See the division into working groups and deep-dive sessions at the end of this page.
The workshop will take place in Building 38, Auditorium 10, at Ben Gurion University of the Negev.
Schedule

Talks and Posters
Find the agenda and order of the talks here. To access the posters visit the page here.
Working groups
Format:
Participants will be divided between 3-4 themes (approx. 10-15 students per theme). Within each theme, participants can divide into smaller groups of 3-4 to discuss a specific question. The goals of the discussion are:
- Identify outstanding challenges, questions, and research gaps
- Identify or suggest methods that can be used to address these questions
- Specify the data that are required to address these challenges.
Deliverables:
At the end of the workshop, each group will have completed a writeup (~1500 words) in the form of a proposal that includes a summary of the points above (questions, methods, data). A conceptual figure is encouraged! At the end of the workshop, each group will also present their ideas in a 5-min presentation (about 4 slides), followed by a discussion.
Themes:
- Predicting interactions following environmental changes (Anna Traveset, Anna Eklof). Venue: Building 28, room 102 (Monday) and 107 (Tues-Wed).
- The evolution of species interaction networks (Miguel Fortuna). Venue: Building 28, room 103.
- Harnessing network stability theory (Stefano Allesina, Jacopo Grili). Venue: Building 28, room 105.
- Applications of network ecology for sustainability and food security (Darren Evans, Laura Dee). Venue: Building 28, room 106.
Deep-dives
On the fourth day, we will have two deep-dive sessions. The goal of these sessions is to get in-depth involvement and training on a specific topic. Participants can choose one of the two. We wish to have an equal division of participants, but will do our best to accommodate participants according to their first preference.
Deep dive into linking models and data (led by Dr. Jacopo Grilli):
Venue: Building 35, room 116
Data do not speak by themselves. Mathematical models are the most efficient way to interrogate data and navigate the complexity of the empirical world. As maps are useful because they simplify reality, so are models because they capture essential features of the data. In this hands-on session, we will discuss: (1) how to connect data and models; (2) how to extract patterns from data; (3) how to assess their non-triviality using null-models and randomizations; and (4) how to proceed in formulating a generative model. The session will include hands-on programming; participants should bring their own laptops with their favorite programming language.
Deep dive into social-ecological networks and ecosystem functions (led by Dr. Laura Dee):
Venue: Auditorium 10 or Building 28, room 105.
The feedback between social and ecological systems affects ecosystem function and services and is the driver of global challenges such as climate change, infectious diseases, and the loss of biodiversity. By linking social and ecological networks we can start investigating the ongoing feedback between these complex systems and the ultimate consequences of their dynamics. The goal of social-ecological networks is to model and ultimately predict the dynamic feedback between human activities and the ecosystems they affect. This understanding can provide policymakers with a theoretical and practical framework for decision making. This mini-symposium will combine lectures by Dr. Dee with roundtable discussions to expose participants to new ideas on the interface between ecology, social sciences and sustainability. Focusing on collaborative outputs, the symposium participants will develop ideas via roundtable discussions. The mini-symposium will be open for participants of EcoNet2023 and to the School of Sustainability and Climate Change faculty members and students.
- Mitigating inefficiencies and loss in food systems: lessons from urban, land and aquatic environments (Dr. Alon Shepon, Department of Environmental Studies, Tel-Aviv univ.)
- Avoidance of visitors in a protected area raises the predation risk for the endangered Mountain gazelle (Prof. Oded Berger-Tal, Mitrani Dept. of Desert Ecology, BGU)
- Why the locals don’t swim in the lake?: Ecological restoration, social trust, and cultural preferences in a Greek lake (Prof. Nir Avieli, Dept. of Sociology and Anthropology, BGU)
Hike
The hike will take place in Ein Avedat national park. This park is a permanent, year-round water source in a hyper-arid desert area. Therefore, it is crucial for the organisms in the area. On the other hand, it is one of the most visited parks in Israel. This creates a conflict in nature conservation. Per the theme of the workshop, the goal of the hike is twofold. First, to introduce participants to the ecology of this desert system, highlighting species interactions. Second, to discuss how species’ life history interactions are affected by human activities. This hike is also a great opportunity to engage in informal conversations between participants, for example, to further discuss the working group themes.
You will need shoes (sneakers are fine), a 1.5 liter water bottle, a snack for yourself (fruit, etc), a hat and sunscreen. The hike is easy, but includes a minor climb at the end.
