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Programming, Ble, Software Development.
to compensate for this effect, maintaining a reliable communication link. Opportunities Abound The potential applications of this technology are incredibly diverse, set to revolutionize numerous industries: Global Asset Tracking Reimagined: Imagine tracking shipments, vehicles, or valuable assets | medium | 1,001 |
Programming, Ble, Software Development.
in real-time, regardless of location or cellular coverage. Supply chain visibility and optimization reach a whole new level, reducing losses and improving just-in-time logistics. A New Dawn for Precision Agriculture: Farmers could deploy dense networks of BLE-enabled sensors across vast fields, | medium | 1,002 |
Programming, Ble, Software Development.
monitoring soil moisture, crop health, or livestock location with incredible precision. Remote data gathering empowers proactive decision-making, boosting yields, and maximizing resource efficiency. Environmental Monitoring Without Limits: Wildlife conservationists, pollution researchers, and | medium | 1,003 |
Programming, Ble, Software Development.
disaster response teams will no longer be constrained by terrestrial networks. Sensor arrays can now be deployed in the most remote corners of the globe, transmitting crucial data back via satellite, enabling early warnings and informed interventions. Infrastructure That’s Truly Smart: Bridges, | medium | 1,004 |
Programming, Ble, Software Development.
pipelines, power grids, and remote facilities can be monitored for structural health or operational anomalies using BLE sensors and satellite connectivity. This paves the way for predictive maintenance, reducing costly failures and optimizing upkeep. Conclusion Hubble Network’s innovation unleashes | medium | 1,005 |
Programming, Ble, Software Development.
the true potential of the Internet of Things. Industries that previously faced the limitations of inadequate connectivity or prohibitive costs can now explore entirely new solutions. Companies specializing in IoT and BLE-focused development, such as Sparkleo Technologies, are at the forefront of | medium | 1,006 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
Hands-on Tutorials Changes in resting physiology, sleep, training, and perceived stress during the first 6 months of the pandemic An analysis of HRV4Training users Changes in resting heart rate during the first 6 months of the year. Data for 2020 show a reduction in resting heart rate as the | medium | 1,008 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
lockdowns start in many European countries. Resting heart rate remains suppressed until July. In gray, you can see the comparison with 2019 data. Image by Author Last week I ran a survey on Twitter, which was triggered by seeing the data above: reduced resting heart rate during the first 6 months | medium | 1,009 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
of the pandemic when analyzing HRV4Training data. The data shows a trend that is the opposite of what most of us would have expected: Not so fast. Image by Author In this post, I’ll go over the data in more detail, covering changes in resting physiology, sleep, training, and perceived stress in the | medium | 1,010 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
first 6 months of the pandemic. The dataset For this analysis, I have included HRV4Training users with research opt-in and the following countries (where most of our users are): Australia, Belgium, Brazil, Canada, France, Germany, Italy, Spain, South Africa, The Netherlands, UK, and the USA. In | medium | 1,011 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
total, I could include about 5500 people with on average 3 months of daily measurements per person, for a total of almost half a million measurements. Morning measurements of resting physiology were collected with HRV4Training either using the camera version or external sensors, training data was | medium | 1,012 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
collected by linking the app to Strava or TrainingPeaks, while subjective data were collected using the questionnaire in the app. HRV4Training is the only validated app that allows for camera-based heart rate variability (HRV) measurements. Image by Author Needless to say, this is a specific sample | medium | 1,013 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
of the population: active, health-conscious individuals that are motivated enough to take a morning measurement of their physiology every day. Hence, what is shown in this post is representative only of this sample and might not be applicable to others. Yet, the survey above and the fact that most | medium | 1,014 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
of the exact same individuals that use our platform (me included) expected the opposite to be true (for example an increased heart rate during lockdowns) makes it for an interesting analysis Changes in resting heart rate Let’s start with our initial graph. In the figure below, I show how resting | medium | 1,015 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
heart rate has reduced right after the start of the first lockdowns in Europe. I have also added heart rate for 2019, the comparison makes it easier to rule out things like seasonal changes, and to highlight the reduction in resting heart rate between March and June: Image by Author What could be | medium | 1,016 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
