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DTSTART:20200101T000000
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DTSTART;VALUE=DATE:20210818
DTEND;VALUE=DATE:20210827
DTSTAMP:20260517T224153
CREATED:20240911T110743Z
LAST-MODIFIED:20240915T051903Z
UID:2640-1629244800-1630022399@huc-hkh.org
SUMMARY:Bringing meaning to statistical practice in climate science using R
DESCRIPTION:Objective\nThe Himalayan University Consortium’s (HUC) intensive summer school programme aims to provide participants with an overview of key statistical concepts in environmental science\, and hands-on experience in the use of statistical methods for weather and climate data analysis using R.\n\nParticipants will learn how to apply statistical methods and R to analyze weather and climate data of the Hindu Kush Himalaya (HKH).\n\nThe Summer School will be held over seven days\, punctuated by a self-study break. The programme is also expected to serve as a springboard for the HUC Thematic Working Group on My Climate Risk\, as part of the WCRP’s Lighthouse Activity of the same name\, in which HUC is a collaborating partner.\nExpected participants\nHUC’s Summer School caters to undergraduate students of advanced years or MSc/ME/MA students who have completed at least one course in statistics\, and who are interested in pursuing study in climate science. The programme is also open for students and early-career faculty members who wish to sharpen their analytical and critical thinking skills and meaning-making in the use of statistics.\n\nHUC’s Summer School caters to undergraduate students of advanced years or MSc/ME/MA students have completed at least one course in statistics\, and who are interested in pursuing studies in climate science. The programme is also open for students and early-career faculty members who wish to sharpen their analytical and critical thinking statistical skills.\n\nThis training is open to students from Bhutan\, Nepal\, and Pakistan. From each country\, fifteen participants will be selected on the basis of merit.\n\nThe summer school is free of charge for selected participants. Those who are willing to travel and stay at the in-person locations during the programme will be provided with modest logistics support.\n\nFemale students and faculty and members from under-represented communities are strongly encouraged to apply.\n \nPlatform and in-person sessions\nThe programme will adopt a hybrid modality – combining online lectures and in-person sessions at the co-hosting institutions. Ted Shepherd will be delivering virtual lectures. In-person sessions in Bhutan will be conducted by Dechen Lhamo Gyeltshen\, supervised by Om Katel\, Niraj Poudyal in Nepal\, and Lubna Naz in Pakistan.\n\nThe in-person component will be organized with COVID-19 precautions in consideration of participants’ health and safety. We will implement social distancing norms during the programme and expect that participants will follow all public health guidelines and take personal safety precautions.\n \nFLYER								\n				\n				\n				\n					Instructors/Facilitators				\n				\n				\n				\n					Theodore Shepherd FRSGrantham Professor of Climate Science\nUniversity of Reading\, UK \n\nTheodore (Ted) Shepherd is a climate scientist who specializes in large-scale atmospheric dynamics\, including atmospheric circulation regimes. In recent years\, his interest has focused on how to characterize the uncertainty in this aspect of climate change\, including extreme events\, which led to the development of ‘storyline’ approaches. Shepherd is engaged in inter-disciplinary collaborations and the challenge of bringing meaning to climate information. He also co-leads the World Climate Research Programme’s new Lighthouse Activity ‘My Climate Risk’. 				\n				\n				\n				\n					Dechen Lhamo GyeltshenUniversity of Reading\n(In charge at the CNR Campus\, Bhutan) \n\nDechen Lhamo Gyeltshen is a third-year student\, studying BSc Meteorology and Climate at the University of Reading\, UK. She graduated from Yangchenphug Higher Secondary School (Thimphu\, Bhutan) in 2017\, with a focus on science and math. Following her passion for space weather and extra-terrestrial meteorology\, Gyeltshen pursued Meteorology\, while also picking up an interest in programming (Python and R) and climate change studies.\nShe will be a teaching assistant to Ted Shepherd for this summer programme. 				\n				\n				\n				\n					Om KatelDean\, Research and Industrial Linkages\nCollege of Natural Resources\, Royal University of Bhutan \n\nOm Katel teaches courses on natural resources management\, statistics\, climate change adaptation and mitigation\, integrated watershed management\, and other related courses on environmental conservation. He is also a visiting researcher at the Nagoya University\, Japan\, and a fellow of HUC’s Asia Pacific Water Leadership Programme in April 2018\, which was funded by South Asia Water Initiative II (The World Bank). Katel has a wide range of research interests and substantial experiences in conservation and management\, climate change adaptation\, and the dynamics of ecosystems linking climate change and development. 				\n				\n				\n				\n					Niraj PoudyalAssistant Professor of Econometrics\,\nProgram Coordinator (Economics) Kathmandu University School of Arts \n\nNiraj Poudyal teaches econometrics and macroeconomics at the graduate and undergraduate level. His research areas include statistical adequacy of dynamic stochastic general equilibrium\, and dynamic models based on multivariate student’s t distribution and time series analysis. Poudyal also teaches R with econometrics and data visualization sessions and developed R packages for estimating models. He has extensive experience in running computationally heavy simulations in R for identification tests and risk forecasting in financial markets. He authored the book ‘Disability Atlas for Nepal’ with GIS mapping techniques within R. Poudyal is a PhD graduate from Virginia Tech\, USA with a focus on econometrics. 				\n				\n				\n				\n					Lubna NazAssistant Professor at Department of Economics\nInstitute of Business Administration Karachi\, Pakistan \n\nLubna Naz teaches advanced economic statistics\, applied economics\, and development economics to undergraduate and graduate students. Naz set up the Interdisciplinary Research and Statistical Analysis Lab (KU-LISA) at the University of Karachi in collaboration with the University of Colorado Boulder\, USA\, and has conducted workshops on data visualization\, research proposal writing\, and survey data analysis at KU-LISA. She has published her research on environmental health\, energy consumption and greenhouse gas emission\, child nutrition\, and maternal healthcare in reputable international journals. Naz has a Ph.D. in Economics from Pakistan Institute of Development Economics\, Islamabad.
URL:https://huc-hkh.org/event/bringing-meaning-to-statistical-practice-in-climate-science-using-r/
LOCATION:Online and in-person
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