Spain Energy Generation Dashboard

Mon, 13 Jul 2026 23:07:33 +0700

Welcome!

I came across this Kaggle dataset on Spain’s electricity generation and thought it would be fun to turn it into something a little more interactive. Instead of staring at rows of numbers, I wanted a way to explore how the country’s energy mix has changed over time and see how different energy sources compare.

The dashboard lets you browse the data at your own pace. You can look at long-term trends, compare renewable and non-renewable sources, also check the deepdive part, and hopefully spot a few interesting patterns along the way.

Have a look around and see what you find.

https://danilyanedo7.github.io/kaggle-energy/

Work With Me

I’m always open to:

Collaborations
Coaching or workshop opportunities
Visual design or storytelling projects

Let’s connect and chat!

CoE MicroPlanet Global Ambassador Program

Wed, 15 Apr 2026 10:00:00 +0700

The Global Ambassador Program (GAP), launched by the Scientific Committee for Equal Opportunities (SCEO) of the Cluster of Excellence MicroPlanet, supports international trainees who have overcome educational or socioeconomic barriers and enables them to strengthen scientific links between the CoE and their home countries. This outreach program was carried out over six days across two partner institutions in Indonesia, combining scientific dissemination, practical skill transfer, and structured academic mentoring.

Undergraduate biology education at many Indonesian universities remains disconnected from contemporary research practice. Computational biology and reproducible analysis are largely absent from the curriculum, which relies heavily on click-based software such as SPSS. This obscures analytical logic and prevents students from understanding how results are constructed or reproduced. In parallel, pathways to international MSc and PhD programs are opaque — students lack the framework to identify funded positions, understand evaluation criteria, or communicate effectively with potential supervisors. These barriers are structural and often unspoken, causing talent to be lost before it is ever fairly evaluated.

The program was delivered at two institutions, with three full days of activities at each.

Day 1 – Economic Principles of Microbial Growth: Allocation, Trade-offs, and Quantitative Models
Introduction to microbial growth kinetics, bioreactors, and the integration of computation in microbiology, drawing from MicroPlanet WP 7.1 research themes. Around 200 students joined in a hybrid format at Institut Teknologi Sepuluh Nopember (ITS), and it turned into a lively discussion about microbiology, research, and career paths in science. The session at ITS was delivered together with Catalin Rusnac from Replifactory.

Day 2 – R for Biologists: Data Wrangling, Visualization, and Reproducible Analysis
Participants worked through an R exercise covering data cleaning with the tidyverse, visualization with ggplot2, and reproducible reporting with R Markdown, moving away from click-based tools like SPSS.

Day 3 – Preparing for Graduate Studies Overseas: Applications, Funding, and Mentorship Session
We went through how to find funded MSc and PhD positions, what selection committees look for, how to write emails to potential supervisors, and the scholarship landscape (Erasmus+, FWF, DAAD), followed by one-on-one mentoring.

At Universitas Muhammadiyah Malang (UMM), we held sessions with faculty members from several departments. The discussion covered similar topics and turned into a thoughtful exchange about research, studying overseas, and scientific collaboration.

On the last day, I returned to my hometown and visited my old high school. Standing there again, but this time sharing my journey as someone who left, studied abroad, and is now doing a PhD, felt quite emotional. It made me reflect on how far the journey has been, and how important it is for younger students to see that pursuing a university degree is possible.

To measure the impact of the program, participants completed a self-assessment questionnaire before and after the sessions (scale 1–5). The results are summarized in the dumbbell chart below.

Day 1 (Guest Lecture) showed modest gains in kinetics knowledge (3.65 → 3.89), economic trade-offs (3.63 → 3.90), and quantitative models (3.43 → 3.78), reflecting increased conceptual exposure.

Day 2 (Technical Workshop) saw improvements across all four metrics: R familiarity (2.90 → 3.50), data wrangling (2.73 → 3.35), reproducibility (3.02 → 3.38), and data visualization (2.67 → 3.38), indicating meaningful skill development during the hands-on session.

Day 3 (Graduate Preparation) recorded the largest shifts. Confidence level jumped from 2.00 to 4.36, application document knowledge from 1.91 to 4.36, program identification from 2.18 to 4.45, and scholarship awareness from 2.55 to 4.00. Participants reported higher confidence and knowledge after the session, although the questionnaire measured self-perception rather than independently tested learning.

Partner Institutions

Institution
Institut Teknologi Sepuluh Nopember (ITS), Surabaya
Universitas Muhammadiyah Malang (UMM), Malang

This experience reminded me why science outreach matters.

Standing in front of students and early-career researchers like me, I wanted to show that a path in science, even the unconventional and messy kind, is something real and within reach. I am grateful for the chance to represent CoE MicroPlanet, and it meant a lot to come back and reconnect with the communities that shaped where I started.

The Journey from Vienna to East Java

11,000 km by air. 610 km by road. Two weeks across three cities.

The journey began with a roughly 21-hour flight from Vienna to Surabaya, about 11,000 km with one stopover. We arrived on a Sunday and hit the ground running. Starting Monday, we spent four days at Institut Teknologi Sepuluh Nopember (ITS), delivering the program back-to-back through Thursday.

On Friday we packed up and drove about 100 km south to Malang, roughly a 2-hour drive through East Java’s countryside. The sessions at Universitas Muhammadiyah Malang (UMM) ran on Monday and Tuesday of the second week, covering similar ground but with a different audience of faculty members and researchers.

Then came the longest road leg, Wednesday we drove another 210 km east from Malang to Bondowoso, about 4 hours through the mountains and beaches. After a day of settling in and reconnecting with the town, the final session took place on Friday at my old high school. In total, the program covered roughly 11,610 km.

Work With Me!

I’m always open to:

Collaborations on outreach and capacity building
Guest lectures or workshop invitations
Mentoring partnerships

Let’s connect and chat!

Some Documentations

Sharing session with high school student in Bondowoso

UMM Day 1 - Showing participant how the bioreactor works

ITS Day 1 - Bioreactor setup and hands-on session

ITS Day 1 - Over 200 participants consisting bachelor's and master's student

POV during the session at UMM Malang

ITS Day 2 - R workshop and bioreactor development

"Huh, this used to be working?!"

Shinyapp for biologist: apps and usage tutorial

Fri, 11 Oct 2024 16:07:33 +0700

Welcome! This is my first R Shiny project, a simple app for mapping species observation data.

You upload a CSV with one row per observation (species name, site, abundance, latitude/longitude, conservation status, and habitat type), or tick a box to try it with built-in dummy data on Javan wildlife. The app then plots each observation as a circle on a leaflet map, centered on coordinates you choose, with a popup showing the species, site, abundance, conservation status, and habitat type on click.

You can explore the code and try it yourself here:
GitHub Repo

It’s still a work in progress, built mainly so field researchers and students can visualize their own biodiversity data without writing any code.

Why I Built This

As a biologist, I often wished for lightweight, user-friendly tools that didn’t require advanced programming knowledge to analyze spatial biodiversity data. Shiny gives us a way to build just that interactive dashboards powered by R.

I hope these apps can help others explore their ecological data more intuitively, even as I continue to refine and expand their features.

Let’s Collaborate

Interested in using or customizing these apps for your own work? Want to build something together?

I’m open to collaborations, projects, or teaching opportunities.
Let’s get in touch!

Featured | Edo Danilyan