel discussion on the findings of the modelling workshop,
the type and quality of data, the value of a participatory and
collaborative approach and the prospects of the CSM being added to urban
monitoring activities, in order to improve health and wellbeing in cities
and be better prepared for and ideally prevent future health emergencies.

*Sharing Population Data for Infectious Disease Research in Africa
<https://www.scidatacon.org/virtual-2021/sessions/362/>, Thursday 21
October, 16:00-17:30 UTC: REGISTER

This panel will report on activity in African projects around the sharing
of population data coming from HDSS sites and other sources, including the
integration of such data with clinical sources. Several major developments
in this area have occurred, and ongoing projects have continued to evolve.
Built on the foundations of the IMDEPTH and subsequent ALPHA Networks,
INSPIRE has pushed forward in prototyping a data-sharing platform based on
OMOP. The INSPIRE PEACH project is now building analysis tools on top of
this platform in Kenya and Malawi. This initial work was presented at the
International FAIR Convergence Symposium in December 2020, and further
developments in this work are discussed. A major new effort in this space
is also taking shape in the form of the African Population Cohort
Consortium (APCC). This panel will present a high-level view of
these developments, and explore some specific topics of interest within
this frame.

*Making Open Data Work for Small Scale Farmers: A Case for Developing
Countries <https://www.scidatacon.org/virtual-2021/sessions/334/>, Friday
22 October, 11:00-12:30 UTC: REGISTER

Developing countries need to mainstream open data for smart and sustainable
development in various fields. Mainstreaming open data in agriculture
sector can be achieved through linking agricultural research databases,
fostering data sharing, management and interoperability in agricultural
research projects/programmes. Data sharing and innovation has the potential
to promote learning, improve the sustainability and create impact on
household nutrition and food security. The session will feature a set of
short ignition talks on the theme: How can research organizations and
academia make agricultural research open data work for farmers in
developing countries? Case studies include the following: 1) the Pest Risk
Information Service (PRISE) which uses cutting-edge geospatial
infrastructure and state-of-the-art algorithms to deliver solutions
to reduce crop losses caused by pests across six sub-Saharan African
countries; 2) The Kenya Agricultural observatory platform (KAOP) which
gives agricultural institutions access to high resolution geospatial
agro-meteorological data to help policy makers and farmers optimize their
decision making.

*Fishing from an ocean of data to foster the development of a knowledgeable
and ocean friendly society
<https://www.scidatacon.org/virtual-2021/sessions/331/>, Monday 25
October, 11:00-12:30 UTC: REGISTER

An interactive workshop: The goal of the workshop is to explore the role of
researchers and citizens in supporting community led action on
marine sustainability, marine pollution, climate action, and community
resilience through engagement and outreach. Co-designed in collaboration
with European partners and community representatives, the workshop will
explore opportunities and challenges in communication of scientific
information to general public. A series of short introductions from the
panel (including live links and/or recorded video messages from community
groups) will precede group work on creation of dedicated ocean related
actions to promote effective transfer of ocean related knowledge to

*Data Science and Systems Analysis
<https://www.scidatacon.org/virtual-2021/sessions/319/>, Monday 25
October, 13:00-14:30 UTC: REGISTER

Systems analysis is applicable to a wide variety of problems facing our
planet. Its many applications are spurred by the dramatic amount of data
available and the remarkable new tools for using data to make better
decisions and influence policy. This session will explore the interplay
between data science/data analysis and systems analysis by focusing on
complex socio-technological systems involving interactions of people and
man-made devices with the natural environment, and specifically examining
the challenges posed by destructive impacts from changing climates,
droughts and floods, earthquakes, and other natural events, as well as by
human activities including technological catastrophes, acts of terror, and
cyberattacks. The world-wide COVID-19 pandemic illustrates the
vulnerability of our human and economic systems, challenging the ability of
our healthcare system to provide needed services, the resilience of our
supply chains to provide needed goods, and the ability of our social
infrastructure to provide for economic well-being– all examples of issues
that systems analysts address. We will explore the use of advanced
approaches of Big Data collection and deep analytical processing to explore
these problems of systems analysis.

*Data Together Activities Evaluating Landscape Mapping concepts for the
SDGs <https://www.scidatacon.org/virtual-2021/sessions/364/>, Monday 25
October, 16:00-17:30 UTC: REGISTER

This session will explore the Data Together (CODATA, GO FAIR, RDA,
WDS) organisations’ respective activities in relation to data for the SDGs.
Given their commitment to open data science and the FAIR Principles, each
organization can contribute to the availability of data, data management
and re-use of data. Collectively they contribute to the broader global call
for SDG data and as a group, they can synergize their impact for future SDG
evaluations. In addition to identifying collective strengths
and opportunities for collaboration, this session will identify challenges
in facilitating the use of data and data science towards assessing and
achieving the SDGs. Important topics for discussion include the role of
data repositories, the necessary data granularity,
data integration and interoperability, statistical concerns including QA/QC
and linkage with national level data. A panel discussion will consider the
following questions: What is the largest challenge that a data science
organization such as yours faces in getting data science from repositories
incorporated into SDG evaluations? What are some of your most significant
successes? What are the top three ways your organization would prioritize
to expand and enhance the data availability of science data to inform SDGs?

*Virtual SciDataCon 2021 <https://www.scidatacon.org/virtual-2021/> is
organised by CODATA <https://codata.org/> and the World Data System
<https://www.worlddatasystem.org/>, the two data organisations of
the International Science Council <https://council.science/> – PROGRAMME AT
PROGRAMME <https://www.scidatacon.org/virtual-2021/programme/> – please
note that registration is free, but participants must register for each
session they wish to attend.*



<https://codata.org/events/conferences/scidatacon-2021/>** Virtual
SciDataCon 2021, 18-28 Oct: *register free for each session - PROGRAMME AT
 - FULL PROGRAMME <https://www.scidatacon.org/virtual-2021/programme/>

*ISC-UNDRR Hazard Information Profiles Launched*

*Data-Knowledge-Action for Urban Systems:* New Podcast Series

*DEADLINE EXTENDED! Call for Proposals to Host International Data Week
2025: *deadline 31 January 2022

September 2021 publications
the CODATA Data Science Journal <https://datascience.codata.org/>

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Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Council for Science), 5 rue
Auguste Vacquerie, 75016 Paris, FRANCE
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