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4 Places To Invest In Times Of Uncertainty

The last few months have seen share prices fall like nine pins, interest rates on fixed deposits collapse and even moratorium being placed on withdrawals of a particular bank. At such times, it is very important to look for safety and




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Research Needed to Reduce Scientific Uncertainty About Effects of Hormonally Active Agents in the Environment

Although there is evidence of harmful health and ecological effects associated with exposure to high doses of chemicals known as hormonally active agents – or endocrine disrupters – little is understood about the harm posed by exposure to the substances at low concentrations, such as those that typically exist in the environment, says a new report from a National Research Council committee.




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Reducing Climate Uncertainty, Improving Weather Forecasts, and Understanding Sea-Level Rise Are Among Top Science Priorities for Space-Based Earth Observation Over Next Decade

NASA, the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) should implement a coordinated approach for their space-based environmental observations to further advance Earth science and applications for the next decade, says a new report by the National Academies of Sciences, Engineering, and Medicine.




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Clear recognition of uncertainty is lacking in scientific advice for policymakers

Sustainable management of complex ecosystems requires clear understanding of uncertainty. However, scientific guidance documents show a lack of clarity and coherence regarding uncertainties and tend to focus solely on the need for more data or monitoring, new research indicates. The researchers suggest that scientific guidance should recognise uncertainty as an inherent part of any complex ecosystem.




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Soil moisture stress on plants leads to uncertainty in carbon cycle estimates

This study paves the way for better projections of the impact of climate change on plants, including agricultural crops and carbon drawdown. The research shows how an equation used in climate models to represent soil moisture levels is responsible for major variations in estimates of the carbon cycle.




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Understanding uncertainty in air-quality modelling with new framework

A recent study develops a framework for implementing IAMs using the Lombardy region of Italy as a case study. Researchers have run an uncertainty and sensitivity analysis with an environmental model, specifically with an Integrated Assessment Model (IAM) for air quality, demonstrating how model components are sources of uncertainty in the output of an integrated assessment. Policy responses should therefore consider uncertainty and sensitivity when developing measures to improve air quality.




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Precautionary Principle: decision-making under uncertainty – September 2017

One of the greatest challenges facing today’s environmental policymakers is how to deal with complex risks, such as those associated with climate change. These risks are difficult to deal with because they are not precisely calculable in advance. Where there is scientific uncertainty about the full extent of possible harms but ‘doing nothing’ is also risky, decision-makers may use the precautionary principle. This Future Brief explores the role of the precautionary principle in EU law and policy, and examines key points of discussion drawn from the evidence.




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Zillow Group Pauses Home Buying in Zillow Offers in Response to COVID-19 and Market Uncertainty




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Senator Byrd's death brings uncertainty to environmental issues

Robert Byrd's death will create a void that may directly affect environmental policy.




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Sen. Bingaman's departure means more uncertainty for the environment

New Mexico senator's plan to retire creates questions for Democrats and environmentalists in 2012.




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How to Find Motivation In Your Day During Uncertainty


The following is a guest post about how to find motivation in your day during uncertainty from regular contributor, Kristin at The Gold Project.  Sometimes, life throws you a curve ball. Last month, I had all intention of sharing another budgeting post. The information was already flowing through my head too. I was excited about […]

If you're seeing How to Find Motivation In Your Day During Uncertainty anywhere other than on I'm an Organizing Junkie (or via my email list or a feed reader) it is being used by someone else without my permission. Please let me know, thank you!




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The Persuasive Power of Uncertainty

Zakary Tormala, associate professor of marketing at Stanford's Graduate School of Business.




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Young working professionals to cut down expenses as post-Covid world brings uncertainty, job loss

Categories like essentials, at-home entertainment, health and insurance continue to show greater resiliency.




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Infosys Q4 results: Profit rises 6% to Rs 4,321 crore; firm suspends FY21 guidance citing uncertainty

Infosys Q4 results: Profit rises 6% to Rs 4,321 crore; firm suspends FY21 guidance citing uncertainty





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More than one, always more than one to address the real uncertainty.

