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Stranger Interaction: Christopher Street

Whenever I see someone in military attire—uniform or fatigues—I have a common desire to acknowledge that person, to express my appreciation for their service. Sometimes I do, but often it feels awkward or fails to connect in the way I’d hope. I think this owes a lot to the fact that their life experience is, in ways, distant from my own. Both my sister and brother-in-law were in the Army but it’s still a kind of foreign culture to me.

On a recent Sunday morning, a serviceman stood on the platform with me at 14th Street. I decided that, rather than attempt to approach him on the basis of our different roles in society, I would simply remain open to any kind of catalyst for conversation or exchange. So I boarded the same train car with him and it happened that we both got off at the next stop, Christopher Street–Sheridan Square.

The heavy, wide backpack he was wearing was not conducive to passage through the turnstile and he started towards the emergency gate. His first press on the bar yielded no results and he tried a few more times in vain to open the door. Giving up, he began to remove his backpack and bear it sideways through the turnstile. This was my opportunity to interact. Having already gone through, I reached back, offering to bring the pack through for him. He declined good-naturedly.

“It’s the same with mothers and their strollers,” I tell him.

“I don’t know what they do!” he responds. The mood is light.

“Enjoy the day,” I say.

“You too, buddy.”

Notation From the 7 Line

+40° 45′ 34.40″, -73° 49′ 48.63″

+40° 45′ 25.34″, -73° 50′ 19.09″

+40° 44′ 56.96″, -73° 52′ 09.84″

+40° 44′ 47.33″, -73° 53′ 42.00″

+40° 44′ 36.42″, -73° 54′ 53.42″

+40° 44′ 50.36″, -73° 56′ 08.47″

+40° 44′ 38.64″, -73° 57′ 31.87″

The lines above correspond to geographic coordinates along the 7 train’s path through Queens. Numbers on the left indicate latitude: a positive value lays north of the equator, a negative value, south. Numbers on the right indicate longitude: a positive value lays east of the Prime Meridian, a negative value, west. The first set, then, is read 40 degrees, 45 minutes, 34.4 seconds north; 73 degrees, 49 minutes, 48.63 seconds west. This is the location of the terminal station at Main Street, Flushing. Each subsequent coordinate is placed where one neighborhood becomes the next.

In part, these coordinates represent the musical notation of my public sound project, 7 Transitions. They form the structure of the arrangement and will trigger elements sequentially along the route. Accordingly, the piece will sound different in Jackson Heights than in Long Island City. The nature of this sonic experience will be determined by samples taken from within the train car and processed in Pd.

New York & Detroit Weather

It’s mostly cloudy in Detroit, overcast in New York.

This is a simple program that reads XML data from the National Weather Service to construct a statement comparing weather conditions in New York and Detroit. While the results of this exercise are plain, there is much potential in exploring this kind of functionality to compose poems with live data or even pass it along to other programs.

Here is the Python code, which makes use of the excellent Beautiful Soup library for parsing HTML and XML.

from BeautifulSoup import BeautifulStoneSoup
import urllib

dtw_url = "http://www.weather.gov/xml/current_obs/KDTW.xml"
jfk_url = "http://www.weather.gov/xml/current_obs/KJFK.xml"

dtw_data = urllib.urlopen(dtw_url).read()
jfk_data = urllib.urlopen(jfk_url).read()
dtw_soup = BeautifulStoneSoup(dtw_data)
jfk_soup = BeautifulStoneSoup(jfk_data)

dtw_current_tag = dtw_soup.find('current_observation')
jfk_current_tag = jfk_soup.find('current_observation')
dtw_weather_tag = dtw_current_tag.find('weather')
jfk_weather_tag = jfk_current_tag.find('weather')
dtw_condition = dtw_weather_tag.string
jfk_condition = jfk_weather_tag.string

print "It's " + dtw_condition.lower() + " in Detroit, " + jfk_condition.lower() + " in New York."

Maps Drawn by Strangers

To better understand helping behavior in the city, we went out in pairs to ask people for directions. One person would observe from a distance while the other approached people with their request. If that person gave directions, you asked him or her to draw you a map. If they drew a map, you asked if they would either go with you or give you their phone number in case you got lost. The field research was both insightful and amusing. Here are eight maps drawn for me by strangers to various destinations around the East Village.

