The Case For Change & Accountability at the Holmdel BOE

I have been a resident of Holmdel since 2017. Ever since we came here, I have seen our schools underperform. When I reached out to the BOE and its current members, I did not receive a constructive response to work together to improve what I saw as issues. 

I am a little concerned that so far, we have been playing a game of musical chairs. For example, Dr McGarry, who was the previous superintendent, was the one driving the Holmdel 2020 initiative. We took his word for it and voted in favor of this investment. He left shortly after without an explanation to the community or providing a status on how the project implementation was going. Now some of the current board members say that this was before they were elected to avoid accountability. 

The way I see this – The school board has a fiduciary duty to the town’s residents. Even if this was before a board member’s time, I expect the board member to have made a determination on whether the project in question was on track and was achieving its objectives when they came onboard. If it was, great! If it wasn’t, then the board needs to course correct and report back to the community on what was missing and how things were going to be brought back on track. Saying it was before your time should never be acceptable!   

As you can tell from the following stats, our dollars do not go as far in improving the quality of education or rankings as other school districts. I have not included the vocational school districts in this comparison, so that we are comparing our school to similar suburban high schools fairly.  We seem to spend more money per student, but are still ranked lower than a lot of other public high schools. 

Data from:  https://www.schooldigger.com/go/NJ/schoolrank.aspx?level=3


I will not belabor the point by listing every school that is above us here, but I assume you get the point. 

The Holmdel 2020 Initiative: 

I understand that we had not invested in school infrastructure upgrades for a while, and it’s justified to invest in giving our kids better facilities. But we should also be interested in tracking the ROI on our investment of $40M in this project. How much of these funds went into improving the metrics that drive our rankings? And having made this investment, the least that the community should expect is for the board to share how these metrics have trended quarter over quarter, so we have the confidence that the quality of education is improving and so will our rankings in the future. Anyone who has asked the town to make an investment in the school makes the case that improved rankings will drive up home values and therefore result in better returns for tax payers. We haven’t seen any such improvements in Holmdel yet! 

Holmdel Metrics from US News and World Report High – School Evaluation Criteria: 

These are the metrics that drive our US News rankings and here’s our current evaluation on each metric: 

Source:

Current: 

https://www.usnews.com/education/best-high-schools/new-jersey/districts/holmdel-township-school-district/holmdel-high-school-12585#test_scores_section

2016:

https://web.archive.org/web/20161014054840/http://www.usnews.com/education/best-high-schools/new-jersey/districts/holmdel-township-school-district/holmdel-high-school-12585


As you can see, there is a precipitous drop in Math proficiency since 2016. The reading proficiency has also fallen in this period. The obvious question to ask here is, have we lost a number of our good teachers? Each of us has anecdotally heard of teachers leaving or retiring. It would certainly make sense for the board to share these attrition statistics.  Also, when filling these positions, do we strive to maintain the same level of seniority/expertise when we hire replacement teachers? Are our kids getting as good of an education as before? 

Another argument that is used to explain away similar performance drops is that we lose a lot of students to the county’s vocational school district schools. That is not really relevant here to explain this drop since the vocational schools existed in 2016 as well, and were roughly pulling in a similar cohort from the high school. 

We have had an interim superintendent for more than a year. I very much like Dr. Seitz and I believe we are doing him a disservice by keeping this position temporary. I would like to know whether the board has confidence in him? If it does, please confirm this as a permanent position or if it does not, please begin a search for a permanent superintendent so that we can have accountability. Again, I am against playing musical chairs where no one takes responsibility. 

One final item that is often mentioned by our current board members is that we were the platinum standard for school reopening. Before coming to that conclusion, I would like to see the studies that the board has reviewed (preferably double blind) before making investments into “UV-C lighting, bi-polar ionization filtration units,  antimicrobial coatings on commonly used surfaces, retro-commissioned the District HVAC systems”. Lack of having a cluster of cases does not indicate that these measures are the ones responsible for this (correlation does not imply causation). As you realize, a number of us chose to keep our kids home last year. Before the start of this school year we had vaccines available to our kids 12 years or older. How do we know that these factors have not had an effect in preventing clusters of infections as did our investments into infrastructure improvements? Attributing it to a single factor is not supportable without appropriate studies. 

I prefer using data to come to meaningful conclusions, because if you cannot measure it, you cannot improve it. And I haven’t seen meaningful metrics being tracked by the board or shared with us. 

That said, I believe that it is time to bring change and new blood to the school board, so that it can be more receptive to our concerns about getting our schools to prepare our kids for a much more competitive future. My advice to the parents in Holmdel – please talk to each of the candidates to make up your mind on who can/will bring about this change. You should specifically be asking each of them what changes they intend to bring about, and what metrics will they track/measure regarding these changes so that we as a community can determine if we are on track and how will they transparently share these metrics at each BOE meeting over their term. 

We owe this to our children! 

What if – we could have progress without the crushing pollution…

What the lockdown shows us… the earth can regenerate without us and come back even more beautiful.

Here’s Paris, with its streets deserted and in its full glory without any humans outside. And here’s Bangalore, which reminds me so much of the 1980’s Bangalore that I grew up in. I often biked around the city, which is absolutely not possible in today’s Bangalore given the traffic and the unimaginable growth of the city. There is footage from Rome, Venice and New York. All makes you feel we are in a dystopian “I am Legend” world.

But there is something else as well – which is the earth does not need us, instead it is us who needs the earth. And in our pursuit of industrialization and rapid development, we have spoiled this pristine planet. Some of the following pictures show you what just a month of stopping industrial production can mean in terms of pollution.