The OHDSI study-a-thon group has a pre-print An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza. What is encouraging with this one over yesterday’s study, is multiple data sources and almost too many co-authors to count (take that Nature’s editors). So an opportunity to see the variation […]





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SYSTEMS AND METHODS FOR ASYMMETRICAL FORMATTING OF WORD SPACES ACCORDING TO THE UNCERTAINTY BETWEEN WORDS

Asymmetrical formatting of word spaces according to the uncertainty between words includes an initial filtering process and subsequent text formatting process. An equivocation filter generates a mapping of keys and values (output) from a corpus or word sequence frequency data (input). Text formatting process for asymmetrically adjusts the width of spaces adjacent to keys using the values. The filtering process, which generates a mapping of keys and values can be performed once to analyze a corpus and once generated, the key-value mapping can be used multiple times by a subsequent text processing process.




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GENERATING ESTIMATES OF UNCERTAINTY FOR RADAR BASED PRECIPITATION ESTIMATES

A method and system for estimating uncertainties in radar based precipitation estimates is provided. In an embodiment, gauge measurements at one or more gauge locations are received by an agricultural intelligence computer system. The agricultural intelligence computer system obtains precipitation estimates for the one or more gauge locations that correspond to the gauge measurements and computes the differences between the precipitation estimates and the gauge measurements. Using the precipitation estimates and the computed differences, the agricultural intelligence computer system then models a dependence of the uncertainty in the precipitation estimates on the value of the precipitation estimates. When the agricultural intelligence computer system receives precipitation estimates for a location where gauge measurements are unavailable, the agricultural intelligence computer identifies an uncertainty for the precipitation estimate based on the value of the precipitation estimate and the model of the dependence of the uncertainty on the precipitation estimate values.




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Uncertainty and Tragedy

On a recent Views and Brews at The Cactus Cafe, Dr. Art Markman, and Dr. Bob Duke talked about how to process tragedy through media in uncertain times. You can listen to the full conversation here, but we wanted to bring you a bit of it on this week’s edition of Two Guys on Your...




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Earnings season is in full swing and uncertainty is certain


The most active week of the earnings season is on and the rush of quarterly reports Tuesday, 39 in all, captured the maneuvering of companies from almost every sector as they feel their way through an unprecedented economic shockwave. Companies are being affected in different ways but if there’s a common theme, it’s that the […]




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How can we live with coronavirus uncertainty?

In little more than a month, the coronavirus has exploded the sense of certainty, confidence, optimism and control on which so much of modern life, the economy and politics are predicated. Were these always just illusions?



  • Ethics
  • Community and Society
  • Government and Politics
  • Health
  • Epidemics and Pandemics
  • Business
  • Economics and Finance


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Charles Darwin University course cuts create uncertainty for remote apprentice learning trade

Cameron Rowland says he can no longer complete his auto electrician training in Tennant Creek because of course cuts.




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Uncertainty With Future Of The America’s Cup

With Emirates Team New Zealand’s recent America’s Cup win, they are now in control of the tournament’s destiny; however, as the only non-signatory to the ‘framework agreement’ signed by the other five America’s Cup teams, there remains some uncertainty regarding the next iteration of the event. After the Kiwi’s stunning victory over Oracle Team USA, […]

(Click to read the full article)




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Addressing Uncertainty about Future Airport Activity Levels in Airport Decision Making

TRB’s Airport Cooperative Research Program (ACRP) Report 76: Addressing Uncertainty about Future Airport Activity Levels in Airport Decision Making provides a systems analysis methodology that augments standard airport master planning and strategic planning approaches. The methodology includes a set of tools for improving the understanding and application of risk and uncertainty in air traffic forecasts as well as for increasing the overall effectiveness of airport planning and decision making.



  • http://www.trb.org/Resource.ashx?sn=cover_ACRP_rpt_076copy

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Dealing with the Immense Uncertainty of the World

By Leo Babauta The world is in a state of fear and uncertainty right now, and it’s stressful and overwhelming for most of us. This kind of fear, stress, uncertain and overwhelm can have some really strong effects on our lives: Constant fear and stress can cause anxiety problems, worsening sleep and health, depression and […]



  • Mindfulness & Mastery
  • Resiliency & Change

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Interest Rate Uncertainty as a Policy Tool -- by Fabio Ghironi, G. Kemal Ozhan

We study a novel policy tool—interest rate uncertainty—that can be used to discourage inefficient capital inflows and to adjust the composition of external accounts between short-term securities and foreign direct investment (FDI). We identify the trade-offs faced in navigating between external balance and price stability. The interest rate uncertainty policy discourages short-term inflows mainly through portfolio risk and precautionary saving channels. A markup channel generates net FDI inflows under imperfect exchange rate pass-through. We further investigate new channels under different assumptions about the irreversibility of FDI, the currency of export invoicing, risk aversion of outside agents, and effective lower bound in the rest of the world. Under every scenario, uncertainty policy is inflationary.