1. To Astor Place

2. To Bobst Library

3. To Tisch School of the Arts

4. To Tisch Hall

5. To Astor Place

6. To Tisch School of the Arts

7. To Bobst Library

8. To Astor Place

Pure Data Sketch for 7 Transitions

Sketch for 7 Transitions (sound file, 2:50)

7 Transitions is the working title of a public sound installation I’ve been developing over the past two months. Audio for the project will be generated interactively through a Pure Data patch incorporating GPS data that triggers elements of the composition. The sketch brings together various aspects of Pd programming introduced in the first half of the semester.

It’s really great to produce something substantial with a visual programming language. Something about the workflow is both liberating and enjoyable to me. This is just the first sketch and it still needs work but peer response was favorable and you’re welcome to download the files and have a look. Soon I’ll have NMEA sentences running through the patch, too.

Stranger Interaction: Whitney Biennial

“What do you think of this one?” I ask the guard, a short woman with an accent I cannot trace. We’re standing in the Sculpture Court of the Whitney Museum, surrounded by Theaster Gates’ installation, Cosmology of Yard.

“I like this; it’s one of my favorites,” she says.

“Mine, too.”

“On the 5th and 6th floor, though, that’s interesting to me,” she shares, referring to the retrospective of Whitney Biennials.

“Yes, a historical perspective,” I follow.

She goes on to describe works on other floors that she likes, some of which also appealed to me, like Aki Sasamoto’s Strange Attractors, others I didn’t remember. We return to the subject of Gates’ project. The woman explains to me the performance aspect occurring intermittently through May.

“He was here last week,” she says, referring to the artist. “He sings.” She gestures with her hands, filling her lungs with air, and continues. “He has,” she searches for the vocabulary, “a very strong voice. Like a lament.”

It’s incredibly nice out today and after we exchange a few more words—including her recommendations for upcoming performances—I lean out of the conversation.

“Enjoy the day,” I bid her.

“Thanks. You too.”

Mystic Chiasm

For our midterm project in Reading and Writing Electronic Text, I drew from nineteenth century Catholic mysticism. The assignment had two parameters:
• Devise a new poetic form.
• Create a computer program that generates texts that conform to the poetic form you devised.

I decided on a formal/semantic approach incorporating the poetic verse of Thérèse of Lisieux as source text. A Carmelite nun from the age of 15, St. Thérèse’s short life was characterized by deep devotion and prolific writing. My program arranges nine randomly selected lines of her poetry in a chiastic structure: A B C D E D C B A. Because of the mystical and devotional qualities of Thérèse’s text, the content of the poems is designed to move from human beings to the Divine and back again. As such, the A lines always contain some reference to “I,” “me,” “we,” or “us” while the central E line always contains a reference to God such as “Father,” “Son,” or “Spirit.” This collaboration results in countless variations of poetic text with new interpretations revealed in each cycle.

Here is a selection of poems generated by the program, Mystic Chiasm.

I.
I love the fires of dawn,
  Do angels seek my home
    And give myself, in sacrifice unpriced,
      How cool this verdant grove,
        To offer Lord, to Thee.
      Sister! form apostolic souls,
    To Hope, the voyage seems one little day;
  Helped here by me, shall conquer souls;
My peaceful home,—to fight. Forgive me, if I fear!

II.
For us from Heaven didst Thou flee;
  I crave, I crave, the hearts of men.
    I wait in peace, on time’s dark coast,
      I give my joys, my tears,
        Thou tiny Jesu, Light of Light!
      Thy ecstasy the Blest exult to see.
    From His high court on His eternal hill;
  Remember that Thine eyes beheld the fields
To those who loved me best, so dear, so true, so kind,

III.
And willingly I go,
  Yet for the rose of penitence
    Upon your throbbing heart shall lie,
      Go, catch for Him some charming birds,
        For pain to Thee, my Jesus! was so dear
      To Thee I sacrifice my joy, my eighteen years.
    Then you will be greatly blest.
  I can not help but think,—oh! let me tell my thought!
We have come down from heaven’s eternal height,

