glomc00 - The Global Millennium Class
Topic: agriculture & rural development | authors | business & finance | design | economy | education | entrepreneurship & innovation | environment | general | healthcare | human resources | nonprofit | people | policy & governance | publishing | reviews | science & technology | university research
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Headlines
Teaching doesn't pay well, but these 3 education jobs have higher salaries | USA TODAY, 11 nov 2024
How Smart Campuses Are Redefining the Future of Education - Benefits, Use Cases, and Technologies | Appinventiv, 11 nov 2024
How AI can make healthcare better and more equitable | World Economic Forum, 11 nov 2024
To solve drug shortages, fix the broken economic model | Modern Healthcare, 11 nov 2024
AI And The Global Economy: A Double-Edged Sword That Could Trigger Market Meltdowns | Bernard Marr, 11 nov 2024
Germany sets new record high of international students | StudyTravel Network, 07 nov 2024
AI and data innovations enhance farming efficiency and sustainability | Fresh Plaza, 06 nov 2024
Will the space economy drive global growth? | Finshots, 05 nov 2024
How to fix Germany's ailing health care system | Deutsche Welle, 21 oct 2024
American entrepreneur living in Japan for 2 years lists out USA's 'dysfunctionalities' | Hindustan Times, 12 oct 2024
Science & Technology
Mohammad Anas Wahaj | 30 aug 2018
According to experts, effective use of data is key to B2B marketing success as it offers precision targeting, better customer experience and personalization at scale. Bernard Tan, APAC Regional Marketing Director at Red Hat, doesn't consider marketing as just B2B or B2C, but prefers it to be 'business-to-all'. He says, '(Data) is transforming the way that we talk to whole markets...it's transforming the way that we can actually have one-to-one conversations in volume markets, and be much more efficient about the way we go to that market...All of us are consumers...We are now at this position where we are now able to start to drive engagement at an individual level and really focus on the customer.' According to IBM's 2017 Customer Experience Index study, APAC (31) scored lower than other regions when it comes to data-driven customer experience in the B2B space [North America (35), Europe (33) and Latin America (33)]. Jodie Sangster, CMO liaison lead of IBM Watson, says, 'Unfortunately in APAC, we are lagging behind in terms of meeting consumer expectations of how we are using their data and delivering great customer experience.' Read on...
WARC:
Data is key for B2B marketers, but APAC lags behind
Author:
NA
Mohammad Anas Wahaj | 29 aug 2018
The possibility of eco-friendly biodegradable paper-based batteries is now made a reality by the scientists at Binghampton University (SUNY), Prof. Seokheun 'Sean' Choi from the Electrical and Computer Engineering Department and Prof. Omowunmi Sadik from the Chemistry Department. Their research titled 'Green Biobatteries: Hybrid Paper-Polymer Microbial Fuel Cells' was recently published in Advanced Sustainable Systems. Prof. Choi engineered the design of the paper-based battery, while Prof. Sadik was able to make the battery a self-sustaining biobattery. The biobattery uses a hybrid of paper and engineered polymers. The polymers - poly (amic) acid and poly (pyromellitic dianhydride-p-phenylenediamine) - were the key to giving the batteries biodegrading properties. Prof. Choi says, 'There's been a dramatic increase in electronic waste and this may be an excellent way to start reducing that. Our hybrid paper battery exhibited a much higher power-to-cost ratio than all previously reported paper-based microbial batteries. The polymer-paper structures are lightweight, low-cost and flexible. Power enhancement can be potentially achieved by simply folding or stacking the hybrid, flexible paper-polymer devices.' Read on...