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Uncertainty lingers for UCLA basketball team even after season's end

UCLA coach Mick Cronin is waiting to find out what sorts of basketball activities or workouts or team meetings would be allowed once spring quarter begins.




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Chris Smith's decision to go to NBA or return to UCLA shrouded in uncertainty

UCLA guard Chris Smith's decision whether to turn pro is uncertain.




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Getting into USC this fall just got easier amid coronavirus uncertainty

USC admission rates rose significantly for fall 2020 as the coronavirus outbreak deepens uncertainty over students' college plans.




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Talk Evidence Covid-19 update - Confused symptoms, fatality rate uncertainty, Iceland's testing

For the next few months Talk Evidence is going to focus on the new corona virus pandemic. There is an enormous amount of uncertainty about the disease, what the symptoms are, fatality rate, treatment options, things we shouldn't be doing. We're going to try to get away from the headlines and talk about what we need to know - to hopefully give...




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Baseball and Linguistic Uncertainty

In my youth I played an inordinate amount of baseball, collected baseball cards, and idolized baseball players. I've outgrown all that but when I'm in the States during baseball season I do enjoy watching a few innings on the TV.

So I was watching a baseball game recently and the commentator was talking about the art of pitching. Throwing a baseball, he said, is like shooting a shotgun. You get a spray. As a pitcher, you have to know your spray. You learn to control it, but you know that it is there. The ball won't always go where you want it. And furthermore, where you want the ball depends on the batter's style and strategy, which vary from pitch to pitch for every batter.

That's baseball talk, but it stuck in my mind. Baseball pitchers must manage uncertainty! And it is not enough to reduce it and hope for the best. Suppose you want to throw a strike. It's not a good strategy to aim directly at, say, the lower outside corner of the strike zone, because of the spray of the ball's path and because the batter's stance can shift. Especially if the spray is skewed down and out, you'll want to move up and in a bit.

This is all very similar to the ambiguity of human speech when we pitch words at each other. Words don't have precise meanings; meanings spread out like the pitcher's spray. If we want to communicate precisely we need to be aware of this uncertainty, and manage it, taking account of the listener's propensities.

Take the word "liberal" as it is used in political discussion.

For many decades, "liberals" have tended to support high taxes to provide generous welfare, public medical insurance, and low-cost housing. They advocate liberal (meaning magnanimous or abundant) government involvement for the citizens' benefit.

A "liberal" might also be someone who is open-minded and tolerant, who is not strict in applying rules to other people, or even to him or herself. Such a person might be called "liberal" (meaning advocating individual rights) for opposing extensive government involvement in private decisions. For instance, liberals (in this second sense) might oppose high taxes since they reduce individuals' ability to make independent choices. As another example, John Stuart Mill opposed laws which restricted the rights of women to work (at night, for instance), even though these laws were intended to promote the welfare of women. Women, insisted Mill, are intelligent adults and can judge for themselves what is good for them.

Returning to the first meaning of "liberal" mentioned above, people of that strain may support restrictions of trade to countries which ignore the health and safety of workers. The other type of "liberal" might tend to support unrestricted trade.

Sending out words and pitching baseballs are both like shooting a shotgun: meanings (and baseballs) spray out. You must know what meaning you wish to convey, and what other meanings the word can have. The choice of the word, and the crafting of its context, must manage the uncertainty of where the word will land in the listener's mind.


Let's go back to baseball again.

If there were no uncertainty in the pitcher's pitch and the batter's swing, then baseball would be a dreadfully boring game. If the batter knows exactly where and when the ball will arrive, and can completely control the bat, then every swing will be a homer. Or conversely, if the pitcher always knows exactly how the batter will swing, and if each throw is perfectly controlled, then every batter will strike out. But which is it? Whose certainty dominates? The batter's or the pitcher's? It can't be both. There is some deep philosophical problem here. Clearly there cannot be complete certainty in a world which has some element of free will, or surprise, or discovery. This is not just a tautology, a necessary result of what we mean by "uncertainty" and "surprise". It is an implication of limited human knowledge. Uncertainty - which makes baseball and life interesting - is inevitable in the human world.

How does this carry over to human speech?