IV.
How shall I find relief
  In Thee, the glorious stars are mine;
    So, in my turn, my love to Thee is given,
      Thou art the lovely Flower of spring,
        E’en now to suffer, Love is urging Thee.
      When, pressing on through heaven’s gate,
    When Joseph came to bid thee wake, and straightway flee from home;
  In ecstasy would fain each seraph undefiled
Jesu! may I expire

And here is the Python code.

import sys
import random
import re

verse = list()
person = list()
divinity = list()

for line in sys.stdin:
  line = line.strip()
  verse.append(line)
  if re.search(r'\bI\b|\b[Mm]e\b|\b[Ww]e\b|\b[Uu]s\b', line):
    person.append(line)
  if re.search(r'\bFather\b|\bSon\b|\bSpirit\b|\bThee\b|\bThou\b|\bJesus\b|\bChrist\b|\bLord\b', line):
    divinity.append(line)

print random.choice(person)
print "  " + random.choice(verse)
print "    " + random.choice(verse)
print "      " + random.choice(verse)
print "        " + random.choice(divinity)
print "      " + random.choice(verse)
print "    " + random.choice(verse)
print "  " + random.choice(verse)
print random.choice(person)

Images Collected Along the 7

Random Inflation

January, the Labor Department said,
everything from rent to cigarettes —
downward trend: it fell 0.1 percent in
when to raise the crucial short-term
benchmark interest rate, for instance —
normalize lending! The cost of living
increasing only 0.2 percent! A closely
January, the first decrease since 1982.
scaling back emergency measures to
consumer prices suggested that
were still a way off! A report on
government data on Friday reinforced
food and fuel costs underscored the
extraordinarily low interest rates.
That should ease some of the pressure
watched measure that excludes volatile
inflation appeared to be largely in
with the price of a variety of goods —
tighten monetary policy — raising the
check, despite a period of
support the economy, the latest
the notion that more drastic efforts to
on Fed policy makers as they consider
in the United States remained steady in
While the Federal Reserve has begun
interest rate and take smaller steps to

Source text: U.S. Inflation Report Gives Fed Breathing Room on Rates, The New York Times

Python code:

import sys
import random

all_lines = list()

for line in sys.stdin:
  line = line.strip()
  line = line.replace('. ', '! ')
  all_lines.append(line)

random.shuffle(all_lines)

for line in all_lines:
  print line

Project Proposal

Project Description
Rising above Queens as it stretches from the East River to Main Street, Flushing, the 7 train bisects a series of vibrant and diverse neighborhoods. Each stop along the way opens to different languages, histories, and vantages on the city. And yet, by nature of their location and juxtaposition, these are cultures in flux—origins that once may have been neatly traced are being obscured, with new roots being put down each and every day. This Sound and the City project responds to the transformative process that is relocation, urban coalescence, and media culture. Adopting a train car on the 7 as the site of an immersive sound installation, the composition will unfold in stages corresponding to areas the train passes through.

The Site
As a project that explores the nomadic condition and intermingling of cultures, the enclosed space of a train car on the 7 seems an appropriate site for this urban intervention. The train is constantly in motion as it offers a window onto the borough of Queens. Acoustically, waves will overlap within the metal, plastic, and glass chamber. It is also a relatively accessible space in which people are pressed together regardless of economic and cultural demographics. And finally, I know the 7. Having traveled its entire length almost every day of the week for the past few years, this is a project born of long observation and experience.

Technical Description
To deploy a location-aware sound installation, I will incorporate a GPS module whose coordinates will be fed into an audio programming environment. The sounds generated will be sent to speakers arranged throughout the car. Electrical power options for operating the speakers will need to be investigated, as well as the nature of their connection. Because there is a surreptitious aspect to the installation, sensitivity to time of day will also be necessary. This could mean the middle of the afternoon or the middle of the night. The important thing is that travelers be drawn into an unexpected space of evolving sound.

Conclusion
Through this project, I seek to reflect on the dynamics and consequences of nomadism and the influence of proximity.



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