behind it? At this point, we could come up with all sorts of theories. Many people for example pointed out how physical activity could have played a role. Due to lockdowns or in general fewer opportunities to train outside, people might have trained less (we’ll see later that this was not the | medium | 1,017 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
case), or might have spent more time doing low-intensity exercise (also not true) While it is true that there was no racing to do, I am a bit skeptical that a reduction in resting heart rate could be associated with training in individuals that are already very well trained (and over such a short | medium | 1,018 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
period of time). On the other hand, we are talking about individuals that might have been traveling quite frequently, and might in general be a little overworked (which might also motivate looking into an app that helps in quantifying and managing stress). Let’s look into this a bit more. Travel | medium | 1,019 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
and sleep It is no surprise that travel has been impacted heavily by the pandemic, as we can see here: Arbitrary units, travel is logged as yes / no in the app, here we look at the percentage of individuals that reported traveling, which we can see plummets and then starts climbing up again between | medium | 1,020 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
waves, as expected. Image by Author Similarly, with many people starting to work remotely, sleep time was higher and clearly associated with the pandemic, as shown by the comparison with the previous year: Changes in sleep time. We can see a seasonal reduction between May and July but also a clear | medium | 1,021 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
difference between pre and post-pandemic values. Image by Author The picture gets a bit messy when we include many countries (here I have plotted differences over time with respect to January in each individual country so that they start more or less at the same level). We can see the jump around | medium | 1,022 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
mid-March as well as “weekends” both in 2019 and 2020, clear spikes in sleep time: Image by Author Travel and sleep time seem to be two of the main factors behind the change in resting heart rate, especially because these changes are all long-lasting (resting heart rate is still suppressed in June, | medium | 1,023 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
and similarly there is still little traveling and higher sleep time) We’ll see below that other variables, in particular subjective ones, had a more transitory course, and re-normalized quickly. What about training? As I mentioned earlier, training and or changes in fitness could also be behind the | medium | 1,024 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
change in resting heart rate. However, looking at the data, this theory does not seem to hold up. For example, training time did not really reduce (I myself had bought a treadmill, and recall much of my network either did the same or got an indoor trainer for the bike, which anecdotally seems to | medium | 1,025 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
confirm that “highly motivated individuals will train no matter what”). Here is some data, training time lowers a bit at the beginning of March, and then renormalizes. What we can spot is certainly a clear increase once the lockdown was over (in Italy, France and Spain for example): Image by Author | medium | 1,026 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
In terms of training intensity, it seems that a reduction in intensity or more time spent at lower intensities is not really behind the reduction in heart rate either, as training RPE is quite a bit higher than the previous year. However, once again we see first a small reduction, followed by a | medium | 1,027 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
large increase: Image by Author Similar patterns (not shown here) can also be seen when looking at average workout Watts for cyclists. Let’s look at some additional parameters, for example, self-reported fatigue and stress. How did we feel? Let’s start with something training related: fatigue. In | medium | 1,028 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
the app, we report fatigue as “physical” more than “mental” fatigue. We can see in the data below a pattern similar to what we have just seen for training data around the end of March, with an initial dip (possibly due to a short reduction in training time and intensity). However, self-reported | medium | 1,029 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
fatigue does not seem to increase with increased load, and re-normalizes quickly: Image by Author What about self-reported stress? Here is what has been reported in the app: Image by Author This one is the most interesting graph in my view. We can see how there is an initial peak in stress, the | medium | 1,030 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
pandemic is obviously a reason for serious concern. However, after a while other factors might be playing a role: the effect of increased sleep time, reduced travel, etc. — which result in self-reported stress levels being a lot lower than 2019 Note how there is no change between January and March | medium | 1,031 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