But there is another way. Do we really need to pollute the planet that we live on just in the name of progress. As is evident from this podcast – The Ezra Klien Show in conversation with MacArthur genius Saul Griffith, or Saul’s post in Medium, it is possible to have a completely electric future based on harnessing renewables. The solar energy coming to the earth is 40,000 TW. Wind energy is about 3,600 TW. Bio fuels is about 90TW and geothermal at 32TW. Our entire consumption as a species is about 10-20TW. So it is entirely possible that with community micro power generation efforts we are able to move completely to an electric future without the pollution and extraction effects of fossil fuels just using solar and wind. Of course we would need to address the variability in power generation from these sources between night and day or seasonal variations. This would mean we need advancement in our storage and transmission technologies to really make this happen. Saul has some calculations in his article that this would need about 1% of the land area for solar collection. Today our roads take up 1% of the land area and roof tops about 0.5% – so this is entirely doable.

Towards this, we have started installing solar at home, but got caught up in first our utility company JCPL denying the size of the installation. Even when we pointed out that we had a much larger shade factor given the trees in the backyard on our retaining wall, they only agreed to a much smaller installation of about 16kW instead of the proposed 26kW system with the understanding that we could expand in a few months when the electricity generated did not meet all our needs. Then came the lockdown from covid-19. We were locked out for a few months, but finally we do have an install date – 8th June. Very excited and looking forward to it.

Another aspect to consider is looking at the total energy usage that we all have. For us the electric consumption is extraordinarily large – 22kWH over a year. Obviously I have some errant devices that are sucking away so much of power – but given we moved to this home 2 years ago, I have no clue what is this energy hog. Towards this, I am installing a device called IotaWatt that uses current transducers to measure power consumption at each breaker in the box. Once we determine which device needs to be replaced, I am planning on replacing or switching off those devices and using the power capacity to convert my natural gas furnaces to electric ones. While per watt they may be more expensive than natural gas, with your own generation of solar electricity, that should not really matter. Will keep you posted on how our plans proceed…

First they came for…

Looking at the news today, this was very apt to quote…

“First they came for the Communists
And I did not speak out
Because I was not a Communist

Then they came for the Socialists
And I did not speak out
Because I was not a Socialist

Then they came for the trade unionists
And I did not speak out
Because I was not a trade unionist

Then they came for the Jews
And I did not speak out
Because I was not a Jew

Then they came for me
And there was no one left
To speak out for me”

~ German Lutheran Pastor Martin Niemöeller 

Some Covid-19 Related Thoughts…

Reasons

So what happened…I think its clear to every one that we are in the middle of a pandemic with a new virus, one that we do not know much about and are just discovering its structure, understanding its impact on the human body and figuring out its R (reproduction number i.e. average number of people who will contract a contagious disease from one person with that disease) and its mortality rate (how deadly is the virus). The R0 appears to be higher (5.7 per some studies) than the early estimates of 2-3.

As if this wasn’t enough of a challenge, we already had a trade war with China with retaliatory tariffs on both sides and then came the ugly spat between Russia and Saudi Arabia which led to a plunge in the global oil prices and some challenges with an ETF (USO) caused oil prices to go negative for a few days when all storage capacity for oil was full and no one was ready to take delivery from oil producers and refiners.

As a result of the pandemic (and related geo political conditions) , in the US we have lost 36.5M jobs the past 8 weeks and the unemployment rate has skyrocketed from 3.5% to 14.7% last month. But there were other reasons, why this crisis hit us so hard. In addition to the demand and the supply shocks that came from this pandemic we had ongoing geo political strains and trade wars; our classic response was to lock down to flatten the curve to not max out our hospital capacity. So it was going to be bad, but it feels worse given a number of stresses that had already been built up in our society:

  • Inequity & Inequality: While globalization delivered on overall growth and in aggregate seemed to raise all boats, it wasn’t able to address inequity and inequality within individual countries and in a crisis it appears that more of the suffering and pain is experienced by the poor. Having very meager reserves and sudden loss of employment is not easy to deal with in a global pandemic resulting in food scarcity. There is also a very different death rate experienced by communities of color as compared to others. One way to understand why the lack of reserves matters so much during a pandemic, is the lack of buying power prevents an individual to adjust to the availability of items especially during a breakdown in the food and essential items supply chain. Think about this – a person who buys toilet paper for his/her needs every week, given the break in supply chain they may not find TP on their weekly trip to the store. Without reserves it is very hard to stock up on essentials when the tradeoff is food/healthcare or other necessities…
  • Lack of a safety net: Mostly in the US, not having a health safety net and universal health coverage has prevented a number of people and illegal immigrants from either being able to avail testing or treatment. In a global pandemic its important to identify and isolate not just look at the ability to pay for healthcare or legal status of the individual. While congress enacted free testing and treatment, it was a little too late and did not universally cover everyone.
  • Unbridgeable ideological fault lines: We have become so ideologically fractured that we cannot even objectively evaluate one another’s arguments as can be seen by one side arguing for closing longer till certain metrics are met while the other side arguing for lifting all shelter in place restrictions in the name of liberty and damage to the economy. At this time, we cannot even have a rational conversation on immigration, guns or abortion. Given this deep divide neither side is willing to accept the other’s arguments on good faith and therefore we do not have a unified response or a coherent public policy. And a dysfunctional federal government has not helped during this pandemic.
  • Climate change impacts: We are all aware of the massive climate change impacts on our eco system, whether it be in the form of droughts, forest fires, rising seas, or the excess energy in the atmosphere and thus more violent and destructive storms. All of this will result in mass migrations of both humans and animals. These massive disruptions, given our tendency of looking inwards by closing borders and ignoring our neighbors does not bode well for our future.
  • State and local government financial predicament: With their finances already under strain from pension obligations and past mismanagement, the covid-19 crisis has been an incredible strain on local governments who have had to deal with much larger commitment towards first responders, cover testing, support for medical facilities, contact tracing and work on identifying and isolating patients to prevent spread. With a larger opposition from republican majority leader on bailing out state and local governments, it is not clear how much support they can get from the federal government, and without the ability to print money this is a crisis just waiting to unravel.

