<p>This podcast examines how generative AI is transforming data analysis beyond traditional methods. We explore AI's ability to create content from data while highlighting the shift from rigid workflows to conversational, iterative approaches. The discussion covers AI integration across all analytical stages while emphasizing essential human oversight.</p><p>We address practical considerations including file compatibility, computational limitations, and effective prompt engineering techniques. Through examples spanning various dataset types, we demonstrate generative AI's analytical capabilities and limitations, referencing research from OpenAI, Google and Anthropic on AI performance in data analysis </p>

<p>This podcast discusses a model for professional governance of Indonesian Village-Owned Enterprises (BUMDes). The podcast highlights the current lack of professional management in many BUMDes and offers a four-stage model (Planning, Organizing, Actuating, Controlling) to improve their operations. The podcast also recommends revisions to existing regulations to better support BUMDes development, emphasizing collaboration, transparency, and capacity building. Case studies of two BUMDes illustrate the complexity of existing governance structures. Finally, the speaker call for further research and implementation support to create successful role models for other BUMDes.</p>

<p>This podcast discusses a model for professional governance of Indonesian Village-Owned Enterprises (BUMDes). The podcast highlights the current lack of professional management in many BUMDes and offers a four-stage model (Planning, Organizing, Actuating, Controlling) to improve their operations. The podcast also recommends revisions to existing regulations to better support BUMDes development, emphasizing collaboration, transparency, and capacity building. Case studies of two BUMDes illustrate the complexity of existing governance structures. Finally, the speaker call for further research and implementation support to create successful role models for other BUMDes.</p>

<p>This episode advocates for using the Foresight methodology to build sustainable villages in Indonesia.&nbsp;<strong>Foresight</strong>, a UNDP-developed approach, involves analyzing trends and developing future scenarios to proactively plan for rural development. The article details a five-stage Foresight process:&nbsp;<strong>identifying stakeholders</strong>,&nbsp;<strong>investigating trends and challenges</strong>,&nbsp;<strong>imagining future scenarios</strong>,&nbsp;<strong>integrating strategies</strong>, and&nbsp;<strong>implementing actions. </strong>This episode emphasizes the importance of this approach, especially in the context of environmental sustainability and celebrating Earth Day. Ultimately, the goal is to create a shared vision for a thriving and environmentally responsible rural future in Indonesia.</p>

<p>Explore how technology, communication, and crisis management intersect in Jakarta’s battle against devastating floods. This episode delves into Twitter data from major flood events in 2015, 2020, and 2021, uncovering public concerns ranging from submerged houses to road closures, power outages, and empathy. Discover how social media has become a vital tool for real-time insights and public communication, shaping narratives and influencing policy decisions. Through topic modeling, we reveal patterns in public sentiment and discuss how platforms like Twitter enhance disaster management strategies, reflecting struggles and driving change in the face of natural disasters.</p>

<p>This podcast presents a narrative from the chapter titled <em>"Disinformasi di YouTube: Pemilihan Presiden 2019 dan 2024"</em> in the book <em>"Jurnalisme Cekfakta Melawan Disinformasi Pemilu 2024"</em>—available for download at <a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://aji.or.id/data/jurnalisme-cekfakta-melawan-disinformasi-pemilu-2024">⁠</a><a target="_blank" rel="noopener noreferrer nofollow" href="http://aji.or.id">aji.or.id</a><a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://aji.or.id/data/jurnalisme-cekfakta-melawan-disinformasi-pemilu-2024">⁠</a>. The chapter explores how YouTube, particularly YouTube Shorts, has become a platform for disinformation during the Indonesian presidential elections in 2019 and 2024. By analyzing video content, user comments, and the spread of disinformation through echo chambers, the authors highlight the lack of intervention from the platform in removing misleading content. </p>

<p>This podcast presents a narrative of the research paper titled <em>"Population Mobility and Air Quality During the COVID-19 Pandemic: A Case Study of DKI Jakarta"</em>—available for download at <a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://ejournal2.undip.ac.id/index.php/jwl/article/view/17841">⁠</a><a target="_blank" rel="noopener noreferrer nofollow" href="http://ejournal2.undip.ac.id">ejournal2.undip.ac.id</a><a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://ejournal2.undip.ac.id/index.php/jwl/article/view/17841">⁠</a>. The study investigates how population mobility impacted air quality in Jakarta, Indonesia, during the COVID-19 pandemic. Using the Driver–Pressure–State–Impact–Response (DPSIR) framework, the research analyzes data from the Google Mobility Index, TomTom Traffic Index, and Twitter to explore the relationship between mobility changes and air pollution levels.</p>

<p>This podcast presents a narrative of the research paper titled <em>"Unraveling Indonesian Public R&amp;D Institutions’ Perspectives on ChatGPT: An Analytical Approach to Decoding Open-Ended Surveys Through Topic Modeling"</em>—available for download at <a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://www.stipmjournal.org/index.php/stipm/article/view/386">⁠</a><a target="_blank" rel="noopener noreferrer nofollow" href="http://stipmjournal.org">stipmjournal.org</a><a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://www.stipmjournal.org/index.php/stipm/article/view/386">⁠</a>. The study investigates the perspectives of Indonesian public research and development (R&amp;D) institutions on ChatGPT and other AI technologies. Through a comprehensive survey of researchers and the application of topic modeling techniques, such as Latent Dirichlet Allocation (LDA) and Principal Component Analysis (PCA), the study uncovers three major themes.</p>

<p>This podcast delves into a research study that explores the representation of Indonesian traditional cuisine in food vlogs on YouTube. By analyzing over 12,000 videos from 13 Indonesian YouTube channels, the study examines various factors such as food types, geographic locations, and the growing trend of mukbang (eating show) content. The findings reveal that traditional Indonesian cuisine is prominently featured, with a notable focus on spicy dishes and foods from Java. Additionally, the research highlights the presence of foreign cuisine, particularly from Western and Latin American countries, showcasing the diversity and evolving landscape of culinary.</p>