in 2020 with respect to 2019, highlighting how the changes shown here are most likely associated with the pandemic. Heart rate variability (HRV) Finally, as my work is typically focused on physiological stress and heart rate variability (HRV), let’s look at that data as well. In general, I always | medium | 1,032 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
recommend not doing what I am about to do: comparing HRV between people, groups, or different periods of time. I strongly believe that HRV is an effective tool to capture changes in stress within individuals so that we can gather objective feedback and implement daily adjustments to better manage | medium | 1,033 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
stress, more than comparing groups. This is different (in my view) from resting heart rate, and this difference can be seen in its simplest form in the fact that resting HR is a decent predictor of VO2max, while HRV isn’t. HRV is about continuous feedback and stress management. Enough with the | medium | 1,034 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
digression, please check out this list of case studies or this webinar if you are new to HRV and you are interested in the topic. This being said it is undeniable that there are relationships at the group level when we look at macro-differences in the population (for example lower HRV in sedentary | medium | 1,035 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
individuals, a drop with age, and all I have shown here). A major disruption with implications all around the world (the pandemic), clearly qualifies for something that might have a large effect on the physiology of many individuals in a similar manner. Let’s look at HRV data over the same time | medium | 1,036 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
frame: Image by Author While the variation here is small, it does seem that between March and May, we can spot the following: First, we can see a dip in HRV as the pandemic starts and everyone is really stressed about what is happening and the many unknowns around us Then, we can also see an | medium | 1,037 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
increase in HRV as some of the other changes kick in (increased sleep, reduced travel, reduced perceived stress) Outside of these two events, the line is pretty flat, as we would expect for something that is a marker of stress (many factors at play, here we are averaging thousands of people, so | medium | 1,038 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
again, unless something really big is happening, there should be no highlight in the data, similarly to what we have for self-reported fatigue or stress in 2019). Wrap up In the 9 graphs above, I have shown changes in resting physiology, sleep, training, and perceived stress during the first 6 | medium | 1,039 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
months of the pandemic. While large, acute stressors have undoubtedly characterized much of this year (and can be seen in some of the graphs above in terms of HRV dips or self-reported metrics), it is also clear both from objective data (travel, sleep, physiology) and self-reported stress levels, | medium | 1,040 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
that some changes in our lifestyle have led to possibly unexpected positive outcomes (increased sleep time, reduced resting heart rate). Once again, while here we analyzed a reasonably large sample (5500 people), these relationships are specific to this population and do not necessarily apply to | medium | 1,041 |
Heart Rate Variability, Stress, Data Science, Editors Pick, Hands On Tutorials.
others. I hope you have found the write up informative, take care! Marco holds a PhD cum laude in applied machine learning, a M.Sc. cum laude in computer science engineering, and a M.Sc. cum laude in human movement sciences and high-performance coaching. He has published more than 50 papers and | medium | 1,042 |
Life, Life Lessons, Change.
Transitions — A storm front at dawn. Transitions. Transitions are never really seamless are they? There is always a clear difference between the starting point and the end point, but the middle part tends to be messy. I remember when I was losing my baby teeth for adult ones. It was painful and | medium | 1,044 |
Life, Life Lessons, Change.
having a gap between your teeth looked funny. But it was ‘normal’ and it was easy to deal with as everyone around me was going through the same thing. But when it comes to an emotional change or shift in mentality from one stage to another, I feel that it’s a lot harder to deal with because there | medium | 1,045 |
Life, Life Lessons, Change.
are no ‘teeth’ or tangible markers to indicate progress, regress, or even the fact that you are in a transition phase. Also, it seems like we are frequently faced with processing and handling these subjective changes alone as not everyone around us is experiencing the same thing (or if they are, or | medium | 1,046 |
Life, Life Lessons, Change.
have experienced something similar, they have chosen to keep what’s going on with them private). When I struggled through a transition period After returning from my travels, I was in a state of limbo for a couple of months. I had a clean slate and the possibilities were endless, but the ‘endless’ | medium | 1,047 |
Life, Life Lessons, Change.