It is said of the Wright brothers that they thought so synergistically that one brother could finish an idea or sentence begun by the other. If there is no uncertainty in what I am going to say, then you will be bored with my conversation, or at least, you won't learn anything from me. It is because you don't know what I mean by, for instance, "robustness", that my speech on this topic is enlightening (and maybe interesting). And it is because you disagree with me about what robustness means (and you tell me so), that I can perhaps extend my own understanding.

So, uncertainty is inevitable in a world that is rich enough to have surprise or free will. Furthermore, this uncertainty leads to a process - through speech - of discovery and new understanding. Uncertainty, and the use of language, leads to discovery.

Isn't baseball an interesting game?




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Jabberwocky. Or: Grand Unified Theory of Uncertainty???


Jabberwocky, Lewis Carroll's whimsical nonsense poem, uses made-up words to create an atmosphere and to tell a story. "Billig", "frumious", "vorpal" and "uffish" have no lexical meaning, but they could have. The poem demonstrates that the realm of imagination exceeds the bounds of reality just as the set of possible words and meanings exceeds its real lexical counterpart.

Uncertainty thrives in the realm of imagination, incongruity, and contradiction. Uncertainty falls in the realm of science fiction as much as in the realm of science. People have struggled with uncertainty for ages and many theories of uncertainty have appeared over time. How many uncertainty theories do we need? Lots, and forever. Would we say that of physics? No, at least not forever.

Can you think inconsistent, incoherent, or erroneous thoughts? I can. (I do it quite often, usually without noticing.) For those unaccustomed to thinking incongruous thoughts, and who need a bit of help to get started, I can recommend thinking of "two meanings packed into one word like a portmanteau," like 'fuming' and 'furious' to get 'frumious' or 'snake' and 'shark' to get 'snark'.

Portmanteau words are a start. Our task now is portmanteau thoughts. Take for instance the idea of a 'thingk':

When I think a thing I've thought,
I have often felt I ought
To call this thing I think a "Thingk",
Which ought to save a lot of ink.

The participle is written "thingking",
(Which is where we save on inking,)
Because "thingking" says in just one word:
"Thinking of a thought thing." Absurd!

All this shows high-power abstraction.
(That highly touted human contraption.)
Using symbols with subtle feint,
To stand for something which they ain't.

Now that wasn't difficult: two thoughts at once. Now let those thoughts be contradictory. To use a prosaic example: thinking the unthinkable, which I suppose is 'unthingkable'. There! You did it. You are on your way to a rich and full life of thinking incongruities, fallacies and contradictions. We can hold in our minds thoughts of 4-sided triangles, parallel lines that intersect, and endless other seeming impossibilities from super-girls like Pippi Longstockings to life on Mars (some of which may actually be true, or at least possible).

Scientists, logicians, and saints are in the business of dispelling all such incongruities, errors and contradictions. Banishing inconsistency is possible in science because (or if) there is only one coherent world. Belief in one coherent world and one grand unified theory is the modern secular version of the ancient monotheistic intuition of one universal God (in which saints tend to believe). Uncertainty thrives in the realm in which scientists and saints have not yet completed their tasks (perhaps because they are incompletable). For instance, we must entertain a wide range of conflicting conceptions when we do not yet know how (or whether) quantum mechanics can be reconciled with general relativity, or Pippi's strength reconciled with the limitations of physiology. As Henry Adams wrote:

"Images are not arguments, rarely even lead to proof, but the mind craves them, and, of late more than ever, the keenest experimenters find twenty images better than one, especially if contradictory; since the human mind has already learned to deal in contradictions."

The very idea of a rigorously logical theory of uncertainty is startling and implausible because the realm of the uncertain is inherently incoherent and contradictory. Indeed, the first uncertainty theory - probability - emerged many centuries after the invention of the axiomatic method in mathematics. Today we have many theories of uncertainty: probability, imprecise probability, information theory, generalized information theory, fuzzy logic, Dempster-Shafer theory, info-gap theory, and more (the list is a bit uncertain). Why such a long and diverse list? It seems that in constructing a logically consistent theory of the logically inconsistent domain of uncertainty, one cannot capture the whole beast all at once (though I'm uncertain about this).

A theory, in order to be scientific, must exclude something. A scientific theory makes statements such as "This happens; that doesn't happen." Karl Popper explained that a scientific theory must contain statements that are at risk of being wrong, statements that could be falsified. Deborah Mayo demonstrated how science grows by discovering and recovering from error.

