-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathresearch.html
More file actions
285 lines (256 loc) · 13.2 KB
/
research.html
File metadata and controls
285 lines (256 loc) · 13.2 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Research — BioComplex Lab</title>
<link rel="stylesheet" href="styles.css">
</head>
<body>
<header class="site-header">
<nav>
<div class="nav-container">
<div class="nav-brand">
<a href="index.html"><img src="Images/logo.png" alt="BioComplex Lab"></a>
</div>
<button class="nav-toggle" aria-label="Toggle navigation" aria-expanded="false">
<span></span><span></span><span></span>
</button>
<ul class="nav-menu">
<li><a href="index.html" class="nav-link">Home</a></li>
<li><a href="research.html" class="nav-link active">Research</a></li>
<li><a href="latest-news.html" class="nav-link">Latest News</a></li>
<li><a href="collaborators.html" class="nav-link">Collaborators</a></li>
<li><a href="projects.html" class="nav-link">Projects</a></li>
<li><a href="about-us.html" class="nav-link">About Us</a></li>
<li><a href="join-the-lab.html" class="nav-cta">Join the Lab</a></li>
</ul>
</div>
</nav>
</header>
<div class="page-header">
<div class="section-inner">
<h1>Our <em>Research</em></h1>
<p>Exploring complexity through networks, computation, and data.</p>
</div>
</div>
<!-- ── THEMES ── -->
<section class="section section-tint">
<div class="section-inner fade-in">
<span class="section-label">Research Themes</span>
<h2 class="section-heading">Three pillars of <em>our work</em></h2>
<div class="research-cards">
<div class="research-card">
<div class="research-card-icon"><span class="icon-tint" style="-webkit-mask-image:url('Images/icons/hexagon-nodes-solid.png');mask-image:url('Images/icons/hexagon-nodes-solid.png')" role="img" aria-label="Network Science icon"></span></div>
<h3>Network Science</h3>
<p>We build and analyse complex networks across social, urban, and informational
systems to understand how their structure shapes dynamics, robustness, and
emergent behaviour at multiple scales.</p>
</div>
<div class="research-card">
<div class="research-card-icon"><span class="icon-tint" style="-webkit-mask-image:url('Images/icons/code-compare-solid.png');mask-image:url('Images/icons/code-compare-solid.png')" role="img" aria-label="Computational Modelling icon"></span></div>
<h3>Computational Modelling</h3>
<p>We develop agent-based, optimisation, and biologically inspired computational
models to simulate and predict complex system dynamics — from crime patterns
and misinformation spread to urban inequality and human mobility.</p>
</div>
<div class="research-card">
<div class="research-card-icon"><span class="icon-tint" style="-webkit-mask-image:url('Images/icons/chart-line-solid.png');mask-image:url('Images/icons/chart-line-solid.png')" role="img" aria-label="Data-Driven Discovery icon"></span></div>
<h3>Data-Driven Discovery</h3>
<p>We apply machine learning, statistical inference, and AI-driven analysis to
large-scale datasets, uncovering hidden patterns and emergent properties that
support evidence-based understanding of complex social and urban systems.</p>
</div>
</div>
</div>
</section>
<!-- ── FOCUS AREAS ── -->
<section class="section section-white">
<div class="section-inner fade-in">
<span class="section-label">Current Focus</span>
<h2 class="section-heading">Questions driving <em>our science</em></h2>
<div class="two-col mt-lg">
<div>
<h3 style="font-family:'Fraunces',serif; font-size:1.4rem; font-weight:700; margin-bottom:0.75rem; color:var(--charcoal);">
How does network topology shape resilience?
</h3>
<p style="color:var(--gray); line-height:1.8; font-size:0.95rem;">
Placeholder description of this research question. Replace with the lab's
actual focus area, specific organisms or systems studied, and key methods.
</p>
</div>
<div class="col-blob">Placeholder Image</div>
</div>
<div class="two-col reverse mt-lg">
<div>
<h3 style="font-family:'Fraunces',serif; font-size:1.4rem; font-weight:700; margin-bottom:0.75rem; color:var(--charcoal);">
What drives emergent dynamics in biological systems?
</h3>
<p style="color:var(--gray); line-height:1.8; font-size:0.95rem;">
Placeholder description of this research question. Replace with the lab's
actual focus area, specific organisms or systems studied, and key methods.
</p>
</div>
<div class="col-blob">Placeholder Image</div>
</div>
</div>
</section>
<!-- ── PUBLICATIONS ── -->
<section class="section section-tint">
<div class="section-inner fade-in">
<span class="section-label">Publications</span>
<h2 class="section-heading">Selected <em>publications</em></h2>
<!-- Stats bar — populated by JS -->
<div id="pub-stats" class="pub-stats-bar mt-md"></div>
<!-- Publication list — populated by JS -->
<div id="pub-container">
<div class="pub-loading">
<div class="pub-spinner"></div>
<span>Loading publications…</span>
</div>
</div>
</div>
</section>
<footer>
<img src="Images/logo.png" alt="BioComplex Lab">
<span>© 2026 BioComplex Lab, University of Exeter</span>
<div class="footer-social">
<a href="#" aria-label="LinkedIn"><img src="Images/icons/square-linkedin-brands-solid.png" alt="LinkedIn"></a>
<a href="#" aria-label="BlueSky"><img src="Images/icons/square-bluesky-brands-solid.png" alt="BlueSky"></a>
</div>
</footer>
<script>
const toggle = document.querySelector('.nav-toggle');
const menu = document.querySelector('.nav-menu');
toggle.addEventListener('click', () => {
const open = menu.classList.toggle('nav-open');
toggle.setAttribute('aria-expanded', open);
});
const observer = new IntersectionObserver(
entries => entries.forEach(e => { if (e.isIntersecting) e.target.classList.add('visible'); }),
{ threshold: 0.08 }
);
document.querySelectorAll('.fade-in').forEach(el => observer.observe(el));
</script>
<script>
/* ── Publications loader ──────────────────────────────────────────────────
Reads data/members.json to get feed URLs, fetches each member's stats.json
in parallel, merges + deduplicates by DOI, then shows the two most recent
years only (current year = most recent paper found across all feeds).