A | B | C | |
---|---|---|---|
1 | Participant | WG | DD |
2 | Anna Eklöf | Predicting interactions following environmental changes | Social-ecological networks |
3 | Anna Traveset | Predicting interactions following environmental changes | Social-ecological networks |
4 | Jordan Cuff | Predicting interactions following environmental changes | Social-ecological networks |
5 | Isabel Donoso | Predicting interactions following environmental changes | Linking models to data |
6 | Ádám Lovas-Kiss | Predicting interactions following environmental changes | Linking models to data |
7 | Talya Hackett | Predicting interactions following environmental changes | Linking models to data |
8 | Irene Mendoza | Predicting interactions following environmental changes | Linking models to data |
9 | Ben Hawthorne | Predicting interactions following environmental changes | Social-ecological networks |
10 | Matan Markfeld | Predicting interactions following environmental changes | Social-ecological networks |
11 | Sarah Morais | Predicting interactions following environmental changes | Social-ecological networks |
12 | Itamar Talpaz | Predicting interactions following environmental changes | Social-ecological networks |
13 | Lital Ozari | Predicting interactions following environmental changes | Social-ecological networks |
14 | Noa Mizrahi | Predicting interactions following environmental changes | Linking models to data |
15 | Yuval Bloch | Predicting interactions following environmental changes | Social-ecological networks |
16 | Stefano Allesina | Harnessing network stability theory | Linking models to data |
17 | Jacopo Grilli | Harnessing network stability theory | Linking models to data |
18 | Itzik Mizrahi | Harnessing network stability theory | Social-ecological networks |
19 | Javier Galeano | Harnessing network stability theory | Linking models to data |
20 | Niv DeMalach | Harnessing network stability theory | Linking models to data |
21 | Sam Ross | Harnessing network stability theory | Social-ecological networks |
22 | Johannes Nauta | Harnessing network stability theory | Social-ecological networks |
23 | Ohad Peled | Harnessing network stability theory | Linking models to data |
24 | Lyle Poley | Harnessing network stability theory | Social-ecological networks |
25 | Thomas Howells | Harnessing network stability theory | Social-ecological networks |
26 | Darren Evans | Applications of network ecology for sustainability and food security | Social-ecological networks |
27 | Laura Dee | Applications of network ecology for sustainability and food security | Social-ecological networks |
28 | Agustin Vitali | Applications of network ecology for sustainability and food security | Social-ecological networks |
29 | Alexandra Werner | Applications of network ecology for sustainability and food security | Social-ecological networks |
30 | Amir Erez | Applications of network ecology for sustainability and food security | Linking models to data |
31 | Oskar Rennstam Rubbmark | Applications of network ecology for sustainability and food security | Social-ecological networks |
32 | Anna Stanworth | Applications of network ecology for sustainability and food security | Social-ecological networks |
33 | Amichai Baichman-Kass | Applications of network ecology for sustainability and food security | Linking models to data |
34 | Patricia Chaves | Applications of network ecology for sustainability and food security | Social-ecological networks |
35 | Mukilan Deivarajan Suresh | Applications of network ecology for sustainability and food security | Linking models to data |
36 | Geut Galai | Applications of network ecology for sustainability and food security | Linking models to data |
37 | Sérgio Timóteo | Applications of network ecology for sustainability and food security | Social-ecological networks |
38 | Sharon Samuel | Applications of network ecology for sustainability and food security | Social-ecological networks |
39 | Pedro Leote | Applications of network ecology for sustainability and food security | Social-ecological networks |
40 | Miguel Fortuna | The evolution of species interaction networks | Linking models to data |
41 | Javier Borge-Holthoefer | The evolution of species interaction networks | Linking models to data |
42 | Jan Hrcek | The evolution of species interaction networks | Linking models to data |
43 | Keith Harris | The evolution of species interaction networks | Linking models to data |
44 | Maria Martignoni | The evolution of species interaction networks | Social-ecological networks |
45 | Ying-Jie Wang | The evolution of species interaction networks | Social-ecological networks |
46 | Fernando Pedraza | The evolution of species interaction networks | Linking models to data |
47 | Miguel Roman | The evolution of species interaction networks | Social-ecological networks |
48 | Noa Yaffa Kan | The evolution of species interaction networks | Social-ecological networks |
49 | Albert Solé-Ribalta | The evolution of species interaction networks | Linking models to data |
50 | Ophir Gidron | The evolution of species interaction networks | Linking models to data |
51 | Shiri Ezra | The evolution of species interaction networks | Linking models to data |
52 | Marie Guggenberger | The evolution of species interaction networks | Linking models to data |
53 | Grégoire Proudhom | The evolution of species interaction networks | Social-ecological networks |