MBD Placement Brochure 2021
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ICT in the Kosovo National Statistical System - Baseline Review and Recommendations for Development
UNDP Kosovo UNKT Technical assistance to the IT department of the Kosovo Agency of Statistics (KAS) Technical analysis of information technology in the national statistical system ICT in the Kosovo National Statistical System - Baseline review and Recommendations for development April 2013 by Arij Dekker, Consultant in statistical data processing and management [email protected] ICT in the Kosovo National Statistical System - Baseline review and Recommendations for development 1 Contents List of Acronyms ...................................................................................................................................... 3 Executive Summary ................................................................................................................................. 5 Chapter 1. Introduction ..................................................................................................................... 7 Chapter 2. Methods of information gathering .................................................................................... 9 2.1 Description of interview partners and question clusters ........................................................... 9 2.2 Other information sources ..................................................................................................... 12 Chapter 3. The present state of ICT in the Kosovo national statistical system ................................... 14 3.1 Summary of information gathered from the interviews ......................................................... -
On New Data Sources for the Production of Official Statistics
On new data sources for the production of official statistics David Salgado1,2 and Bogdan Oancea3 1Dept. Methodology and Development of Statistical Production, Statistics Spain (INE), Spain 2Dept. Statistics and Operations Research, Complutense University of Madrid, Spain 3Dept. Business Administration, University of Bucharest, Romania February 7, 2020 Abstract In the past years we have witnessed the rise of new data sources for the potential production of official statistics, which, by and large, can be classified as survey, administrative, and digital data. Apart from the differences in their generation and collection, we claim that their lack of statistical metadata, their economic value, and their lack of ownership by data holders pose several entangled challenges lurking the incorporation of new data into the routinely production of official statistics. We argue that every challenge must be duly overcome in the international community to bring new statistical products based on these sources. These challenges can be naturally classified into different entangled issues regarding access to data, statistical methodology, quality, information technologies, and management. We identify the most relevant to be necessarily tackled before new data sources can be definitively considered fully incorporated into the production of official statistics. Contents 1 Introduction 2 2 Data: survey, administrative, digital 3 2.1 Somedefinitions ..................................... .... 3 2.2 Statisticalmetadata ................................ ....... 4 2.3 Economicvalue..................................... -
Indian Languages Move Up
September 1-15, 2019 Volume 8, Issue 5 `100 INDIAN LANGUAGES MOVE UP 20 The Quint, BBC News Hindi and ALTBalaji were big winners in a year which saw a sharp rise in Indian languages entries. Gold Partners Technology Partner Silver Partner Bronze Partners Chamber Partner Streaming Partner EDITORIAL This fortnight... Volume 8, Issue 5 y favourite professor back at university, used to love saying – to understand EDITOR Sreekant Khandekar M something well, either do it 100 times in a row or do it annually, thrice. PUBLISHER September 1-15, 2019 Volume 8, Issue 5 `100 Of course, the choice depends on the object of interest; if it’s about mastering a Sreekant Khandekar INDIAN LANGUAGES mathematics formula then the former, if it’s about analysing monsoon clouds, the EXECUTIVE EDITOR MOVE UP latter. I thought of her now because as we concluded the third edition of Digipub Ashwini Gangal World recently, our annual convention on the business of online publishing, PRODUCTION EXECUTIVE Andrias Kisku I finally felt like I was starting to understand this complex world – cohabited ADVERTISING ENQUIRIES by publishers, advertisers, agencies, tech platforms, ad exchanges, ad networks, Shubham Garg fraudsters, and consumers – a touch better. 