The realm of uncertainty contains contradictions (ostensible or real) such as the pair of statements: "Nine year old girls can lift horses" and "Muscle fiber generates tension through the action of actin and myosin cross-bridge cycling". A logically consistent theory of uncertainty can handle improbabilities, as can scientific theories like quantum mechanics. But a logical theory cannot encompass outright contradictions. Science investigates a domain: the natural and physical worlds. Those worlds, by virtue of their existence, are perhaps coherent in a way that can be reflected in a unified logical theory. Theories of uncertainty are directed at a larger domain: the natural and physical worlds and all imaginable (and unimaginable) other worlds. That larger domain is definitely not coherent, and a unified logical theory would seem to be unattainable. Hence many theories of uncertainty are needed.

Scientific theories are good to have, and we do well to encourage the scientists. But it is a mistake to think that the scientific paradigm is suitable to all domains, in particular, to the study of uncertainty. Logic is a powerful tool and the axiomatic method assures the logical consistency of a theory. For instance, Leonard Savage argued that personal probability is a "code of consistency" for choosing one's behavior. Jim March compares the rigorous logic of mathematical theories of decision to strict religious morality. Consistency between values and actions is commendable says March, but he notes that one sometimes needs to deviate from perfect morality. While "[s]tandard notions of intelligent choice are theories of strict morality ... saints are a luxury to be encouraged only in small numbers." Logical consistency is a merit of any single theory, including a theory of uncertainty. However, insisting that the same logical consistency apply over the entire domain of uncertainty is like asking reality and saintliness to make peace.




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We're Just Getting Started: A Glimpse at the History of Uncertainty


We've had our cerebral cortex for several tens of thousands of years. We've lived in more or less sedentary settlements and produced excess food for 7 or 8 thousand years. We've written down our thoughts for roughly 5 thousand years. And Science? The ancient Greeks had some, but science and its systematic application are overwhelmingly a European invention of the past 500 years. We can be proud of our accomplishments (quantum theory, polio vaccine, powered machines), and we should worry about our destructive capabilities (atomic, biological and chemical weapons). But it is quite plausible, as Koestler suggests, that we've only just begun to discover our cerebral capabilities. It is more than just plausible that the mysteries of the universe are still largely hidden from us. As evidence, consider the fact that the main theories of physics - general relativity, quantum mechanics, statistical mechanics, thermodynamics - are still not unified. And it goes without say that the consilient unity of science is still far from us.

What holds for science in general, holds also for the study of uncertainty. The ancient Greeks invented the axiomatic method and used it in the study of mathematics. Some medieval thinkers explored the mathematics of uncertainty, but it wasn't until around 1600 that serious thought was directed to the systematic study of uncertainty, and statistics as a separate and mature discipline emerged only in the 19th century. The 20th century saw a florescence of uncertainty models. Lukaczewicz discovered 3-valued logic in 1917, and in 1965 Zadeh introduced his work on fuzzy logic. In between, Wald formulated a modern version of min-max in 1945. A plethora of other theories, including P-boxes, lower previsions, Dempster-Shafer theory, generalized information theory and info-gap theory all suggest that the study of uncertainty will continue to grow and diversify.

In short, we have learned many facts and begun to understand our world and its uncertainties, but the disputes and open questions are still rampant and the yet-unformulated questions are endless. This means that innovations, discoveries, inventions, surprises, errors, and misunderstandings are to be expected in the study or management of uncertainty. We are just getting started. 




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How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results

STANDARD ERRORS VS STANDARD DEVIATIONS Click to enlarge There’s an ancient haiku that goes: People confuse a well-estimated mean with a certain outcome Ok, that’s not true. But Jake Hofman, Dan Goldstein, and Jessica Hullman have a new paper (recently accepted at CHI 2020) about this. They bet you’ll think the results of their paper […]

The post How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results appeared first on Decision Science News.




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Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification

High dimensional data often contain multiple facets, and several clustering patterns can co-exist under different variable subspaces, also known as the views. While multi-view clustering algorithms were proposed, the uncertainty quantification remains difficult --- a particular challenge is in the high complexity of estimating the cluster assignment probability under each view, and sharing information among views. In this article, we propose an approximate Bayes approach --- treating the similarity matrices generated over the views as rough first-stage estimates for the co-assignment probabilities; in its Kullback-Leibler neighborhood, we obtain a refined low-rank matrix, formed by the pairwise product of simplex coordinates. Interestingly, each simplex coordinate directly encodes the cluster assignment uncertainty. For multi-view clustering, we let each view draw a parameterization from a few candidates, leading to dimension reduction. With high model flexibility, the estimation can be efficiently carried out as a continuous optimization problem, hence enjoys gradient-based computation. The theory establishes the connection of this model to a random partition distribution under multiple views. Compared to single-view clustering approaches, substantially more interpretable results are obtained when clustering brains from a human traumatic brain injury study, using high-dimensional gene expression data.