Response

Most governments have had a multi pronged response to the crisis:

  • Health/Medical – The primary focus at the moment has been to manage the most severe symptoms from the disease and provide life support in patients under critical condition. This includes ventilator support once a patient’s lungs have been inflamed to a point where they are unable to exchange oxygen to support respiration needed for bodily functions. The focus has been on flattening the curve i.e. to slow down the infection rate so that the number of severely affected and critical patients does not exceed the local area hospital capacity, the ICU units and ventilators. In parallel there are efforts underway to discover both a vaccine and an effective cure or treatment for the disease. The human body’s immune system goes into overdrive and attacks the virus. In many cases, it may be this reaction that is fatal for the patient rather than the original infection. Remsidivir seems to be a promising treatment, although it only weakens the body’s immune system when attacking the virus – so not a real treatment to the disease but a remedy to one of our body’s critical response from the infection. Again we do not know much about how this works or the other impacts that the virus has on us. We have had reports of blood clots and arterial infection in kids similar to Kawasaki disease even when they haven’t exhibited any symptoms from the infection. The hardest part in controlling the infection in the population is that people who are infected and may not be exhibiting symptoms may still be passing on the infection to others. Hence the necessity of antibody test to determine if you have been infected. There also isn’t consensus on whether the antibodies produced from an infection results in immunity against the disease in the future.
  • State/Immigration/Domestic Policy response – While I have mostly followed the government policy in the US, most countries have behaved similarly – closing borders, escalating trade tensions, a hardened response to immigration whether it be towards limiting net new immigration, or excluding immigrants from any fiscal policy responses that they have come up with. This absolutely does not help since infection in the immigrant community still causes the same kind of death, devastation and further infection potential as it would in the native population. There has also been a very stiff competition for acquiring medical equipment like ventilators, ppe and other testing supplies including a number of shady and unscrupulous players who have taken advantage of the desperate nature of the crisis.
  • Fiscal Policy: I can describe the fiscal response in the US. Most other countries have enacted similar policies of fiscal stimulus, employment support and fiscal support in the form of loans or grants to small and medium scale businesses. The US congress initially started with $8.3 B funding for the public health agencies. It was followed up by a Family First Corona Virus Response Act for $192B. Next came the CARES Act costing about $2 T, followed by PPP- II for $483 B. Congress has passed another $3T package in unemployment support, fiscal help to families, state and local governments and other tax cuts. Not sure if this makes it all the way through (given the opposition in the senate and from the white house), although if the crisis worsens, a lot more people may come around to it.
  • Monetary Policy (Items listed are Fed actions from before April 30, 2020): There has been a wide range of actions from the Fed towards a Monetary policy response. It started with the Fed reducing the Fed funds rate from 1.5% to almost 0 along with the guidance for rates to be low as long as necessary. The treasuries and mortgage backed securities that had become dysfunctional since the outbreak were supported by the Fed to the tune of $500 B in treasuries, and $200B in government guaranteed mortgage backed securities. On March 23rd the Fed increased its commitment to open ended support. Also extended support to include commercial mortgage backed securities, treasury securities and agency mortgage backed securities. The Fed next started the PDCF (Primary Dealer Credit Facility) for very low interest rate (0.25%) loans up to 90 days to 24 large financial institutions known as primary dealers. Next came the MMLF (Money Market Mutual Fund Lending Facility) lending to banks against collateral they purchase from primary money market funds. The Fed followed this up with Money Market Support with repo operations to funnel cash to money markets. The Fed then started direct lending to Banks, lowered the rate it charges banks for loans from its discount window from 1.75% to 0.25%. This was followed up by relaxing regulatory requirements to encourage dipping into regulatory capital and liquidity buffer so that they can increase lending during the downturn. PMCCF (Primary Market Corporate Credit Facility) is a program for direct lending to corporate employers by buying new bond issuance sand providing loans. Borrowers may defer interest and principal payments for at least 6 months to have the cash to pay employees and suppliers. SMCCF (Secondary Market Corporate Credit Facility) is used by the Fed to buy existing corporate bonds as well as exchange traded funds investing in investment-grade corporate bonds. With the CPFF (Commercial Paper Funding Facility) the Fed buys commercial paper, essentially lending directly to corporations for upto 3 months at a rate between 1-2% points higher than overnight lending rates. SMB loans are the Fed’s main street lending program, announced on April 9th and expands on April 30th, aims to support businesses too large for the small business Administration’s Paycheck Protection Program (PPP) and too small for the Fed’s two corporate credit cavities through new loans facility, expanded loans facility and priority loans facility for up to $600B in four year loans. For households & consumers the Term Asset-Backed Securities Loan Facility (TALF) helps support student loans, auto loans, credit card loans and loans guaranteed by the SBA. The Fed is also lending to the state and local governments through the Municipal Liquidity Facility created on April 9 and extended on April 27th. For Muni bond support, the Fed is also using two of its credit facilities to backstop munis. It expanded the eligible collateral for the MMLF to include highly rated municipal debt with maturities of up to 12 months, and also included municipal variable-rate demand notes. In addition for International Swap Lines, the Fed is making U.S. dollars available to other central banks, so they can lend to banks that need them. The Fed gets foreign currencies in exchange, and charges interest on the swaps. The Fed also is offering dollars to central banks that don’t have an established swap line through a new repo facility called FIMA (for “foreign and international monetary authorities”). The Fed will make overnight dollar loans to the central banks, taking U.S. Treasury debt as collateral. Finally, the Fed is also putting $2.3 trillion in lending on its balance sheet to support households, employers, financial markets, and state and local governments
  • It appears that the executive, legislative and the monetary policy arms of the US government is literally throwing the kitchen sink at the problem to figure out what sticks. Eventually what will be needed is a full monetization of the fiscal deficit, if we are to move past this crisis.