81301 66777 (M) Noida 20 Apoorv Kulshrestha Directional trends are beginning to stand out and recurring themes of discussion 9873824700 (M) The Quint, BBC News Hindi and ALTBalaji were big winners in a year which saw a sharp rise in Indian languages entries. are very telling. For instance, this year, for a third consecutive time, we analysed the Noida problems facing Indian language publishers; though the demand for local language Nikhil Jhunjhunwala 9833371393 (M) Gold Partners Technology Partner Silver Partner Bronze Partners Chamber Partner Streaming Partner content is soaring, monetisation remains a challenge. -
September Vs October
CONTENT FOOD - Page 3 HOW-TO-STYLE - Page 6 NEW - AGE ENTERTAINMENT - Page 9 TRADITIONAL – ENTERTAINMENT - Page 12 NEW-AGE NEWS - Page 15 TRADITIONAL NEWS - Page 18 INDEPENDENT CREATORS - Page 21 SPORTS CREATORS - Page 24 2 FOOD 3 FACEBOOK PAGE RANKINGS SEPTEMBER VS OCTOBER RANK SEPTEMBER VIDEO VIEWS OCTOBER VIDEO VIEWS 1 Hebbar's Kitchen Hebbar's Kitchen 2 Yum Yum 3 Home cooking Tamil Village Food Factory 4 Tamil Village Food Factory Home cooking 5 Gobble Jolly Food Fellow 6 My Recipe Panda Curly Tales 7 Curly Tales Gobble 8 FoodMate FoodMate 9 Jolly Food Fellow My Recipe Panda 10 Your Food Lab Your Food Lab 4 SEPTEMBER VS OCTOBER FACEBOOK MONTHLY VIDEO VIEWS COMPARISON 150 100 MILLIONS 50 0 Hebbar's Tamil Village My Recipe Jolly Food Yum Home cooking Gobble Curly Tales FoodMate Your Food Lab Kitchen Food Factory Panda Fellow SEPT - VIEWS 123,787,818 58,054,788 48,440,888 33,570,856 32,979,119 31,206,683 29,796,679 25,418,397 24,062,788 22,906,802 120 100 80 60 MILLIONS 40 20 0 Hebbar's Tamil Village Jolly Food My Recipe Yum Home cooking Curly Tales Gobble FoodMate Your Food Lab Kitchen Food Factory Fellow Panda OCT - VIEWS 95,267,980 60,678,488 47,271,329 42,948,336 37,311,408 33,204,053 31,410,003 30,091,983 24,363,187 22,332,327 Lost top 10 rakings for the month of October New entrant due to improved viewership 5 HOW - TO- S T Y L E 6 FACEBOOK PAGE RANKINGS SEPTEMBER VS OCTOBER RANK SEPTEMBER VIDEO VIEWS OCTOBER VIDEO VIEWS 1 Glamrs Glamrs 2 Art All The Way Wedding Style 3 TheHauterfly Art All The Way 4 Wedding Style TheHauterfly -
Software Developer
PINKY MONONYANE SOFTWARE DEVELOPER https://www.pinkymononyane.info PROFILE English, Sotho, Tsonga, Tswana, Venda, N. Sotho 33 Years old, Black Female with no disability I have 9 years’ programming experience with professional skills that could fill a South African Citizen, ID Number: 871020 0461 08 1 bucket 10 times over, with few honorable mentions such as HTML, B – Light Vehicles 750kg to 3500kg CSS3, Python (I have more than 5 years Single of Experience in Django framework. I have been developing small to medium projects even before my latest position ADDRESS & CONTACT INFO at BCM), Php and Java Script with keen attention to details, Phone Number: +27 78 968 2362 plus a well dynamic personality that appeals to most that I have had a Home Address Recent / Previous pleasure working/collaborating with. Work Address 684 Lievaart Point to note... Challenges is what I live, Street 145 Second Street breath and seek, for it's in those that's Proclamation Hill Parkmore where personal growth is found. Pretoria, Gauteng Sandton 0183 2052 Furthermore I constantly look for more knowledge related to my field; as such I Email Address: [email protected] have enrolled in Computer Science BSc Degree at UNISA, as they say knowledge CAREER STATUS is like an endless river flow. Can't have 2013-2019 Data Developer: 7 Years’ Experience enough: P. Languages:- So when I'm nowhere to be found rest Python, CSpro, SSRS, SQL Server, R-Statistics, SAS, Server assured you can find me programming a interaction, security and management under various software on my friendly computer or out environments (Linux, Windows and Windows server) on a hunt for further knowledge and if not I’m probably out travelling and 2020-2020 Software Developer: 9 Months Formal Experience spending time with my loved ones. -