part made it difficult to decide on a course to take. Since I didn’t know where I was at, I made a lot of ‘non-choices’ such as: moving out of home but put off changing my address on the papers because I was unsure as to how long I would be staying there; delay making a decision on signing up and | medium | 1,048 |
Life, Life Lessons, Change.
joining a tennis club to play pennants because I didn’t know if I would be here for the whole season; and not being able to RSVP to weddings because I couldn’t tell the couple if I was going to be around at the time. I generally avoided making any commitments that extended beyond 2 months because I | medium | 1,049 |
Life, Life Lessons, Change.
didn’t want to disappoint, and I didn’t want the promises that I made to hold me back from making any decision about staying in Perth or going out into the world again. This was a tough period. I just felt stuck. But after working for a while, I started to live more in the present and I allowed | medium | 1,050 |
Life, Life Lessons, Change.
myself to commit to things as I stopped worrying about the future. I officially changed my address, joined that tennis club and played pennants, signed up for two semesters of zouk dancing class, got back into indoor beach volleyball and invested time in my family and friends by accepting | medium | 1,051 |
Life, Life Lessons, Change.
invitations to events and get togethers. I was very, very happy at this point of my life! I felt like things were moving forward. I enjoyed not thinking about the future, consequences and trying to figure out my life ambition. I lived in the moment and lapped up summer. Learning how to embrace the | medium | 1,052 |
Life, Life Lessons, Change.
transition period Now after several months of allowing myself the space to have fun and to live in the moment, I’ve started to become restless as some of the decisions and the ‘non choices’ I made a few months ago, no longer feel right. And so, I’ve re-entered the frustrating transition phase. But | medium | 1,053 |
Life, Life Lessons, Change.
it’s OK. Even though I’m still frustrated and annoyed because I have no idea what I’m doing, I’m trying to embrace this awkward transition phase by reminding myself of the following: 1. It’s OK to change your mind — we are in a constant state of change The question of what I wanted for the future | medium | 1,054 |
Life, Life Lessons, Change.
was brought up in a discussion recently. While trying to figure out ‘what I really wanted’ under pressure, one of the things that I blurted out was ‘we are always changing, and what I want now may be different to what I want in two weeks time.’ I didn’t know what circumstances ‘Future Anna’ would | medium | 1,055 |
Life, Life Lessons, Change.
be in, so I thought, why should ‘Now Anna’ worry about what may or may not happen when making a decision that is presented to her now? Any choice made will create its own variables of potential circumstances (which may or may not be different to what I had worried about at the time of the | medium | 1,056 |
Life, Life Lessons, Change.
decision). So I’ve decided to tell myself that it’s best to address any issue relating to a choice when, or if it ever eventuates, and to not let my past decisions restrict me as it’s OK to change my mind. I’ve found that once I’ve reminded myself of this, all that pressure from worrying is gone! | medium | 1,057 |
Life, Life Lessons, Change.
It has also made me be at peace with my past decisions and to be open to re-looking at options that I may have discarded previously. 2. No choice is a bad choice so long as the choice feels right to you at the time Following the first point, I found that so long as I make a decision that feels | medium | 1,058 |
Life, Life Lessons, Change.
right in my bones at the time, it’s not a bad choice. When I began to make decisions based on what sounded logical and what felt right at the time to me, it really felt like I was going with what was natural. I felt happier and free after the decision instead of second guessing myself as to if I | medium | 1,059 |
Life, Life Lessons, Change.
did the ‘right’ thing. By prioritising my needs and wants over other people’s feelings and considerations, I felt more in control with my life. And even though the decision may be wrong for others, so long as I was happy with my choice, if it was a mistake, it was my mistake to be made. 3. Mistakes | medium | 1,060 |
Life, Life Lessons, Change.
are totally cool I feel that trying to avoid making mistakes is pointless. You’re never going to know it’s a mistake until after the fact when you see the consequences. But instead of accepting a mistake as a lesson (as in ‘yup, my bad, serves me right’), I think we should focus on embracing a | medium | 1,061 |
Life, Life Lessons, Change.
