BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
PRODID:-//Telerik Inc.//Sitefinity CMS 15.1//EN
BEGIN:VTIMEZONE
TZID:Eastern Standard Time
BEGIN:STANDARD
DTSTART:20251102T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYHOUR=2;BYMINUTE=0;BYMONTH=11
TZNAME:Eastern Standard Time
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250301T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYHOUR=2;BYMINUTE=0;BYMONTH=3
TZNAME:Eastern Daylight Time
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:Kaninik Baradi will present at the November Institutional Gramm
 ar Research Initiative (IGRI) research seminar.Abstract:&nbsp\;This presen
 tation makes a significant contribution to the understanding of procedural
  justice in climate change adaptation and the application of institutional
  network analysis. It addresses the critical yet underexplored issue of ho
 w decision-making processes in adaptation policies impact vulnerable commu
 nities. By focusing on procedural justice principles—such as inclusivity\,
  transparency\, accountability\, and correctability—this research develops
  a framework to evaluate the fairness of these policies ex-ante\, before i
 mplementation\, ensuring that marginalized groups are meaningfully involve
 d and protected.A key innovation of this study is the integration of AI\, 
 specifically Large Language Models (LLMs)\, to automate the labour-intensi
 ve process of coding institutional statements in policy documents using th
 e Institutional Grammar (IG) syntax. This AI-supported approach significan
 tly enhances the scalability and efficiency of institutional network analy
 sis\, enabling a more comprehensive evaluation of complex policies.The fra
 mework is applied in a case study of a World Bank-funded wastewater infras
 tructure project in Chennai\, India\, providing empirical insights into ho
 w institutional rules either promote or hinder procedural justice througho
 ut the project’s planning\, construction\, and operation phases.The findin
 gs reveal significant gaps in procedural fairness\, particularly concernin
 g participation\, transparency\, and accountability for vulnerable communi
 ties. This research not only advances the methodology for policy analysis 
 but also provides actionable insights for policymakers to create more equi
 table and just climate adaptation policies. By pioneering the use of AI in
  this domain and operationalizing procedural justice principles for ex-ant
 e analysis\, the study sets a new standard for ensuring fairness in climat
 e adaptation initiatives.
DTEND:20241105T180000Z
DTSTAMP:20260312T165811Z
DTSTART:20241105T170000Z
LOCATION:
SEQUENCE:0
SUMMARY:Ex-Ante Assessment of Procedural Justice in Climate Adaptation
UID:RFCALITEM639089170916602620
X-ALT-DESC;FMTTYPE=text/html:<p>Kaninik Baradi will present at the November
  Institutional Grammar Research Initiative (IGRI) research seminar.</p><p>
 <strong>Abstract:&nbsp\;</strong></p><p>This presentation makes a signific
 ant contribution to the understanding of procedural justice in climate cha
 nge adaptation and the application of institutional network analysis. It a
 ddresses the critical yet underexplored issue of how decision-making proce
 sses in adaptation policies impact vulnerable communities. By focusing on 
 procedural justice principles—such as inclusivity\, transparency\, account
 ability\, and correctability—this research develops a framework to evaluat
 e the fairness of these policies ex-ante\, before implementation\, ensurin
 g that marginalized groups are meaningfully involved and protected.</p><p>
 A key innovation of this study is the integration of AI\, specifically Lar
 ge Language Models (LLMs)\, to automate the labour-intensive process of co
 ding institutional statements in policy documents using the Institutional 
 Grammar (IG) syntax. This AI-supported approach significantly enhances the
  scalability and efficiency of institutional network analysis\, enabling a
  more comprehensive evaluation of complex policies.</p><p>The framework is
  applied in a case study of a World Bank-funded wastewater infrastructure 
 project in Chennai\, India\, providing empirical insights into how institu
 tional rules either promote or hinder procedural justice throughout the pr
 oject’s planning\, construction\, and operation phases.</p><p>The findings
  reveal significant gaps in procedural fairness\, particularly concerning 
 participation\, transparency\, and accountability for vulnerable communiti
 es. This research not only advances the methodology for policy analysis bu
 t also provides actionable insights for policymakers to create more equita
 ble and just climate adaptation policies. By pioneering the use of AI in t
 his domain and operationalizing procedural justice principles for ex-ante 
 analysis\, the study sets a new standard for ensuring fairness in climate 
 adaptation initiatives.<strong></strong></p>
END:VEVENT
END:VCALENDAR