Predictions

For the Economy:

  • V-Shaped Recovery: A V-shaped recovery is a sharp downturn and then a very quick recovery. It is possible when structurally there is no problems with the economy or the markets and right after the pandemic is over, things get back to normal. It is hard to make this case at this point of time given that there will be lingering doubts about a second wave, or we would be muddling through with cases without a clear end. Also a vaccine or treatment is at least a year away, so the case for a V-shaped recovery appears implausible.
  • U-Shaped Recovery – This is the case where there is a prolonged downturn, but after the crisis is over – things come back to the state it was before the crisis. This is also hard to argue for because a 15% unemployment for even a few months is a hard knock to recover from, given the average saved emergency fund for an American is not even $400. So a longer downturn means more bankruptcies, more food and housing insecurity and therefore not an easy path back to normalcy. Also given that we have had a business cycle boom for the last 10 years, a recession is overdue.
  • I or L Shaped Recovery: This implies a sharp drop and the economy muddling through at the bottom. At this point this seems likely, given the incoherent policy from the federal government. Although the one contrarian point here is the unprecedented support from the Fed, even greater than the 2008 financial crisis.
    • Greater Recession: In my opinion, this is the likely scenario. Given that there is nothing fundamentally wrong with the economy, the productivity gains we have had over the past decade are meaningful, although the unemployment and lack of emergency savings is definitely an issue. Hence the case for a longer recession.
    • Greater Depression – this is unlikely given the extraordinary fiscal and monetary support to the economy described above from the lessons we have learnt from the 2008 financial crisis.
    • Stag Depression – I do not believe we are going in for a stagflation depression. There is the case for inflation, given the massive amount of public debt. At some point of time, there will be a massive package of infrastructure investment to decarbonize the economy which will push up the productivity and the returns from such an infrastructure investment will prevent stagnation. It will be the case of the US having the cleanest of the dirty shirts and given that the $ still enjoys reserve currency status, stag-depression looks unlikely in my mind.

Trends in Response to the Crisis:

While these trends may not all pan out, it is important to call them out. These are emergent patterns, that the right players with some wind on their back can hope to capitalize and create a unique differentiated model for themselves.

  • Globalization & Trade: We have seen a lot of anti globalization and protectionist trends manifesting themselves as either trade wars, or anti immigrant sentiments, hardening of immigration policy or pulling back from international commitments or global bodies. While it will be hard for companies to immediately move supply chains out of certain countries, given the need to preserve cash for contingencies, but longer term, everyone will be looking to de-risk their supply chains, if there is an outbreak in any one region of the world. Automation will certainly accelerate, especially in AI, Vision systems, self driving vehicles. Given the trends in automation and 3D printing, disruption is inevitable where any new product/need will create new workloads, new configurations of production that are much more automated and may be near shore instead of using the lowest cost supplier.
  • Technology & Innovation:
    • Manufacturing as we know will change with automation & 3D printing. Robots will be used for hazardous work/disinfection in rescue and disaster site, drones will be used for patrolling, thermal imaging, disinfecting, compliance to social distancing.
    • Where and how we work will also change, given that most of us have proven to ourselves and our employers that we can be as effective working remotely as we were in the office. While there was a lot of hesitation initially when remote work started, where employees were worried about being out of sight, out of mind. But given that we were all forced into it, without any stigma, we have each discovered that not having to commute gives us a lot more time during the day for other pursuits, and it is possible to be as effective as before. Companies having discovered this as well, will look to reduce their physical office footprint and thus fixed costs.
    • Video conferencing/ AR-VR will become mainstream especially with 5G rollout happening in most countries as this is being published.
    • Another trend that will significantly accelerate is Gig or Job work instead of full time employment for a certain role. Companies at this point will not want to commit to hiring full time, but instead seek to define job specs for what they need in the short term and put this out to bid.
    • There is an accelerated shift to digital currencies and online/virtual transactions given concerns about virus contamination on currencies. We have seen most retailers/suppliers/merchants completely move to digital payments at this time. It does not look to be a trend that will reverse.
    • Supply chain auditing and assurance will take a completely new page given the fear from infection of the supply chain with covid-19. We have seen Amazon investing all of their Q1 profits into securing and strengthening their supply chain as an evidence of this change.
    • Disruption from nimble operators with just good enough products and digital only footprints
    • Moving to a more permissive ethical mindset especially given the moves towards location tracking and contact tracing
    • Using AI in a big way for synthetic bio/drug discovery towards finding a cure/vaccine for covid-19, trends that will easily move to helping combat and prevent other diseases.
  • Downturn drives Efficiencies
    • Assets available for repurposing: Given the expectation that most commercial real estate will be looked at for continued investment, there will be a lot of assets that will be available for a different or novel use.
    • Top talent would be more accessible: Given the economic disruption, and certain companies going out of business a lot of top talent will be available to take on new and different challenges.
    • VC’s would be more discerning & stringent. They would only invest in compelling founders, startups and use cases.
    • Disruption means opportunity: We have the opportunity to reinvent both healthcare and retail – both absolutely massive parts of our economy. The stimulus that is being put together as a part of the covid response, if repurposed for infrastructure and making us carbon neutral would also be transformational.
  • Societal Impacts:
    • Pandemic behavior influenced generations: Given this experience, generations ahead would have influenced their behavior to maintain social distances, be cognizant of personal spaces and even the regular dynamics of collaboration with others. Just like 9/11 changed the millennials, covid-19 will change our future generations.
    • Personal & Group vendettas will be acted upon: The rhetoric against blue states, Asian Americans and USPS are some trends we see playing out. I do not expect these trends to change, given how polarized we have become.
    • Worker Benefits/ Retirement Security/ Basic Safetynets and Universal Healthcare can become rallying cries for transformation and betterment of people’s lives.
    • Focus on a clean and sustainable environment, given most people experienced how good a pollution free experience could be given the lockdown.
    • Population density in the developing world will need to be addressed, given it is the fuel for this pandemic
    • Migration and Immigration policies will have to be revisited, given the expectation of massive migrations that would be needed from effects of climate change.
    • Role of corporates: Capitalism will need to adapt, where profits may not be the only objective. While maximization is important, understanding that their image, societal impact and responsibilities and profit extraction would be critical to maintain the ability to continue operating long term. There will also be pressure for multinational corporations to align to nation states and to identify with their biggest markets where they have to operate.
  • Behavioral shifts:
    • Polarization, Information &Trust: Given the polarization that we see in society, where we consume our information from will be fractured. There will not be a common set of understanding and agreement or even how we assign trust.
    • What will work: Ultimately most factories will be automated. Even if they come back near shore, these are not bringing back huge employment opportunities. Field work may still need humans, till we have autonomous movement and operation with robots.

