<div dir="ltr"><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><a href="https://www.scidatacon.org/virtual-2021/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none"><img class="gmail-alignright gmail-wp-image-7242" src="https://codata.org/wp-content/uploads/2021/09/virtualscidatacon2021.png" alt="" width="553" height="68" style="box-sizing: border-box; margin: 0px 0px 0px 15px; padding: 0px; border: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; max-width: 100%; height: auto; float: right; display: inline;">Virtual SciDataCon 2021</a> 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.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">The <a href="https://sdgs.un.org/goals" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Sustainable Development Goals</a> (SDGs) and the <a href="https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Sendai Framework for Disaster Risk Reduction</a> (DRR) 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.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">Unsurprisingly, therefore, sessions dealing with data for the SDGs, for DRR and for other closely related topics feature heavily in the Virtual SciDataCon programme.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/sessions/309/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Harnessing risk-based data for disaster and climate resilience</a>, Wednesday 20 October, 07:00-08:30 UTC: <a href="https://us02web.zoom.us/meeting/register/tZUufu-urzMjGNahxTSTDZj9xgUUXXHMuRWj" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">REGISTER</a></b></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">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.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/sessions/316/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Accelerating South-South Cooperation to unlock the value of data for development</a>, Wednesday 20 October, 11:00-12:30 UTC: <a href="https://us02web.zoom.us/meeting/register/tZIpdeiuqjoiGtJnpNV29RZ8B79DtqCZdAFZ" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">REGISTER</a></b></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">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 collaborations.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/sessions/343/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">From Sendai to Send Data: Using Hazard Information Profile Data to understand the impact of hazards</a>, Wednesday 20 October, 13:00 – 14:30 UTC: <a href="https://us02web.zoom.us/meeting/register/tZAtceGvqj0qH9372BO3nO1w9a-8iUrYWTbG" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">REGISTER</a></b></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">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 <a href="https://council.science/wp-content/uploads/2020/06/Hazard-Information-Profiles-Supplement-to-UNDRR-ISC-Hazard-Definition-Classification-Review-Technical-Report-2021.pdf" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Hazard Information Profiles</a>, the Technical Working Group of the <a href="https://council.science/publications/hazards/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">UNDRR/ISC Hazard Definition and Classification Review</a> 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 <a href="https://doi.org/10.1371/journal.pcbi.1009041" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Ten simple rules for making a vocabulary FAIR</a>. 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 resilience.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/sessions/302/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Collaborative Systems Modelling for Urban Health</a>, Thursday 21 October, 07:00-08:30 UTC: <a href="https://us02web.zoom.us/meeting/register/tZUpce2tqzwiG91XzEJ-8sShw10JnYzj2st4" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">REGISTER</a></b></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">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 <a href="https://codata.org/initiatives/data-skills/codata-connect/cag-cept-codata-and-uhwb-podcast-series-on-data-knowledge-action-for-urban-systems/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Data-Knowledge-Action</a> methodology 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.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/sessions/362/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Sharing Population Data for Infectious Disease Research in Africa</a>, Thursday 21 October, 16:00-17:30 UTC: <a href="https://us02web.zoom.us/meeting/register/tZEvc-isrDsqE9ZceowLeXtFGxHVyE5tDkZx" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">REGISTER</a></b></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">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.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/sessions/334/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Making Open Data Work for Small Scale Farmers: A Case for Developing Countries</a>, Friday 22 October, 11:00-12:30 UTC: <a href="https://us02web.zoom.us/meeting/register/tZckc-GrqDIoGtbdKEURTjZv5ix3YgZ6bXDN" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">REGISTER</a></b></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">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.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/sessions/331/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Fishing from an ocean of data to foster the development of a knowledgeable and ocean friendly society</a>, Monday 25 October, 11:00-12:30 UTC: <a href="https://us02web.zoom.us/meeting/register/tZIlce2pqTwqE9CeNfnJ-CqMXN4P2drrgwLn" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">REGISTER</a></b></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">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 citizens.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/sessions/319/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Data Science and Systems Analysis</a>, Monday 25 October, 13:00-14:30 UTC: <a href="https://us02web.zoom.us/meeting/register/tZModeGorDgvHdTpuGEC3zaDXOBlQFMpHeXe" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">REGISTER</a></b></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">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.