BingU News:
SCIENTISTS CREATE BIODEGRADABLE, PAPER-BASED BIOBATTERIES
Author:
Rachael Flores
Mohammad Anas Wahaj | 30 jul 2018
Team of 25 researchers from 7 institutes in Europe, USA and China (Linköping University, Sweden: Shula Chen, Xiao-Ke Liu, Liangqi Ouyang, Yingzhi Jin, Galia Pozina, Irina A. Buyanova, Weimin M. Chen, Olle Inganäs, Fengling Zhang, Feng Gao; Georgia Institute of Technology, USA: Zilong Zheng, Veaceslav Coropceanu, Jean-Luc Brédas; Chinese Academy of Sciences, China: Deping Qian, Huifeng Yao, Sunsun Li, Bowei Gao, Jianhui Hou; École Polytechnique Fédérale de Lausanne, Switzerland: Wolfgang Tress; Imperial College, UK: Thomas R. Hopper, Artem A. Bakulin; The Hong Kong University of Science and Technology, Hong Kong: Jing Liu, Shangshang Chen, He Yan; University of Cambridge, UK: Jiangbin Zhang) have come together to develop rules for designing high-efficiency organic solar cells. Their research, 'Design rules for minimizing voltage losses in high-efficiency organic solar cells', was published in Nature Materials. Lead researcher, Prof. Feng Gao of Linköping University, says, 'We have formulated some rational design rules to minimize energy losses in organic solar cells. Following these rules, we present a range of examples with low energy losses and high power conversion efficiencies.' The research provides two fundamental rules to minimize energy losses in organic solar cells - (1) Minimize the energy offset between donor and acceptor components. (2) Make sure that the low-gap component in the blend has a high photoluminescence yield. According to researchers, theoretically the limit for the fraction of the sun's energy that can be obtained in solar cells is around 33%, but laboratory experiments with silicon-based solar cells have achieved 25% at best. Prof. Olle Inganäs of Linköping University, 'But we now know that there is no difference - the theoretical limit is the same for solar cells manufactured from silicon, perovskites, or polymers.' Read on...
Photonics Media:
Design Rules for Building Efficient Organic Solar Cells
Author:
NA
Mohammad Anas Wahaj | 23 jun 2018
Food waste is a global concern and innovative solutions are needed to overcome it. Recent data from National Resources Defense Council found that the average American throws out 400 pounds of food a year, meaning that up to 40% of food grown on the farm bypasses the fork and ends up in a landfill. Globally, impact of food waste can be seen in terms of lost resources, wasted water (70% of fresh water is consumed in agriculture), increased levels of climate-change-producing gases, and diverted food that could contribute to alleviating hunger. According to the Food and Agriculture Organization of the United Nations (FAO) - It is estimated that annually over 60 trillion gallons of water are used to grow food that is ultimately wasted; Roughly 1/3 of the food produced for human consumption every year - approximately 1.3 billion tons - gets lost or wasted, representing nearly US$1 trillion. The cost of producing, harvesting, transporting, and disposing of this food isn't just financial - food waste accounts for about 8% of global climate pollution, more than the nations of India or Russia. According to one report, food waste throughout the US accounts for more than 60 million tons of waste, which translates into US$ 160 billion of produce and, according to the Environmental Protection Agency (EPA), represents over 21% of all waste in landfills. Adequate government policy alongwith solutions from for-profit and nonprofit sectors can successfully tackle this challenge. Sherri Welch, writing in Crain's Detroit, highlights two food-box subscription companies that sell produce and other food that retailers won't touch in the Detroit market. One is the Baltimore-based Hungry Harvest; the other is Toronto-based Flash Food. They are both for-profit companies. Denver's We Don't Waste is a nonprofit working on similar lines. Other nonprofits are working with hunger relief organizations and give their customers the option to buy a box of imperfect produce and donate it to a family in need. Phillip Knight, executive director of the Food Bank Council of Michigan, says, 'At this point, I think we are all working together to feed hungry neighbors, reduce waste and lessen the impact on the environment.' Other solutions include processing food waste as bioenergy. In the Pacific Northwest, Impact Bioenergy develops and manufactures bioenergy products that allow communities and commercial food waste generators to lessen their environmental footprint and conserve local soil resources while also reducing their waste disposal and energy costs. Policy approaches can also play an important role to shift the amount of food entering the waste stream. A May 2017 paper published by Harvard Law School's Food Law and Policy Clinic looks at the 2018 Farm Bill as a portal for changing the national conversation on food waste by integrating strategies and initiatives to support diversion efforts. Policy is a major focus on ReFed, one of the nation's leading nonprofits dedicated to addressing food waste. One of their initiatives in partnership with the Food Law and Policy Clinic is the US Food Waste Policy Finder, a tool that provides research on current food waste policy. Another promising approach is to incorporate the reuse of food that has been rejected by the conventional market into social enterprises. DC Central Kitchen is a job-training catering social enterprise that buys food seconds from farmers and uses that produce in the meals it serves to students in schools and catering event guests, even as the nonprofit also addresses the cycle of hunger. According to ReFed's 'Roadmap to Reduce US Food Waste by 20 Percent', an estimated 15000 permanent jobs could be created through policy initiatives alone. 'Wasted! The Story of Food Waste', a documentary produced by the late Anthony Bourdain, offer a glimpse of ways that nonprofits can expand their missions and collaborate with others to reduce food waste while improving the health and well-being of those in need. Read on...