Comparison Between Census Software Packages in the Context of Data Dissemination Prepared by Devinfo Support Group (DSG) and UN Statistics Division (DESA/UNSD)
Comparison between Census software packages in the context of data dissemination Prepared by DevInfo Support Group (DSG) and UN Statistics Division (DESA/UNSD) For more information or comments please contact: [email protected] CsPro (Census and Survey Redatam (REtrieval of DATa for CensusInfo DevInfo* SPSS SAS Application Characteristics Processing System) small Areas by Microcomputer) License Owned by UN, distributed royalty-free to Owned by UN, distributed royalty-free to CSPro is in the public domain. It is Version free of charge for Download Properitery license Properitery license all end-users all end-users available at no cost and may be freely distributed. It is available for download at www.census.gov/ipc/www/cspro DATABASE MANAGEMENT Type of data Aggregated data. Aggregated data. Individual data. Individual data. Individual and aggregated data. Individual and aggregated data. Data processing Easily handles data disaggregated by Easily handles data disaggregated by CSPro lets you create, modify, and run Using Process module allows processing It allows entering primary data, define It lets you interact with your data using geographical area and subgroups. geographical area and subgroups. data entry, batch editing, and tabulation data with programs written in Redatam variables and perform statistical data integrated tools for data entry, applications command language or limited Assisstants processing computation, editing, and retrieval. Data consistency checks Yes, Database administration application Yes, Database administration -
Retrospective Analysis of Plagiaristic Practices Within a Cinematic Industry in India – a Tip in the Ocean of Icebergs
Retrospective analysis of plagiaristic practices within a cinematic industry in india – a tip in the ocean of icebergs Item Type Article Authors Sivasubramaniam, Shiva D; Paneerselvam, Umamaheswaran; Ramachandran, Sharavan Citation Umamaheswaran, P., Ramachandran, S. and Sivasubramaniam, S.D., (2020). 'Retrospective Analysis of Plagiaristic Practices within a Cinematic Industry in India–a Tip in the Ocean of Icebergs'. Journal of Academic Ethics, pp.1-11. DOI: 10.1007/ s10805-020-09360-7 DOI 10.1007/s10805-020-09360-7 Publisher Springer Journal Journal of Academic Ethics Download date 27/09/2021 02:43:07 Link to Item http://hdl.handle.net/10545/624527 Journal of Academic Ethics https://doi.org/10.1007/s10805-020-09360-7 Retrospective Analysis of Plagiaristic Practices within a Cinematic Industry in India – aTip in the Ocean of Icebergs Paneerselvam Umamaheswaran1 & Sharavan Ramachandran2 & Shivadas D. Sivasubramaniam3 # The Author(s) 2020 Abstract Music plagiarism is defined as using tune, or melody that would closely imitate with another author’s music without proper attributions. It may occur either by stealing a musical idea (a melody or motif) or sampling (a portion of one sound, or tune is copied into a different song). Unlike the traditional music, the Indian cinematic music is extremely popular amongst the public. Since the expectations of the public for songs that are enjoyable are high, many music directors are seeking elsewhere to “borrow” tunes. Whilst a vast majority of Indian cinemagoers may not have noticed these plagiarised tunes, some journalists and vigilant music lovers have noticed these activities. This study has taken the initiative to investigate the extent of plagiaristic activities within one Indian cinematic music industry. -
Economic Terrorism