mistake as a lesson (as in ‘oh damn, so why was this a mistake?’ and ‘what does this show me?’). I’ve made a lot of rookie mistakes and I’ve found that when I understand the lesson, the mistake doesn’t define me as a bad person for making it. Instead of feeling guilty, embarrassed, hopeless and | medium | 1,062 |
Life, Life Lessons, Change.
wrong, I actually laugh at myself, shake my head at ‘Naive Anna’, and I feel happier because I’ve been enlightened. 4. Transitions are the exciting part of life I think transitions are the ‘chaos’ aspect in life. So many possibilities and uncertainty. It’s the part where we don’t feel in control, | medium | 1,063 |
Life, Life Lessons, Change.
and where the concepts of ‘predictability’ and ‘routine’ are shelved for the time being. I find it stressful and I tend to ‘get my worries on’ because I don’t know what to expect. There’s so many more questions than actual answers. But looking back on previous transition periods, they are when I’ve | medium | 1,064 |
Life, Life Lessons, Change.
grown the most. It’s where I’ve been tested and where all my defining moments and memories are created. When I was in my routine and I knew what I was doing day in and day out, I got comfortable, stopped asking the questions and searching for answers. Though this made me content, and happy, it did | medium | 1,065 |
Life, Life Lessons, Change.
not put me in the situation where I had the potential to learn about myself and grow. So while stressing out during this transition time, I’m constantly reminding myself that this is the exciting part, so try to enjoy it! 5. This too shall pass Like all things in life; the flu, feelings of | medium | 1,066 |
Life, Life Lessons, Change.
excitement, achievement, disappointment, heart-break, stress, problems, wins and losses etc, this transition period will pass with time. Just got to hang in there! Gaaaah! What do you guys think? What kinds of life transition periods have you experienced? How have you coped with change and what | medium | 1,067 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
Humanitarian aid has long triggered mistrust. We now have the tools to ensure transparency, accountability and coordination. Let´s use them. Jojutla, Morelos, Mexico (photo by Juan Luis Rangel) The overwhelming support shown towards the millions of people affected by the recent natural disasters in | medium | 1,069 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
Mexico and the Caribbean embodies the importance of solidarity in the face of emergencies. Donors both within these countries and elsewhere must ensure that the aid they provide is timely, effective, and appropriate for local needs. After a 7.1 earthquake hit southern Mexico on September 19th, and | medium | 1,070 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
Hurricane Maria left 3.4 million US citizens without power on September 20th in Puerto Rico, there have been multiple barriers to effective and transparent aid: calls of corruption in Morelos, confusion amidst the inefficient distribution of medical supplies in Puebla, assistance mainly focused on | medium | 1,071 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
Mexico City, leaving neighboring states in urgent need of relief aid, slow and reluctant efforts to gather federal aid for Puerto Rico, and little accountability and transparency with the use of donations. During humanitarian emergencies and disasters, maximizing donations and resources | medium | 1,072 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
appropriately becomes critical. What is the most concrete approach to ensure that our actions have the greatest impact, not only in the acute phase, but also in the long run? We present ten key strategies for effective altruism in the aftermath of disasters. 1. Use reliable information. Social | medium | 1,073 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
networks and open data are essential tools for civil society to organize, communicate, and document validated information. For example, this damage map helped coordinate efforts during the acute phase of the earthquakes in Mexico, and was a collaboration between students, journalists, and civil | medium | 1,074 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
society through Google Maps. 2. Send money, particularly if you live far away from the affected communities. Non Governmental Organizations (NGOs) working on the ground can help the local government conduct a needs assessment to evaluate changing needs in real time and address them accordingly. 3. | medium | 1,075 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
Do no harm. Sending food, medications, and other goods in humanitarian emergencies can be counterproductive or inadequate, inundating the local economy and having a negative effect on the livelihoods of local merchants. Similarly, relief collection centers can overflow and, once in country, | medium | 1,076 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
transport used to distribute aid can be diverted for political purposes, particularly when there are no mechanisms to identify priorities or the most appropriate beneficiaries. Your contribution will be more effective by providing economic support to organizations planning for medium and long-term | medium | 1,077 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
reconstruction of affected communities. 4. Support organizations active in areas receiving limited federal aid. Axochiapan, Copalillo, Chahuites, Ángel Albino Corzo, and Villaflores are some of the 323 municipalities that the Mexican government has declared in state of extraordinary emergency after | medium | 1,078 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