Nonprofit Quarterly:
For-Profit and Nonprofit Firms Devise Creative Ways to Reduce Food Waste
Author:
Derrick Rhayn
Mohammad Anas Wahaj | 30 may 2018
Australian fashion designer, Mark Liu, advises creative professionals to recognize the importance of studying STEM subjects (Science, Technology, Engineering and Maths) at school. He initiated 'Zero Waste Fashion Design' concept in which every piece of fabric is utilized in a fitting pattern. This process is contrary to the traditional linear pattern-making, which assumes a flat surface - with little account for the body's curves. Mr. Liu says, 'When you start pattern-making with zero waste, you really have to understand how it works to a really intricate level. Traditional techniques weren't really cutting it. I had to look at the underlying mathematics. And the more I looked, the more I found problems that mathematics had answers to but traditional pattern-making didn't.' He created 'Non-Euclidean' system of pattern-making that uses a technique called the 'Drape Measure' to record the curvature of surfaces as an angle measurement in order to create a more accurate design. Advocating STEM for creatives and designers, he also want 'A' for 'Arts' to be included to make it STEAM. Mr. Liu also supports and mentors students of International Grammar School (Sydney, Australia) emphasizing importance of maths. Ksenija Doic, design and technology teacher at school, says, 'They come into a creative subject thinking, 'Perhaps all I need is to have an idea, or be good with colours, or have an artistic side'. But what mathematics is useful for is the problem-solving part. The students who do maths find it easier to do the tasks at hand, because they have an innate knowledge of geometry, of working out curves and tangents.' Wynton Lambert, a student, says, 'Without some of the stuff I learned in maths, I wouldn't have been able to do the sleeve (of the shirt). It was very technical.' Mr. Liu considers STEAM to be the future and says, 'There’s this nice intersection between art and mathematics, and when they come together that's when really amazing things happen.' Read on...
SBS News:
Why aspiring fashion designers should study maths
Author:
Rena Sarumpaet
Mohammad Anas Wahaj | 29 may 2018
Researchers at The University of British Columbia (Okanagan, Canada), Prof. Abbas Milani and graduate student Armin Rashidi, are working to solve the issue of wrinkling when it comes to making textile composites. Their research, 'A multi-step biaxial bias extension test for wrinkling/de-wrinkling characterization of woven fabrics: Towards optimum forming design guidelines', was recently published in Materials & Design Journal. According to Prof. Milani, wrinkling is one of the most common flaws in textile composites, which are widely used for prototypes, as well as mass production within prominent aerospace, energy, automotive and marine applications. Researchers have investigated several de-wrinkling methods and have discovered that they can improve their effectiveness by pulling the materials in two directions simultaneously during the manufacturing process. Mr. Rashidi says, 'The challenge was to avoid unwanted fibre misalignment or fibre rupture while capturing the out-of-plane wrinkles. Manufacturers who use these types of composites are looking for more information about their mechanical behaviour, especially under combined loading scenarios.' Prof. Milani, who is director of Materials and Manufacturing Research Institute at UBC Okanagan, says, 'Composite textiles are changing the way products are designed and built in advanced manufacturing sectors. As we continue to innovate in the area of composite textiles to include more polymer resin and fibre reinforcement options, this research will need to continue in order to provide the most up-to-date analysis for manufacturers in different application areas.' Read on...