Eye on the News [email protected] Truthful, Factual and Unbiased Vol:X Issue No: 34 Price: Afs.20 Weekend Issue, Sponsored by Etisalat FRIDAY . AUGUST 30. 2019 - Sunbula 08, 1398 H.S www.facebook.com/ afghanistantimes www.twitter.com/ afghanistantime JALALABAD: Two civilians have been killed and another six wounded when a mortar shell hit their home in Surkh Road district of eastern Nangarhar KABUL: Russia is ready to play province, an official said on the role of witness or guarantor of Thursday. possible peace agreement between KABUL: US Ambassador John ty which had been providing Sa- Attaullah Khogyani, the the US and Taliban if requested, a Bass on Thursday criticised the laam telecom services was dam- governor’s spokesman, told Pa- state media reported. “The Rus- Taliban over destroying telecom aged as a result of bomb blast in jhwok Afghan News the inci- sian side is ready to be the third and other infrastructures at a southeastern Khost province. dent happened in Khosa Chini party at the signing or a guarantor time when peace talks are under- On the other hand, the Tal- area of the district late on of how the deal between the Unit- way. The top US diplomat tweet- iban militants had destroyed a Wednesday night. He said two ed States and the Taliban move- ed: “Taliban say they want peace tower of Salaam in central Maid- people were killed and six oth- ment is implemented,” the TASS and that we are close to a deal an Wardak province. The group ers wounded in the mortar at- news agency quoted ministry that promotes a settlement, but also claimed responsibility for tack for which he blamed Tali- spokeswoman Maria Zakharova as at the same time they are de- destroying Salaam antenna and ban militants. -
Saidou Hamadou
SAIDOU HAMADOU Contact address: P.O.Box : 707 Yaoundé (Cameroon) Telephone: Cameroon : (237) 677 71 94 98 / 697 42 42 32 Email: [email protected] [email protected] Summary Over 11 years of experience in managing data, conducting health and/or demographic surveys in many countries in Central and West Africa Over 08 years of experiences in implementing and evaluating result-based financing in Cameroon, Burkina-Faso, Liberia, Republic of Congo, Democratic Republic of Congo, Chad, Djibouti and Haïti ; 03 years of experiences with Service Delivery Indicators (SDI) surveys Member of many research projects in Africa and in the World Fluent in French and speaks enough English Education University of Paris-Dauphine (FRANCE) 2018 PhD dissertation : „Poverty, Malaria and Health System Reforms in Africa: Three Studies Applied in Cameroon’ Doctoral advisors: Pr. Sandrine MESPLE-SOMPS and Dr. Anne-Sophie ROBILLIARD Institute for Training and Demographic Research (IFORD)(CAMEROUN) 2007-2009 Professional master in Demography, Master‟s Thesis: Dynamics of the relationship between standard of living of households and diarrhea- related morbidity in children of less than three years in Cameroon University of YAOUNDÉ I (CAMEROUN) 2005-2006 Master's degree in computer science - Option: Calculation scientific, Master‟s degree thesis: The securing of data circulation in a local network of enterprise by the CRYPTOGRAPHY University of NGAOUNDÉRÉ (CAMEROUN) 2004-2005 Bachelor of science and technical information (STI) - Option: Calculation scientific, -
Objectives Overview of Data Management Tools
Data Management: Collecting, Protecting and Managing Data Presented by Andre Hackman Johns Hopkins Bloomberg School of Public Health Department of Biostatistics July 17, 2014 Objectives • Review of available database and data management tools and their capabilities • Demonstrate examples of good data management • Discuss strategies and good practice for data security and backup • Discuss data conversion and transfer options Overview of Data Management Tools Types of data management tools to consider Type of tool Examples Spreadsheet Microsoft Excel Google Docs Spreadsheet Open Office Calc Desktop database Microsoft Access Filemaker Pro Specialized databases Epi Info, CSPro, EpiData Web database REDCap OpenClinica Mobile data collection Open Data Kit, CommCare, Magpi, iFormBuilder, 1 Choosing a data management tool… Pick the tool that is appropriate for the data needs of the project • What will be the challenges you face with each tool? – Complexity and scale of the data being collected • Is it longitudinal data with many time points? • What is the expected number of records? Choosing a data management tool… Pick the tool that is appropriate for the data needs of the project • What will be the challenges you face with each tool? – Complexity and scale of the data being collected – Mixture of collection modes: mobile, kiosk, and computer entry. • How will data flow between them? Choosing a data management tool… Pick the tool that is appropriate for the data needs of the project • What will be the challenges you face with each tool? – Complexity and scale of the data being collected – Mixture of collection modes: mobile, kiosk, and computer entry. – Complexity of the data entry forms 2 Choosing a data management tool… Pick the tool that is appropriate for the data needs of the project • What will be the challenges you face with each tool? – Complexity and scale of the data being collected – Mixture of collection modes: mobile, kiosk, and computer entry. -