the earthquake. In Puerto Rico, 80% of the electric power and telecommunications infrastructure was destroyed, and over 40% of people were left without drinking water. The full extent of the crisis has not been assessed or mapped yet; however, NGOs like Iniciativa Comunitaria are already | medium | 1,079 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
documenting their efforts to reach the communities that were most affected and which are still awaiting federal assistance. 5. Trust NGOs with the capacity and logistical infrastructure to coordinate and monitor field activities. From past disasters, there is a lot of mistrust for humanitarian aid | medium | 1,080 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
and corruption. We recommend platforms like GiveWell and Charity Navigator to learn more about research-backed philanthropy and effective giving. 6. Promote the reconstruction of housing and the built environment. Women and children are disproportionately affected by natural disasters. Since | medium | 1,081 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
community social capital can promote resilience in individuals and families, support organizations that equip locals with appropriate tools and technical assistance to rebuild their communities. Fondo Semillas connects donors with community-led participatory development projects that empower women | medium | 1,082 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
after disasters, and Techamos Una Mano is helping families rebuild their houses in Oaxaca, a state where 57,000 houses and buildings were damaged or lost. ConPRometidos and Global Giving are both committed to transparent efforts for long-term relief in Puerto Rico. 7. Prioritize mental health. | medium | 1,083 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
Natural disasters can affect the psychological health of populations. People living in poverty, having to relocate from their homes, being internally displaced, or lacking social networks have a higher risk of developing symptoms of Post-Traumatic Stress Disorder (PTSD). Promote and/or use | medium | 1,084 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
resources and services offered by organizations focusing on interventions to address the mental health of affected populations. 8. Leverage civic engagement. Governments are responsible for protecting the health and wellbeing of their citizens. If you have access to your government officials, hold | medium | 1,085 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
them accountable for their emergency preparedness and response efforts for these and future emergencies. Call your representatives, advocate for national health emergency and disaster management capacities for all states and territories, as well as for anti-corruption strategies to ensure | medium | 1,086 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
appropriate use of resources. 9. Volunteer your time and skills. Find an opportunity where you can have the most impact, supporting organizations experienced in emergency relief efforts. If you study or work in public health, engineering, architecture, programming, or law (among others), reach out | medium | 1,087 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
to local government agencies, consulates, and civil society organizations to discuss how you and your networks can get involved in existing projects. For example, TECHO is recruiting volunteers in Puerto Rico to assist in relief and reconstruction efforts alike. 10. Do not lose interest. The | medium | 1,088 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
reconstruction and restoration of the affected communities will take years; still, public engagement quickly dwindles after disasters. Beware of donor fatigue, a phenomenon where people get tired or distracted from the tragedy after a few weeks. Continue your engagement and spread out your | medium | 1,089 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
donations and actions over several months. As days and weeks go by, the type of help and needs will continue to evolve — just last week, 22 died after tropical storm Nate hit several countries in Central America. Hundreds of thousands are expected to leave Puerto Rico for the United States. It will | medium | 1,090 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
become imperative to assist in the reconstruction of housing, psychological support, and reactivation of local economies across the region. Do not let the fear of corruption and mistrust frustrate our common solidarity. The love for our countries, for our communities, and for our humanity will | medium | 1,091 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
propel the effective altruism for better results in the short, medium, and long run. This article was written in collaboration with Alejandra Alcaraz (MS in International Relations, Northeastern University), Paola Abril Campos (DrPH Candidate, Harvard University), Hector Carrasco (MD, Tecnológico | medium | 1,092 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
de Monterrey; MPH, Johns Hopkins University; DrPH Candidate, Harvard University), Luis Carrasquillo (Biomedical Engineer, Boston University), Mario Flores (MD, UNAM; Visiting Researcher, Harvard University), Miguel Angel Guevara (Master of Public Policy, Harvard University), Thalia Porteny (Master | medium | 1,093 |
Effective Altruism, Humanitarian, Civic Engagement, Mexico, Puerto Rico.
