YouTube as an Archival Source

There are several models for using YouTube. One of them is to use it as a substitute for television and media outlets. This is where the number of views, subscriptions, and reach becomes important.

Another model is to harness YouTube as an archival source that is open to the public. This is one of the crucial elements of a platform that is easily accessible and, importantly, searchable. Such a platform becomes a repository for many informal academic discussions and interactions.

The archive model is an important category, especially if there is no need to generate revenue from the content deposited on the platform. A crucial aspect is that it can be accessed across the world and, in that sense, represents truly open-access content without paywalls, publication charges or subscriptions. Therefore, I am glad to see that many Indian academic programs, including NPTEL, ICTS, Science Activity Center/Media Center at IISER-Pune and many others are utilizing platforms such as YouTube to post their lectures and talks. Also, many individual academics in India are gradually using YouTube to discuss their work, in the context of research, teaching and entrepreneurship.

This development is slowly turning out to be an invaluable resource that can reach a large audience. Although YouTube is one of the most well-known platforms, many other platforms in the context of social media can also be tapped to spread knowledge. Given their reach and simplicity of use, both for creators and users, these tools become important in a vast country such as India.

As audio-visual public platforms join hands with artificial intelligence tools, they can positively (hopefully) affect how people, especially students, consume educational content. Going forward, I anticipate language translation through direct dubbing to be a game-changer. It could attract many new viewers who have been hesitant to watch technical content simply because it was in a foreign language. Of course, on these platforms, the noise is equally high compared to the signal, and therefore, curating good, targeted resources will be vital. Also, these platforms cannot be treated as a substitute for formal education, but as an extension or complementary source for research and education.

Interesting times ahead.

15 years at IISER Pune – Journey so far

Today, I complete 15 years as a faculty member at IISER-Pune. I have attempted to put together a list of some lessons (based on my previous writings) that I have learnt so far. A disclaimer to note is that this list is by no means a comprehensive one, but a text of self-reflection from my viewpoint on Indian academia. Of course, I write this in my personal capacity. So here it is..

  1. People First, Infrastructure Next
    As an experimental physicist, people and infrastructure in the workplace are of paramount importance. When I am forced to prioritize between them, I have chosen people over infrastructure. I am extremely fortunate to have worked with, and continue to work with, excellent students, faculty colleagues, and administrative staff members. A good workplace is mainly defined by the people who occupy it. I do not neglect the role of infrastructure in academia, especially in a country like India, but people have a greater impact on academic life.
  2. Create Internal Standards
    In academia, there will always be evaluations and judgments on research, teaching, and beyond. Every academic ecosystem has its own standards, but they are generalized and not tailored to individuals. It was important for me to define what good work meant for myself. As long as internal standards are high and consistently met, external evaluation becomes secondary. This mindset frees the mind and allows for growth, without unnecessary comparisons.
  3. Compare with Yourself, Not Others
    The biggest stress in academic life often arises from comparison with peers. I’ve found peace and motivation in comparing my past with my present. Set internal benchmarks. Be skeptical of external metrics. Strive for a positive difference over time.
  4. Constancy and Moderation
    Intellectual work thrives not on intensity alone, but on constancy. Most research outcomes evolve over months and years. Constant effort with moderation keeps motivation high and the work enjoyable. Binge-working is tempting, but rarely effective for sustained intellectual output.
  5. Long-Term Work
    We often overestimate what we can do in a day or a week, and underestimate what we can do in a year. Sustained thought and work over time can build intellectual and technical monuments. Constancy is underrated.
  6. Self-Mentoring
    Much of the academic advice available is tailored for Western systems. Some of it is transferable to Indian contexts, but much of it is not. In such situations, I find it useful to mentor myself by learning from the lives and work of people who have done extraordinary science in India. I have been deeply inspired by many people, including M. Visvesvaraya, Ashoke Sen, R. Srinivasan, and Gagandeep Kang.
  7. Write Regularly—Writing Is Thinking
    Writing is a tool to think. Not just formal academic writing, but any articulation of thought, journals, blogs, drafts, clarifies and sharpens the mind. Many of my ideas have taken shape only after I started writing about them. Writing is part of the research process, not just a means of communicating its outcomes.
  8. Publication is an outcome, not a goal Publication is just one outcome of doing research. The act of doing the work itself is very important. It’s where the real intellectual engagement happens. Focus on the process, not just the destination.
  9. Importance of History and Philosophy of Physics
    Ever since my undergraduate days, I have been interested in the history and philosophy of science, especially physics. Although I never took a formal course, over time I have developed a deep appreciation for how historical and philosophical perspectives shape scientific understanding. They have helped me answer the fundamental question, “Why do I do what I do?” Reflecting on the evolution of ideas in physics—how they emerged, changed, and endured—has profoundly influenced both my teaching and research.
  10. Value of Curiosity-Driven Side Projects
    Some of the most fulfilling work I’ve done has emerged from side projects, not directly tied to funding deadlines or publication pressure, but driven by sheer curiosity. These projects, often small and exploratory, have helped me learn new tools, ask new questions, and sometimes even open up new directions in research. Curiosity, when protected from utilitarian pressures, can be deeply transformative.
  11. Professor as a Post-doc
    A strategy I found useful is to treat myself as a post-doc in my own lab. In India, retaining long-term post-docs is difficult. Hence, many hands-on skills and subtle knowledge are hard to transfer. During the lockdown, I was the only person in the lab for six months, doing experiments, rebuilding setups, and regaining technical depth. That experience was invaluable.
  12. Teaching as a Social Responsibility
    Scientific social responsibility is a buzzword, but for me, it finds its most meaningful expression in teaching. The impact of good teaching is often immeasurable and long-term. Watching students grow is among the most rewarding experiences in academia. Local, visible change matters.
  13. Teaching Informally Matters
    Teaching need not always be formal. Informal teaching, through conversations, mentoring, and public outreach, can be more effective and memorable. It is free of rigid expectations and evaluations. If possible, teach. And teach with joy. As Feynman showed us, it is a great way to learn.
  14. Foster Open Criticism
    In my group, anyone is free to critique my ideas, with reason. This open culture has been liberating and has helped me learn. It builds mutual respect and a more democratic intellectual space.
  15. Share Your Knowledge
    If possible, teach. Sharing knowledge is a fundamental part of academic life and enriches both the teacher and the learner. The joy of passing on what you know is priceless.
  16. Social Media: Effective If Used Properly
    Social media, if used responsibly, is a powerful tool, especially in India. It can bridge linguistic and geographical divides, connect scientists across the world, and communicate science to diverse audiences. For Indian scientists, it is a vital instrument of outreach and dialogue. My motivation to start the podcast was in this dialogue and self-reflection.
  17. Emphasis on Mental and Physical Health
    In my group, our foundational principle is clear: good health first, good work next. Mental and physical well-being are not optional; they are necessary conditions for a sustainable, meaningful academic life. There is no glory in research achieved at the cost of one’s health.
  18. Science, Sports, and Arts: A Trinity
    I enjoy outdoor sports like running, swimming, and cricket. Equally, I love music, poetry, and art from all cultures. This trinity of pursuits—science, sports, and the arts—makes us better human beings and enriches our intellectual and emotional lives. They complement and nourish each other.
  19. Build Compassion into Science
    None of this matters if the journey doesn’t make you a better human being. Be kind to students, collaborators, peers, and especially yourself. Scientific research, when done well, elevates both the individual and the collective. It has motivated me to humanize science.
  20. Academia Can Feed the Stomach, Brain, and Heart
    Academia, in its best form, can feed your stomach, brain and heart. Nurturing and enabling all three is the overarching goal of academics. And perhaps the goal of humanity.

