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UID:0bc14244e359e8b2c9604684d84cc3e6
CATEGORIES:Webinars
CREATED:20211120T121117
SUMMARY:FLAME Upskill Series | Workshop 03 | Academia in 2020: Data and Knowledge Production in a Digital World
DESCRIPTION:FLAME Upskill is a series of exclusive workshops for high school students o
 n interdisciplinary topics from various fields spanning humanities, science
 s, artificial intelligence, communication, sports and arts amongst others. 
 The series will focus on helping high school students develop crucial skill
 s necessary for a journey of lifelong learning. The series has been concept
 ualized as a reflection of the liberal education ethos practiced and delive
 red at FLAME University. Attendees will receive a Letter of Participation i
 n appreciation for their efforts during the workshop. These workshops will 
 be conducted for a limited number of participants and selection will be don
 e on a first-come-first-serve basis.\nFor the third workshop, we bring to y
 ou:\nACADEMIA IN 2020: DATA AND KNOWLEDGE PRODUCTION IN A DIGITAL WORLD\nSa
 turday, 17th October, 2020 | 04.00 pm to 05.30 pm\nThe workshop will trace 
 historical debates about how intuition and observation shape human knowledg
 e, and discuss their relevance in today's digital world, where it's commonl
 y believed that data (a set of observations) 'is the new oil'. In particula
 r, the workshop will discuss how this push towards data-driven knowledge ge
 neration has increased the use of data analysis and 'coding' in seemingly u
 nrelated fields of academia, such as biology, economics, psychology, medici
 ne and social sciences.\nSPEAKER\nProf. Kaushik Gopalan | Ph.D. - Electrica
 l Engineering, University of Central Florida, USA; Associate Professor – Co
 mputer Science, FLAME University\nProf. Gopalan holds a doctorate degree in
  Electrical Engineering. From 2008 to 2011, he was a Researcher with the Ea
 rth System Science Interdisciplinary Center, University of Maryland, Colleg
 e Park. He served as a Scientist with the Space Applications Centre - ISRO,
  Ahmedabad from 2011-2020.\nKaushik’s research has involved applying statis
 tical analysis and methods to solve a variety of problems in the field of S
 atellite Remote Sensing, with a focus on the retrieval of geophysical param
 eters from satellite data; conceptually a “statistical inversion” problem w
 here unmeasurable independent variables are inferred using measurable depen
 dent variables. He has contributed to NASA’s Global Precipitation Mission a
 nd Tropical Rainfall Measurement Mission, and to ISRO’s Megha - Tropiques, 
 INSAT-3DR, SCATSAT-1 and NAVIC missions in various capacities.\n (https://u
 s02web.zoom.us/meeting/register/tZItfuirpz8oGNK28J5H9XiP2DemzQhTPfNE)\n \n
X-ALT-DESC;FMTTYPE=text/html:<table style="font-family: Helvetica, Arial, Calibri; font-size: 16px; back
 ground: #ffffff; border: 1px solid #1c3868; color: #0b3e6a; width: 800px !i
 mportant;" border="0" cellspacing="0" cellpadding="0" align="center" bgcolo
 r="#ffffff"><tbody><tr><td style="display: block;" colspan="2" bgcolor="#1c
 3868"><img src="dm/webinars/images/FLAME-Upskill-Series-Workshop-03.jpg" al
 t="FLAME Upskill Series" width="800" height="409" /></td></tr><tr><td style
 ="padding: 10px 20px; text-align: justify; color: #ffffff; border-top: 1px 
 solid #294d89;" colspan="2" bgcolor="#1c3868"><div><p>FLAME Upskill is a se
 ries of exclusive workshops for high school students on interdisciplinary t
 opics from various fields spanning humanities, sciences, artificial intelli
 gence, communication, sports and arts amongst others. The series will focus
  on helping high school students develop crucial skills necessary for a jou
 rney of lifelong learning. The series has been conceptualized as a reflecti
 on of the liberal education ethos practiced and delivered at FLAME Universi
 ty. Attendees will receive a Letter of Participation in appreciation for th
 eir efforts during the workshop. These workshops will be conducted for a li
 mited number of participants and selection will be done on a first-come-fir
 st-serve basis.</p></div></td></tr><tr><td style="padding: 10px 20px; backg
 round: #ffffff; border-top: 0px solid #f8ab2b; text-align: justify;" colspa
 n="2"><p><span style="; border-radius: 0px 5px 5px 0px; padding: 10px 0px; 
 color: #1c3868;"><strong>For the third workshop, we bring to you:</strong><
 /span></p><p><span style="text-transform: uppercase; font-weight: bold; fon
 t-size: 18px; background: #fab301; padding: 10px;">ACADEMIA IN 2020: DATA A
 ND KNOWLEDGE PRODUCTION IN A DIGITAL WORLD</span></p><p><span style="color:
  #fab301;"><strong>Saturday, 17th October, 2020 | 04.00 pm to 05.30 pm</str
 ong></span></p><p>The workshop will trace historical debates about how intu
 ition and observation shape human knowledge, and discuss their relevance in
  today's digital world, where it's commonly believed that data (a set of ob
 servations) 'is the new oil'. In particular, the workshop will discuss how 
 this push towards data-driven knowledge generation has increased the use of
  data analysis and 'coding' in seemingly unrelated fields of academia, such
  as biology, economics, psychology, medicine and social sciences.</p><p sty
 le="font-size: 18px;"><strong><u>SPEAKER</u></strong></p><p><strong>Prof. K
 aushik Gopalan | Ph.D. - Electrical Engineering, University of Central Flor
 ida, USA; Associate Professor – Computer Science, FLAME University</strong>
 </p><p>Prof. Gopalan holds a doctorate degree in Electrical Engineering. Fr
 om 2008 to 2011, he was a Researcher with the Earth System Science Interdis
 ciplinary Center, University of Maryland, College Park. He served as a Scie
 ntist with the Space Applications Centre - ISRO, Ahmedabad from 2011-2020.<
 /p><p>Kaushik’s research has involved applying statistical analysis and met
 hods to solve a variety of problems in the field of Satellite Remote Sensin
 g, with a focus on the retrieval of geophysical parameters from satellite d
 ata; conceptually a “statistical inversion” problem where unmeasurable inde
 pendent variables are inferred using measurable dependent variables. He has
  contributed to NASA’s Global Precipitation Mission and Tropical Rainfall M
 easurement Mission, and to ISRO’s Megha - Tropiques, INSAT-3DR, SCATSAT-1 a
 nd NAVIC missions in various capacities.</p><p><a href="https://us02web.zoo
 m.us/meeting/register/tZItfuirpz8oGNK28J5H9XiP2DemzQhTPfNE"><img src="dm/we
 binars/images/Register-Now.jpg" alt="REGISTER NOW" width="190" height="60" 
 /></a></p></td></tr></tbody></table><p> </p>
DTSTAMP:20260411T163426
DTSTART;TZID=Asia/Kolkata:20201017T160000
DTEND;TZID=Asia/Kolkata:20201017T173000
SEQUENCE:0
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