What is The New Normal?

  • Population Pressure & Food: Presumably 7.8 billion is a lot of people and that puts a lot of pressure on our food supply to feed and care for this population. Consequently there is an increased pressure on meat production (given the preference of most countries to transition to a meat diet as the standard of living goes up) and also on agriculture where large tracts of land has had to be cleared to produce food for such a large population. It appears that we are straining the finite resources of this planet and subsequently having a catastrophic effect on the rest of the species inhabiting this planet. Already humans have been responsible for the extinction of a record number of species. In the short term it does not appear that we are slowing down our population growth and it may only be an external shock as in climate disasters or a shock to the food supply that may arrest this trend.
  • Wild Habitat: Under pressure from human encroachment, most wild animals and retreating and species going extinct. Will we give some of these wild habitats back?
  • Over fishing & the pressure on marine animals: Will humanity understand and responsibly manage fishing to be sustainable?
  • Antibiotic Resistant Bacteria: Factory farms that produce meat and the ideal breeding grounds for bacteria, and given the indiscriminate use of antibiotics for keeping the meat production up, this leads to development of strains of bacteria that are antibiotic resistant. Will we find newer antibiotics or shift away from factory farming of animals for meat?
  • Climate Change: Animal and human migrations will result from climate change related catastrophes and disasters. The thawing Tundra is expected to release additional microbes that have not been seen before and could also rival this pandemic.
  • Globalization: Will a crisis push globalization to extinction i.e. the specialization of providers for goods and services recedes given our response has been protectionist and to close our borders?  
  • Travel, Leisure and Exploration: Will all travel become local? What will be the future of air travel / mass transit? Will telepresence for work translate to experiencing travel and leisure the same way? Seems unthinkable right now, but you never know ….

As always, welcome any feedback, contrarian points of view and a healthy discussion…

Future of On-boarding Systems at Banks and Financial Institutions

I spent a number of years building on boarding systems for a large investment bank. When I came into the role, the immediate need was to implement FATCA across a spectrum of on boarding systems, all on different tech stacks, multitude of features and functions but none able to support all of our products. This fragmentation came about because of budget pressures, needs from various product areas, separate IT teams and the lack of hygiene discipline to sunset old and end of life systems.

While we were successful in creating a state of art on boarding platform, and a scalable, flexible regulatory program framework that could handle the changing regulations from regulatory regimes across the globe, and also in bringing all of our client facing product groups to our platform; the question that kept nagging me was – is this adding to our sustainable competitive advantage?

The answer that I arrived at was – No. This is an example of an industry-wide trapped value. Every firm on the street on boards clients and creates accounts. While clients aren’t thrilled about the experience and the documentation needed, most comply, since they could not trade without this. But reasonably assuming every client has relationships to multiple brokers and/or banks – why should they be subject to multiple disjointed onboarding experiences, with every firm asking for KYC (and other regulatory programs) documentation? Therefore, there is value created from centralized execution and administration.

In my opinion, this screams of an industry wide shared service, where clients get FATCA/KYC/MiFID certified just once and use these certifications across multiple brokers or banks. This ideally is a digital asset – a compliance certificate for any regulatory program across any regime from a shared service provider that is available to query and is immutable. The individual players can then use this digital asset as an underlying precondition in their trading/transaction/lending/advisory businesses. It should then be very trivial to move the regulatory compliance costs to the shared service provider, and given the multiple clients using the service, would lead to an overall cost reduction in banking/trading/advisory sectors. The client would also be happy, given a single point for regulatory program check and compliance.

An implementation using smart contracts on an immutable blockchain that is available to all parties, reflects real time compliance stats and allows brokers and banks to rely on this to facilitate their business would be much more efficient and this seems to be the reasonable evolution for this function.

Welcome any feedback or contrarian views…

Climate Change: Destroying Our Planet!

This is an essay that I worked on for my 5th grade school assignment:

Think about the Earth in fifty years, or even one hundred, a fireball of a planet all because of climate change. It is our biggest challenge. Climate change will destroy our planet Earth, and we may be at the point of no return.

The primary cause of climate change is greenhouse gases that come from various sources like industry, vehicles, and agriculture. Animals like cows and sheep release large amounts of methane gas, which in turn negatively affects our climate.

Believe it or not, our planet is definitely changing, and it might not be for the better. In my opinion, climate change is ruining our planet. Let us consider the fact that our way of life is changing, and future generations will feel this ripple. That recycled water bottle a day is not really helping, and what we need is a radical plan. This should include reducing our current emissions, removing accumulated stock of CO2 from the past, and changing our way of life going forward.