UBC Okanagan News:
Researchers improve textile composite manufacturing
Author:
Nathan Skolski
Mohammad Anas Wahaj | 23 may 2018
Utilizing customer data to understand consumer behavior through analytics tools is key to improve products and services, and finally gain and retain customers. Restaurant and fast food industry is customer intensive with direct interactions with them. Restaurant sales were approximately US$ 800 billion last year and continue to grow. With hightened competition and increasing customer expectations it becomes challenging to serve what customer wants and keeps coming back for more. Advanced analytics can come to the rescue in this regard. Quick Service Restaurant (QSR) industry has low average ticket value, customer visit frequency is higher and cyclical, size of the meal matters and customer tastes don't vary that much. The restaurant industry's main goals remain - increase meal size, increase guest frequency and decrease customer lapsation. In today's environment, customers are digital-savvy and restaurants have their data. The value is in gaining actionable insights from this data that positively impact the Net Promoter Score (NPS). Here is what some restaurant chains are doing in this regard - (1) Identified taste affinity clusters: Created various segements of customers and looked at their past purchase behavior to identify taste preferences. (2) Buying behavior analysis: Looked at purchase behavior across different channels to identify which menu items can be added to the combo for someone that orders (mobile vs visit). Used advanced analytics to get a single view of the customer by integrating their POS, mobile, web and social data to identify the customer and hence provide consistent messaging. (3) NPS and Feedback Analysis: Integrated feedback received across all channels and layered it up with sentiment analysis. Customers were given lapsation score and offers were targeted accordingly. (4) Store location analysis: Used predictive models to identify the probability of a new store succeeding in a specific location vis-à-vis another store in the same area. They identified pockets of demand and the model prescribed a set of potential locations in a given geographic area. This data was used to score and rank comparable locations. Read on...
Analytics India Magazine:
Advanced Analytics In The Restaurant Industry
Author:
Santosh Kumar
Mohammad Anas Wahaj | 30 apr 2018
Artificial Intelligence is one of the fields that's getting most attention from technology companies. AI researchers specialize in neural networks, complex algorithms that learn tasks by analyzing vast amounts of data. They are used in everything from digital assistants in smartphones to self-driving cars. Those with AI skills are in high demand. But, the salary data related to AI hires hasn't been in public domain. Now OpenAI, a nonprofit AI research organization, had made the salaries of their AI researchers public as their nonprofit setup requires them to do so. Top OpenAI researchers were paid as follows - Ilya Sutskever (more than US$ 1.9 million in 2016); Ian Goodfellow (more than US$ 800000 after getting hired in March 2016); Prof. Pieter Abbeel of University of California at Berkeley (US$ 425000 after joining in June 2016). OpenAI was founded by Elon Musk (CEO of Tesla) and other well-known names in technology. Element AI, an independent lab in Canada, estimates that 22000 people worldwide have the skills needed to do serious AI research - about double from a year ago. Chris Nicholson, Founder & CEO of AI startup Skymind, says, 'There is a mountain of demand and a trickle of supply.' There is scarcity of AI talent. Governments and universities are also seeking AI researchers, even though they may not match the salaries paid by private enterprises. OpenAI too cannot compensate equivalent to private tech companies as stock options are major attraction there. But OpenAI shares its research with the world, considered a positive approach in responsibile tech development. Mr. Sutskever says, 'I turned down offers for multiple times the dollar amount I accepted at OpenAI. Others did the same.' He expects salaries at OpenAI to increase as the organization pursued its 'mission of ensuring powerful AI benefits all of humanity.' AI specialists with little or no industry experience can make between US$ 300000 and US$ 500000 a year in salary and stock. Wojciech Zaremba, a researcher who joined OpenAI after internships at Google and Facebook, says, 'The amount of money was borderline crazy.' He says that tech companies offered 2 or 3 times what he believed his real market value was. At a London AI lab now owned by Google, costs for 400 employees totaled US$ 138 million in 2016. Top researchers are paid higher. Mr. Nicholson says, 'When you hire a star, you are not just hiring a star. You are hiring everyone they attract. And you are paying for all the publicity they will attract.' Other top researchers at OpenAI included Greg Brockman and Andrej Karpathy. In a growing and competitive tech field like AI it becomes challenging for organizations to retain talent. Read on...
