Showing posts with label Research. Show all posts
Showing posts with label Research. Show all posts
Jun 10, 2016
Feb 21, 2015
Scaling of opportunities, a bigger challenge than scaling up urban infrastructure!
Tackling immediate soft urban challenges
through resource prioritization!
Infrastructure
expansion is where the money and interest is and is a never ending process as
well, so it will keep scaling up in background anyway and will be taken care of
diligently, with or without much intervention. Public sector has more of a
catalytic and mentoring role to play in that direction. Skill is what we need
to focus on today.
Like
they say “Give a man a fish and he will eat for a day, teach him how to catch a
fish and he will eat for his lifetime”. Scaled
opportunity is what an urban dweller needs irrespective of which Socio-economic
strata they belong. More opportunity to masses means more involvement in the urban
dynamics, and hence being more engaged in the process of building the very city
which provided the new scale and dimensions of opportunities. Scaling of
opportunity are less resource intensive and has higher ROR than scaling or
urban infrastructure and might be more sustainable an approach!
Further
scientific modelling and analysis will be required to validate and assert the
idea.
or follow on Twitter @urbanoregional
Aug 30, 2012
Sometimes you appreciate unintentional grunge architectural experience!
Even architects refrain to talk about the darker intuitive side of architectural experience.
Looking through a dirt clad window glass pan on a rainy day at your half a century old sparingly used ancestral house, mysteriously thrilling fog and street light setting as viewed from the window of a motel room in no man’s land where you stayed last weekend on your way back home from a road trip, flickering interplay of light and shadows projected on the walls and roof of your bedroom by the light of traffic passing by on the adjacent street, bizarre abstract patterns on the under maintained damp bathroom or subway walls, grunge white noise of much awaited rain pouring on the garage tin shed, looking at the engulfing silence of valley from the balcony of a remote hill resort experiencing the shear lack of artificial urban sound of which you are used to or an experience of strange inquisitive damp smell while you are getting down the basement stairs in a dimly lit surrounding, you at times experience unspoken, unperceived, un-designed and unintentional side of architecture further accentuated by the time of year and day, your mood and company or absence of other people at that particular time.
At times you feel so tiered of popular architecture, popular formula of architecture, formula of what should be and what not and all the glorification and stubbornness around what is popular, those are kind of beautiful, but they are every were, architectural orders, theories so much overvalued so abundantly repeated, interiors so much commercialized so much in order, so much restricted, so much formalized, you are left with no choice but to live in an environment which appeal to neighbors, your housing society and society at large, even You don’t know what you really want to experience. Spoon-fed architectural experience of what is good and what is bad being taught to architects as well as future prospective clients in the school. They are taught to create wonderful architecture but no one encourages them to create wonderful personalized architectural experience no matter even if its eccentric on conventional benchmark, experience of space which you can’t really create with the popular architectural tools, styles, mass education, thumb-rules available and being used widespread today. For example if you have already decided that a particular room, should have a particular lux level of lighting, particular illumination level, uniformly distributed across the room with slight variation here and there as prescribed in the architectural bible or bylaws or general practice or as limited by the market availability and client’s choice of fixture, you can’t create an architectural experience which is thrilling, mysterious, inquisitive and even hauntingly sticky at times even for a moment, which are human psychological needs and part of their personality to experience such environment, at least just for sake of fun. No wonder at times you cherish that moment of darkness in the rainy damp evening or moonlit night when suddenly there is power cut for a brief period, because you have just experienced the dimly lit darker side of architecture which was never intended for you to experience in its original form, but only you know that how much it means to you to experience that very silence of spatial darkness, that mysterious view of dusk from the dark corner of your room, that stillness of ambiance and lack of bright LED light, that passionate experience in the beautiful and diluting sphere of space and light created by that single candle lit on the dining table, that momentarily grey sheds of otherwise bright and warm colors of interior walls. We are talking about darker side of architectural experience which induces a momentarily feeling of introspection to the occupant through its very silence, stillness darkness and grunginess, many writers, directors, photographers, architects, and artists will be able to relate to such experience. Grunge architectural experience which in thought provoking and inspires you at times and which is innate human psychological need somewhere buried in the subconscious under the monumental load of popular architectural experience!