    When it comes to climate change, it has a wide array of effects and consequences. The incidents of extreme weather have increased i.e. hurricanes, tornadoes, heat waves, extreme cold polar vortexes, and droughts. Firstly, with climate models from scientists, they’ve predicted that extreme weather will become more recurrent. In fact, NASA research shows that since 1950, the U.S. has received increasing numbers of high rainfall events. In particular, average U.S. precipitation has increased since 1900, and some areas have had bigger increases than our national average. In other words, hurricanes have had increased frequency, intensity and duration since the late 1980s. Additionally, extreme droughts and heat will also be more common, occurring every 2 to 3 years instead of the usual 20 years. Thus, climate change affects our weather patterns and makes extreme weather cases more common.     

One of the most prominent effects of climate change is sea level rise. Heed these following warnings: According to NASA, global sea level has risen 8 inches in the past century. This has also been proven by the NOAA (National Oceanic and Atmospheric Administration). Specifically, in 2014, the Global Sea Level was 2.6 inches above the average in 1993. This is dangerous because flooding has also become 300 to 900 percent more frequent in our coastal communities than 50 years ago. Yearly statistics are a different story; for instance, every year, the sea level rises ⅛ of an inch, and that can very well increase. Additionally, with the warming of our seas, sea level can rise even more. We can conclude that global sea level is on the rise and is becoming more and more frequent each year.

    Everybody wastes gas or fuel, maybe by leaving the heat on for more than an hour, and others are also wasting gas by leaving their car idle, etc. The point is, our world is getting warmer and it is melting our ice, anywhere from the North pole to the South, or maybe even to Greenland. For instance, both National Geographic and NOAA weather stations and reports have shown that in 2016, temperatures have gone up 1.69 degrees from the twentieth century, making 2016 one of the hottest years. In particular, NASA has also concluded that Greenland has lost 286 billion tons of ice per year from 1993 to 2016. Specifically, they also show that Antarctica has lost 127 billion tons of ice in the same time period. To put all of this into perspective, Earth’s average surface temperature has risen about 1.62 degrees since the late 19th century. When you take these numbers into account, they may seem very little, but they have long-lasting effects which wither our planet even more. Our Earth is getting blasted with heat by climate change, and several big organizations believe it. Basically, our global temperature is increasing and it has several effects on our current society and world.

   As we burn fuel and produce carbon dioxide, we all know our atmosphere is suffering. Lastly, our oceans are both acidifying and suffering, too. In the first place, according to PMEL, every year, the ocean absorbs a quarter of the CO2  we release into the atmosphere. Put simply, the more gas and fuel we are putting into the air, the more we are putting in our waters. Additionally, since the beginning of America’s Industrial Revolution till now, our oceans pH (acidity) levels have fallen by 0.1, which means a 30% increase in acidity. This proves that at the end of the century, ocean acidity levels will have increased by 150%. We depend on our fish and sea life for food, and ocean acidification affects both our food and sea life. In fact, ocean acidification has significantly reduced the ability for coral reefs to build their skeletons. For example, ocean acidification also brings the risk of compromising fertilization and the survival of other species. Also, there have been failures of developing oysters all around the West Coast, which is caused by ocean acidification. Our coral reefs, like the great coral reef in Australia, are disappearing because of ocean acidification.

We can all see that our planet is suffering and getting ravaged by mankind’s own hand, so we should work together to stop. Not just for our future, but for the future of Earth too. This is my generations’ call to action, and I believe we can stop this if we put our mind to it.

-Shaurya

Hidden Capital: The Solution to Our Economic Woes?

This was my submission to the NY Times essay contest last week…

The past 50 years have been marked by a dramatic increase in population and productivity in developing nations around the globe. Here’s the catch: increased productivity has not translated to sustained economic development and a decrease in poverty. Why? Countries with corruption and poor legal infrastructures have not been able to keep track of assets and transactions, leading to the development of what Peruvian economist Hernando de Soto calls the “extralegal economy”. Simply put, the extralegal economy is all the assets that exist outside the sphere of government regulation.

Why is the extralegal economy bad? Extralegal assets do not produce tax revenues and cannot be leveraged for official transactions, such as a loan or a mortgage. If you own a piece of land that isn’t registered with the government, you cannot use it to gain credit or conduct more legitimate business. This is one of the key inhibitors of economic growth. According to de Soto, “…the majority of entrepreneurs are stuck in poverty, where their assets-adding up to more than US$10 trillion worldwide-languish as dead capital in the shadows of the law.” That is $10 trillion that can supercharge the world economy given the right framework for asset registration. That same $10 trillion could also generate tax revenue for infrastructure, further accelerating economic growth.

Legalizing the extralegal economy is no easy task. Imagine trying to keep track of millions of new assets and transactions in a secure manner. It is seemingly impossible. But that is starting to change. Blockchain, the mystical buzzword talked about by many in Silicon Valley, is a possible solution to this problem. A blockchain is nothing but a distributed, immutable database. Once a transaction is recorded on a blockchain, it cannot be changed. These transactions are recorded for all participants in the blockchain using a shared ledger, so each participant knows the complete list of assets and transactions. This is perfect for securing asset registration on a large scale, as blockchain uses cryptographic functions to prevent tampering of the ledger. In fact, as outlined by Adrianne Jeffries in the NY Times, it is already being looked into by US government agencies as a way to store and protect records. Blockchain technologies are a possible remedy to the economic woes of the developing world.

Freeing vast amounts of dead capital will require significant institutional overhaul. This issue lies at an intersection of government, business, and technology challenges which will be difficult to navigate. However, I believe that blockchain, combined with efficient governance, provides the best way forward in truly unleashing the economic power of these countries.

And here is my team’s TSA project to create a blockchain based application for land registry.

-Sid

Why Is Building a Trust Bridge Critical at Technology Inflection Points?

