Monthly Data Science Training Webinars: Workflow-based Data Analysis

RMDS is an ecosystem service provider that empowers data science professionals and businesses worldwide to achieve successful, data-driven results. Our community members have access to tools and resources that enhance their research and increase the success-rate of their work. Our proprietary web platform uses AI-powered recommendations to connect members to online learning, datasets and workflows, and peers within a collaborative environment. Our community extends offline with hands-on training, conferences, and community events. Experience the RMDS ecosystem.

RMDS Lab

Advance your career with workflow-based data analysis. Co-sponsored by Harvard University, RMDS Lab, Future Data Lab, China Data Institute.

Note: All meeting links will be sent out one day before the event.Co-sponsored by the Center for Geographic Analysis of Harvard University, RMDS Lab, Future Data Lab, and China Data Institute, the workflow-based data analysis project aims to provide a new approach for efficient data analysis and replicable, reproducible, and expandable research. The training webinars will discuss the following topics: (1) the objectives of workflow-based data analysis; (2) the comparison of workflow tools for data analysis; (3) the implementation of data analysis workflows for selected case studies; (4) potential extensions and future directions.<h3>What does the price include?</h3><ul><li>synchronous webinars on workflow-based data analysis </li><li>complimentary FREE access to recorded webinars and PPTs</li><li>datasets and workflows for case studies of each topic </li><li>complimentary FREE access to the statistical database on <a href="http://china-data-online.com" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">China Data Online</a> (which usually cost around $500 for each dataset)</li></ul>The registration fee is $68-$98 for each webinar, which will offer (1) one-month complimentary access to recorded webinars and PPTs; (2) data and workflows for case studies; and (3) one-month complimentary access to Statistical Database on China Data Online, or $680-$980 for the year-long program, which will offer (1) one-year complimentary access to those recorded monthly training webinars and PPTs; (2) data and workflows for case studies; and (3) one-year complimentary access to Statistical Database on China Data Online.

<h3>Leading Speakers </h3><ul><li>Dr. Tao Hu, Center for Geographic Analysis at Harvard University.</li><li>Alicia Wei, RMDS Lab</li></ul>