My academic journey so far has given me plenty of reasons to love physics, India and humanity. Hopefully, it has made me a better human being.

Nobel is secondary

Many of the Nobel winners in science deserve the prize they get, but there are many deserving who do not make the list for various reasons, including sociology, geography & financial support. Using the Nobel prize as a benchmark of progress may lead to errors in the judgment of a country.

A better way to judge is to ask: how are science and technology in a country making lives better for the people of the country & the world? A better life includes both intellectual & material aspects. We, in India & the global south, can make progress if scientific thinking becomes prevalent in the everyday discourse of society, from family conversations to political debates. And prizes, by design, are exclusive. It is easier to exclude a country that is not scientific as no one cares in such a situation.

Scientific progress in a society is generally bottom-up. We have a large population of young people who should be more scientific in their worldview. If we have a large, scientifically oriented population, science and technological achievements become proportional.

If science-based intellectual & material progress is achieved, prizes will follow. But a Nobel should not be our primary goal. Better lives & better minds should be.

Everything flows from there.

FOLLOW THE MONEY – A useful model

Our world is a place with complex ideas superimposed on people with ever-changing attention. Complex ideas are complex because they depend on multiple parameters. If something changes in the world, then that change can occur due to multiple reasons.

Unlike a carefully designed physics experiment, there are too many ‘hidden variables’ in human life and behavior, especially when they act collectively. In such a situation, it is pertinent to search for models to understand the complex world. Models, by definition, capture the essence of a problem and do not represent the complete system. They are like maps, zoomed out, but very useful if you know their limitations. I keep searching for mental models that will help me understand the complex world in which I live, interact, and comprehend.

Among many models, one of them that I use extensively is the follow-the-money model. This model explains some complex processes in a world where one does not have complete information about a problem. 

Take, for example, the incentives to choose a research project. This is a task that as scientists, we need to do very often. In the process of choosing a project to work on, researchers have to factor in the possibility of that research being funded prior to the start of the project. This is critical for scientific research that is dependent on infrastructure, such as experimental sciences, including physics, chemistry, and biology. Inherently, as researchers, we tend to pick a topic that is at the interface of personal interest, competence, relevance, and financial viability.