Planning Checklist
CHAPTER 2 Planning Checklist Reproductive Health Assessment Toolkit for Conflict- Affected Women well-devised plan is needed to ensure suc data collection, data cleaning, analysis, report Acessful implementation of the Toolkit. The writing, and dissemination of findings. planning process should be initiated prior to Secure funding. securing funding. The amount of time required for the planning process will vary based on your D. Prepare locator form and questionnaire. organization’s existing infrastructure and resources. Consider this checklist a model that can be Modify country-specific responses on ques adapted as necessary to meet your specific needs tionnaire. This may require technical assis and situation. You can also change the sequence tance from DRH. of activities as needed. For example, you could Modify country-specific fields on the locator conduct field-level planning before initiating form. national-level planning. Translate locator form and questionnaire into the local language, using translators who are Part I. National-level planning able to read and write both English and the local language. A. Select a site to conduct survey. Criteria for selection include: Back-translate forms into English to ensure they were translated correctly. Availability of a reasonable estimate of popu lation size Revise translated forms as needed. (This normally occurs during training and the pilot A stable, post-emergency population with no test, with input from the survey team.) major influx or outflow of people Finalize standard local-language version of Availability of basic reproductive health the locator form and questionnaire. services B. Engage national-level stakeholders. Part II. Field-level planning Engage potential stakeholders, such as: National government agencies responsible A. -
Reconciling Food, Energy, and Environmental Outcomes: Three Essays on the Economics of Biomass Management in Western Kenya
RECONCILING FOOD, ENERGY, AND ENVIRONMENTAL OUTCOMES: THREE ESSAYS ON THE ECONOMICS OF BIOMASS MANAGEMENT IN WESTERN KENYA A Dissertation Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Julia Berazneva August 2015 c 2015 Julia Berazneva ALL RIGHTS RESERVED RECONCILING FOOD, ENERGY, AND ENVIRONMENTAL OUTCOMES: THREE ESSAYS ON THE ECONOMICS OF BIOMASS MANAGEMENT IN WESTERN KENYA Julia Berazneva, Ph.D. Cornell University 2015 This dissertation explores human-environment interactions, focusing on on-farm biological resources (biomass) and crop residues, in particular, and how they can meet the competing demands of food production, energy generation, and environmental conservation in Sub- Saharan Africa. The empirical setting is rural western Kenya, where maize residues, one of the largest sources of on-farm biomass, constitute a large portion of livestock diets, con- tribute to household energy needs, and are fundamental in maintaining and improving soil fertility. The three dissertation essays analyze the uses and value of crop residues in tropical smallholder agriculture from several di↵erent perspectives and using di↵erent methodological approaches, all based on data from the western Kenyan highlands. The first essay (Chapter 2) treats non-marketed crop residues as factors of household production, accounting for their long-term benefits when used for soil fertility management. Empirically, the essay estimates a household-level maize production function and calculates the shadow value of maize residues as suggested by the theoretical framework and empirical estimates. This estimated value is substantial—$0.06-08 per kilogram and $208 per average farm—and is higher for poorer households.