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The equivalence of dynamic and static asset allocations under the uncertainty caused by Poisson processes

Yong-Chao Zhang, Na Zhang.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 1, 184--191.

Abstract:
We investigate the equivalence of dynamic and static asset allocations in the case where the price process of a risky asset is driven by a Poisson process. Under some mild conditions, we obtain a necessary and sufficient condition for the equivalence of dynamic and static asset allocations. In addition, we provide a simple sufficient condition for the equivalence.




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Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection. (arXiv:2005.01889v2 [cs.LG] UPDATED)

Building a scalable machine learning system for unsupervised anomaly detection via representation learning is highly desirable. One of the prevalent methods is using a reconstruction error from variational autoencoder (VAE) via maximizing the evidence lower bound. We revisit VAE from the perspective of information theory to provide some theoretical foundations on using the reconstruction error, and finally arrive at a simpler and more effective model for anomaly detection. In addition, to enhance the effectiveness of detecting anomalies, we incorporate a practical model uncertainty measure into the metric. We show empirically the competitive performance of our approach on benchmark datasets.




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The Joyful Reduction of Uncertainty: Music Perception as a Window to Predictive Neuronal Processing




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As Quebec revises reopening dates, government risks adding uncertainty to uncertain times

Quebecers, like the rest of the world, are growing accustomed to the uncertainty that's accompanied the pandemic. But they may not appreciate their government adding to that already hefty burden.



  • News/Canada/Montreal

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Covid-19, Confusion and Uncertainty

It will be a difficult road back to any kind of normal living.




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Inflationary household uncertainty shocks

Bank of Finland Research Discussion Papers by Gene Ambrocio




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Post-election Mozambique: Here comes an era of uncertainty

Hailed as transitional by local observers, the latest polls were expected to usher in a new type of leadership in FRELIMO, with Filipe Nyussi being the first non-liberation northern leader in a southern dominated elite; they would also see opposition parties RENAMO and MDM alter their strategies and become more politically relevant; and would possibly be the last polls before the country became a mass resource-producing economy. However, the Presidential and parliamentary elections of 15 October have made the political setting, the prospects for improved governance and wealth redistribution more opaque, and the implementation of the new peace agreement harder.




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Autism Amid Uncertainty: Expert Advice for Parents and Teachers

A leading autism researcher and former special education teacher offers advice to help students cope with the abrupt changes brought on by the novel coronavirus outbreak.




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COVID-19 lockdown: Delayed academic plans and uncertainty-anxiety grips CBSE class 12 students

The COVID-19 lockdown, came with a different set of concerns for class 12 students, whose board exams were postponed midway following the outbreak of coronavirus, putting on hold their future plans as well.




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Fan of routine, Djokovic finds it tough to adjust to uncertainty

World number one Novak Djokovic said he initially struggled to cope with the uncertainty surrounding when tennis can restart after its shutdown in early March due to the novel coronavirus.




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65,000 Indians With H1B Visa Staring At Unemployment, Deportation, Uncertainty Over Visa Rules

The Covid-19 pandemic has not only affected the tech sector but also has given a massive blow to the world economy, resulting in massive layoffs and unemployment. Many companies in the US have started downsizing, due to the economic fallout of the coronavirus pandemic. Indians with H-1B Visas Getting Laid off Priya K, a techie […]

The post 65,000 Indians With H1B Visa Staring At Unemployment, Deportation, Uncertainty Over Visa Rules first appeared on Trak.in . Trak.in Mobile Apps: Android | iOS.




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Brexit uncertainty drives auto industry towards Germany

Tesla's decision part of broader trend of investment into Germany at UK's expense.




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Uncertainty on whether La Nina will replenish the hydropower industry for the SADC

As the water levels in dams in South Africa continue to dwindle, the 2015 Zimbabwe Humanitarian Situation Report notes that water levels in all of Zimbabwe’s seven catchment areas are about 18%, their worst levels in decades.
 




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Insight – Investment continues despite perceptions of uncertainty in Mexico

Perceptions of political uncertainty and community opposition continue to weigh heavily on Mexico’s mining sector.