The viability is an important element because sustained funding plays a critical role in our ability to address all the contours of a research project. Thus, as scientists, we need to follow the money and ask ourselves how our research can be adapted to the financial incentives that a society creates. A case in point is research areas such as AI, where many people are aware of its potential and, hence, support from society and an opportunity to utilize the available incentive.

It is important for the public to be aware of this aspect of research where the financial incentive to execute a project plays a role in the choice of the project itself. The downstream of this incentive is the opportunity to employ more people. This means large funding projects and programs attract more researchers. More people in the research area generate more data, and more data, hopefully, will result in more knowledge in the chosen research area. This shows how financial incentives play a critical role in propelling a research area. In that sense, the ‘follow the money’ model has a direct correlation with more researchers flocking towards a research area.

The downside of this way of functioning is that it skews people towards certain areas of research at the cost of another research area which may not find financial support from the society. This is a topic that is generally not discussed in science classes, especially at the undergraduate and research level but I think we should discuss with students about this asymmetry as their futures are dependent on financial support that they can garner.

Broadening the scope further, the ‘follow the money’ model is useful to understand why a certain global trend rises or falls. A contemporary global upheaval is the situation of war in Ukraine and Gaza. At first sight, it looks like these wars are based on ideologies, but a closer look reveals that these wars cannot be fought without financial support. Such underpinning of the money running the war reveals patterns in geopolitics that are otherwise not easy to grasp.

Ideologies have the power to act as vehicles of human change, but these vehicles cannot be propelled without the metaphorical fuel – that is, money. The ‘follow-the-money’ model can show some implicit motivation and showcase how ideologies can be used as trojan horses to gain financial superiority either through captured resources or through showcasing the ability to capture that resource. Following money is also a very powerful and useful model for understanding many cultural, sociological and political evolution, even in a complex country like India and other South Asian countries. I leave it as an intellectual assignment for people who want to explore it 😊. You will be surprised how effective it can be in explaining many complex issues, provided we know the limitations of the model. 

As I mentioned earlier, a model is like a map. It is limited by resolution, the dimension and the viewpoint. But they are useful for navigating a complex world.

Beginning of scattering

Why a new blog, now ?

Well, I have been pondering for sometime to write about my research on light scattering. One of the main motivations of why I became a student of science was to understand  scattering of light. Be it the blue of the sky, the flying comets in space or a glowing molecule in a biological cell, light scattering has something to say on everything in this universe. This ubiquity of a physical process is worth exploring, and has lead me to take this intellectual journey.  In an essence, I was, and continue to be fascinated by the beautiful concept of how light scatters off matter of various scales, be it the size of galaxy or be it a tiny little atom.   Over the past 15 years or so, light scattering has been integral to everything I have been working on, and I think it is high time that I share the beauty of this subject through the posts in this blog. I intend to do this by exploring various aspects of light scattering – from fundamental theory to mind boggling applications.

History has a role – The field of light scattering itself has a very rich history, dating back to observations of Leonardo Da Vinci, spectacular opti’k’s  by Newton, marvelous explanations  by Rayleigh, creative experiments by Raman, connections by Tyndall, conditions by Kerker and so on….in fact the list is endless, and the story is compelling, which has to be said. As we take this journey, we will visit the masters, pick their brains, ask questions, and pester them for answers. This process, I promise, will be rewarding, and will hopefully keep you interested…

Lab stories – Another reason for starting this blog is to emphasize the experimental techniques in area of light-scattering research. Most of the times, the hard-fought battles of experimental laboratory researchers in unveiling the truth and beauties of nature goes unrecognized and under-represented, especially among general audience of science. Although, Einsteins and Maxwells of the world, deservingly get a lot of attention and applause for their theories, people like Bloembergen and Askins don’t get their share for the spectacular experiments they have performed. This blog, in way, is to compensate for such discrepancies.

Unity in diversity – An ulterior motive behind this venture is also to explore new aspects of light scattering in physics, which is evolving and taking new shape as I write. In this discussion about new physical concepts of light and matter, I wish to highlight its relevance and connection to various branches of science and technology. We will evidence how sub-branches of sciences progressed due to ideas and applications from light scattering. In this context, let me give you two examples: soft-matter physics and radiative transfer in astrophysics. A tremendous amount of information about nature of soft-matter and interstellar matter has been derived from light-scattering theories and experiments. As you may notice, the scales of these problems are tremendously different, but the underlying physics is essentially the same. In this blog I intend to showcase this unity of concepts in a diversity of problems in science and technology, how light scattering takes a center stage in this play.

Ultimately, what excites me to share this story is that I get to be a student all over again. This is a happy place to be for a professor: it keeps you grounded and engaged. After all, in the process of every learning and expression their is a concomitant enlightenment and scattering of thought. This is my intellectual kick to scatter forward…..