The New York Times:
A.I. Researchers Are Making More Than $1 Million, Even at a Nonprofit
Author:
Cade Metz
Mohammad Anas Wahaj | 30 apr 2018
Considering the large number of competing nonprofits in a big town with their limited budgets, it's always challenging for them to reach out and attract donors and manage fundraising effectively. There are more than 2300 nonprofits operating in Philadelphia (USA). According to a research report 'The Financial Health of Philadelphia Area Nonprofits', funded by The Philadelphia Foundation, more than 40% of the nonprofits in the area are working at a loss, operate on margins of zero or less and fewer can be considered financially strong. With more than half the nonprofits operating on slim-to-none budget with limited support staff, fundraising is a challnging task. But Drexel University professor, Neville Vakharia, created an online tool, ImpactView Philadelphia, that uses publicly available data on nonprofit organizations from the Internal Revenue Service (IRS) in combination with the most recent American Community Survey data released by the U.S. Census Bureau to present an easy-to-access snapshot of Philadelphia's nonprofit ecosystem. The tool intends to help nonprofits streamline their fundraising process. It makes information about nonprofit organizations, and the communities they're striving to help, more accessible to likeminded charities and the philanthropic organizations that seek to fund them. Prof. Neville says, 'Through the location intelligence visualizer, users can immediately find areas of need and potential collaborators. The data are automatically visualized and mapped on-screen, identifying, for example, pockets of high poverty with large populations of children as well as the nonprofit service providers in these areas. Making this data accessible for nonprofits will cut down on time spent seeking information and improve the ability to make data-informed decisions, while also helping with case making and grant applications.' Since the tool is open-source it can be easily replicated in other cities. Read on...
DrexelNOW:
A Tool to Help Nonprofits Find Each Other, Pursue Funding and Collaborate
Author:
Emily Storz
Mohammad Anas Wahaj | 28 feb 2018
Measurement and analysis of marketing data is becoming critical for understanding the effectiveness of marketing initiatives. The insights help in focusing efforts and money in the right direction. Marketing analytics tools and technologies continue to advance. David Sanderson, CEO of Nugit, explains what will be driving marketing analytics in 2018 and how marketers can keep pace with them - (1) Marketing analysts will need to use many new data sources: Combining data from internal data repositories with other sources like Google Analytics, SEO platform, CRM, Email, Social Media, Chat applications etc will provide better insights that will help to drive consumer interest, optimize pricing, and deliver an improved customer experience. Now analysts must also identify where important data resides, determine what needs to be extracted and devise a strategy for using new data sources to drive business decisions. (2) Artificial Intelligence (AI) will be essential for analytics: Speed of incoming data in large volumes make it difficult for human data analysts to process it effectively. In such a scenario, machine learning and AI tools come to the rescue and help analysts find patterns in customer data, elicit recommendations for optimizing performance, and allow non-professionals to access complicated analytics using simple language. (3) Analysts will become storytellers: Usual data analyst skill like SQL, Excel, business analysis etc, crunching data and making reports will not suffice now. Analysts have to do more - Obtain data from non-traditional sources; Clean data with programming languages such as Python; 'Polish' the data using data visualization tools and create attractive charts and graphs; Transform data into easy-to-understand stories which help non-analysts understand emerging trends and opportunities. Read on...
Econsultancy:
The three trends driving marketing analytics in 2018
Author:
Jeff Rajeck
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