<h3>Schedule </h3>1. Statistical Data Analysis With WorkflowsThursday, October 1st, 2020 at 8:00-9:00am, PSTTopics: <ul><li>The objectives of data analysis workflows;</li><li>The comparison of workflow tools for data analysis;</li><li>The implementation of data analysis workflows for selected case studies with the gov’t statistics of China, which include population and environment, urban and rural development, green energy transition, county-level GDP estimates with nighttime light data;</li><li>Potential extensions and future directions.</li></ul>2. Analysis of Population Census Data &amp; Demographic ChangeThursday, November 6th, 2020, 8:00-9:00am, PSTTopics: <ul><li><a href="https://doi.org/10.1016/j.apgeog.2009.11.001" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The spatial-temporal hierarchy of regional inequality of China </a></li><li><a href="https://academicjournals.org/journal/JEIF/article-full-text/703812363445" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Unconditional convergence of Chinese provinces (1952-2017): Some statistical analysis results </a></li><li><a href="https://www.frontiersin.org/articles/10.3389/fdigh.2019.00017/full" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Quantitative Methods for the Comparative Analysis of Cities in History </a></li><li><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221017" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Growth and development in prefecture-level cities in China </a></li></ul><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221017" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"></a>3. Analysis of Economic Census Data &amp; Industrial ChangeThursday, December 3rd, 2020, 8:00-9:00am, PSTTopics: <ul><li><a href="https://link.springer.com/article/10.1007/s10708-013-9486-x" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Agglomeration and location choice of foreign financial institutions in China</a> </li><li><a href="https://www.sciencedirect.com/science/article/abs/pii/S0166497210000702" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Determinants of industrial innovation in China Evidence from its recent economic census</a> </li><li><a href="https://doi.org/10.1016/j.jdeveco.2011.04.001" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Export sophistication and economic growth: Evidence from China </a></li><li><a href="https://www.sciencedirect.com/science/article/abs/pii/S2452292916300467" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The impact of human and physical capital accumulation on Chinese growth after 1994: A spatial econometric approach</a> </li></ul>4. The Integration of Data and Maps for Spatial AnalysisThursday, January 7th, 2021, 8:00-9:00am, PSTTopics: <ul><li><a href="https://doi.org/10.1111/j.1435-5957.2007.00148.x" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">A Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment </a></li><li><a href="https://doi.org/10.3390/rs70201721" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"> Dynamics of Urbanization Levels in China from 1992 to 2012: Perspective from DMSP/OLS Nighttime Light Data </a></li><li> <a href="https://doi.org/10.1109/JSEN.2016.2640181" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Estimation of Urban Population Dynamics Using DMSP-OLS Night-Time Lights Time Series Sensors Data</a> </li><li><a href="https://doi.org/10.1080/1540496X.2019.1644621" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"> Does FDI Drive Economic Growth? Evidence from City Data in China </a></li></ul>5. Spatial Analysis of Patent DataThursday, January 28th, 2021, 8:00-9:00am, PSTTopics:<ul><li> <a href="https://doi.org/10.1016/j.techfore.2008.12.002" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">A comparison of the spatial distribution of innovative activities in China and the US</a></li><li> <a href="https://doi.org/10.1016/S1043-951X(03)00027-0" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Spillover effects of FDI on innovation in China Evidence from provincial data</a></li><li> <a href="https://doi.org/10.1016/j.techfore.2007.09.004" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Pattern of patent-based environmental technology innovation in China</a></li><li> <a href="https://doi.org/10.1080/00343400050058693" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Spatial Distribution of Patents in China</a></li></ul>6. Spatial Analysis of Health with Statistics and GIS DataThursday, February 25th, 2021, 8:00-9:00am, PSTTopics: <ul><li><a href="https://doi.org/10.3390/ijerph16030493" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Spatial Equity of Multilevel Healthcare in the Metropolis of Chengdu, China: A New Assessment Approach</a></li><li><a href="https://doi.org/10.1371/journal.pone.0150332" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Temporal and Spatial Analysis of Neural Tube Defects and Detection of Geographical Factors in Shanxi Province, China</a></li><li><a href="https://advances.sciencemag.org/content/6/45/eabd4049" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis</a></li><li><a href="https://link.springer.com/article/10.1007/s40031-020-00517-x" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">A Multivariate Spatiotemporal Model of COVID-19 Epidemic Using Ensemble of ConvLSTM Networks</a></li></ul>7. Spatial Analysis of Environment with Statistics and GIS DataThursday, March 25th, 2021, 8:00-9:00am, PSTTopics: <ul><li>Lee, S., &amp; Oh, D. W. (2015). Economic growth and the environment in China: Empirical evidence using prefecture level data. China Economic Review, 36, 73-85..</li><li>Wang, Y. (2010). The analysis of the impacts of energy consumption on environment and public health in China. Energy, 35(11), 4473-4479.</li><li>You, H. (2016). Characterizing the inequalities in urban public green space provision in Shenzhen, China. Habitat International, 56, 176-180.</li><li>Zheng, S., &amp; Kahn, M. E. (2017). A new era of pollution progress in urban China? Journal of Economic Perspectives, 31(1), 71-92.</li></ul>8. Spatiotemporal Analysis of Urban DevelopmentThursday, April 29th, 2021, 8:00-9:00am, PST<ul><li><a href="https://doi.org/10.1007/s12061-016-9185-3" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Spatiotemporal analysis of housing prices in China: a big data perspective. </a></li><li><a href="https://doi.org/10.1007/s11769-009-0126-9" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Spatio-temporal analysis of urban spatial interaction in globalizing China—A case study of Beijing-Shanghai Corridor. </a></li><li><a href="https://doi.org/10.3390/ijgi5030024" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Spatio-Temporal Patterns of Urban-Rural Development and Transformation in East of the Hu Huanyong Line, China. </a></li><li><a href="https://doi.org/10.1177/2399808317690155" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Polycentric urban development in China: A multi-scale analysis. </a></li></ul>9. Spatiotemporal Analysis of Rural DevelopmentThursday, May 27th, 2021, 8:00-9:00am, PST<ul><li><a href="https://doi.org/10.1016/j.jrurstud.2015.01.004" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Spatio-temporal pattern of China&#x27;s rural development: A rurality index perspective</a></li><li><a href="https://doi.org/10.1016/j.habitatint.2009.03.003" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Differentiation of rural development driven by industrialization and urbanization in eastern coastal China</a></li><li><a href="https://doi.org/10.3390/su9071258" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Spatiotemporal Decoupling between Population and Construction Land in Urban and Rural Hubei Province</a></li><li><a href="https://doi.org/10.1016/j.apgeog.2011.02.006" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Analysis of rural transformation development in China since the turn of the new millennium</a></li></ul>10. Human Mobility in Space and TimeThursday, June 24th, 2021, 8:00-9:00am, PST<ul><li>Guo, Y., Yu, H., Zhang, G., &amp; Ma, D. T. (2021). Exploring the impacts of travel-implied policy factors on COVID-19 spread within communities based on multi-source data interpretations. Health &amp; Place, 69, 102538.</li><li>Nielsen, F., Marti, G., Ray, S., &amp; Pyne, S. (2021). Clustering patterns connecting COVID-19 dynamics and Human mobility using optimal transport. Sankhya B, 83(1), 167-184.</li><li>Wang, S., Liu, Y., &amp; Hu, T. (2020). Examining the change of human mobility adherent to social restriction policies and its effect on COVID-19 cases in Australia. International journal of environmental research and public health, 17(21), 7930.</li><li>Chan, K. W. (2012). Migration and development in China: trends, geography and current issues. Migration and Development, 1(2), 187-205.</li></ul>11. Spatiotemporal Analysis of Culture and SocietyThursday, July 22nd, 2021, 8:00-9:00am, PST12. Future Data Analysis: New Development and DirectionsThursday, August 19th, 2021, 8:00-9:00am, PST

<h3>About RMDS Lab</h3>Global Association for Research Methods and Data Science is the leading community-centered data science research organization. Our global platform enables people to meet, learn, and collaborate with fellow data science professionals to solve problems. RMDS Lab was founded in 2009 by IBM Chief Data Scientist Alex Liu and is headquartered in Pasadena, CA with partners worldwide. It serves more than 35,000 members and affiliates around the world. In December 2019, RMDS has successfully held “IM Data” annual conference in the Pasadena Convention Center with 2000+ attendees from all over the world. For more information, visit www.grmds.org.<h3>About Future Data Lab</h3>Future Data Lab (http://futuredatalab.org) is designed for providing a new generation of data services with cutting-edge methodology and technology. Its missions are: to support research in the human and natural components of local, regional and global change; to promote quantitative-research on spatial evolution and global change; to promote collaborative research in spatial and global studies; and to promote the use and sharing of new data sources in teaching and research.The Future Data Lab is partnering with different academic and business partners for data, tools and data case studies.

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