A technology inflection point is where users move from an existing technology to a new technology. It takes a leap of faith for early adopters to make this transition and as the number of users adopting this new technology increases, there is a tipping point at which the new technology completely overwhelms the old one. A trust bridge is a mechanism that makes it easier for early users to adopt new technology. Understanding the underpinnings of a trust bridge will help you navigate an inflection point and drive adoption of the new technology.

Technology Inflection Points & S-Curves

The automobile moving from gasoline power to electric power is an example of one such transition (Case A on the framework mindmap). We take it for granted that we will not run out of fuel and be stranded with gasoline based cars, because of the numerous gas stations all over; the same is not true for electric cars which have a limited range and electric charging stations are not as common as gas stations. But the availability of accurate maps with locations for these electric charging stations, the accurate determination of how much charge is left in the car and the confidence that we can make it to the next charging station before the battery runs out, helps us make this transition (this is the trust bridge).

Ownership of cars is also undergoing a major transition (Case B). Earlier it was necessary for a person to own a car to use it regularly. Now with the availability of ride hailing services, it isn’t necessary to own a car. I have seen this with my own aging parents. My father has reached a stage of life where his ability to drive a car has deteriorated; So the transition to a ride share platform was great – available when he needed it without the fixed costs of maintaining a car and a driver. The trust bridge for him was the ability to see in real time the cars available near him and the confidence that he would have a car when he needed one; and for me it was to see in real time where he was on his ride, since he lives half a world away.

Another trust boundary on our horizon is the transition to self driving cars (Case C). Imagine how difficult it is for a majority of people to let go of control while driving, to a machine that will have your life and safety in its power while driving you from point A to B. The trust bridge in this case will be objective data on how much better automomous interconnected machines are at avoiding accidents than humans and the tipping point will be when it will be difficult for the die hard drivers who have refused to adopt autonomous cars to get automobile insurance. 

Think about our transition from records, to cassettes, to CDs and DVDs and finally to streaming content (Case D). The last transition was the most difficult because it has meant that we do not have physical possession of the copyright content that we bought – but rely on a belief (trust bridge) that we could stream it when ever we want from the cloud and we can trust an Apple iTunes Store or an Amazon store to remember that we have purchased it and can access it anytime. It also implies that we trust these cloud stores to be available when we need them.

Companies  moving from owned and managed data centers to shared cloud providers (Case E) is another example. The advantage of using shared cloud providers is that we have the ability to elastically expand and contract capacity, without a huge capital investment and only pay for what we use; Secondly cloud adoption has allowed for rapid evolution in container based application deployment where we have become completely oblivious of underlying server architectures, operating systems and technology stacks using containers like Docker and container orchestration options like Kubernetes; Thirdly with the rapid evolution in managing large amounts of data, a number of ML and AI frameworks are available as plug and play options. In the owned datacenter paradigm, bringing in such frameworks would have resulted in a whole new integration and onboarding project. The trust bridge in this case has been the rapid strides in cloud security infrastructure and capabilities for public, private and hybrid cloud offerings and the assurance of network, container, process and data isolation between clients.

In the Healthcare domain, introducing new products/therapies is also an example of an inflection point (Case F). The trust challenge is knowing the benefits and risks of a new treatment or therapy in the long term. Governments put in regulations to slow down the approval and adoption of any new therapy or drug until they make it through Stage I – IV trials. Once the new therapy has cleared these hurdles, adoption is a lot easier because people have faith in the regulatory process (trust bridge) to ensure that the new product is safe and effective before entering the market. 

Similar is the case for abstract machine learning models and autonomous systems (Case G on the map). Some of the esoteric ML models may not be well understood or tested for all permutations and combinations. This leap becomes even more difficult in my experience when we deal with self learning or autonomous machine learning systems. Rather than letting adoption be a leap of faith for your users, it is critical that we understand user psychology – their fears & beliefs and  build the trust bridge to facilitate adoption. I suggest the following process for evolving ML models (the model validation step will be the trust bridge here): 

Trust Bridge when developing ML Models

I have used the following framework to build my case for change. My experience has been whenever my team has focused on building a trust bridge in technology inflection cases or projects with significant change, the results have been very positive. I would love to have feedback on what folks have found useful when driving change.

PostScript:

Given the momentous changes we as a society are staring at in the near future like climate change, evolution of AI and genetic engineering like CRISPR, we need to make taking these trust leaps easier to keep up with the rapid changes in our environment, ideas, processes, products and services. And this is where a Change Management Practice that focusses on understanding user psychology – beliefs, desires and fears and being able to build the “Trust Bridge” will be critically important. 

How can you relate ML algorithms to your business?

When you start talking about Machine Learning algorithms, most people’s eyes glaze over – it’s higher order math, something cool and distant that they don’t want to be bothered with.

So how can you engage in a meaningful conversation about these algorithms and demonstrate how and why they add value to make the case for implementing them? 

We have had success in showing measurable and quantifiable results from predictions coming from these algorithms that are better than the current state process. Now, everything is not as easy to measure or demonstrate. Hence classifying your ML models into categories and having a measurement framework around each category helps. 

The following elements are critical in establishing such a measurement system: 

  • A continuously executable platform that can evaluate rule sets and persist results.
  • Rule set authoring, configuration, promotion and execution to be configurable and on demand.
  • Measurable results that are persisted and can be audited.
  • Continuous Improvement: A framework to establish a Champion-Challenger framework, where a production population is using the “champion” set of rules, while a pilot set is using the “challenger”. When we see the challenger doing statistically better than the champion, we have the ability to flip the two. 

