BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Overview of http://CASABIO.org\, The First Vertically Integrated C itizen Science Platfor DTSTART;VALUE=DATE-TIME:20211201T134500Z DTEND;VALUE=DATE-TIME:20211201T141500Z DTSTAMP;VALUE=DATE-TIME:20260608T104809Z UID:indico-contribution-536-1525@events.chpc.ac.za DESCRIPTION:Speakers: David Gwynne-Evans (CASABIO.org)\nCASABIO is a citiz en science platform currently focused on African plants. A number of innov ations have been pioneered by CASABIO and these are showcased in the prese ntation. Most importantly CASABIO is the only platform to create a workflo w that allows one to efficiently go from field observation to label. In ad dition\, there are a number of protective features aimed at protecting pla nts in the field from poaching. This is becoming increasingly critical wit h the poaching that is currently taking place in the arid regions of South Africa. CASABIO is also an organisation with a number of assets aimed at facilitating research. We will be publicly revealing for the first time so me of these assets.\n\nhttps://events.chpc.ac.za/event/98/contributions/15 25/ LOCATION: URL:https://events.chpc.ac.za/event/98/contributions/1525/ END:VEVENT BEGIN:VEVENT SUMMARY:Processing longitudinal population data using CHPC DTSTART;VALUE=DATE-TIME:20211201T131500Z DTEND;VALUE=DATE-TIME:20211201T134500Z DTSTAMP;VALUE=DATE-TIME:20260608T104809Z UID:indico-contribution-536-1524@events.chpc.ac.za DESCRIPTION:Speakers: Kobus Herbst (SAPRIN)\nThe South African Population Research Infrastructure Network (SAPRIN) curates longitudinal population d ata collected by four nodes from a total population of more than 400 000 i ndividuals. Due to the dynamic nature of these study populations data repr esenting episodes of individual surveillance needs to be combined in a way that maintains data integrity and takes into account variations between d ata collection sites.\n\nWe need to deconstruct 4\,5 million person years of observation into a day level dataset\, requiring the kind of processing and storage capacity provided by a high performance computing environment such as CHPC. \n\nWe will describe a data processing pipeline\, originall y developed in Pentaho and recently converted to the julia programming lan guage which scales well on the CHPC environment.\n\nhttps://events.chpc.ac .za/event/98/contributions/1524/ LOCATION: URL:https://events.chpc.ac.za/event/98/contributions/1524/ END:VEVENT BEGIN:VEVENT SUMMARY:Smart Spectrum Sharing (S3): Toolboxes to Support Efficient Utilis ation of the National Spectrum Resources DTSTART;VALUE=DATE-TIME:20211201T123000Z DTEND;VALUE=DATE-TIME:20211201T130000Z DTSTAMP;VALUE=DATE-TIME:20260608T104809Z UID:indico-contribution-536-1537@events.chpc.ac.za DESCRIPTION:Speakers: Luzango Mfupe (CSIR)\nThe demand by consumers for ac cess to ubiquitous and affordable communication services including the ap plications of the fourth industrial revolution\, with the need to connect everything to the internet (machine-to-machine\, and human-to-machine comm unications) is exponentially growing in both speed and volume. Radio frequ ency (RF) spectrum is a finite resource of the national ICT infrastructure necessary for enabling exchange of information. In most developing countr ies\, wireless communication technologies remain the cost-effective and pr eferred solution for providing broadband communication networks due to the lack of\, or limited coverage of fixed communication infrastructures such as fiber optic cables which is attributable to the high investment costs. However\, the deployment of wireless network infrastructure depends on th e availability of RF spectrum. As such\, the demand for access to RF spect rum continues to increase and therefore necessitates for an efficient util isation of it. Unfortunately\, the dominant RF spectrum access techniques and management regimes are inefficient since they are based on the tradit ional command-and-control approaches\, which are static in nature. The use of such (outdated) regimes has resulted into an “artificial” scarcity of RF spectrum. This artificially created scarcity leads to two main prob lems: i) limited or inadequate access to RF spectrum\, and ii) high cost o f network deployment which translates to high cost of data. Both these pro blems have a negative impact towards deploying wireless broadband networks for provisioning of universal broadband and communications infrastructure s to the needy communities. The CSIR Smart Spectrum Sharing (S3) platfor m is meant to make available efficient RF spectrum utilisation toolboxes t o stakeholders in the telecommunication sector value chain including the n ational regulators\, network operators and policy-makers to support the ef forts to reduce the cost of communications and easy the barrier of entry i n the telecommunication sector.\n\nhttps://events.chpc.ac.za/event/98/cont ributions/1537/ LOCATION: URL:https://events.chpc.ac.za/event/98/contributions/1537/ END:VEVENT BEGIN:VEVENT SUMMARY:CSIR CHPC support during the National Department of Health Communi ty Health Worker Covid-19 Household Screening Campaign DTSTART;VALUE=DATE-TIME:20211201T120000Z DTEND;VALUE=DATE-TIME:20211201T123000Z DTSTAMP;VALUE=DATE-TIME:20260608T104809Z UID:indico-contribution-536-1526@events.chpc.ac.za DESCRIPTION:Speakers: Herman le Roux (CSIR)\nDuring the start of the Covid -19 pandemic last year\, the National Department of Health launched a numb er of initiatives to combat the spread of the virus. One such initiative w as to conduct household screenings during Lockdown Level 5. This entailed using Community Health Workers to conduct Household Screenings. A basic qu estionnaire was defined and deployed using the Cmore platform. The latter is a collaboration and shared situation awareness platform developed by th e CSIR. It has web and mobile applications. The latter was configured to c ollect screening data entered by approximately 25\,000 Community Health Wo rkers\, which overloaded the existing Cmore production infrastructure host ed in the CSIR ICT Data Centre (on dedicated hardware). Since the health w orkers were deployed across all 9 provinces\, the decision was made to spl it the deployment into 10 servers\, thus 9 provinces plus a spare for nati onal. The CSIR CHPC team got onboard\, and configured 10 servers\, each wi th 164GB RAM\, 32 vCPUs\, and approx. 100GB disk space. This was done in l ess than two weeks. However\, the difficult part was to get an operational copy of the Cmore platform with all its configured data onto the 10 serve rs. This required some innovative approaches\, but the servers were deploy ed\, and more than 3m household screening records collected. 4 of the 10 s ervers remain active\, now for other Covid-19 related deployments in suppo rt of Western Cape Government Health\, Gauteng Province Department Roads & Transport and the National Institute for Occupational Health.\n\nhttps:// events.chpc.ac.za/event/98/contributions/1526/ LOCATION: URL:https://events.chpc.ac.za/event/98/contributions/1526/ END:VEVENT END:VCALENDAR