of Global Health and PhD Candidate in Health Policy and Ethics, Harvard University), and Enrique Valdespino Serrato (MD, Tecnológico de Monterrey; MMSc-GHD, Harvard University). Paola Peynetti was born and raised in Mexico City. She earned a Master of Public Health degree from Boston University in | medium | 1,094 |
Quantitative Analysis, Internships, Internship Experience, Career Advice, Motivation.
Protégé Mentorship : Quantitative Analysis In this update of the Protégé Mentorship series we have shared the experiences of Nishant Mittal, (IIT-R 2022, Civil Engineering). He bagged the internship at I-Rage Capital for the role of Quantitative Analyst. INTRODUCTION How did you pursue the field? | medium | 1,096 |
Quantitative Analysis, Internships, Internship Experience, Career Advice, Motivation.
(Initial Approach, Resources) I started my journey in Finance with an online course on Coursera: Understanding Financial Markets by the University of Geneva. Further, I participated in a worldwide Quant competition: International Quant Championship by World quant LLC which helped/forced me to | medium | 1,097 |
Quantitative Analysis, Internships, Internship Experience, Career Advice, Motivation.
rapidly upskill myself in the field of Quantitative Finance. We ended up winning 2nd position in the National Finals against teams top IITs, IIMs and BITS. This experience cemented my stance and helped me confirm that this is the field I would like to explore in the future. Beginners can also start | medium | 1,098 |
Quantitative Analysis, Internships, Internship Experience, Career Advice, Motivation.
by reading the first three modules of Zerodha Varsity and the online courses Trading Basics and Advanced Trading Algorithms by ISB (both on Coursera). I also recommend interested folks to start following the stock markets and tracking various news and their effects on the financial markets(Fin | medium | 1,099 |
Quantitative Analysis, Internships, Internship Experience, Career Advice, Motivation.
shots is a great source for this). I believe this habit goes a very long way in developing an instinct of the markets, which is key to the profession. What was your strategy for preparing for the Internship season? The intern/placement procedure at IITR heavily relies on competitive programming | medium | 1,100 |
Quantitative Analysis, Internships, Internship Experience, Career Advice, Motivation.
skills. I shortlisted the companies that visit IITR for finance roles(only a handful) and talked to my seniors about the type and criteria of their shortlisting tests and the kind of questions asked in the interviews. I focused my preparation only on these firms and thoroughly practiced the type of | medium | 1,101 |
Quantitative Analysis, Internships, Internship Experience, Career Advice, Motivation.
questions asked previously. EVALUATION AND HEADNOTE How does the selection procedure take place? Please brief your experience and provide tips for acing it. 1) Test Sections and Experience Aptitude and Logical Reasoning Data and Analytical Coding Questions 2) Technical Interview Questions and | medium | 1,102 |
Quantitative Analysis, Internships, Internship Experience, Career Advice, Motivation.
Experience The interviews were challenging and grilling. Post the compulsory quant and coding questions, I feel that the interviewer provides a window to discuss your preferences and interests and also the stuff you mention on your resume. Make sure you are extremely thorough with whatever you | medium | 1,103 |
Quantitative Analysis, Internships, Internship Experience, Career Advice, Motivation.
mention and write on your resume and you use this tiny window to the fullest. 3) HR Interview Experience I was very sure about the choice of my field and the work that I wanted to learn as an intern which was very much in sync with the offered job profile. The HR part of the interview was thus very | medium | 1,104 |
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