I have found the following classification useful for the work that my team is doing. Now this isn’t a comprehensive framework of all ML models available, but just something that we have found useful: 

  • Clustering: The technique of dividing a set of input data into possibly overlapping subsets where the elements of each subset are considered related by some similarity measure. The measures we have used here is commonality by department, division, cost center etc. Typical implementations have used DBSCAN (density based spatial clustering of applications), K-spanning tree, Kernel k-means and shared nearest neighbor clustering algorithms. Typical use cases we have put to clustering are role classification, entitlement clustering etc. 
  • ARM (Associative Rule Mining): Is a technique to uncover how items are associated to one another. Typically calculate three measures – support (P(A) = occurrences(A)/total ), confidence (confidence(B/A)=P(B,A)/P(A)) and lift (lift(B/A) = support(B,A) / support(B)). We have used it to predict what rights should be offered up to a new employee who joins a group or department. 
  • Recommender Systems: We have seen success with collaborative filtering (with both item based and user based). UBCF assumes that a user will have a similar rating for an item as its neighbor, if they are similar; while IBCF focusses on what items from all options are more similar to what a user enjoys thus allowing us to directly recalculate the similarity between co-rated items and skip the k-neighborhood search. A key measure we have used in this space to evaluate algorithms is to measure how many times did a user act on a suggestion that was surfaced by a recommender system. We have used this to recommend other items that a user could request with their original request.  
  • Market Basket Analysis: Technique to uncover association between items by looking at combinations of items that occur together frequently in transactions, to predict the occurrence of an event happening given the occurrence of another.  
  • Neural Networks: Models which are trained to mimic the behavior of a system. The weights in the model are tuned using the training set till we start getting realistic predictions for new data that the model has not experienced. Some measures here are to keep a record of actual events vs. predicted to measure variance and use continuous feedback to improve predictions. We have plans to use this to learn from system events on the network to infer processes to run in response. 

Will keep you posted on the results. Happy to hear about alternate frameworks and paradigms that folks have used to gain acceptance. 

Evolution Of AI And The Trust Frameworks We Need to Support It

We have seen evolution of AI systems from the simple to the more complex: Going from simple correlations and causations, to model creation, training and advanced prediction to finally unsupervised learning & autonomous systems.

Trust Models Required At Each Stage Of Evolution

Human society has been seen to be comfortable with assigning accountability to one of its own i.e. a human actor who creates, authors or mentors these models and can assume accountability & responsibility. If you trace the evolution of our justice systems from the time of Hammurabi (sixth king of the First Babylonian Dynasty, reigning from 1792 BC to 1750 BC), to the modern ones in nation states today, we seem to accept good behavior within a well defined system of laws and rules, and digression from these attract punishment which is meant to drive compliance. 

Unknown author Mbzt, P1050763 Louvre code Hammurabi face rwk, CC BY 3.0

But will this always be true? Do we need new trust models and enforcement mechanisms?

Some Questions To Answer Before Advent Of Completely Autonomous Systems:

How do you program ethics?

Morals are the objective transcendent ideals we base our ethics upon. Jonathon Haidt in his exploration of the conservative and liberal morality describes 5 key traits – harm, fairness, authority, in-group and purity. Per his TED talk, liberals value the first two and score low on the other three, while conservatives value the latter 3 more than liberals.

Ethics are the subjective rules by which we govern our behavior and relate to each other in an acceptable manner. So which of these moral principles and in what measure should our ethical rules be based upon? And who chooses?

These ethics rules determine the system’s behavior in any situation and thus form the basis for the trust system we will operate upon with the autonomous system. (See the definitions of trust in my earlier post here)

Would the creator of a model be held responsible for all its future actions?

Think about an infant that is born. He/she usually has a base set of moral frameworks hard wired into the brain and it is life experiences that shape how that model further develops, what behaviors are acceptable in society, which ones are not, what’s considered good vs. evil etc. The only thing that a creator can be held responsible for is the base template that he inputs into creating the autonomous AI system. Anything that is learnt post birth would be a part of the nurture argument that would be very difficult to assign accountability for. 

Can you set up a reward and punishment system for AI models?

If we consider an AI system to be similar, how do you provide a moral compass to it? Would you expose it to religion (and which one?) to teach it the basics of right or wrong or set up reward and punishment systems to train it to distinguish desirable vs. undesirable behavior. And again who determines what is desired and what is not – is it us humans or do we leave this up to the autonomous AI system.

Who decides on when and how we go to Autonomous AI?

When would we as a society be ready to take the leap? There are a number of thought leaders who have warned us about this including Stephen Hawking and Elon Musk. Are we ready to heed those warnings and muzzle our explorations into truly autonomous systems or is this an arms race that even if we bore restraint, someone somewhere may not act with the same constraints that we did…and finally was the purpose for us as a species was to develop something more intelligent than us that is able to outpace, out compete and eventually sunset our civilization?

I guess only time will tell, but meanwhile it is important to at least model ethical rules as we know it (similar to Isaac Assimov’s three Laws of Robotics – A robot may not injure a human being or, through inaction, allow a human being to come to harm. A robot must obey orders given it by human beings except where such orders would conflict with the First Law. A robot must protect its own existence as long as such protection does not conflict with the First or Second Law) into systems and autonomous programs that we create but realize that our biases, desires and ambitions will always be a part of our creation…

A Possible Way Forward…

We need a framework to establish certain base criteria for evolution of AI – something that will be the basis of all decision making capabilities. This core ROM which cannot be modified should form the basis of trust between humans and autonomous AI systems.

This basic contract is enforced as a price of entry to the human world and becomes a fundamental tenet for trust between us humans and autonomous systems allowed to operate in our realm.  

As long as humans trust the basis of decision making upon these core principles (like Assimov’s three laws of robotics described above) we will operate from a position of mutual trust where we should be able to achieve a mutually beneficial equilibrium that maximizes benefits all around.

Given the CRISPR announcement today about two babies being born with their genes edited using CRISPR Cas9, its all the more urgent for us to establish this common framework before the genie is out of the bottle…