To add a member: edit data/members.json only — no HTML change needed.
──────────────────────────────────────────────────────────────────────── */
(async function () {
const container = document.getElementById('pub-container');
const statsEl = document.getElementById('pub-stats');
try {
/* 1 ── Load members config */
const membersRes = await fetch('data/members.json');
if (!membersRes.ok) throw new Error('Cannot load members.json');
const { members } = await membersRes.json();
/* 2 ── Fetch all feeds in parallel (failures handled gracefully) */
const results = await Promise.allSettled(
members.map(m =>
fetch(m.statsUrl)
.then(r => r.ok ? r.json() : Promise.reject(new Error(r.status)))
.then(data => ({ member: m, data }))
)
);
/* 3 ── Member name list for author highlighting (primary + all alt names) */
const memberNames = members.flatMap(m =>
[m.name, ...(m.altNames || [])].map(n => n.toLowerCase().trim())
);
/* 4 ── Merge publications; deduplicate by DOI (keep highest citation count) */
const seen = new Map();
let totalAllPapers = 0, totalAllCitations = 0;
results.forEach(r => {
if (r.status !== 'fulfilled') return;
const { data } = r.value;
if (data.stats) {
totalAllPapers += data.stats.paperCount || 0;
totalAllCitations += data.stats.citationCount || 0;
}
(data.publications || []).forEach(pub => {
const key = (pub.doiUrl || pub.doiValue || pub.title || '').toLowerCase().trim();
if (!seen.has(key)) {
seen.set(key, { ...pub });
} else {
const ex = seen.get(key);
if ((pub.citationCount || 0) > (ex.citationCount || 0)) {
seen.set(key, { ...pub });
}
}
});
});
/* 5 ── Find most-recent year; keep only that year and the one before */
const all = Array.from(seen.values());
if (all.length === 0) throw new Error('No publications found');
const maxYear = Math.max(...all.map(p => parseInt(p.year) || 0));
const minYear = maxYear - 1;
const filtered = all
.filter(p => parseInt(p.year) >= minYear)
.sort((a, b) => {
const dy = parseInt(b.year) - parseInt(a.year);
return dy !== 0 ? dy : (b.citationCount || 0) - (a.citationCount || 0);
});
/* 6 ── Render stats bar */
statsEl.innerHTML = `
<div class="pub-stat">
<span class="pub-stat-value">${filtered.length}</span>
<span class="pub-stat-label">Papers (${minYear}–${maxYear})</span>
</div>
<div class="pub-stat">
<span class="pub-stat-value">${totalAllPapers.toLocaleString()}</span>
<span class="pub-stat-label">Total papers</span>
</div>
<div class="pub-stat">
<span class="pub-stat-value">${totalAllCitations.toLocaleString()}</span>
<span class="pub-stat-label">Total citations</span>
</div>`;
/* 7 ── Group by year */
const byYear = {};
filtered.forEach(p => { (byYear[p.year] = byYear[p.year] || []).push(p); });
/* 8 ── Render list */
container.innerHTML = Object.keys(byYear)
.sort((a, b) => parseInt(b) - parseInt(a))
.map(year => `
<div class="pub-year-group mt-md">
<div class="pub-year">${year}</div>
<ul class="pub-list">
${byYear[year].map(pub => {
const authorsHtml = (pub.authors || []).map(a =>
memberNames.some(n => a.toLowerCase().trim() === n)
? `<span class="pub-author-self">${a}</span>`
: a
).join(', ');
const titleHtml = pub.doiUrl
? `<a class="pub-title-link" href="${pub.doiUrl}" target="_blank" rel="noopener">${pub.title}</a>`
: `<span class="pub-title-link">${pub.title}</span>`;
const metaHtml = [
pub.doiUrl
? `<span class="pub-doi">DOI: ${pub.doiValue || pub.doiUrl}</span>`
: '',
pub.citationCount
? `<span class="pub-cite-count">${pub.citationCount} citation${pub.citationCount === 1 ? '' : 's'}</span>`
: ''
].filter(Boolean).join('');
return `<li>
${titleHtml}
<span class="pub-authors">${authorsHtml}</span>
<span class="pub-venue">${pub.venue || ''}</span>
${metaHtml ? `<div class="pub-meta-row">${metaHtml}</div>` : ''}
</li>`;
}).join('')}
</ul>
</div>`)
.join('');
if (filtered.length === 0) {
container.innerHTML = '<p class="pub-error">No recent publications found.</p>';
}
} catch (err) {
container.innerHTML = '<p class="pub-error">Publications could not be loaded. Please try again later.</p>';
console.error('[BioComplex] Publications load error:', err);
}
})();
</script>
</body>
</html>