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/sessions/364/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Data Together Activities Evaluating Landscape Mapping concepts for the SDGs</a>, Monday 25 October, 16:00-17:30 UTC: <a href="https://us02web.zoom.us/meeting/register/tZ0sf-2hpzguH9MjgYJmJzpdyJMcPemWzcFh" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">REGISTER</a></b></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">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?</p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><a href="https://www.scidatacon.org/virtual-2021/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">Virtual SciDataCon 2021</a><span style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(0,0,0)"> is organised by </span><a href="https://codata.org/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">CODATA</a><span style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(0,0,0)"> and the </span><a href="https://www.worlddatasystem.org/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">World Data System</a>,<span style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(0,0,0)"> the two data organisations of the </span><a href="https://council.science/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">International Science Council</a> – <a href="https://codata.org/wp-content/uploads/2021/09/SciDataCon2021-Programme_Registration.pdf" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">PROGRAMME AT A GLANCE</a> – <a href="https://www.scidatacon.org/virtual-2021/programme/" target="_blank" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">FULL PROGRAMME</a> – please note that registration is free, but participants must register for each session they wish to attend.</b></p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent"><br></b></p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent">Thanks,</b></p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><b style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent">Asha</b></p>--<div style="color:rgb(0,0,0)"><div style="overflow-wrap: break-word;">___________________________<br></div><div style="overflow-wrap: break-word;"><div><br></div></div><b><a href="https://codata.org/events/conferences/scidatacon-2021/" target="_blank">REGISTRATION OPEN!</a></b><b> Virtual SciDataCon 2021, 18-28 Oct: </b>register free for each session - <a href="https://codata.org/wp-content/uploads/2021/09/SciDataCon2021-Programme_Registration.pdf" target="_blank">PROGRAMME AT A GLANCE</a> - <a href="https://www.scidatacon.org/virtual-2021/programme/" target="_blank">FULL PROGRAMME</a></div><div style="color:rgb(0,0,0)"><br></div><div style="color:rgb(0,0,0)"><a href="https://codata.org/isc-undrr-hazard-information-profiles-launched/" target="_blank"><b>ISC-UNDRR Hazard Information Profiles Launched</b></a></div><div style="color:rgb(0,0,0)"><br><div style="overflow-wrap: break-word;"><b>Data-Knowledge-Action for Urban Systems:</b> <a href="https://codata.org/initiatives/data-skills/codata-connect/cag-cept-codata-and-uhwb-podcast-series-on-data-knowledge-action-for-urban-systems/" target="_blank">New Podcast Series from CAG-CEPT, CODATA and UHWB</a></div><div style="overflow-wrap: break-word;"><br></div><div style="overflow-wrap: break-word;"><div><b>DEADLINE EXTENDED! Call for Proposals to Host International Data Week 2025: </b><a href="https://internationaldataweek.org/call-for-applications/" target="_blank">deadline 31 January 2022</a></div><div><br></div><div><a href="https://codata.org/september-2021-publications-in-the-data-science-journal/" target="_blank">September 2021 publications</a> in the <a href="https://datascience.codata.org/" target="_blank">CODATA Data Science Journal</a></div></div><div style="overflow-wrap: break-word;"><div><br></div><div><b>Stay in touch with CODATA:</b></div><div></div><div><br></div><div>Stay up to date with CODATA activities: <a href="http://lists.codata.org/mailman/listinfo/codata-international_lists.codata.org" target="_blank">join the CODATA International News list</a></div><div><br></div><div>Looking for training and career opportunities in data science and data stewardship?  <a href="http://lists.codata.org/mailman/listinfo/data_science_training_lists.codata.org" target="_blank">Sign up to the CODATA early career community-run data science training and careers list</a></div><div><br></div></div></div><div><span style="color:rgb(0,0,0)">Follow us on social media! </span><a href="https://twitter.com/CODATANews" target="_blank">Twitter</a><span style="color:rgb(0,0,0)"> - </span><a href="https://www.facebook.com/codata.org/" target="_blank">Facebook</a><span style="color:rgb(0,0,0)"> - </span><a href="https://www.linkedin.com/in/simon-hodson-b3711a11/" target="_blank">LinkedIn</a><span style="color:rgb(0,0,0)"> - </span><a href="https://www.instagram.com/codatainternational/" target="_blank">Instagram</a>  <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr" style="font-size:small"><div style="font-size:12.8px"><div style="color:rgb(0,0,0)">___________________________<br></div></div></div><div dir="ltr" style="font-size:small"><br></div><div dir="ltr" style="font-size:small">Asha Law | Program Assistant, CODATA | <a href="http://www.codata.org/" style="color:rgb(17,85,204)" target="_blank">http://www.codata.org</a></div><div dir="ltr" style="font-size:small"><br></div><div dir="ltr" style="font-size:small">E-Mail: <a href="mailto:asha@codata.org" style="color:rgb(17,85,204)" target="_blank">asha@codata.org</a><br></div><div dir="ltr" style="font-size:small">Tel (Office): +33 1 45 25 04 96</div><div dir="ltr" style="font-size:small"><br></div><div dir="ltr" style="font-size:small">CODATA (Committee on Data of the International Council for Science), 5 rue Auguste Vacquerie, 75016 Paris, FRANCE</div></div></div></div></div></div></div></div></div></div></div></div></div>