By: Anoop Jha
Jul 12, 2012
Why such vast gap exists in statistical interpretation of a single fact?
Statistics considers raw data while people tend to value associated sentiments.
If you are going for a primary survey with a standard template of closed ended questionnaires or some kind of table to be filled with numbers you might not be doing real justice to the survey. You might have a reasonable amount of data at end of the day to conclude your assignment or research, but you won’t be able to do the realistic assessment of the situation. You might fulfill the acceptable standards of data gathering; you might even publish the result and can even bag an award or two, but if the very people who got surveyed are not being able to relate to the statistical conclusion, or if they do not validate it, all the efforts of data collection and analysis goes to vain.
You will be surprised to realize that still at many instances the situation shown of paper and the actual situation experienced by the population is drastically different, though data for situation analysis was gathered from the same population or community. Then why this vast gap of interpreted and locally experienced situation exists? Why this constant apparent difference of opinion between government’s point of view and what media and NGO’s showcase about the city, region or community etc. There are few possible reasons, first is that statistics is very flexible domain, though outcome seems very impactful there is enough scope to mould or influence the direction of outcome, still staying within legally of intellectually acceptable limit. The kind of data you select to gather, variety of assumptions you take into consideration, mode and tool of statistical analysis you choose to go with, time span considered for analysis, selection and heterogeneity of sample itself, there are so many such variables that one can interpret and influence the outcome in any possible direction depending on the purpose or intention. Larger the data set, greater the flexibility of interpretation.
Government being a powerful entity with ample manpower and resources has generally upper hand when it comes to data collection and interpretation and usually less probability of misrepresentation, but again it depends on what they want to prove or convey. Media and NGO who generally lack enough data due to manpower constraint to prove a fact applicable to a larger domain generally tend to rely on emotional values attached to the subject or region and sentiments of population or communities to prove their point. They generally choose small set of data though having high perceived or emotional value and exploit the associated sentiments. On one hand there is ample scope of playing with data and on the other hand equally or more or less scope to play with people’s emotions and sentiments but ultimately both leads to distortion of fact. And this show of constant blame and justification goes on and on. Actual fact seems to lose the significance while this argument is on, later no one really bothers to reach to the actual fact.
Unless statistics as a knowledge stream would device a method and make it a mandate to consider or quantify and incorporate the emotional and sentimental values attached to the subject of research and aspirations of communities to the extent possible along with some kind of post analytic appraisal and indigenous validation method, data representation would remain deceptive and at the mercy of decision making individuals or groups. Meanwhile we as a layman can mitigate this doubt of data misrepresentation by keeping a questioning, skeptical or neutral attitude towards impactful data being presented day to day from both government end as well as media and social welfare representative’s end, without being panicked, without arriving at immediate conclusion, cross verifying the fact from different sources, applying our own head and intuition, knowing and reminding them that their job is to inform us not to instigate or incite us. You are capable enough to judge yourself; all you need is a fair amount of fair data and statistics or simply a fair representation.
By : Anoop Jha
Jun 21, 2012
It's been done this way since ages doesn’t make it the right way today!!
Rethinking academic research methodology.
So, you are up to research, thesis, dissertation or something, great!! Let’s consider few things before we move ahead, considering few establish academic research norms, said or unsaid, which you might like to question, which you might like to challenge, but you won't, may be you can’t, because someone else is running the show.
Let’s understand the anatomy and objective of research and what should be the scope of any academic research for purposes, like thesis, PhD and so on and let’s see if there is any loophole in the well established century old research methodology and why it’s high time that research methodology has to reinvent itself.
What usually happens is that you choose a topic of your expertise and interest, narrow or wide and a mentor or guide as well either to guide you throughout or just because its mandatory to have one as per university norms, whether its architecture, planning or sociology or something else, it’s all the same. Then you start collecting supporting evidence and snippets of information first to validate the selection of research subject and then to back your conclusion.
If you delve deeper you will realise that any chosen research subject or topic no matter how wide or narrow it is, has a very wide possible scope for exploration which we unjustifiably narrow down due to many reasons. You can have all the freedom to narrow down the subject or research topic itself which you choose but how can you narrow down and limit the research domain yourself and how can you decide in the beginning of research that which external influences to choose which might affects the subject, just because scope of research seems unfathomable to you for that particular subject or topic, just because someone told you to do so, just because your curriculum allows you the freedom to do so. If you are limiting your research to the review of few books on the subject, selected by your guide who can have his or her own biased inclination towards those particular books or those authors, if you limit your research only to some good books which are remaining in your library after best books of the lot which has already been lifted by the academicians and professors long ago, if you limit yourself to handful of primary sample survey which has its own grave issues and which is bound to give inaccurate picture, and if you limit yourself for any other similar innumerable reasons, you are doing a big injustice to the research subject.
The issue with age old academic research methodology in context of today is that there always has been a strong stress on authenticity and completeness of content, fixed research structure, rigidity of data structuring, stress on literature and book reviews and first hand data gathering, there always has been submission to the authority of few established individuals in the field and imposition of idiosyncrasy and idealism of mentor or guide, ignoring the massive and continuous stream of relevant information which is available today and which is already growing and going to grow exponentially in the future. In the inertia of age old established research methodologies we are knowingly or unknowingly ignoring the possibilities that today’s technology provides us in conducting our research. Ignoring the technology of data mining and data exploration which they are already using ruthlessly in business and corporate domain is almost absolutely missing in academic research.
Two fundamental truth which majority of academicians today would be highly hesitant to be confronted with, is first that "Billions of half-baked data is much more reliable and contextual than handful of authentic publications when it comes to research and establishing a fact, excluding field of science and mathematics" and second that "Skewed focus towards book reviews and published literature for research purposes tend to glamorizes second hand work and dampen free and creative thinking spirit". There is nothing new and creative in quoting some author on some instance or subject, nothing new in putting someone else's inferences and analogies in your own words in your academic research report. When there is too much focus on structure and format (Thesis, synthesis, analogy, reference, bibliography and all) content starts losing its significance. This prominent conventional research methodology only leads to half baked conclusion at the end of your research span, because of just few numbers of cases studied and fewer perspectives of authors analysed.
Main constraint here is time and it’s up to you how you manage to get optimum exposure in that short span of time to arrive at valid inferences. More intense the exposure more authentic would be the conclusion or outcome. You are given a limited time to conduct and conclude your academic research whether thesis, dissertation or PhD. You cannot stretch it infinitely. now you zoom in and pick up few published literature on the subject for your research reading pages, first to last, how many of these books with "authentic" information you would be able to read in that assigned research span of few months or years, five, ten, twenty or fifty? That’s it? Come end of the research span and you are aware of point of view of five or fifty different authors, thinking you have known enough, thinking it’s time to conclude. No matter how very authentic information you have at the end to conclude your research, these are just point of views of handful of published authors out of millions equally talented or more or less out there in the world working, thinking, deliberating on the same subject, who never got the time, inclination, money or right publisher to get their work and thoughts published but who are constantly writing on forums, blogs, constantly tweeting and sharing and so on, may be you also missed out the brilliant thoughts on the subject because it didn’t reach your library shelf, because your guide didn’t recommended it to you, may be you didn’t have enough money to buy that book or eBook or may be because it couldn’t get the attention of the masses due to competition with shear number of literature on the same subject.
It’s high time that students and researchers need to be encouraged to look for unconventional, previously unexplored and untapped streams of data for mainstream academic research by their colleges, universities and most importantly from their mentors and guides in their dissertation and PhD, sources like massive free and dynamic data from online environment of blogs, discussion forums, audio-visual data from established or amateur masses, tiny bits of information which individually doesn’t make any sense but which collectively presents fairly recognisable, logical and surprising patterns, and it’s high time that such research methodologies should get mainstream recognition. It’s time that they should shift their fixated attention from literature reviews to data source explorations and analysis, broadening the domain of literature itself.
You see, it would be much more exciting, authentic and wholesome an experience to explore from the dynamic, widespread and crude "sea of knowledge" rather than exploring from few well-maintained but stagnate "resource lakes".
BY- Anoop Jha
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